Shaoyuan Zhang

Genomic prediction vs. gene-based crop models: a case study on rice trait prediction

In this study, a dataset derived from a natural rice population was used to develop two genomic prediction models, genomic best linear unbiased prediction (GBLUP) and a convolutional neural network (CNN), together with a gene-based crop modeling framework, which provided valuable insights into modeling genotype-by-environment interactions.