812 lines
813 KiB
HTML
812 lines
813 KiB
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url: https://www.mdpi.com/2073-4395/10/9/1264
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saved date: Mon Oct 09 2023 12:11:24 GMT-0400 (hora de verano de Cuba)
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<title>Agronomy - Free Full-Text - Gestión de las manos en semilla directa seca: una revisión de los desafíos y oportunidades para la producción de arroz sostenible</title><style>:root{--sf-img-30: url("data:image/png;base64,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")}/*!
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* Font Awesome 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
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)format("woff");font-weight:normal;font-style:normal}.fa{display:inline-block;font:normal normal normal 14px/1 FontAwesome;font-size:inherit;text-rendering:auto;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}100%{-webkit-transform:rotate(359deg);transform:rotate(359deg)}}@keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}100%{-webkit-transform:rotate(359deg);transform:rotate(359deg)}}.fa-envelope-o:before{content:""}.fa-twitter-square:before{content:""}.fa-facebook-square:before{content:""}.fa-linkedin-square:before{content:""}.fa-caret-left:before{content:""}.fa-caret-right:before{content:""}.fa-envelope-square:before{content:""}.fa-reddit-square:before{content:""}.ms-options-wrap,.ms-options-wrap *{box-sizing:border-box}.ms-options-wrap>button:focus,.ms-options-wrap>button{position:relative;width:100%;text-align:left;border:1px solid #aaa;background-color:#fff;padding:5px 20px 5px 10px;margin-top:1px;margin-bottom:0;font-size:13px;color:#aaa;outline:none;white-space:nowrap;border-color:#ccc}.ms-options-wrap>button:hover{background-color:#fff;color:#aaa}.ms-options-wrap>button:after{content:" ";height:0;position:absolute;top:50%;right:5px;width:0;border:6px solid transparent;border-top-color:#999;margin-top:-3px}.ms-options-wrap>.ms-options{position:absolute;left:0;width:100%;margin-top:1px;margin-bottom:20px;background:#fff;z-index:2000;border:1px solid #aaa}/*!
|
||
Chosen, a Select Box Enhancer for jQuery and Prototype
|
||
by Patrick Filler for Harvest, http://getharvest.com
|
||
|
||
Version 1.8.7
|
||
Full source at https://github.com/harvesthq/chosen
|
||
Copyright (c) 2011-2018 Harvest http://getharvest.com
|
||
|
||
MIT License, https://github.com/harvesthq/chosen/blob/master/LICENSE.md
|
||
This file is generated by `grunt build`, do not edit it by hand.
|
||
*/.chosen-container{position:relative;display:inline-block;vertical-align:middle;font-size:13px;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.chosen-container *{-webkit-box-sizing:border-box;box-sizing:border-box}.chosen-container .chosen-drop{position:absolute;top:100%;z-index:1010;width:100%;border:1px solid #aaa;border-top:0;background:#fff;-webkit-box-shadow:0 4px 5px rgba(0,0,0,.15);clip:rect(0,0,0,0);-webkit-clip-path:inset(100% 100%);clip-path:inset(100% 100%)}.chosen-container a{cursor:pointer}.chosen-container-single .chosen-single{position:relative;display:block;overflow:hidden;border:1px solid #aaa;background:-webkit-gradient(linear,left top,left bottom,color-stop(20%,#fff),color-stop(50%,#f6f6f6),color-stop(52%,#eee),to(#f4f4f4));background:linear-gradient(#fff 20%,#f6f6f6 50%,#eee 52%,#f4f4f4 100%);background-clip:padding-box;-webkit-box-shadow:0 0 3px #fff inset,0 1px 1px rgba(0,0,0,.1);color:#444;text-decoration:none;white-space:nowrap}.chosen-container-single .chosen-single span{display:block;overflow:hidden;margin-right:26px;text-overflow:ellipsis;white-space:nowrap}.chosen-container-single .chosen-single div{position:absolute;top:0;right:0;display:block;width:18px;height:100%}.chosen-container-single .chosen-single div b{display:block;width:100%;height:100%}.chosen-container-single .chosen-search{position:relative;z-index:1010;margin:0;padding:3px 4px;white-space:nowrap}.chosen-container-single .chosen-search input[type=text]{margin:1px 0;width:100%;height:auto;outline:0;border:1px solid #aaa;font-size:1em;font-family:sans-serif;border-radius:0}.chosen-container-single .chosen-drop{margin-top:-1px;background-clip:padding-box}.chosen-container .chosen-results{color:#444;position:relative;overflow-x:hidden;overflow-y:auto;margin:0 4px 4px 0;padding:0 0 0 4px;max-height:240px;-webkit-overflow-scrolling:touch}@media only screen and (-webkit-min-device-pixel-ratio:1.5),only screen and (min-resolution:144dpi),only screen and (min-resolution:1.5dppx){.chosen-container-single .chosen-search input[type=text],.chosen-container-single .chosen-single div 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<meta name=title content="Weed Management in Dry Direct-Seeded Rice: A Review on Challenges and Opportunities for Sustainable Rice Production">
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<meta name=description content="Rice cultivation always remains significant for food and livelihood security. The predictions of increasing water deficiency under a changing climate and escalating labor shortages in agriculture have brought a paradigm swing in rice cultivation from conventionally flooded transplanting to direct-seeded rice (DSR). DSR cultivation can potentially address the concerns of diminishing natural resources and mounting production costs in the establishment of transplanted rice. The transition towards DSR saves water, reduces duration to maturity as well as labor required, and reduces negative environmental footprints. Despite all these recompenses, the potential yield losses through enormous weed menaces under DSR remains a challenge and may reduce yield by up to 50%. In this review, we examine the extent of weed infestation, weed shift and the losses in dry DSR (DDSR). Various regional and global scientific efforts made under DDSR have been assessed in the present and the smart weed-management strategies suggested can be adopted after scrutiny. Integration of different weed management approaches, namely prevention, cultural, mechanical, and chemical, have been discussed, which can pave the way for worldwide adoption of DDSR, especially in South Asia. In Asia, 22% of the acreage of total rice cultivation is under DSR and the region-specific integration of these weed-management approaches might reduce herbicide use in these areas by up to 50%.">
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<meta name=dc.title content="Weed Management in Dry Direct-Seeded Rice: A Review on Challenges and Opportunities for Sustainable Rice Production">
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<meta name=dc.creator content="Kapila Shekhawat">
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<meta name=dc.creator content="Sanjay Singh Rathore">
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<meta name=dc.creator content="Bhagirath S. Chauhan">
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<meta name=dc.type content=Review>
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<meta name=dc.source content="Agronomy 2020, Vol. 10, Page 1264">
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<meta name=dc.date content=2020-08-26>
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<meta name=dc.identifier content=10.3390/agronomy10091264>
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<meta name=dc.description content="Rice cultivation always remains significant for food and livelihood security. The predictions of increasing water deficiency under a changing climate and escalating labor shortages in agriculture have brought a paradigm swing in rice cultivation from conventionally flooded transplanting to direct-seeded rice (DSR). DSR cultivation can potentially address the concerns of diminishing natural resources and mounting production costs in the establishment of transplanted rice. The transition towards DSR saves water, reduces duration to maturity as well as labor required, and reduces negative environmental footprints. Despite all these recompenses, the potential yield losses through enormous weed menaces under DSR remains a challenge and may reduce yield by up to 50%. In this review, we examine the extent of weed infestation, weed shift and the losses in dry DSR (DDSR). Various regional and global scientific efforts made under DDSR have been assessed in the present and the smart weed-management strategies suggested can be adopted after scrutiny. Integration of different weed management approaches, namely prevention, cultural, mechanical, and chemical, have been discussed, which can pave the way for worldwide adoption of DDSR, especially in South Asia. In Asia, 22% of the acreage of total rice cultivation is under DSR and the region-specific integration of these weed-management approaches might reduce herbicide use in these areas by up to 50%.">
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<meta name=dc.subject content="dry direct-seeded rice">
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<meta name=dc.subject content="establishment method">
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<meta name=dc.subject content="integrated weed management">
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<meta name=dc.subject content="herbicide-tolerant rice">
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<meta name=dc.subject content="weed menace">
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<meta name=dc.subject content="weedy rice">
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<meta name=prism.issn content=2073-4395>
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<meta name=citation_title content="Weed Management in Dry Direct-Seeded Rice: A Review on Challenges and Opportunities for Sustainable Rice Production">
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<meta name=citation_author content="Shekhawat, Kapila">
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<meta property=og:title content="Weed Management in Dry Direct-Seeded Rice: A Review on Challenges and Opportunities for Sustainable Rice Production">
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<meta property=og:description content="Rice cultivation always remains significant for food and livelihood security. The predictions of increasing water deficiency under a changing climate and escalating labor shortages in agriculture have brought a paradigm swing in rice cultivation from conventionally flooded transplanting to direct-seeded rice (DSR). DSR cultivation can potentially address the concerns of diminishing natural resources and mounting production costs in the establishment of transplanted rice. The transition towards DSR saves water, reduces duration to maturity as well as labor required, and reduces negative environmental footprints. Despite all these recompenses, the potential yield losses through enormous weed menaces under DSR remains a challenge and may reduce yield by up to 50%. In this review, we examine the extent of weed infestation, weed shift and the losses in dry DSR (DDSR). Various regional and global scientific efforts made under DDSR have been assessed in the present and the smart weed-management strategies suggested can be adopted after scrutiny. Integration of different weed management approaches, namely prevention, cultural, mechanical, and chemical, have been discussed, which can pave the way for worldwide adoption of DDSR, especially in South Asia. In Asia, 22% of the acreage of total rice cultivation is under DSR and the region-specific integration of these weed-management approaches might reduce herbicide use in these areas by up to 50%.">
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" width=64 height=64 style=border:0;margin:0;max-width:none>
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</a></span><span data-moz-translations-id=3>Altmétrica</span></span>
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||
<a href=# class=UA_ShareButton data-reveal-id=main-share-modal title=Share data-moz-translations-id=4><i class=material-icons data-moz-translations-id=5>parte de las acciones</i>
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<span data-moz-translations-id=6>Comparte</span></a>
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<a href=# data-reveal-id=main-help-modal title=Help data-moz-translations-id=7><i class=material-icons data-moz-translations-id=8>anuncio</i>
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<span data-moz-translations-id=9>Ayuda</span></a>
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<a data-reveal-id=cite-modal data-moz-translations-id=10><i class=material-icons data-moz-translations-id=11>format.quote</i>
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<span data-moz-translations-id=12>Cite</span></a>
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||
<a href=https://sciprofiles.com/discussion-groups/public/10.3390/agronomy10091264 target=_blank rel="noopener noreferrer" title="Discuss in Sciprofiles" data-moz-translations-id=13><i class=material-icons data-moz-translations-id=14>pregunta-respuesta</i>
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<span data-moz-translations-id=15>Discutir en SciProfiles</span></a>
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<a href=# data-hypothesis-trigger-endorses-tab title=Endorse data-moz-translations-id=16><i data-hypothesis-endorse-trigger class=material-icons data-moz-translations-id=17>pulgar.up</i>
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<div data-hypothesis-endorsement-count data-hypothesis-trigger-endorses-tab class="hypothesis-count-container sf-hidden" data-moz-translations-id=18 style=pointer-events:all>...</div>
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<span data-moz-translations-id=19>Enviado</span></a>
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<a href=# data-hypothesis-trigger class="js-hypothesis-open UI_ArticleAnnotationsButton" title=Comment data-moz-translations-id=20><i class=material-icons data-moz-translations-id=21>textos de texto</i>
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<div data-hypothesis-annotation-count class="hypothesis-count-container sf-hidden" data-moz-translations-id=22>...</div>
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<span data-moz-translations-id=23>Comentarios</span></a>
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</div>
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<div id=main-help-modal class="reveal-modal reveal-modal-new sf-hidden" data-reveal aria-labelledby=modalTitle aria-hidden=true role=dialog>
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</div>
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</div>
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<div class=middle-column__main>
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<div class=page-highlight>
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<div id=jmolModal class="reveal-modal sf-hidden" data-reveal aria-labelledby=Captcha aria-hidden=true role=dialog>
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</div>
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<div itemscope itemtype=http://schema.org/ScholarlyArticle id=abstract class=abstract_div>
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<div class=js-check-update-container></div>
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<div class="html-content__container content__container content__container__combined-for-large__first bright" style=overflow:auto;position:inherit>
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<div class="html-profile-nav bright affix-top" style=width:804px>
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<div class="top-bar bright">
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<div class="nav-sidebar-btn show-for-large-up" data-status=opened><i class=material-icons data-moz-translations-id=0>primera. página</i></div>
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<div class=nav-btn><i class=material-icons data-moz-translations-id=0>configuración</i></div>
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<a href=https://www.mdpi.com/2073-4395/10/9/1264/reprints id=js-button-reprints class="button button--color-inversed">Orden Artículo Reimpresas</a>
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</div>
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<div class="html-article-menu sf-hidden">
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</div>
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</div>
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<article style=line-height:1.5em;font-size:110%;font-family:Arial,Arial,Helvetica,sans-serif class=bright><div class=html-article-content>
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||
<span itemprop=publisher content="Multidisciplinary Digital Publishing Institute"></span><span itemprop=url content=https://www.mdpi.com/2073-4395/10/9/1264></span>
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<div class=article-icons><span class="label openaccess" data-dropdown=drop-article-label-openaccess aria-expanded=false data-moz-translations-id=0>Revisión de acceso abierto</span><span class="label articletype" data-moz-translations-id=1>Review</span></div>
|
||
<h1 class="title hypothesis_container" itemprop=name>Gestión de la mosca en arroz semilla directa seca: una revisión sobre los desafíos y oportunidades para la producción de arroz sostenible</h1>
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||
<div class="art-authors hypothesis_container">por
|
||
<span class=inlineblock data-moz-translations-id=0><div class=sciprofiles-link style=display:inline-block data-moz-translations-id=1><a class=author-card-drop data-dropdown=author-card-drop3330474 data-options="is_hover:true, hover_timeout:5000" href="https://sciprofiles.com/profile/author/b1gzYm1SZTE2MGZoS3JKaUo5d1h0Y0hyZUFRdzRLRzFsT2lybFphL3FsYz0=" target=_blank rel="noopener noreferrer" data-moz-translations-id=2><img class=sciprofiles-link__image src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="160" height="160"><rect fill-opacity="0"/></svg>' style="width:auto;height:16px;border-radius:50%;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-30)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" data-moz-translations-id=3><span class=sciprofiles-link__name data-moz-translations-id=4>Kapila Shekhawat</span></a></div><div id=author-card-drop3330474 data-dropdown-content class="f-dropdown content author-card-content sf-hidden" aria-hidden=true tabindex=-1 data-moz-translations-id=5>
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||
</div>
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||
<sup data-moz-translations-id=15> 1</sup><span style=display:inline;margin-left:5px data-moz-translations-id=16></span><a class="toEncode emailCaptcha" data-author-id=3330474 href=mailto:please_login data-moz-translations-id=17><sup data-moz-translations-id=18><i class="fa fa-envelope-o" data-moz-translations-id=19></i></sup></a>1,</span> <span class=inlineblock data-moz-translations-id=20><div class=sciprofiles-link style=display:inline-block data-moz-translations-id=21><a class=author-card-drop data-dropdown=author-card-drop3330475 data-options="is_hover:true, hover_timeout:5000" href=https://sciprofiles.com/profile/817015 target=_blank rel="noopener noreferrer" data-moz-translations-id=22><img class=sciprofiles-link__image src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="160" height="160"><rect fill-opacity="0"/></svg>' style="width:auto;height:16px;border-radius:50%;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-30)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" data-moz-translations-id=23><span class=sciprofiles-link__name data-moz-translations-id=24>Sanjay Singh Rathore</span></a></div><div id=author-card-drop3330475 data-dropdown-content class="f-dropdown content author-card-content sf-hidden" aria-hidden=true tabindex=-1 data-moz-translations-id=25>
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||
</div>
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<sup data-moz-translations-id=35>1</sup> <a class="toEncode emailCaptcha" data-author-id=3330475 href=mailto:please_login data-moz-translations-id=37><sup data-moz-translations-id=38><i class="fa fa-envelope-o" data-moz-translations-id=39></i></sup></a><a href=https://orcid.org/0000-0001-6725-1478 target=_blank rel="noopener noreferrer" data-moz-translations-id=40><img src="data:image/png;base64,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" title=ORCID style=position:relative;width:13px;margin-left:3px;max-width:13px!important;height:auto;top:-5px data-moz-translations-id=41></a>y</span> </div>
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<div class=affiliation-item><sup data-moz-translations-id=0>1</sup></div>
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<div class=affiliation-name>ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India</div>
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<div class=affiliation-name>Queensland Alliance for Agriculture and Food Innovation (QAAFI) and School of Agriculture and Food Sciences (SAFS), The University of Queensland, Gatton, QLD 4343, Australia</div>
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<div class=bib-identity style=margin-bottom:10px><em data-moz-translations-id=0>Agronomía</em> <b data-moz-translations-id=1>2020</b>, <em data-moz-translations-id=2>10</em>(9). 1264; <a href=https://doi.org/10.3390/agronomy10091264 data-moz-translations-id=3>https://doi.org/10.3390/agronomy10091264</a></div>
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<div class=pubhistory style=font-weight:bold;padding-bottom:10px><span style=display:inline-block data-moz-translations-id=0>Recibido: 19 de julio de 2020</span>
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<span style=display:inline-block data-moz-translations-id=1>Revisado: 20 de agosto de 2020</span>
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<span style=display:inline-block data-moz-translations-id=2>Aceptado: 21 de agosto de 2020</span>
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<span style=display:inline-block data-moz-translations-id=3>Publicado: 26 de agosto de 2020</span></div>
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<div class=belongsTo style=margin-bottom:10px>(Este artículo pertenece a la <a href=https://www.mdpi.com/journal/agronomy/special_issues/Rice_Weeds data-moz-translations-id=0>Biología</a> de la Edición Especial <a href=https://www.mdpi.com/journal/agronomy/special_issues/Rice_Weeds data-moz-translations-id=0>y la Gestión Integrada de las Sudadas de Ariza</a>)<br data-moz-translations-id=1></div>
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<p>The extent of yield losses due to weeds in major dry direct-seeded rice (DDSR) growing ecologies of the world (Source: [<a href="#B14-agronomy-10-01264" class="html-bibr">14</a>]).</p>
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<p>Integration of different management approaches for effective weed control in DDSR (Source: [<a href="#B53-agronomy-10-01264" class="html-bibr">53</a>]). BMPs: best management practices.</p>
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<a class="button button--color-inversed" href=https://www.mdpi.com/2073-4395/10/9/1264/notes>Versiones Notas</a>
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<div class=html-p>Rice cultivation always remains significant for food and livelihood security. The predictions of increasing water deficiency under a changing climate and escalating labor shortages in agriculture have brought a paradigm swing in rice cultivation from conventionally flooded transplanting to direct-seeded rice (DSR). DSR cultivation can potentially address the concerns of diminishing natural resources and mounting production costs in the establishment of transplanted rice. The transition towards DSR saves water, reduces duration to maturity as well as labor required, and reduces negative environmental footprints. Despite all these recompenses, the potential yield losses through enormous weed menaces under DSR remains a challenge and may reduce yield by up to 50%. In this review, we examine the extent of weed infestation, weed shift and the losses in dry DSR (DDSR). Various regional and global scientific efforts made under DDSR have been assessed in the present and the smart weed-management strategies suggested can be adopted after scrutiny. Integration of different weed management approaches, namely prevention, cultural, mechanical, and chemical, have been discussed, which can pave the way for worldwide adoption of DDSR, especially in South Asia. In Asia, 22% of the acreage of total rice cultivation is under DSR and the region-specific integration of these weed-management approaches might reduce herbicide use in these areas by up to 50%.</div>
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<div class=html-gwd-group><div id=html-keywords-title data-moz-translations-id=0>Keywords: </div><a href="https://www.mdpi.com/search?q=dry+direct-seeded+rice" data-moz-translations-id=1>dry direct-seeded rice</a>; <a href="https://www.mdpi.com/search?q=establishment+method" data-moz-translations-id=2>establishment method</a>; <a href="https://www.mdpi.com/search?q=integrated+weed+management" data-moz-translations-id=3>integrated weed management</a>; <a href="https://www.mdpi.com/search?q=herbicide-tolerant+rice" data-moz-translations-id=4>herbicide-tolerant rice</a>; <a href="https://www.mdpi.com/search?q=weed+menace" data-moz-translations-id=5>weed menace</a>; <a href="https://www.mdpi.com/search?q=weedy+rice" data-moz-translations-id=6>weedy rice</a></div>
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<section id=sec1-agronomy-10-01264 type=intro><h2 data-nested=1 style=font-family:Arial,Arial,Helvetica,sans-serif> 1. Introduction</h2><div class=html-p>Rice (<span class=html-italic data-moz-translations-id=0>Oryza sativa</span> L.) is a primary food crop grown widely over 161 million hectares in more than 100 countries of the world [<a href=#B1-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>1</a>]. Almost 90% of the world’s rice is produced and consumed in Asia to provide up to three-fourths of the total calories required by 520 million Asians [<a href=#B2-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>2</a>]. A whopping 26% and 50% increase is demanded in global rice production to meet the requirements of the burgeoning population by 2035 and 2050, respectively [<a href=#B3-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>3</a>]. China and India share 28% and 22% of the total global rice production, respectively. Several constraints involved with transplanted puddled rice (TPR), namely a huge water demand (1000–2000 mm) for puddling and maintaining continuous flooding [<a href=#B4-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>4</a>]; a huge energy requirement ranging between 5630–8448 MJ ha<sup data-moz-translations-id=5>−1</sup> [<a href=#B5-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>5</a>] and almost 15–20% higher labor inputs [<a href=#B6-agronomy-10-01264 class=html-bibr title data-moz-translations-id=7>6</a>] over direct-seeded rice (DSR), have made it unaffordable for many farmers, especially for small and marginal farmers in Southeast Asia [<a href=#B7-agronomy-10-01264 class=html-bibr title data-moz-translations-id=8>7</a>].</div><div class=html-p>Furthermore, repeated plowing for puddling breaks capillary pores, disperses clay particles, and destroys aggregate stability in the topsoil, resulting in a hardpan creation at the shallow depth [<a href=#B8-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>8</a>]. Dry direct-seeded rice (DDSR) is an impending version of upland rice cultivation practiced widely to save water, labor and energy over TPR. The rice crop is established by sowing the seeds directly in the non-puddled and non-saturated soil [<a href=#B9-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>9</a>]. DDSR can be adopted both as upland rice and aerobic rice [<a href=#B10-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>10</a>]. The advantages offered by DDSR, namely rapid planting, easy mechanization, less labor and water requirement, and early maturity with fewer environmental footprints have brought almost 22% of the total rice area in Asia under DSR [<a href=#B11-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>11</a>,<a href=#B12-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>12</a>]. In fact, DDSR is one of the oldest methods of rice establishment and before the 1950s it was very popular but was gradually replaced by TPR [<a href=#B13-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>13</a>]. The traditional rain-fed systems of rice cultivation instinctively fall under DSR [<a href=#B14-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>14</a>]. However, the non-conventional areas of rice cultivation like the trans-Indo Gangetic Plains (IGP) of India have also reported yield enhancement and water-saving under DDSR [<a href=#B15-agronomy-10-01264 class=html-bibr title data-moz-translations-id=7>15</a>] followed by yield increment in the subsequent wheat crop also under the rice-wheat system [<a href=#B16-agronomy-10-01264 class=html-bibr title data-moz-translations-id=8>16</a>].</div><div class=html-p>Variable yield response and water productivity in DDSR has been reported by numerous researchers worldwide depending on location and the type of agronomic management adopted. The rice productivity over 7 t ha<sup data-moz-translations-id=0>−1</sup> under DDSR with good agronomic management was reported by International Rice Research Institute (IRRI)back in the early 1970s in the Philippines and Peru [<a href=#B17-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>17</a>,<a href=#B18-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>18</a>] and then from 8.4 t ha<sup data-moz-translations-id=3>−1</sup> to even 10.3 t ha<sup data-moz-translations-id=4>−1</sup> across the world [<a href=#B19-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>19</a>,<a href=#B20-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>20</a>].</div><div class=html-p>Despite these recompenses, the major snag with practicing DDSR is the potential biotic threat posed by weeds. The yield losses under DDSR are estimated as high as 75%, which exhausts more than 30% of the total cost incurred in rice cultivation [<a href=#B14-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>14</a>]. The concurrent crop and weed growth and the absence of standing water in the initial crop establishment phase aggravate weed insurgence in DDSR [<a href=#B21-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>21</a>]. Under these systems, weeds could be managed by hand weeding (manual means), through herbicides or by a combination of both. However, chemical weed management is replacing manual weeding due to meagre labor availability, escalating labor costs and drudgery involved. The newer low dose high-efficacy herbicides are convenient and have made DDSR viable, especially with high-yielding short-duration varieties [<a href=#B22-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>22</a>]. However, there has been grave apprehension about the solitary use of herbicides in the recent past due to the development of resistance in weeds, changes in the weed density and composition, and the emerging negative environmental footprints. Amidst these concerns, adoption of any single approach remains both insufficient and ineffective for sustainable weed management in DDSR and the present review emphasizes integrated weed management practices for DDSR. We have also attempted to identify opportunities for the plausible integration of region-specific weed management in an economic and effective way to reap the benefits offered by DSR.</div></section><section id=sec2-agronomy-10-01264 type><h2 data-nested=1 style=font-family:Arial,Arial,Helvetica,sans-serif> 2. Dry Direct-Seeded Rice (DDSR) Establishment Methods</h2><div class=html-p>Globally, out of the total 161 M ha under paddy cultivation, DSR is being practiced on about 33 M ha area [<a href=#B23-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>23</a>]. DDSR could be practiced in rain-fed upland, lowland, and also flood-prone areas [<a href=#B24-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>24</a>]. Different methods of sowing under DDSR include broadcasting of dry seeds directly, either after field preparation (conventional tillage, CT) or zero tillage (ZT), and mixed thereafter with a harrow; dibbling of sprouted seeds after seedbed preparation, especially in hilly terrain or line sowing at the rate of 70–80 kg ha<sup data-moz-translations-id=2>−1</sup> through a seed-cum-fertilizer seed drill after ZT, CT, reduced tillage or on raised beds [<a href=#B25-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>25</a>]. DDSR in most Asian countries is kept aerobic through alternate wetting and drying under rain-fed upland ecosystems in place of continuous submergence or saturation. Under double DSR, cycling dry and wet tillage is also practiced in Asia [<a href=#B26-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>26</a>]; however, exclusive DDSR is practiced in the United States, Latin America, Australia, West Africa and Europe [<a href=#B27-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>27</a>].</div></section><section id=sec3-agronomy-10-01264 type><h2 data-nested=1 style=font-family:Arial,Arial,Helvetica,sans-serif> 3. Weed Menace in DDSR</h2><div class=html-p>The aerobic soil environment in DDSR saves water, but with the absence of stagnating water and the lack of a ‘head start’ in rice seedlings over germinating weed seedlings; the weed menace in DSR is aggravated. The critical period of weed competition in DDSR remains up to 41 days after sowing (DAS), yet a weed-free situation until 70 DAS remains desirable for higher productivity [<a href=#B28-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>28</a>]. Weeds, when not controlled during this period, may reduce yields from 15–100% [<a href=#B29-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>29</a>]. The intense competition for water, nutrients and solar radiation posed by weeds reduces yield and grain quality. Poor weed control is the second major yield barrier after an inadequate water supply in DDSR worldwide, the range of maximum and minimum yield losses, however, differ under varying ecologies as illustrated in <a href=#fig_body_display_agronomy-10-01264-f001 class="html-fig html-figpopup" data-moz-translations-id=2>Figure 1</a>. The yield losses remain higher under DDSR over TPR. An approximate 35% yield loss has been reported in TPR [<a href=#B30-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>30</a>], however, under DDSR it may reach as high as 100% [<a href=#B14-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>14</a>]. Out of the total 40% yield loss in rice caused by various pests, weeds create nearly 10% of the yield loss, which under DSR may go up to 32%. Thus, weed management shares a very high relative importance, ranking among different agronomic management options for higher productivity in DDSR [<a href=#B31-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>31</a>].</div><div class=html-fig-wrap id=agronomy-10-01264-f001>
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>
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<a class="html-expand html-figpopup" href=#fig_body_display_agronomy-10-01264-f001></a>
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<div class=html-fig_description>
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<b data-moz-translations-id=0>Figure 1.</b>
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The extent of yield losses due to weeds in major dry direct-seeded rice (DDSR) growing ecologies of the world (Source: [<a href=#B14-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>14</a>]).
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</div></section><section id=sec4-agronomy-10-01264 type><h2 data-nested=1 style=font-family:Arial,Arial,Helvetica,sans-serif> 4. Weedy Rice Peril in DDSR</h2><div class=html-p>The pernicious weed, weedy (red) rice (<span class=html-italic data-moz-translations-id=0>O. sativa</span> f. <span class=html-italic data-moz-translations-id=1>spontanea</span>) has occupied the status of pest species on the transition from TPR to DSR in many Asian countries and almost all rice cultivating ecologies of America and Africa [<a href=#B32-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>32</a>]. Yield losses of up to 50% in DDSR due to weedy rice has been reported in Portugal and Spain [<a href=#B33-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>33</a>]. Its infestation in major rice-growing countries causing quantitative and qualitative losses to rice production has been widely reported by several researchers in India, China, Sri Lanka and Korea [<a href=#B34-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>34</a>], Thailand and Malaysia [<a href=#B35-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>35</a>], and the Philippines [<a href=#B36-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>36</a>]. Weedy rice has been a major constraint for more than five decades in Europe and the Mediterranean region [<a href=#B37-agronomy-10-01264 class=html-bibr title data-moz-translations-id=7>37</a>].</div><div class=html-p>The phylogenetic and evolutionary similarities, a congeneric relationship of weedy rice with cultivated rice, prolific seed production capacity, prolonged seed dormancy, high vigor, and aggressiveness have made weedy rice a voracious competitor in cultivated areas [<a href=#B38-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>38</a>]. Seed dormancy for more than 10 years in soil under adverse conditions and the capability to produce high biomass along with high tillering potential and tall stature once germinated are special adaptations in weedy rice [<a href=#B39-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>39</a>]. Weedy rice is capable of nutrient exhaustion from the rhizosphere due to its fine and long roots [<a href=#B40-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>40</a>].</div></section><section id=sec5-agronomy-10-01264 type><h2 data-nested=1 style=font-family:Arial,Arial,Helvetica,sans-serif> 5. DDSR Adoption and Weed Shift</h2><div class=html-p>Initially, the weed composition in DSR may remain similar to that in TPR, but over time a noteworthy shift in the weed flora towards greater species-rich vegetation, especially grassy weeds, has been reported [<a href=#B15-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>15</a>]. Generally, the weed species diversity in DDSR fields remains greater than TPR [<a href=#B41-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>41</a>]. In a long-term study, total weed species, genera and families infested were 21, 18 and 13, respectively, under TPR; however, under DDSR, 50 weed species and 18 genera belonging to 22 different families were observed [<a href=#B42-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>42</a>]. Alterations in agronomic management, mainly for crop establishment and irrigation under DDSR, alter the weed demographic composition and diversity. A more diverse and difficult to control grassy weed flora is seen in DDSR than in CT-TPR [<a href=#B41-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>41</a>]. Southeast Asian regions, in particular, have rich weed species ecologies due to a more conducive climate for the emergence of diverse weed flora [<a href=#B14-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>14</a>]. A shift in the rice establishment method almost doubled the diversity index of weed flora in Korea [<a href=#B43-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>43</a>]. A 2.5 and 4.75 times increase in the number of grassy and broadleaved weed species, respectively, was recorded from India [<a href=#B43-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>43</a>]. The alteration in weed seed bank build up under DDSR depends upon the micro-environment attributed to the sowing method, i.e., with or without tillage. Tillage has an impact on weed seed distribution in soil profiles; however, under ZT, the seed prevalence, germination and emergence are from the upper soil profile only [<a href=#B44-agronomy-10-01264 class=html-bibr title data-moz-translations-id=7>44</a>].</div><div class=html-p>In Southeast Asia, a weed flora shift in DDSR has been reported towards more aggressive competitive grasses and sedges. In long-term field studies with DSR, initially the presence of weedy rice and <span class=html-italic data-moz-translations-id=0>Leptochloa chinensis</span> (L.) Nees. remained very meagre but they appeared after only 2 and 4 years, respectively. Broadleaf weeds remained dominant initially under DSR, but after a decade of DSR cultivation, grassy weeds like <span class=html-italic data-moz-translations-id=1>Echinochloa crus</span>-<span class=html-italic data-moz-translations-id=2>galli</span> (L.) P. Beauv, <span class=html-italic data-moz-translations-id=3>L. chinensis</span> and <span class=html-italic data-moz-translations-id=4>Ischaemum rugosum</span> Salisb. became dominant in Malaysia [<a href=#B34-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>34</a>] and Vietnam [<a href=#B45-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>45</a>]. The most dominant grassy weed under DDSR was <span class=html-italic data-moz-translations-id=7>E. crus</span>-<span class=html-italic data-moz-translations-id=8>galli</span>, and the four most dominant sedges were <span class=html-italic data-moz-translations-id=9>Fimbristylis miliacea</span> (L.) Vahl, <span class=html-italic data-moz-translations-id=10>Cyperus rotundus</span> L., <span class=html-italic data-moz-translations-id=11>Cyperus iria</span> L. and <span class=html-italic data-moz-translations-id=12>Cyperus difformis</span> L. in the Indian subcontinent [<a href=#B46-agronomy-10-01264 class=html-bibr title data-moz-translations-id=13>46</a>].</div></section><section id=sec6-agronomy-10-01264 type><h2 data-nested=1 style=font-family:Arial,Arial,Helvetica,sans-serif> 6. Weed-Management Options</h2><div class=html-p>The contemporaneous crop and weed growth and absence of stagnant water aggravate weed menaces under DDSR [<a href=#B47-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>47</a>]. An over-reliance on chemical weed management for abundant and diverse weed flora belonging to different taxonomic classes under DDSR will be catastrophic. Use of a single herbicide for weed control targeting a single weed species like weedy rice in DDSR results in a buildup of herbicide resistance in weeds [<a href=#B48-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>48</a>]. To avoid yield losses, the threshold for weed density in rice is 1–3 weeds m<sup data-moz-translations-id=2>−2</sup> [<a href=#B49-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>49</a>]. Such effective weed management can never be achieved with a single approach and hence integrated weed management (IWM) aiming at the combination of at least two components remains desirable under DDSR [<a href=#B50-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>50</a>].</div><div class=html-p>An effective IWM strategy using weed biology in the management system protects crops from weed competition and may even suppress weeds [<a href=#B51-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>51</a>]. The fundamental components of IWM include preventive, mechanical, cultural, chemical and biological control methods [<a href=#B52-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>52</a>]. Various approaches of IWM involve good agronomic practices, namely stale seedbed practices, selection of cropping systems, crop rotation, use of competitive cultivars, and herbicide rotation. These practices are necessary for responding to weed shifts under DSR as illustrated in <a href=#fig_body_display_agronomy-10-01264-f002 class="html-fig html-figpopup" data-moz-translations-id=2>Figure 2</a>.</div><div class=html-fig-wrap id=agronomy-10-01264-f002>
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">
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<a class="html-expand html-figpopup" href=#fig_body_display_agronomy-10-01264-f002></a>
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</div>
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</div>
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<div class=html-fig_description>
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<b data-moz-translations-id=0>Figure 2.</b>
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Integration of different management approaches for effective weed control in DDSR (Source: [<a href=#B53-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>53</a>]). BMPs: best management practices.
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</div><section id=sec6dot1-agronomy-10-01264 type><h4 class=html-italic data-nested=2 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.1. Preventive Methods of Weed Management</h4><section id=sec6dot1dot1-agronomy-10-01264 type><h4 data-nested=3 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.1.1. Prevention of Weed Seed Dispersal</h4><div class=html-p>Preventive weed-management practices aim more at minimizing weed seed banks and check the entry of new weeds in crop fields to prevent further infestation. Faulty agronomic practices often permit entry of new weed seeds in crop fields, leading to a buildup of huge weed seed banks in the soils. Preventive measures compliment curative tactics like the use of herbicides by restricting weed dispersal and preventing weed seed bank build up. The key weed species of rice are often dispersed through natural means (animal, human, mechanical, etc.). The zero weed seed rain approach is more economic and feasible than control strategies [<a href=#B54-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>54</a>]. Prolific seed production, dormancy found in weed seeds and variable maturity periods make crop-weed competition more serious. For instance, a common rice weed <span class=html-italic data-moz-translations-id=1>Caesulia axillaris</span> Roxb. is capable of producing mature seeds even after the removal of the crop. The existing weed seed banks exhaust due to preventive methods by induced predation, fatal germination and decay due to tillage and submergence [<a href=#B55-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>55</a>].</div></section><section id=sec6dot1dot2-agronomy-10-01264 type><h4 data-nested=3 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.1.2. Prevention of Crop Seed Contamination with Weed Seeds</h4><div class=html-p>The most vital and practical preventative measure for reducing the weed intensity in DDSR remains the use of clean and weed-seed free crop seeds. Many weeds like <span class=html-italic data-moz-translations-id=0>E. colona</span> mature simultaneously with rice and often get mixed while harvesting and threshing [<a href=#B56-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>56</a>]. The contaminated weed seeds will also spread herbicide resistance [<a href=#B57-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>57</a>], besides introducing new species. An important rice weed, <span class=html-italic data-moz-translations-id=3>L. chinensis</span> has reportedly been introduced in northern Italy through contaminated seeds [<a href=#B58-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>58</a>]. The prevention of weed seed contamination in DSR becomes more important than in TPR as a higher seeding rate is used per unit of area under DSR.</div></section></section><section id=sec6dot2-agronomy-10-01264 type><h4 class=html-italic data-nested=2 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.2. Cultural Weed Management</h4><section id=sec6dot2dot1-agronomy-10-01264 type><h4 data-nested=3 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.2.1. Stale Seedbed</h4><div class=html-p>Stale seedbed (SSB) is a cultural method of weed management commonly practiced with tillage, but under ZT-DDSR the emerged weed seedlings are destroyed with an application of a nonselective post-emergence herbicide, either paraquat [<a href=#B59-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>59</a>] or glyphosate [<a href=#B60-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>60</a>]. The majority of the weed seeds remain on or close to the soil surface under DDSR, thus resulting in a higher germination percentage when induced via. irrigation [<a href=#B61-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>61</a>].</div><div class=html-p>SSB is a very effective weed management practice against weedy rice [<a href=#B62-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>62</a>] and reduces up to 53% of weedy rice over the control [<a href=#B63-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>63</a>]. A significant reduction of 25–30% in the viable seed bank of <span class=html-italic data-moz-translations-id=2>E. colona</span> and <span class=html-italic data-moz-translations-id=3>Dactyloctenium aegyptium</span> L. (Willd) [<a href=#B59-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>59</a>], and 13–33% reductions in the overall seed bank after rice harvest have been recorded [<a href=#B64-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>64</a>]. Likewise, in one year, a 2- and 1.6-fold increase in <span class=html-italic data-moz-translations-id=6>C. rotundus</span> density was recorded due to SSB with glyphosate over SSB with tillage [<a href=#B64-agronomy-10-01264 class=html-bibr title data-moz-translations-id=7>64</a>]. Thus, killing weeds with herbicides also reduces labor input by 30–60% [<a href=#B65-agronomy-10-01264 class=html-bibr title data-moz-translations-id=8>65</a>]. Weed species, such as <span class=html-italic data-moz-translations-id=9>Digitaria ciliaris</span> (Retz.) Koel., <span class=html-italic data-moz-translations-id=10>L. chinensis</span> and <span class=html-italic data-moz-translations-id=11>Eclipta prostrata</span> (L.) L., have small seeds which are often present in the upper soil layer. Low dormancy in seeds enables quick germination after irrigation and exposure to sunlight [<a href=#B66-agronomy-10-01264 class=html-bibr title data-moz-translations-id=12>66</a>]. SSB is also effective against weeds like <span class=html-italic data-moz-translations-id=13>Eclipta prostrata</span>, <span class=html-italic data-moz-translations-id=14>C. difformis</span>, <span class=html-italic data-moz-translations-id=15>F. miliacea</span>, and <span class=html-italic data-moz-translations-id=16>Euphorbia hirta</span> L., but species like <span class=html-italic data-moz-translations-id=17>Amaranthus spinosus</span> L., <span class=html-italic data-moz-translations-id=18>Eleusine indica</span> (L.) Gaertn., <span class=html-italic data-moz-translations-id=19>Echinochloa colona</span> L. (Link), and <span class=html-italic data-moz-translations-id=20>I. rugosum</span> need stimulation for germination [<a href=#B67-agronomy-10-01264 class=html-bibr title data-moz-translations-id=21>67</a>]. Whereas, germination of seeds with hard seed coat like <span class=html-italic data-moz-translations-id=22>Commelina benghalensis</span> L., <span class=html-italic data-moz-translations-id=23>Cyperus diffusa</span>, <span class=html-italic data-moz-translations-id=24>Corchorus olitorius</span> L., <span class=html-italic data-moz-translations-id=25>Mimosa invisa</span> L. and <span class=html-italic data-moz-translations-id=26>Mimosa pudica</span> L. remains difficult with SSB [<a href=#B68-agronomy-10-01264 class=html-bibr title data-moz-translations-id=27>68</a>].</div><div class=html-p>The high base temperature and exposure to light on the soil surface under DDSR stimulated biochemical processes for germination in weeds such as <span class=html-italic data-moz-translations-id=0>Portulaca oleracea</span> L., <span class=html-italic data-moz-translations-id=1>Cyperus iria</span>, <span class=html-italic data-moz-translations-id=2>F. miliacea</span>, <span class=html-italic data-moz-translations-id=3>Digitaria longifolia</span> (L.) Scop., <span class=html-italic data-moz-translations-id=4>Digiteria. Ciliaris</span> (Retz.) Koeler, <span class=html-italic data-moz-translations-id=5>Cyperus difformis</span>, <span class=html-italic data-moz-translations-id=6>L. chinensis</span>, <span class=html-italic data-moz-translations-id=7>Echinochloa colona</span>, <span class=html-italic data-moz-translations-id=8>Echinochloa crus</span>-<span class=html-italic data-moz-translations-id=9>galli</span>, <span class=html-italic data-moz-translations-id=10>Eclipta prostrata</span>, <span class=html-italic data-moz-translations-id=11>Chromolaena odorata</span> (L.) R.M. King and H. Rob., <span class=html-italic data-moz-translations-id=12>Tridax procumbens</span> L., <span class=html-italic data-moz-translations-id=13>Celosia argentea</span> L. Kuntze, and <span class=html-italic data-moz-translations-id=14>Ludwigia hyssopifolia</span> L., which can be subsequently killed by a false seedbed [<a href=#B66-agronomy-10-01264 class=html-bibr title data-moz-translations-id=15>66</a>,<a href=#B69-agronomy-10-01264 class=html-bibr title data-moz-translations-id=16>69</a>]. Practicing SSB after one and two irrigations with a successive application of herbicides reduced weed density by 44–68% and 77–85%, respectively, over a control in India [<a href=#B70-agronomy-10-01264 class=html-bibr title data-moz-translations-id=17>70</a>]. Likewise, in California, a 75%, 94% and 91% reduction in the biomass of <span class=html-italic data-moz-translations-id=18>Echinochloa</span> spp., <span class=html-italic data-moz-translations-id=19>S. mucronatus</span> (L.) J.Jung and H.K. Choi and <span class=html-italic data-moz-translations-id=20>C. difformis</span>, respectively, was recorded with SSB [<a href=#B71-agronomy-10-01264 class=html-bibr title data-moz-translations-id=21>71</a>,<a href=#B72-agronomy-10-01264 class=html-bibr title data-moz-translations-id=22>72</a>]. In DDSR, SSB followed by shallow plowing after two weeks resulted in an 80% and 40% reduction in the density and weed biomass, respectively [<a href=#B73-agronomy-10-01264 class=html-bibr title data-moz-translations-id=23>73</a>]. The weed seed bank depletion due to SSB provides a less competitive environment for rice during the initial stage [<a href=#B74-agronomy-10-01264 class=html-bibr title data-moz-translations-id=24>74</a>]. Brainard et al. (2013) [<a href=#B75-agronomy-10-01264 class=html-bibr title data-moz-translations-id=25>75</a>] have also reported a decline in the density of grassy weed and <span class=html-italic data-moz-translations-id=26>C. rotundus</span> by 42–67% and 22–51%, respectively, with SSB. The seed bank depletion of <span class=html-italic data-moz-translations-id=27>E. colona</span> and <span class=html-italic data-moz-translations-id=28>D. aegyptium</span> with SSB provides a competitive advantage to rice [<a href=#B15-agronomy-10-01264 class=html-bibr title data-moz-translations-id=29>15</a>]. The SSB practice with bispyribac-sodium as a sequential post-emergence (POST) herbicide remains desirable under double DDSR; however, a short turn around period for the sowing of a succeeding rice crop may be delayed due to SSB [<a href=#B76-agronomy-10-01264 class=html-bibr title data-moz-translations-id=30>76</a>].</div></section><section id=sec6dot2dot2-agronomy-10-01264 type><h4 data-nested=3 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.2.2. Land Preparation</h4><div class=html-p>Tillage operations may provide a competitive advantage to crops and suppress weed emergence and growth by delivering weed-free conditions at planting by uprooting and burial of weeds [<a href=#B31-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>31</a>]. Tillage may cause weed seedling mortality from the upper soil profile and induce dormancy in the buried weed seeds due to alteration in edaphic conditions, water and gaseous regimes. At the same time, tillage is also responsible for more than 85% of the total weed seed dispersal [<a href=#B77-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>77</a>] and on the contrary, the absence of tillage favors predation of weed seeds lying on the surface by insects, birds and rodents. About 78% to 91% of <span class=html-italic data-moz-translations-id=2>E. colona</span> seeds from the surface may be removed within two weeks through predation only [<a href=#B77-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>77</a>]. The frequency, depth and timing of soil manipulations govern the emerging weed flora. Weed emergence and survival often decrease with increasing soil depth. The seedbed preparation under DDSR eliminates wet tillage (puddling), includes one or two deep plowing through disc followed by a cultivator, 2–3 harrowings, breaking up big clods and land leveling [<a href=#B78-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>78</a>]. Good land preparation in DDSR followed by laser land leveling provides a weed-free seedbed, which reduces weed densities by up to 49%, saves labor for manual weeding [<a href=#B79-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>79</a>] and increases herbicide use efficiency [<a href=#B80-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>80</a>]. An improved crop establishment, higher nutrients, water and energy use efficiencies and overall farm profitability with laser land leveling have also been reported [<a href=#B81-agronomy-10-01264 class=html-bibr title data-moz-translations-id=7>81</a>].</div><div class=html-p>The lack of water stagnation under DDSR may induce dormancy in weeds like <span class=html-italic data-moz-translations-id=0>F. miliacea</span> and prohibit seed bank exhaustion in the absence of puddling. Thus, stimulating weed seed germination for weeds like <span class=html-italic data-moz-translations-id=1>F. miliacea</span> and <span class=html-italic data-moz-translations-id=2>C. difformis</span> through irrigation and subsequent killing with tillage under SSB would reduce their density [<a href=#B67-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>67</a>], while soil inversion with deep tillage inhibits the emergence of <span class=html-italic data-moz-translations-id=4>L. chinensis</span> which bury its seeds beyond 5 cm soil depth [<a href=#B58-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>58</a>].</div><div class=html-p>Alterations in tillage practices under DDSR increased the density of annual weeds like <span class=html-italic data-moz-translations-id=0>Echinochloa colona</span>, <span class=html-italic data-moz-translations-id=1>Ludwigia octovalvis</span> (Jacq) P.H. Raven, <span class=html-italic data-moz-translations-id=2>Ageratum conyzoides</span> L., <span class=html-italic data-moz-translations-id=3>Eclipta prostrata</span>, <span class=html-italic data-moz-translations-id=4>Eleusine indica</span>, <span class=html-italic data-moz-translations-id=5>Portulaca oleracea</span>, <span class=html-italic data-moz-translations-id=6>Commelina diffusa</span> (Burm).f., <span class=html-italic data-moz-translations-id=7>Ischaemum rugosum</span>, <span class=html-italic data-moz-translations-id=8>Leptochloa chinensis</span>, and <span class=html-italic data-moz-translations-id=9>Eragrostis pilosa</span> (L.) P. Beauv., and sedges like <span class=html-italic data-moz-translations-id=10>Cyperus rotundus</span> increase whereas <span class=html-italic data-moz-translations-id=11>Paspalum</span> spp. may decrease [<a href=#B82-agronomy-10-01264 class=html-bibr title data-moz-translations-id=12>82</a>,<a href=#B83-agronomy-10-01264 class=html-bibr title data-moz-translations-id=13>83</a>]. The density of some perennial weeds like <span class=html-italic data-moz-translations-id=14>Rumex crispus</span> L. and <span class=html-italic data-moz-translations-id=15>Ranunculus cantoniensis</span> L. and weed species with aerial dispersal such as <span class=html-italic data-moz-translations-id=16>Conyza sumatrensis</span> (Retz) E. Walker, <span class=html-italic data-moz-translations-id=17>Conyza canadensis</span> L., <span class=html-italic data-moz-translations-id=18>Lactuca indica</span> L., and <span class=html-italic data-moz-translations-id=19>Sonchus oleraceus</span> L. increase under ZT-DDSR [<a href=#B84-agronomy-10-01264 class=html-bibr title data-moz-translations-id=20>84</a>]. Continuous ZT in DSR systems also increases the infestation of <span class=html-italic data-moz-translations-id=21>E. colona</span> and <span class=html-italic data-moz-translations-id=22>C. iria</span>, which can be reduced with rotational tillage or alternate ZT and CT under DDSR [<a href=#B85-agronomy-10-01264 class=html-bibr title data-moz-translations-id=23>85</a>]. In general, weed seedling emergence decreases with increased depth, especially for small-seeded species.</div></section><section id=sec6dot2dot3-agronomy-10-01264 type><h4 data-nested=3 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.2.3. Enhancing Crop Competitiveness</h4><div class=html-p>Adoption of nonchemical weed-management strategies, wherein the crop is favored against weeds, such as selection of cultivars, adjusting plant geometry, seed rate and spacing, would give an initial advantage for competing against weeds [<a href=#B86-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>86</a>].</div><section id=PlantTypeandCropCultivar type><h4 data-nested=4 style=font-family:Arial,Arial,Helvetica,sans-serif> Plant Type and Crop Cultivar</h4><div class=html-p>Weed infestation in a crop field is associated with the nature of root and shoot growth of the crop plants. The weed competitiveness in cultivars can be enhanced either by inducing tolerance or enhancing weed-suppressive ability [<a href=#B87-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>87</a>]. Any rice cultivar with vigorous early growth, rapid ground cover or higher specific leaf area remains desirable for weed competitiveness [<a href=#B88-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>88</a>]. Weeds offer competition for crop growth from roots and shoots, but the rice growth is more suppressed due to root competition than shoot competition and up to 55% of the reduction in rice yield is due to root competition [<a href=#B21-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>21</a>]. Under DDSR, this competition becomes more severe due to simultaneous weed and crop root growth for weeds like <span class=html-italic data-moz-translations-id=3>Echinochloa</span> spp. [<a href=#B89-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>89</a>]. Moderately tall rice cultivars such as IR5 or IR442-2-58; Prabhat and Krishna Hamsa, under Indian IGP conditions have high seedling vigor and tillering abilities, moderately long and droopy leaves and resistance to lodging, which are suitable under DDSR [<a href=#B90-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>90</a>]. The vigorous and prolific root system development leads to a better capability of absorbing the applied nutrients and water more rapidly [<a href=#B69-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>69</a>]. Also, weeds like <span class=html-italic data-moz-translations-id=7>E. colona</span> and <span class=html-italic data-moz-translations-id=8>Ludwigia hyssopifolia</span> G. Don. are heavy competitors for solar radiation, CO<sub data-moz-translations-id=9>2</sub>, space, etc., especially under DDSR.</div><div class=html-p>Similarly, the shoot traits like quick initial growth, more biomass, and profuse and synchronous tillering will impart weed competitiveness [<a href=#B91-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>91</a>]. Cultivars with horizontal leaf configurations increase leaf area and trap more solar radiation, minimizing weed menaces under DDSR [<a href=#B92-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>92</a>].</div></section><section id=SeedPriming type><h4 data-nested=4 style=font-family:Arial,Arial,Helvetica,sans-serif> Seed Priming</h4><div class=html-p>Seed priming integrated with precise seeding technology improves the speed and synchrony of seed germination by reducing germination time and improving the overall crop performance in DDSR [<a href=#B76-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>76</a>]. Seed priming results in an increase in seed vigour by 50%, a higher seedling dry weight of 35–60% and resistance to various abiotic stresses [<a href=#B93-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>93</a>]. Hydro-priming [<a href=#B94-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>94</a>], solid matrix priming [<a href=#B95-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>95</a>], spermidine, osmo-hardening with KCl, polyethylene and polyamine pre-treatment [<a href=#B96-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>96</a>], and nutri-priming with phosphorus and boron [<a href=#B97-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>97</a>] have been found to be very beneficial.</div></section><section id=PlantPopulationDynamicsthroughCropGeometryandSeedRate type><h4 data-nested=4 style=font-family:Arial,Arial,Helvetica,sans-serif> Plant Population Dynamics through Crop Geometry and Seed Rate</h4><div class=html-p>Enhancing the seed rate in DDSR from 20 to 80 kg ha<sup data-moz-translations-id=0>−1</sup> is often useful to offer competition for weeds in various parts of Asia [<a href=#B98-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>98</a>,<a href=#B99-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>99</a>]. The rice yield increases as seed rates increase up to 150 kg ha<sup data-moz-translations-id=3>−1</sup> under DSR in Malaysia [<a href=#B100-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>100</a>], Latin America [<a href=#B101-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>101</a>] and the United States [<a href=#B39-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>39</a>]. Rice crops sown with higher seed rates also demand less herbicide. As a part of IWM programs, weed competition can be reduced by increasing plant population for better competitive ability within the crop plants. The crop competitiveness offered by narrow row spacing and higher leaf area index improves with faster canopy cover, increased light interception per unit of leaf area for crops and decreased light penetration for developing weeds [<a href=#B98-agronomy-10-01264 class=html-bibr title data-moz-translations-id=7>98</a>,<a href=#B102-agronomy-10-01264 class=html-bibr title data-moz-translations-id=8>102</a>].</div></section><section id=WaterandNutrientManagement type><h4 data-nested=4 style=font-family:Arial,Arial,Helvetica,sans-serif> Water and Nutrient Management</h4><div class=html-p>Crop establishment under DDSR is common with or without dry tillage and sowing followed by irrigation. A pre-sowing irrigation for inducing weed seed germination followed by stale seedbed, as a cultural method is often advised under DDSR to control weeds. Weed seed germination, emergence, population, growth, maturity duration and seed production are strongly influenced by water management. After early establishment, micro-irrigation, especially surface or sub-surface drip irrigation systems may help in reducing the weed menace in DDSR to a great extent. In drip-irrigated DDSR, higher grain yield and water savings (up to 42%) have been reported [<a href=#B103-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>103</a>].</div><div class=html-p>Appropriate nutrient management in crops as per the need helps to build up initial vigor in the plants against weeds. Under DDSR, with simultaneous crop-weed growth, weeds uptake nutrients faster during early growth stages and deprive the crop of nutrients. To increase the nutrient availability for crops, banding fertilizer and applications coinciding with crop demands would lower weed densities and biomass [<a href=#B104-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>104</a>]. The variable response of weeds to applied nutrients shows that fertilizers influence crop-weed interaction. The fertilizer doses and application methods can modify weed–crop competition by affecting weed demography, development and competitive ability [<a href=#B105-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>105</a>]. The timing, rate and method of fertilizer application influence weed biology and may suppress or favor the emergence of certain weeds [<a href=#B106-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>106</a>].</div><div class=html-p>A higher starter dose for initial slow-growing crops may promote weeds and reduce yields [<a href=#B107-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>107</a>]. Surface fertilizer applications favor the weed seeds lying on the surface or upper soil layer [<a href=#B108-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>108</a>]. Surface banding of nitrogen and phosphorus as a cultural weed management method often reduces weed emergence and growth in DSR over surface broadcasting [<a href=#B109-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>109</a>]. Manipulation of subsurface fertilizer placement improves growth and nutrient use-efficiency.</div></section></section></section><section id=sec6dot3-agronomy-10-01264 type><h4 class=html-italic data-nested=2 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.3. Interim Alternate Crop</h4><div class=html-p>Crops such as soybean, cotton, maize, sorghum or pastures can be taken as a break crop in traditional rice-cultivated ecologies to break the weed seed cycle where complete substitution could not be possible [<a href=#B110-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>110</a>]. Therefore, interim alternate crops, not complete substitution, have been found effective for reducing weedy rice density even up to 90% in the United States, Brazil and Uruguay [<a href=#B111-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>111</a>].</div><div class=html-p>Promoting fatal germination for weeds with limited dormancy can be utilized by inclusion of a crop like mungbean during the fallow period between rice and wheat crops. This diversification/intensification has reduced the <span class=html-italic data-moz-translations-id=0>D. aegyptium</span> in DDSR [<a href=#B112-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>112</a>]. Weeds emerge due to soil disturbance undertaken for sowing summer mungbean and repeated irrigation during cropping; and emerged seedlings can then be killed through herbicides and other inexpensive weed control methods known under mung bean [<a href=#B113-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>113</a>]. Likewise, intensification of the rice-wheat system by including cowpea, forage crops or <span class=html-italic data-moz-translations-id=3>Sesbania</span> through relay cropping of either wheat, maize or mustard in the rotation before DDSR may suppress weeds through competition, grazing and mowing without using herbicides [<a href=#B114-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>114</a>]. The summer legumes sowing in the system before DDSR should coincide with the last irrigation in winter crops (wheat, maize or mustard) to prevent delaying DDSR sowing in a narrow window under intensified systems. The legumes, after taking 1–2 pickings, can be knocked down either through cultivation or by a herbicide. This helps in meeting early N requirement, besides weed suppression in DDSR.</div></section><section id=sec6dot4-agronomy-10-01264 type><h4 class=html-italic data-nested=2 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.4. Residue Mulch</h4><div class=html-p>Crop residue retention under DDSR influences weed infestation by affecting weed seed survival, germination, emergence and development. Weed management under DDSR through crop residues (mulch or anchored residue) offers various direct and indirect advantages for microclimates in maintaining soil temperature, conserving soil moisture, suppressing weeds and adding organic matter in due time. A significant reduction in the emergence of different weed types, namely grassy, broadleaf and sedges up to 73–76%, 65–67% and 22–70%, respectively, has been reported with the application of preceding wheat residue (5 t ha<sup data-moz-translations-id=0>−1</sup>) retention under DDSR.</div><div class=html-p>Weed suppression due to residue application depends upon the type of weed and volume of residue added. Weed species including <span class=html-italic data-moz-translations-id=0>Echinochloa crus</span>-<span class=html-italic data-moz-translations-id=1>galli</span>, <span class=html-italic data-moz-translations-id=2>Echinochloa colona</span>, <span class=html-italic data-moz-translations-id=3>D. aegyptium</span>, <span class=html-italic data-moz-translations-id=4>I. rugosum</span>, <span class=html-italic data-moz-translations-id=5>Eleusine indica</span>, <span class=html-italic data-moz-translations-id=6>Euphorbia prostrata</span> Aiton, and <span class=html-italic data-moz-translations-id=7>Murdannia nudiflora</span> L. Brenen may require 4–6 t ha<sup data-moz-translations-id=8>−1</sup> of residues load for significant weed suppression; however, crop residues do not affect the emergence and growth of weed species such as <span class=html-italic data-moz-translations-id=9>Trianthema portulacastrum</span> L., <span class=html-italic data-moz-translations-id=10>Amaranthus viridis</span> L., and <span class=html-italic data-moz-translations-id=11>Ipomoea tribola</span> L. [<a href=#B115-agronomy-10-01264 class=html-bibr title data-moz-translations-id=12>115</a>]. The success and efficacy of crop residue use for weed management depend upon the relative position and morphology of weed seeds and residues, the volume of residue, the crop from which it is derived and environmental factors. But, some crop residues, like from <span class=html-italic data-moz-translations-id=13>Brassica</span> spp., exhibit allelopathy which alters the emergence and growth of the developing weeds [<a href=#B45-agronomy-10-01264 class=html-bibr title data-moz-translations-id=14>45</a>]. The self-supportive allelopathy can be explored for weed management in DDSR. The seed size disparity between small-seeded weed species and the larger size of rice seeds offers prospects for weed suppression in DDSR with residue use.</div><div class=html-p><span class=html-italic data-moz-translations-id=0>Crotolaria juncea</span> or <span class=html-italic data-moz-translations-id=1>Sesbania aculeata</span> co-culture with rice as brown manure and knockdown with selective herbicides (2,4-D ethyl ester or bispyribac-sodium) at 25–30 DAS reduces weed emergence and adds biomass and fertility to the soil [<a href=#B21-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>21</a>,<a href=#B69-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>69</a>]. Rice-<span class=html-italic data-moz-translations-id=4>Sesbania</span> co-culture remains more effective for both broad-leaved weeds and sedges, however, remains less effective against grassy weeds [<a href=#B116-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>116</a>].</div></section><section id=sec6dot5-agronomy-10-01264 type><h4 class=html-italic data-nested=2 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.5. Chemical Weed Management</h4><div class=html-p>Various methods of weed management, including manual and mechanical weeding by hoe or hand pulling have certain constraints like intensive labor use, non-availability of laborers and difficulty in differentiation between weed and crop plants; this often remains tedious, difficult, less effective, impractical and cost-intensive [<a href=#B117-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>117</a>]. Despite the apprehensions like weed shifts, poor availability of new broad-spectrum herbicides, development of herbicide resistance among weeds and environmental trade-offs, chemical weed management remains necessary for managing weeds in DDSR. The cautious use of herbicides with appropriate doses and methods should be commonly adopted for improved timeliness of weed control in DDSR [<a href=#B14-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>14</a>].</div><div class=html-p>Most of the weed seeds remain in the upper 2–3 cm soil layer under DDSR and any pre-emergence (PRE) herbicide application gives a satisfactory weed control for the emerging crop [<a href=#B25-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>25</a>]. Also, many herbicides have been developed which effectively control various noxious weeds in rice. Important PRE herbicides are pendimethalin, oxadiazon, oxadiargyl, pretilachlor, etc., while bispyribac-sodium, penoxsulam, fenoxaprop, azimsulfuron, 2,4-D, metsulfuron-methyl, etc. are commonly used post-emergence (POST) herbicides under DDSR. The sequential application of early POST (10–12 DAS) and late POST (25–30 DAS) under DDSR remains essential under heavy weed infestation [<a href=#B118-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>118</a>]. Pendimethalin or pretilachlor as PRE and early POST application of oxadiargyl, anilofos, or thiobencarb followed by POST 2,4-D offer effective control of most of the weeds. Acetolactate synthase (ALS) inhibitors, Acetyl CoA Carboxylase inhibitors and protoporphyrinogen oxidase (protox) inhibitors-based new generation POST herbicides offer a span of 7 to 25 DAS for herbicide application in DDSR. Herbicide mixtures can also be chosen as pyrazasulfuron plus bispyribac-sodium, depending on the prevalence of weed species flora in the area. A ready mixture of chlorimuron-methyl and metsulfuron-methyl remains effective for both grassy and broad-leaved weeds in DDSR. Likewise, pyrazosulfuron followed by fenoxaprop and metsulfuron plus chlorimuron stands very effective against <span class=html-italic data-moz-translations-id=2>C. rotundus</span> [<a href=#B119-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>119</a>].</div><div class=html-p>Economizing weed management in DDSR with the use of herbicides should also focus on herbicide resistance prevention, management, and mitigation. For instance, oxadiazon and metolachlor are effective against weedy rice but should be applied well before sowing as they can be phytotoxic to crop emergence if heavy rain occurs immediately after herbicide application [<a href=#B120-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>120</a>]. To overcome this constraint, an early POST herbicide may also be used. Also, pretilachlor when applied under a broadcasting situation should be applied along with a safener under stagnant water for at least 48 h.</div><div class=html-p>The incessant use of persistent herbicides having long residual activity has caused a significant weed shift and development of herbicide resistance either slowly or rapidly [<a href=#B121-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>121</a>]. For instance, the higher weed menace and over-reliance on herbicides, un-timely herbicide applications with doses higher than recommended for butachlor, anilofos and pretilachlor for the control for emerging grassy weeds have reduced the efficiency of herbicides [<a href=#B122-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>122</a>]. So far, more than 30 weed species prevalent in rice have developed resistance against propanil, 2,4-D and newer sulfonylurea herbicides [<a href=#B123-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>123</a>]. The success of chemical weed management depends on the presence of weed species and their dominance. Every individual herbicide has its own strength and also weakness, for example, bispyribac-sodium provides effective control of most grasses but cannot control <span class=html-italic data-moz-translations-id=3>L. chinensis</span>, <span class=html-italic data-moz-translations-id=4>D. aegyptium</span> and <span class=html-italic data-moz-translations-id=5>Cyperus</span> spp. [<a href=#B124-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>124</a>]. Herbicide efficacy can be enhanced with the use of proper spray techniques. A flat fan nozzle with multiple nozzle booms should be used for higher spray uniformity across the swath. Herbicide mixtures (both tank and ready-mix) should be used for broad-spectrum management of all broad-leaved, grassy weeds and sedges [<a href=#B125-agronomy-10-01264 class=html-bibr title data-moz-translations-id=7>125</a>]. In practice, the dose of a narrow-spectrum herbicide often exceeds and the over-doses of herbicides, especially for PRE herbicides like oxadiazon, initially controls weeds at 15–20 DAS only and the season-long use may result in development of herbicide resistance. To avert the evolution of herbicide resistance in weed species, herbicides with dissimilar modes of action should be selected and rotated [<a href=#B126-agronomy-10-01264 class=html-bibr title data-moz-translations-id=8>126</a>]. Herbicide performance and efficacy changes with other cultural practices like tillage and irrigation, according to which PRE soil-active herbicides should be selected [<a href=#B44-agronomy-10-01264 class=html-bibr title data-moz-translations-id=9>44</a>]. For example, pendimethalin does not provide good control of <span class=html-italic data-moz-translations-id=10>C. rotundus</span> and <span class=html-italic data-moz-translations-id=11>I. triloba</span>. The co-application of herbicide safeners with post-emergence herbicides enhance the selectivity of herbicides by protecting the crop from herbicide injury. Some safeners used to protect rice against the use of high-dose herbicides such as clomazone, organophosphate insecticide phorate and triallate-plus-phorate could be effective against weedy rice with minimal rice damage [<a href=#B29-agronomy-10-01264 class=html-bibr title data-moz-translations-id=12>29</a>,<a href=#B127-agronomy-10-01264 class=html-bibr title data-moz-translations-id=13>127</a>]. Likewise, application of fenclorim to rice seeds before the pre-emergence application of pretilachlor enables selective weedy rice control without rice damage [<a href=#B128-agronomy-10-01264 class=html-bibr title data-moz-translations-id=14>128</a>].</div><div class=html-p>Polymeric nano-herbicides pose higher penetration and delivery efficiency which can prevent the overuse of herbicide and the chances of contaminating the environment. The precise dose would also reduce the chances of the evolution of herbicide resistance in weed biotypes. The entry and translocation of herbicide molecules encapsulated with nanoparticles aiming at a specific receptor in plant parts of targeted weeds has improved the bio-availability and herbicidal activity in atrazine [<a href=#B129-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>129</a>,<a href=#B130-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>130</a>]. Nano-herbicides and nano-materials for adjuvants can prove beneficial in the control of emerging perennial weeds and exhausting weed seed banks under DDSR. Alginate and chitosan nanoparticles for the encapsulation of paraquat [<a href=#B131-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>131</a>] and nano-sized rice husk as a nano-carrier for 2,4-D [<a href=#B132-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>132</a>] are some examples of successful nano-formulations. At the same time, nano-particles such as carboxymethyl cellulose also facilitate the easy degradation of atrazine residue in the environment [<a href=#B133-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>133</a>].</div></section><section id=sec6dot6-agronomy-10-01264 type><h4 class=html-italic data-nested=2 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.6. Herbicide-Tolerant Rice (HT-Rice)</h4><div class=html-p>Herbicide-tolerant (HT) crops remain tolerant to a specific herbicide or a group of herbicides to which the crop is otherwise sensitive. The development of herbicide tolerance in rice was targeted for effective and selective control for enormous emerging weeds, especially weedy rice. HT rice is a feasible, economic and practical long-term solution for weeds in DSR systems. Different mechanisms for the selectivity of different herbicides have been exploited for the development of herbicide tolerance in many crops [<a href=#B134-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>134</a>] and herbicides belonging to the imidazolinones group are most widely used under both transgenic and non-transgenic approaches [<a href=#B135-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>135</a>]. Clearfield is a non-transgenic HT rice production technology, which has been introduced using induced mutation breeding in the United States and has been found effective against a number of herbicides [<a href=#B136-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>136</a>]. During the early 21st century, a resistant line (93-AS-3510) against ALS was identified from a single surviving rice plant after chemical mutation [<a href=#B14-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>14</a>]. The rice cultivars Clearfield 121 and Clearfield 141 in the United States and IRGA 422 CL in Brazil were then developed with the transference of the gene mutation G654E [<a href=#B137-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>137</a>].</div><div class=html-p>Imidazolinone herbicides are broad-spectrum POST herbicides and hence, their doses can be kept depending on the extent of weed infestation and repeated sprays can be done [<a href=#B138-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>138</a>]. These high-efficacy low-dose herbicides are biodegradable and leave a very low quantity of herbicide released in the environment. HT rice, however, appears to be a promising alternative where all other weed suppression methods fail to give practical results. Two more transgenic HT rice lines, named Liberty Link and Roundup Ready have also been developed against glufosinate and glyphosate, respectively.</div><div class=html-p>This technology offers prospects for targeted control of weedy rice, but the possibility of gene flow from HT rice to weedy rice is a major hitch for its long-term use [<a href=#B39-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>39</a>,<a href=#B139-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>139</a>]. The chances of natural outcrossing among rice plants in the Clearfield lines is, however, less than 1% and it is widely grown in Europe, Brazil and the United States [<a href=#B140-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>140</a>], yet the gene flow may establish and spread [<a href=#B141-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>141</a>]. The guidelines for growing HT rice clearly mention that the physical isolation for HT rice should be <span class=html-italic data-moz-translations-id=4>ensured, HT rice should not be allowed to grow for two consecutive seasons. Any weedy rice plants</span> remaining viable after the spray might exert selection pressure and hence should be immediately removed from the field [<a href=#B142-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>142</a>].</div></section><section id=sec6dot7-agronomy-10-01264 type><h4 class=html-italic data-nested=2 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.7. Monitoring, Assessing and Speculating on Weed Infestation Using Models</h4><div class=html-p>The identification and accurate understanding of complex crop-weed interference has become possible through technological advances made in precision weed management [<a href=#B143-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>143</a>]. Crop-weed competition is not influenced by the weed characteristics alone, but also by environmental and management factors. To capture all the genetic, management and environmental factors, many process-based simulation models have been designed to quantify crop-weed interference for prediction of yield penalty [<a href=#B144-agronomy-10-01264 class=html-bibr title data-moz-translations-id=1>144</a>]. Prediction of weedy rice impacts through models addressing crop–weed combinations as integrative tools to identify the best management strategies under limited resources can be explored for developing IWM strategies [<a href=#B145-agronomy-10-01264 class=html-bibr title data-moz-translations-id=2>145</a>]. The factor regulating weed population dynamics namely seedbank size, seed dormancy and germination, cropping system, water management, tillage and methods used in weed control are used in models. Some models have been specifically developed for weedy rice [<a href=#B146-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>146</a>]. The empirical model developed using rectangular hyperbola is widely used to estimate yield in response to weed infestation [<a href=#B147-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>147</a>,<a href=#B148-agronomy-10-01264 class=html-bibr title data-moz-translations-id=5>148</a>]. The rectangular hyperbola models with independent variables describing the mixed-weed infestations for predicting economic thresholds of weeds remains desirable under DSR situations [<a href=#B149-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>149</a>].</div></section><section id=sec6dot8-agronomy-10-01264 type><h4 class=html-italic data-nested=2 style=font-family:Arial,Arial,Helvetica,sans-serif> 6.8. Integrated Weed Management (IWM) Strategies</h4><div class=html-p>An over-reliance solely on herbicides as a weed management strategy poses several economic and environmental risks. The IWM approach, including improved crop-resource management practices compatible with herbicides becomes imperative in the changing weed dynamics and crop-weed interference under DDSR. The weed management should target to deplete weed seed banks as weeds are only a symptom of the problem; the main problem is the weed seed bank. Thus, deploying a flexible IWM strategy with more emphasis on preventive and cultural methods to reduce dependence on herbicides in DSR systems remains more desirable than using individual tactics.</div><div class=html-p>Various weed control methods for DDSR have been assessed, but complete reliance on one strategy fails to provide full control for weeds. A higher seed rate and fertilizer for stimulating initial growth, later on, limits the herbicide as an effective weed management approach [<a href=#B150-agronomy-10-01264 class=html-bibr title data-moz-translations-id=0>150</a>]. Under DSR, stale seedbed followed by retention of crop residues followed by applications of early and late postemergence herbicides can substantially reduce weed densities. Integration of pretilachlor (PE) either with one hand weeding at 30 DAS or with brown manure through <span class=html-italic data-moz-translations-id=1>Sesbania aculeata</span> or <span class=html-italic data-moz-translations-id=2>Sesbania rostrata</span> provided desirable weed management during the critical growth period of DDSR under Eastern Indo-Gangetic Plains of India [<a href=#B151-agronomy-10-01264 class=html-bibr title data-moz-translations-id=3>151</a>]. The stale seedbed as a cultural weed management method when integrated with penoxsulam as early post-emergence and one hand weeding at 35–45 DAS achieved 76.8% and 94.3% weed control efficiency at 30 and 60 DAS, respectively. The weed control efficiency further increased to 93% and 97% with stale seedbed and penoxsulam at 10–15 DAS followed by metsulfuron-methyl plus chlorimuron ethyl at 35–40 DAS [<a href=#B152-agronomy-10-01264 class=html-bibr title data-moz-translations-id=4>152</a>]. Crop residue mulch from preceding crops of wheat at 4 t ha<sup data-moz-translations-id=5>−1</sup> in DDSR also remain effective against both grassy and broad-leaved weeds. A weed suppression of up to 54% and an increase in yield by 22% has been reported [<a href=#B153-agronomy-10-01264 class=html-bibr title data-moz-translations-id=6>153</a>]. Likewise, maize mulch 5 t ha<sup data-moz-translations-id=7>−1</sup> provides weed suppression of up to 56% and increases in yield by 32% in DSR [<a href=#B154-agronomy-10-01264 class=html-bibr title data-moz-translations-id=8>154</a>]. Higher nitrogen rates and pendimethalin plus bispyribac-sodium at 20 DAS followed by one hand-weeding results in higher net returns and water productivity under DSR [<a href=#B155-agronomy-10-01264 class=html-bibr title data-moz-translations-id=9>155</a>].</div></section></section><section id=sec7-agronomy-10-01264 type=conclusions><h2 data-nested=1 style=font-family:Arial,Arial,Helvetica,sans-serif> 7. Conclusions</h2><div class=html-p>DDSR with appropriate agronomic interventions can produce similar yields as that of TPR and remains a feasible substitute for TPR under a labor and water shortage. Unmanaged weeds in the field are reported to reduce yield up to 75% in DDSR. A systematic weed-monitoring program for implementing successful IWM is required, wherein different weed-management approaches namely cultural weed management through stale seedbed and crop residue mulch, utilizing crop-competitiveness by growing suitable cultivars and altering seed rate, row spacing, nutrient and water management can enhance the crop competitive ability. Needs-based chemical weed management through herbicide, herbicide mixture, identification of new herbicides against a wide spectrum of weeds, and use of HT rice, would help in achieving a long-term and sustainable weed control in DDSR. The newer technologies for assessing weed losses through crop models and exploring self-suppressive allelopathy remain desirable. These agronomic and technological innovations have made weed management very effective and economical by reducing the weed-management costs incurred in curative tactics in DDSR. Also, developing new rice cultivars suitable for direct dry sowing and short-statured ideotypes with higher initial vigor would help the wider adoption of DDSR.</div></section>
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<section class=html-notes><h2 style=font-family:Arial,Arial,Helvetica,sans-serif>Author Contributions</h2><div class=html-p>K.S. wrote the manuscript. S.S.R. wrote and edited the manuscript. B.S.C. edited the manuscript. All authors have read and agreed to the published version of the manuscript.</div></section><section class=html-notes><h2 style=font-family:Arial,Arial,Helvetica,sans-serif>Funding</h2><div class=html-p>This research received no external funding.</div></section><section class=html-notes><h2 style=font-family:Arial,Arial,Helvetica,sans-serif>Conflicts of Interest</h2><div class=html-p>The authors declare no conflict of interest.</div></section><section id=html-references_list><h2 style=font-family:Arial,Arial,Helvetica,sans-serif>References</h2><ol class=html-xxx><li id=B1-agronomy-10-01264 class=html-x data-content=1. data-moz-translations-id=0>Food and Agriculture Organization Corporate Statistical Database (FAOSTAT); Food and Agriculture Organization of the United Nations Database; Food and Agriculture Organization (FAO), Rome. Available online: <a href=http://www.fao.org/ target=_blank rel="noopener noreferrer" data-moz-translations-id=1>http://www.fao.org</a> (accessed on 12 May 2020).<li id=B2-agronomy-10-01264 class=html-x data-content=2. data-moz-translations-id=2>Priya, T.S.R.; Nelson, A.R.L.E.; Ravichandran, K.; Antony, U. Nutritional and functional properties of coloured rice varieties of South India: A review. <span class=html-italic data-moz-translations-id=3>J. Ethn. Foods</span> <b data-moz-translations-id=4>2019</b>, <span class=html-italic data-moz-translations-id=5>6</span>, 1–11. 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Nitrogen Fertilizer Rate Effects on Weed Competitiveness is Species Dependent. <span class=html-italic data-moz-translations-id=803>Weed Sci.</span> <b data-moz-translations-id=804>2008</b>, <span class=html-italic data-moz-translations-id=805>56</span>, 743–747. [<a href="https://scholar.google.com/scholar_lookup?title=Nitrogen+Fertilizer+Rate+Effects+on+Weed+Competitiveness+is+Species+Dependent&author=Blackshaw,+R.E.&author=Brandt,+R.N.&publication_year=2008&journal=Weed+Sci.&volume=56&pages=743%E2%80%93747&doi=10.1614/WS-08-065.1" class=google-scholar target=_blank rel="noopener noreferrer" data-moz-translations-id=806>Google Scholar</a>] [<a href=https://doi.org/10.1614/WS-08-065.1 class=cross-ref target=_blank rel="noopener noreferrer" data-moz-translations-id=807>CrossRef</a>]<li id=B151-agronomy-10-01264 class=html-xxx data-content=151. data-moz-translations-id=808>Naz, S.; Nandan, R.; Roy, D.K. Effect of Crop Establishment Methods and Weed Management Practices on Productivity, Economics and Nutrient Uptake in Direct Seeded Rice (<span class=html-italic data-moz-translations-id=809>Oryza sativa</span> L.). <span class=html-italic data-moz-translations-id=810>Int. J. Curr. Microbiol. Appl. Sci.</span> <b data-moz-translations-id=811>2020</b>, <span class=html-italic data-moz-translations-id=812>9</span>, 3002–3009. 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Agric.</span> <b data-moz-translations-id=817>2019</b>, <span class=html-italic data-moz-translations-id=818>57</span>, 71–77. [<a href="https://scholar.google.com/scholar_lookup?title=Integrated+weed+management+in+upland+rice+intercropped+in+coconut&author=Syriac,+E.K.&author=Raj,+S.K.&publication_year=2019&journal=J.+Trop.+Agric.&volume=57&pages=71%E2%80%9377" class=google-scholar target=_blank rel="noopener noreferrer" data-moz-translations-id=819>Google Scholar</a>]<li id=B153-agronomy-10-01264 class=html-xxx data-content=153. data-moz-translations-id=820>Singh, M.; Bhullar, M.S.; Chauhan, B.S. The critical period for weed control in dry-seeded rice. <span class=html-italic data-moz-translations-id=821>Crop. Prot.</span> <b data-moz-translations-id=822>2014</b>, <span class=html-italic data-moz-translations-id=823>66</span>, 80–85. [<a href="https://scholar.google.com/scholar_lookup?title=The+critical+period+for+weed+control+in+dry-seeded+rice&author=Singh,+M.&author=Bhullar,+M.S.&author=Chauhan,+B.S.&publication_year=2014&journal=Crop.+Prot.&volume=66&pages=80%E2%80%9385&doi=10.1016/j.cropro.2014.08.009" class=google-scholar target=_blank rel="noopener noreferrer" data-moz-translations-id=824>Google Scholar</a>] [<a href=https://doi.org/10.1016/j.cropro.2014.08.009 class=cross-ref target=_blank rel="noopener noreferrer" data-moz-translations-id=825>CrossRef</a>]<li id=B154-agronomy-10-01264 class=html-xxx data-content=154. data-moz-translations-id=826>Mohtisham, A.; Ahmad, R.; Ahmad, Z.; Aslam, M.R. Effect of different mulches techniques on weed infestation in aerobic rice (<span class=html-italic data-moz-translations-id=827>Oryza sativa</span> L.). <span class=html-italic data-moz-translations-id=828>Am.-Eurasian J. Agric. Environ. Sci.</span> <b data-moz-translations-id=829>2013</b>, <span class=html-italic data-moz-translations-id=830>13</span>, 153–157. [<a href="https://scholar.google.com/scholar_lookup?title=Effect+of+different+mulches+techniques+on+weed+infestation+in+aerobic+rice+(Oryza+sativa+L.)&author=Mohtisham,+A.&author=Ahmad,+R.&author=Ahmad,+Z.&author=Aslam,+M.R.&publication_year=2013&journal=Am.-Eurasian+J.+Agric.+Environ.+Sci.&volume=13&pages=153%E2%80%93157" class=google-scholar target=_blank rel="noopener noreferrer" data-moz-translations-id=831>Google Scholar</a>]<li id=B155-agronomy-10-01264 class=html-xxx data-content=155. data-moz-translations-id=832>Mahajan, G.; Timsina, J. Effect of nitrogen rates and weed control methods on weeds abundance and yield of direct-seeded rice. <span class=html-italic data-moz-translations-id=833>Arch. Agron. Soil Sci.</span> <b data-moz-translations-id=834>2011</b>, <span class=html-italic data-moz-translations-id=835>57</span>, 239–250. [<a href="https://scholar.google.com/scholar_lookup?title=Effect+of+nitrogen+rates+and+weed+control+methods+on+weeds+abundance+and+yield+of+direct-seeded+rice&author=Mahajan,+G.&author=Timsina,+J.&publication_year=2011&journal=Arch.+Agron.+Soil+Sci.&volume=57&pages=239%E2%80%93250&doi=10.1080/03650340903369384" class=google-scholar target=_blank rel="noopener noreferrer" data-moz-translations-id=836>Google Scholar</a>] [<a href=https://doi.org/10.1080/03650340903369384 class=cross-ref target=_blank rel="noopener noreferrer" data-moz-translations-id=837>CrossRef</a>]</ol></section><section id=Figures type=display-objects>
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<section id=html-copyright><br data-moz-translations-id=0>© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (<a href=http://creativecommons.org/licenses/by/4.0/ target=_blank rel="noopener noreferrer" data-moz-translations-id=1>http://creativecommons.org/licenses/by/4.0/</a>).</section>
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<a href='mailto:?&subject=From%20MDPI%3A%20%22Weed%20Management%20in%20Dry%20Direct-Seeded%20Rice%3A%20A%20Review%20on%20Challenges%20and%20Opportunities%20for%20Sustainable%20Rice%20Production"&body=https://www.mdpi.com/808740%3A%0A%0AWeed%20Management%20in%20Dry%20Direct-Seeded%20Rice%3A%20A%20Review%20on%20Challenges%20and%20Opportunities%20for%20Sustainable%20Rice%20Production%0A%0AAbstract%3A%20Rice%20cultivation%20always%20remains%20significant%20for%20food%20and%20livelihood%20security.%20The%20predictions%20of%20increasing%20water%20deficiency%20under%20a%20changing%20climate%20and%20escalating%20labor%20shortages%20in%20agriculture%20have%20brought%20a%20paradigm%20swing%20in%20rice%20cultivation%20from%20conventionally%20flooded%20transplanting%20to%20direct-seeded%20rice%20%28DSR%29.%20DSR%20cultivation%20can%20potentially%20address%20the%20concerns%20of%20diminishing%20natural%20resources%20and%20mounting%20production%20costs%20in%20the%20establishment%20of%20transplanted%20rice.%20The%20transition%20towards%20DSR%20saves%20water%2C%20reduces%20duration%20to%20maturity%20as%20well%20as%20labor%20required%2C%20and%20reduces%20negative%20environmental%20footprints.%20Despite%20all%20these%20recompenses%2C%20the%20potential%20yield%20losses%20through%20enormous%20weed%20menaces%20under%20DSR%20remains%20a%20challenge%20and%20may%20reduce%20yield%20by%20up%20to%2050%25.%20In%20this%20review%2C%20we%20examine%20the%20extent%20of%20weed%20infestation%2C%20weed%20shift%20and%20the%20losses%20in%20dry%20DSR%20%28DDSR%29.%20Various%20regional%20and%20global%20scientific%20efforts%20made%20under%20DDSR%20have%20been%20assessed%20in%20the%20present%20and%20the%20smart%20weed-management%20strategies%20suggested%20can%20be%20adopted%20after%20scrutiny.%20Integration%20of%20different%20weed%20management%20approaches%2C%20namely%20prevention%2C%20cultural%2C%20mechanical%2C%20and%20chemical%2C%20have%20been[...]' title=Email>
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Shekhawat, K.; Rathore, S.S.; Chauhan, B.S.
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Weed Management in Dry Direct-Seeded Rice: A Review on Challenges and Opportunities for Sustainable Rice Production. <em data-moz-translations-id=0>Agronomy</em> <b data-moz-translations-id=1>2020</b>, <em data-moz-translations-id=2>10</em>, 1264.
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Shekhawat K, Rathore SS, Chauhan BS.
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Weed Management in Dry Direct-Seeded Rice: A Review on Challenges and Opportunities for Sustainable Rice Production. <em data-moz-translations-id=3>Agronomy</em>. 2020; 10(9):1264.
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Shekhawat, Kapila, Sanjay Singh Rathore, and Bhagirath S. Chauhan.
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2020. "Weed Management in Dry Direct-Seeded Rice: A Review on Challenges and Opportunities for Sustainable Rice Production" <em data-moz-translations-id=7>Agronomy</em> 10, no. 9: 1264.
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y=327.39230484541326 opacity=1><tspan>13. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>14. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>15. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>16. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>17. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>18. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>19. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>20. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>21. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>22. Jul</tspan></text><text x=127.21666666666668 text-anchor=start transform="translate(0,0) rotate(30 127.21666666666668 327.39230484541326)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=327.39230484541326 opacity=1><tspan>23. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>24. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>25. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>26. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>27. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>28. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>29. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>30. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>31. Jul</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>1. Aug</tspan></text><text x=195.99444444444444 text-anchor=start transform="translate(0,0) rotate(30 195.99444444444444 327.39230484541326)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=327.39230484541326 opacity=1><tspan>2. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>3. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>4. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>5. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>6. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>7. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>8. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>9. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>10. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>11. Aug</tspan></text><text x=264.77222222222224 text-anchor=start transform="translate(0,0) rotate(30 264.77222222222224 327.39230484541326)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=327.39230484541326 opacity=1><tspan>12. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>13. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>14. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>15. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>16. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>17. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>18. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>19. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>20. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>21. Aug</tspan></text><text x=333.55 text-anchor=start transform="translate(0,0) rotate(30 333.55 327.39230484541326)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=327.39230484541326 opacity=1><tspan>22. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>23. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>24. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>25. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>26. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>27. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>28. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>29. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>30. Aug</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>31. Aug</tspan></text><text x=402.3277777777778 text-anchor=start transform="translate(0,0) rotate(30 402.3277777777778 327.39230484541326)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=327.39230484541326 opacity=1><tspan>1. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>2. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>3. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>4. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>5. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>6. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>7. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>8. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>9. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>10. Sep</tspan></text><text x=471.10555555555555 text-anchor=start transform="translate(0,0) rotate(30 471.10555555555555 327.39230484541326)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=327.39230484541326 opacity=1><tspan>11. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>12. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>13. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>14. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>15. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>16. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>17. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>18. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>19. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>20. Sep</tspan></text><text x=539.8833333333334 text-anchor=start transform="translate(0,0) rotate(30 539.8833333333334 327.39230484541326)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=327.39230484541326 opacity=1><tspan>21. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>22. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>23. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>24. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>25. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>26. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>27. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>28. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>29. Sep</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>30. Sep</tspan></text><text x=608.6611111111112 text-anchor=start transform="translate(0,0) rotate(30 608.6611111111112 327.39230484541326)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=327.39230484541326 opacity=1><tspan>1. Oct</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>2. Oct</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>3. Oct</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>4. Oct</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>5. Oct</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>6. Oct</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>7. Oct</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>8. Oct</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>9. Oct</tspan></text><text x=0 text-anchor=start transform="translate(0,0) rotate(30 0 -9999)" style=color:#606060;cursor:default;font-size:11px;fill:#606060 y=-9999><tspan>10. 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