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ABSTRACT: Background
As a photoperiod-sensitive and self-pollinated species, the growth periods traits play important roles in the adaptability and yield of soybean. To examine the genetic architecture of soybean growth periods, we performed a genome-wide association study (GWAS) using a panel of 278 soybean accessions and 34,710 single nucleotide polymorphisms (SNPs) with minor allele frequencies (MAF) higher than 0.04 detected by the specific-locus amplified fragment sequencing (SLAF-seq) with a 6.14-fold average sequencing depth. GWAS was conducted by a compressed mixed linear model (CMLM) involving in both relative kinship and population structure.Results
GWAS revealed that 37 significant SNP peaks associated with soybean flowering time or other growth periods related traits incl
SUBMITTER: Li M
PROVIDER: S-EPMC6916438 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature