What is physiological epistasis in the context of crop growth modeling and genomic prediction?
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Physiological epistasis in the context of crop growth modeling and genomic prediction refers to the non-linear relationship between gene expression and growth rate, which is influenced by environmental and genetic factors . It is important to accurately predict changes in cellular growth rate based on gene expression variation to engineer biosynthetic pathways and understand mRNA abundance constraints . Epistasis models, such as Epistatic Random Regression BLUP (ERRBLUP) and selective Epistatic Random Regression BLUP (sERRBLUP), have been used to improve prediction accuracy in genomic prediction . These models consider additive and epistatic effects of genes and can capture genetic and environmental epistasis . By including first-order additive × additive epistasis in linear mixed models (LMMs), the accuracy of breeding value estimation for complex disease resistance phenotypes in crops can be improved . Overall, modeling epistasis in genomic selection can reduce computational load and improve prediction accuracy, particularly for selfing species .
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