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Association mapping for important biotic & abiotic related traits in structured wheat population.

机译:结构化小麦群体中重要的生物和非生物相关性状的关联图。

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摘要

This study was carried out in two successive seasons; 2009/2010 and 2010/2011 using two F3:6 nurseries. The first nursery contained 276 lines and two local checks genotyped using 1925 polymorphic DArT markers, while the second nursery consisted of 278 lines plus the same local checks and genotyped using 2236 polymorphic DArT markers. The nurseries were phenotyped in six to nine environments in Nebraska. The purpose of the study was to i) determine the breadth of the genetic base of the F3:6 nurseries that we currently use in our selection process ii) apply association-mapping approaches to identify DArT markers associated with important traits in F3:6 wheat populations iii) applying genomic selection methods in our breeding program.;The results showed that the F3:6 populations had sufficient genetic diversity that would make the selection effective in improving the population productivity and adaptability to Nebraska environmental condition.;As for the second objective we applied different statistical methods to identify markers that have significant correlation with the yield, grain volume weight, disease resistance, plant height and maturity. We have been successful in identifying potential QTL s for these traits. Some of the QTLs have been published, others are novel QTLs.;The comparison of the prediction accuracy for phenotypic selection with that from genomic selection indicated that GS were 94, 64, 84, 85 and 79% as accurate as Ps for grain yield, grain volume weight, plant height, anthesis date and leaf rust, respectively. We concluded that, when factors such as heritability, relative costs of genotyping versus field evaluation, and the number of cycles of selection per year are taken into account, the efficiency of GS becomes favorable in comparison with phenotypic selection.
机译:这项研究是连续两个季节进行的。 2009/2010和2010/2011,使用两个F3:6苗圃。第一个苗圃包含276个品系和两个使用1925个多态性DArT标记进行基因分型的地方检查,而第二个苗圃包括278个品系加上相同的局部检查并使用2236个多态性DArT标记进行基因分型。在内布拉斯加州的六至九个环境中对苗圃进行了表型分析。该研究的目的是:i)确定我们目前在选择过程中使用的F3:6苗圃遗传基础的广度ii)应用关联映射方法来鉴定与F3:6小麦重要性状相关的DArT标记种群iii)在我们的育种计划中应用基因组选择方法。结果表明F3:6种群具有足够的遗传多样性,这将使选择有效提高种群生产率和对内布拉斯加州环境条件的适应性。我们采用了不同的统计方法来识别与产量,籽粒体积重量,抗病性,植物高度和成熟度显着相关的标记。我们已经成功地确定了这些特征的潜在QTL。表型选择的预测准确性与基因组选择的预测准确性比较表明,GS的产量分别为Ps的94、64、84、85和79%,粒重,株高,花期和叶锈。我们得出的结论是,考虑到遗传力,基因分型与实地评估的相对成本以及每年的选择周期数等因素,与表型选择相比,GS的效率变得更高。

著录项

  • 作者

    El-basyoni, Ibrahim Salah.;

  • 作者单位

    The University of Nebraska - Lincoln.;

  • 授予单位 The University of Nebraska - Lincoln.;
  • 学科 Agriculture Agronomy.;Agriculture Plant Culture.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 127 p.
  • 总页数 127
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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