TY - JOUR
T1 - Using agro-ecological zones to improve the representation of a multi-environment trial of soybean varieties
AU - Gilbert, Catherine
AU - Martin, Nicolas
N1 - Publisher Copyright:
Copyright © 2024 Gilbert and Martin.
PY - 2024
Y1 - 2024
N2 - This research introduces a novel framework for enhancing soybean cultivation in North America by categorizing growing environments into distinct ecological and maturity-based zones. Using an integrated analysis of long-term climatic data and records of soybean varietal trials, this research generates a zonal environmental characterization which captures major components of the growing environment which affect the range of adaptation of soybean varieties. These findings have immediate applications for optimizing multi-environment soybean trials. This characterization allows breeders to assess the environmental representation of a multi-environmental trial of soybean varieties, and to strategize the distribution of testing and the placement of test sites accordingly. This application is demonstrated with a historical scenario of a soybean multi-environment trial, using two resource allocation models: one targeted towards improving the general adaptation of soybean varieties, which focuses on widely cultivated areas, and one targeted towards specific adaptation, which captures diverse environmental conditions. Ultimately, the study aims to improve the efficiency and impact of soybean breeding programs, leading to the development of cultivars resilient to variable and changing climates.
AB - This research introduces a novel framework for enhancing soybean cultivation in North America by categorizing growing environments into distinct ecological and maturity-based zones. Using an integrated analysis of long-term climatic data and records of soybean varietal trials, this research generates a zonal environmental characterization which captures major components of the growing environment which affect the range of adaptation of soybean varieties. These findings have immediate applications for optimizing multi-environment soybean trials. This characterization allows breeders to assess the environmental representation of a multi-environmental trial of soybean varieties, and to strategize the distribution of testing and the placement of test sites accordingly. This application is demonstrated with a historical scenario of a soybean multi-environment trial, using two resource allocation models: one targeted towards improving the general adaptation of soybean varieties, which focuses on widely cultivated areas, and one targeted towards specific adaptation, which captures diverse environmental conditions. Ultimately, the study aims to improve the efficiency and impact of soybean breeding programs, leading to the development of cultivars resilient to variable and changing climates.
KW - agro-ecological zones
KW - bioclimatic variation
KW - environmental representation
KW - multi-environment trials
KW - soybean adaptation
KW - soybean maturity groups
KW - spatial clustering
KW - target population of environments
UR - http://www.scopus.com/inward/record.url?scp=85189481211&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85189481211&partnerID=8YFLogxK
U2 - 10.3389/fpls.2024.1310461
DO - 10.3389/fpls.2024.1310461
M3 - Article
C2 - 38590744
AN - SCOPUS:85189481211
SN - 1664-462X
VL - 15
JO - Frontiers in Plant Science
JF - Frontiers in Plant Science
M1 - 1310461
ER -