Record Details

How process-based modeling can help plant breeding deal with G x E x M interactions

OAR@ICRISAT

View Archive Info
 
 
Field Value
 
Relation http://oar.icrisat.org/12366/
https://www.sciencedirect.com/science/article/pii/S0378429022001253
https://doi.org/10.1016/j.fcr.2022.108554
 
Title How process-based modeling can help plant breeding deal with G x E x M interactions
 
Creator Hajjarpoor, A
Nelson, W C D
Vadez, V
 
Subject Crop Modelling
Plant Breeding
 
Description Genotype-by-Environment-by-Management (GxExM) interactions represent many unknowns for crop improvement programs, which hampers the development of improved varieties, especially for highly variable environments like those limited by rainfall. While breeding programs have traditionally used statistical tools to deal with these interactions, process-based crop modeling has recently become an alternative and powerful approach. Overall, while statistical methods remain the most optimal solution to deal with GxExM interactions when many production datasets across time and space are available from multi-environment trials (MET), in silico methods like crop modeling can be used if such data is lacking, or if MET data don’t cover the entire target region. Yet, despite several reviews on the potential uses of process-based modeling tools to aid such issues, their practical use in helping breeding programs is still in its infancy. After exposing the pros and cons of process-based modeling, this paper presents the step-by-step process that would allow breeding programs to harness this tool to help guide their breeding decisions. We also argue that the issue of GxExM interactions should be tackled in a co-construction process, involving breeders, agronomists, extensionists, and modelers from the beginning, and this would bring crop models one step closer to being used to help make plant breeding decisions.
 
Publisher Elsevier
 
Date 2022-07-01
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Rights cc_by_nc_nd
 
Identifier http://oar.icrisat.org/12366/1/Field%20Crops%20Research_283_1-12_2022.pdf
Hajjarpoor, A and Nelson, W C D and Vadez, V (2022) How process-based modeling can help plant breeding deal with G x E x M interactions. Field Crops Research (TSI), 283. pp. 1-14. ISSN 0378-4290