首页> 外文期刊>Plant Breeding >Selection of soybean elite cultivars based on phenotypic and genomic characters related to lodging tolerance
【24h】

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

机译:基于表型和基因组特征的大豆精英品种选择与宽容耐受性相关

获取原文
获取原文并翻译 | 示例
           

摘要

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.
机译:大豆住宿会导致严重的产量减少。检测与在标记辅助选择(MAS)中进一步应用的耐受性耐受性相关的定量性状基因座(QTL)具有增强大豆育种效率的可能性。在该研究中,进行了基因组 - 宽的关联分析(GWAs)以鉴定大豆载体,这些分析可以基于对父母品种Tokachi Nagaha和Genkachi Nagaha的综合评价来产生耐携带的耐候品种。它的137种衍生品种。结果表明,基因型,环境和基因型过环境相互作用显着影响LS。在鉴定的31个重要的SNP中,在两个或更多个环境中始终检测到22个,并且27个SNPS位于或接近通过连锁分析映射的农艺学重要的QTL。 LS的最佳线性非偏见预测器(BLUP)往往会随着所附的精英等位基因而增加。选择了一些优异的放牧,选择了较低的弹簧和D-I(稳定系数)值和更多的精英等位基因。本研究有助于了解住宿的遗传机制,为MAS提供遗传和表型信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号