Article
Integration of machine learning and genome-wide association study to explore the genomic prediction accuracy of agronomic trait in oats (Avena sativa L.).
The plant genome - 1 Mar 2025
Peng Jinghan, Lei Xiong, Liu Tianqi, Xiong Yi, Wu Jiqiang, Xiong Yanli, You Minghong, Zhao Junming, Zhang Jian, Ma Xiao
Abstract excerpt
Machine learning (ML) has garnered significant attention for its potential to enhance the accuracy of genomic predictions (GPs) in various economic crops with the use of complete genomic information. Genome-wide association studies (GWAS) are widely used to pinpoint trait-related causal variant loci in genomes. However, the simultaneous integration of both methods for crop genome prediction necessitates further...
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