83 lines
2.9 KiB
Plaintext
Executable File
83 lines
2.9 KiB
Plaintext
Executable File
|
||
|
||
Skip to main navigation
|
||
Skip to search
|
||
Skip to main content
|
||
|
||
Research@WUR Logo
|
||
|
||
Help & FAQ
|
||
|
||
Home
|
||
Researchers
|
||
Research Units
|
||
Research Output
|
||
Datasets
|
||
Press / Media
|
||
Activities
|
||
0 More
|
||
|
||
Search by expertise, name or affiliation
|
||
A dynamic tomato growth and yield model (TOMGRO).
|
||
|
||
J.W. Jones, E. Dayan, L.H. Allen, H. van Keulen, H. Challa
|
||
|
||
Research output : Contribution to journal › Article › Academic › peer-review
|
||
174 Citations (Scopus)
|
||
|
||
Overview
|
||
Fingerprint
|
||
|
||
Abstract
|
||
Models of the greenhouse environment and of crops are needed to determine optimal strategies for environment control in regions where new greenhouse industries are developing. In this research, a physiological model of tomato crop development and yield was developed. A series of differential equations represent the changes in numbers and weights of leaves, fruit, and stem segments and in the areas of leaves, as new organs are initiated, age, and senesce or are picked. The model uses a source-sink approach for partitioning carbohydrate into growth of different organs. An experiment was conducted in six outdoor, controlled environment, growth chambers to quantify the effects of temperature, CO2, and light on tomato growth processes for calibrating the model. The model accurately described the differences in growth and yield of tomatoes that were observed in the experiment. With additional testing, the model can be used to help determine strategic and tactical decisions concerning greenhouse environment control over practical ranges of CO2 and temperature.
|
||
Original language English
|
||
Pages (from-to) 663-672
|
||
Journal Transactions of the ASAE
|
||
Volume 34
|
||
Issue number 2
|
||
Publication status Published - 1991
|
||
Keywords
|
||
|
||
growth
|
||
solanum lycopersicum
|
||
models
|
||
plant development
|
||
research
|
||
tomatoes
|
||
yield increases
|
||
yield losses
|
||
yields
|
||
greenhouse horticulture
|
||
|
||
Fingerprint Dive into the research topics of 'A dynamic tomato growth and yield model (TOMGRO).'. Together they form a unique fingerprint.
|
||
|
||
Lycopersicon esculentum Medicine & Life Sciences
|
||
growth models Agriculture & Biology
|
||
tomatoes Agriculture & Biology
|
||
Growth Medicine & Life Sciences
|
||
greenhouses Agriculture & Biology
|
||
Temperature Medicine & Life Sciences
|
||
Controlled Environment Medicine & Life Sciences
|
||
Fruit Medicine & Life Sciences
|
||
|
||
View full fingerprint
|
||
Cite this
|
||
|
||
APA
|
||
Author
|
||
BIBTEX
|
||
Harvard
|
||
Standard
|
||
RIS
|
||
Vancouver
|
||
|
||
Jones, J. W., Dayan, E., Allen, L. H., van Keulen, H., & Challa, H. (1991). A dynamic tomato growth and yield model (TOMGRO). Transactions of the ASAE , 34 (2), 663-672.
|
||
|
||
Powered by Pure , Scopus & Elsevier Fingerprint Engine™ © 2021 Elsevier B.V.
|
||
|
||
We use cookies to help provide and enhance our service and tailor content. By continuing you agree to the use of cookies
|
||
|
||
About web accessibility
|
||
|
||
Research@WUR contact form
|