Algorithm for estimating cultivar-specific parameters in crop models for newer crop cultivars

Model parameters in mechanistic process-based crop models are broadly classified into general parameters (environmental, management, and parameters related to soil processes), species-specific parameters, and cultivar-dependent parameters. While general and species-specific parameters typically remain unchanged, identifying cultivar-dependent parameters is crucial during calibration. With the continuous development of new cultivars, updating cultivar-specific parameters in crop models is necessary. However, gathering data on the behavior of these newer cultivars and calibrating the model to accommodate them is challenging. Currently, there is no standard approach for determining cultivar-specific parameters in crop models due to the difficulty of identifying variations in the growth and development process in newer cultivars, as well as the variations in the model structure, correlations between sub-model components and between different parameters in the crop models. The present study develops a standard methodology for determining cultivar-dependent parameters based on experiments and incorporating them into process-based crop growth models. The developed methodology is demonstrated using the cotton crop and the GOSSYM, a mechanistic process-based cotton crop simulation model. Experiments are conducted on 40 major cotton cultivars grown in the USA to quantify their growth and development under the same environmental and management conditions. Cultivar-dependent parameters are derived and integrated into the GOSSYM model based on the experimental data. By establishing a standardized methodology and demonstrating its application in the context of cotton and the GOSSYM model, this study provides practical guidance for incorporating cultivar-dependent parameters into crop simulation models. Researchers and agronomists can effectively utilize this methodology to integrate new cultivars into their crop models. • Experimental analysis of major growth and development features of 40 recent cotton cultivars in the USA. • A new methodology for determining cultivar-dependent parameters for newer cotton cultivars in crop models. • Adaptable methodology for determining cultivar-dependent parameters in other crop models.

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Publication Details

Journal
European Journal of Agronomy
Published
2024-08-09
DOI
https://doi.org/10.1016/j.eja.2024.127308
Citations
6
Primary Topic
Crop Yield and Soil Fertility
Type
article
Field-Weighted Citation Impact
3.41

Funders

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article

Algorithm for estimating cultivar-specific parameters in crop models for newer crop cultivars

Vangimalla R. Reddy, K. Raja Reddy, Sahila Beegum
6 citations
European Journal of Agronomy
Crop Yield and Soil Fertility
3.41
article

Algorithm for estimating cultivar-specific parameters in crop models for newer crop cultivars

Vangimalla R. Reddy, K. Raja Reddy, Sahila Beegum
article en
6 citations

Abstract

Model parameters in mechanistic process-based crop models are broadly classified into general parameters (environmental, management, and parameters related to soil processes), species-specific parameters, and cultivar-dependent parameters. While general and species-specific parameters typically remain unchanged, identifying cultivar-dependent parameters is crucial during calibration. With the continuous development of new cultivars, updating cultivar-specific parameters in crop models is necessary. However, gathering data on the behavior of these newer cultivars and calibrating the model to accommodate them is challenging. Currently, there is no standard approach for determining cultivar-specific parameters in crop models due to the difficulty of identifying variations in the growth and development process in newer cultivars, as well as the variations in the model structure, correlations between sub-model components and between different parameters in the crop models. The present study develops a standard methodology for determining cultivar-dependent parameters based on experiments and incorporating them into process-based crop growth models. The developed methodology is demonstrated using the cotton crop and the GOSSYM, a mechanistic process-based cotton crop simulation model. Experiments are conducted on 40 major cotton cultivars grown in the USA to quantify their growth and development under the same environmental and management conditions. Cultivar-dependent parameters are derived and integrated into the GOSSYM model based on the experimental data. By establishing a standardized methodology and demonstrating its application in the context of cotton and the GOSSYM model, this study provides practical guidance for incorporating cultivar-dependent parameters into crop simulation models. Researchers and agronomists can effectively utilize this methodology to integrate new cultivars into their crop models. • Experimental analysis of major growth and development features of 40 recent cotton cultivars in the USA. • A new methodology for determining cultivar-dependent parameters for newer cotton cultivars in crop models. • Adaptable methodology for determining cultivar-dependent parameters in other crop models.

European Journal of AgronomyVol. 160
University of Nebraska–Lincoln (US), Cropping Systems Research Laboratory (US), Mississippi State University (US)
Mississippi State University, University of Nebraska-Lincoln, National Institute of Food and Agriculture, Agricultural Research Service
Zero hunger
Openalex Percentile: Top 8%
Crop Yield and Soil Fertility
3.41
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