Genome-wide association study, genomic prediction and marker-assisted selection for seed weight in soybean (Glycine max).

ABSTRACT:

Key message

Twenty-two loci for soybean SW and candidate genes conditioning seed development were identified; and prediction accuracies of GS and MAS were estimated through cross-validation and validation with unrelated populations. Soybean (Glycine max) is a major crop for plant protein and oil production, and seed weight (SW) is important for yield and quality in food/vegetable uses of soybean. However, our knowledge of genes controlling SW remains limited. To better understand the molecular mechanism underlying the trait and explore marker-based breeding approaches, we conducted a genome-wide association study in a population of 309 soybean germplasm accessions using 31,045 single nucleotide polymorphisms (SNPs), and estimated the prediction accuracy of genomic selection (GS) an

SUBMITTER: Zhang J 

PROVIDER: S-EPMC4703630 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature