OptimGS: a dual integrative genomic prediction framework for improving cold stress tolerance in wheat.

Abstract excerpt

Cold stress tolerance in wheat is a complex quantitative trait with low heritability, posing significant challenge for conventional breeding programs. Genomic selection offers a powerful framework for accelerating genetic gain; however, its prediction accuracy remains highly dependent on model choice and underlying genetic architecture. In this study, we propose a dual integrative genomic prediction framework...

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• Bayes Theorem
• Cold-Shock Response
• Genome, Plant
• Genomics
• Machine Learning