4.4 Article

Selection of soybean elite cultivars based on phenotypic and genomic characters related to lodging tolerance

期刊

PLANT BREEDING
卷 136, 期 4, 页码 526-538

出版社

WILEY
DOI: 10.1111/pbr.12495

关键词

additive main effects and multiplicative interaction model; genome-wide association analysis; lodging scores; lodging tolerance; soybean

资金

  1. National Key R & D Program for Crop Breeding [2016YFD0100304]
  2. Development of Novel Elite Soybean Cultivars and Lines with High Oil Content [Z161100000916005-06]
  3. Crop Germplasm Resources Protection [2014NWB030, 2015NWB030-05]
  4. Platform of National Crop Germplasm Resources of China [2014-004, 2015-004]
  5. National Key Technology RD Program [2011BAD35B06-2-9]
  6. Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences

向作者/读者索取更多资源

Soybean lodging can result in serious yield reduction. Detecting the quantitative trait loci (QTL) associated with lodging tolerance for their further application in marker-assisted selection (MAS) has the potential to enhance soybean breeding efficiency. In this study, a genome-wide association analysis (GWAS) was performed to identify soybean accessions that could potentially be used to produce lodging-tolerant varieties, based on the comprehensive evaluation of lodging scores (LS) obtained for the parental cultivar Tokachi nagaha and its 137 derived cultivars. Results showed that genotype, environment and genotypexenvironment interaction significantly influenced LS. Of the 31 significant SNPs identified, 22 were consistently detected in two or more environments and 27 SNPs were located in or close to agronomically important QTL mapped by linkage analysis. Best linear unbiased predictors (BLUPs) of LS tend to decrease with the elite alleles contained by accessions increasing. Some excellent accessions, with lower BLUPs and D-i (stability coefficients) values and more elite alleles, were selected. This study contributed to understand the genetic mechanism of lodging, providing genetic and phenotypic information for MAS.

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