Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies.

ABSTRACT: Genome-wide association studies (GWAS) are effectively applied to detect the marker trait associations (MTAs) using whole genome-wide variants for complex quantitative traits in different crop species. GWAS has been applied in wheat for different quality, biotic and abiotic stresses, and agronomic and yield-related traits. Predictions for marker-trait associations are controlled with the development of better statistical models taking population structure and familial relatedness into account. In this review, we have provided a detailed overview of the importance of association mapping, population design, high-throughput genotyping and phenotyping platforms, advancements in statistical models and multiple threshold comparisons, and recent GWA studies conducted in wheat. The information abo

SUBMITTER: Saini DK 

PROVIDER: S-EPMC10248672 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature