中国P站

Abstract

Genome-wide association studies GWAS are pivotal in plant genetics for identifying genetic variants linked to complex traits and diseases. Advances in high-throughput technologies and statistical methods have accelerated the discovery of genes controlling key agronomic traits like yield, stress tolerance, and nutritional content. Integration of multi-omics data and machine learning enhances understanding of genotype-phenotype relationships, aiding marker-assisted breeding. GWAS have been successfully applied across various crops, including rice, *Arabidopsis*, maize, soybean, wheat, tomato, common bean, and chickpea, to dissect traits such as yield, salinity tolerance, flowering time, disease resistance, seed oil content, drought tolerance, salt tolerance, nitrogen fixation, and heavy metal accumulation. These studies provide crucial genetic insights for developing improved, resilient, and safer crop varieties, supporting sustainable agriculture

Keywords: Genome-Wide Association Study脥戮 Plant Genetics脥戮 Agronomic Traits脥戮 Crop Improvement脥戮 Stress Tolerance脥戮 Marker-Assisted Breeding脥戮 Genotype-Phenotype Relationships脥戮 High-Throughput Genotyping脥戮 Multi-omics Data脥戮 Machine Learning