“Integration of Enviromics into genetics and breeding”
In natural conditions, environmental conditions play a significant role in shaping phenotypic variation. However, effectively integrating the environmental contributions into genetic analyses and breeding programs remains a challenge. One key bottleneck is identifying key environmental variables from comprehensive whole-season external weather profiles that are associated with phenotypic variation. This webinar will first introduce the CERIS-JGRA framework designed to identify and integrate major environmental variables. This simple and straightforward framework provides an approach for comprehending and predicting phenotype values, thus enhancing our ability to develop resilient crop varieties. Then I will delve into the enviromic prediction approach, which leverages machine learning and deep learning to forecast crop performance over temporal and spatial scales.
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