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Cited by 11Sugarcane Cultivation and ProcessingAgriculture, Soil, Plant ScienceCrop Yield and Soil Fertility

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Crop Models

Singels, Abraham·2013·Sugarcane: Physiology, Biochemistry, and Functional Biology
DOI 10.1002/9781118771280.ch20
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Abstract

This chapter reviews the mathematical modeling of crop growth and yield and its application to assist in the research and management of sugarcane production. It summarizes approaches to modeling key aspects of the soil-plant-atmosphere system. The chapter reviews sugarcane models with regard to (1) concepts of crop development and growth processes and how well they represent current knowledge and theory of the physiology of the crop and (2) their application in sugarcane research and crop production management. It talks about the potential of models for enhancing crop improvement by summarizing case studies for other crops and highlighting the modeling requirements. A brief review is also given on the empirical models that could be used to estimate productivity and support production management of sugarcane.

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Metadata

Authors
Singels, A.
Affiliations
South African Sugarcane Research Institute (ZA)
Corresponding author
Singels, Abraham
ORCID
Singels, Abraham
Venue
Sugarcane: Physiology, Biochemistry, and Functional Biology
Publisher
Wiley
Published
2013-12-06
Pages
541-577
DOI
10.1002/9781118771280.ch20
OpenAlex
W2915028857
Cited by
11
References
3
Citations by year
2023: 1 · 2021: 2 · 2020: 2 · 2019: 3 · 2018: 1 · 2016: 2
Type
other
Language
en
Open access
closed
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Sugarcane Cultivation and Processing
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agriculture, Soil, Plant Science
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
Keywords
crop models, sugarcane, crop growth simulation, crop yield simulation, soil-plant-atmosphere system, crop physiology, crop development, production management, empirical yield model, crop improvement

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Singels, A. (2013). Crop Models. Sugarcane: Physiology, Biochemistry, and Functional Biology. https://doi.org/10.1002/9781118771280.ch20