Identification of quantitative trait nucleotides and candidate genes for soybean seed weight by multiple models of genome-wide association study.

ABSTRACT:

Background

Seed weight is a complex yield-related trait with a lot of quantitative trait loci (QTL) reported through linkage mapping studies. Integration of QTL from linkage mapping into breeding program is challenging due to numerous limitations, therefore, Genome-wide association study (GWAS) provides more precise location of QTL due to higher resolution and diverse genetic diversity in un-related individuals.

Results

The present study utilized 573 breeding lines population with 61,166 single nucleotide polymorphisms (SNPs) to identify quantitative trait nucleotides (QTNs) and candidate genes for seed weight in Chinese summer-sowing soybean. GWAS was conducted with two single-locus models (SLMs) and six multi-locus models (MLMs). Thirty-nine SNPs were detected by the two S

SUBMITTER: Karikari B 

PROVIDER: S-EPMC7466808 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature