An Interpretable Deep Learning Framework for Genomic Prediction of Drought Tolerance in Rice
Drought tolerance in rice is a complex quantitative trait that is difficult to predict from high-dimensional genomic data. We developed an interpretable deep-learning framework using phenotypic and genome-wide SNP genotype data from 426 rice accessions. Seven drought-response agronomic traits were integrated through pr...