Unraveling the genetic architecture of major agronomic traits and population structure in common vetch through whole-genome analysis
Domain:
agricultureRecord type:
dataset
Creator:
SidZamBolMaa
Host:
Genetic diversity and population structure were explored in 289 accessions of common vetch (Vicia sativa) using GBS and phenotyping for 17 traits across Spain, Morocco, and Lebanon (2021–2023). ADMIXTURE and DAPC analyses identified ten genetic groups, revealing discrepancies with botanical classifications. GWAS with 320,000 SNPs (FarmCPU and BLINK) detected 654 trait-associated SNPs, including exonic variants linked to flowering time and pleiotropic SNPs on chromosome 2 associated with multiple traits. KASP markers were developed for promising variants. This study provides a foundation for environment-specific marker-assisted selection and breeding of higher-yielding, resilient vetch varieties.
Keywords: Vicia sativa, genetic architecture, population structure, GWAS, SNP, marker-assisted selection
Similar
Additional file 6: Table S2. of Whole genome population genetics analysis of Sudanese goats identifies regions harboring genes associated with major traitsGenome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maizeGenome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassavaPopulation structure and genetic diversity analyses of common bean germplasm collections of East and Southern Africa using morphological traits and high-density SNP markersGenetic Variability and Population Structure of Ethiopian Sesame (Sesamum Indicum L.) Germplasm Assessed Through Phenotypic Traits and Simple Sequence Repeats MarkersGenetic Variability of Agronomic Traits as Potential Indicators of Drought Tolerance in Common Beans (<i>Phaseolus vulgaris</i> L.)