首页> 外文期刊>The Plant Genome >Establishment and Optimization of Genomic Selection to Accelerate the Domestication and Improvement of Intermediate Wheatgrass
【24h】

Establishment and Optimization of Genomic Selection to Accelerate the Domestication and Improvement of Intermediate Wheatgrass

机译:建立和优化基因组选择以加快中级小麦草的驯化和改良

获取原文
           

摘要

Intermediate wheatgrass (IWG) is a perennial species and has edible and nutritious grain and desirable agronomic traits, including large seed size, high grain yield, and biomass. It also has the potential to provide ecosystem services and an economic return to farmers. However, because of its allohexaploidy and self-incompatibility, developing molecular markers for genetic analysis and molecular breeding has been challenging. In the present study, using genotyping-by-sequencing (GBS) technology, 3436 genome-wide markers discovered in a biparental population with 178 genets, were mapped to 21 linkage groups (LG) corresponding to 21 chromosomes of IWG. Genomic prediction models were developed using 3883 markers discovered in a breeding population containing 1126 representative genets from 58 half-sib families. High predictive ability was observed for seven agronomic traits using cross-validation, ranging from 0.46 for biomass to 0.67 for seed weight. Optimization results indicated that 8 to 10 genets from each half-sib family can form a good training population to predict the breeding value of their siblings, and 1600 genome-wide markers are adequate to capture the genetic variation in the current breeding population for genomic selection. Thus, with the advances in sequencing-based marker technologies, it was practical to perform molecular genetic analysis and molecular breeding on a new and challenging species like IWG, and genomic selection could increase the efficiency of recurrent selection and accelerate the domestication and improvement of IWG.
机译:中级小麦草(IWG)是多年生物种,具有可食用且营养丰富的谷物,并且具有理想的农艺性状,包括大种子尺寸,高谷物产量和生物量。它还具有为农民提供生态系统服务和经济回报的潜力。然而,由于其同种六倍体性和自身不相容性,开发用于遗传分析和分子育种的分子标记一直具有挑战性。在本研究中,使用测序基因分型(GBS)技术,将在具有178个基因的双亲种群中发现的3436个全基因组标记定位到对应于IWG 21条染色体的21个连锁组(LG)。利用在来自58个半同胞家族的1126个代表性种的育种种群中发现的3883个标记开发了基因组预测模型。使用交叉验证对七个农艺性状具有很高的预测能力,从生物量的0.46到种子重量的0.67不等。优化结果表明,每个半同胞家庭的8至10个基因可以组成一个训练有素的种群,以预测其兄弟姐妹的育种价值,并且1600个全基因组标记足以捕获当前育种种群的遗传变异以进行基因组选择。 。因此,随着基于测序的标记技术的发展,对新的具有挑战性的物种(如IWG)进行分子遗传分析和分子育种是可行的,而基因组选择可以提高重复选择的效率并加速IWG的驯化和改良。

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