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Mapping quantitative trait loci for bread making quality and agronomic traits in winter wheat under different soil moisture levels.

机译:绘制不同土壤水分条件下冬小麦面包品质和农艺性状的数量性状基因座。

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摘要

Drought is a major abiotic stress that affects wheat (Triticum aestivum L.) production in many regions of the world. Identifying quantitative trait loci (QTL) controlling important traits such as quality and yield components in winter wheat under reduced soil moisture may help develop cultivars improved for those traits. Our main objective was to identify QTL affecting quality and agronomic traits under fully irrigated and reduced soil moisture conditions.;A population of 185 doubled haploid (DH) lines derived from a cross between CO940610 and 'Platte' was grown in replicated field trials in Fort Collins and Greeley, Colorado, USA in 2007-08 and 2008-09. At each location, two side-by-side trials were planted; one trial was grown under moderate moisture stress ("dry") and one under fully irrigated ("wet") conditions, for a total of four environments. Fifteen quality traits were evaluated under both irrigation treatments: mixograph parameters, single kernel characteristics, polyphenol oxidase activity, and flour color. Seventeen agronomic traits comprising phenological parameters, morphological traits, yield and yield components, pre-harvest sprouting, normalized difference vegetation index, and drought susceptibility index were evaluated.;Moderate to high heritability estimates were observed for most of the quality traits, indicating that a large part of the expression of these traits is genetically controlled. Heritability of yield-related traits was low to moderate indicating the greater effect of environmental conditions on these traits. Moisture stress affected most of the quality and agronomic traits. Grain yield was reduced by 795.8 kg ha-1 (21.4%) at Fort Collins, and by 704.0 kg ha-1 (18.7%) at Greeley in the dry treatments. All kernel characteristics (kernel weight, kernel diameter, and kernel hardness), test weight, and grain protein concentration had higher mean values ( P0.05) under limited irrigation compared to the full irrigation treatments in both years. Thirty-one linkage groups spanning 2,083 cM and covering the 21 chromosomes were constructed from 221 microsatellite, diversity array technology, sequence-tagged-site, and protein markers. The composite interval mapping option of QTL Cartographer software was used in a genome-wide scan to estimate the location and effect of QTL associated with the evaluated traits. A total of 251 QTL were identified on 25 linkage groups representing 19 chromosomes. Individually, the QTL explained from 3.7 to 68.4% of the phenotypic variation, and when combined in multiple-locus models for a given trait and environment, they accounted for up to 73.8% of the phenotypic variation. Regions on chromosomes 1A, 2B, 6A, 7B, and 7D contained QTL for multiple traits. The QTL clusters on linkage groups 2B.1 and 7D.2 seem likely to coincide with the photoperiod response gene Ppd-B1 and vernalization locus Vrn-D3 . Genomic regions on chromosomes 1AL, 1BL, 1DL, and 7BS contained QTLs for multiple bread making quality traits. The 1AL, 1BL, and 1DL QTL most likely indicate the effects of the Glu-A1, Glu-B1, and Glu-D1 loci. The 7BS QTL region may reflect a novel quality locus or loci. The co-localization of QTL for multiple quality traits suggests that the effects may be due to pleiotropy.;Distribution of QTL for quality traits was relatively balanced between irrigation treatments; 67 QTL (54.7%) were detected under full irrigation and 56 QTL (45.5%) were identified under limited irrigation. For agronomic traits, 64 QTL (50.0%) were detected under full irrigation and 62 (48.4%) under limited irrigation. In general, the same QTL for most of the quality and agronomic traits were detected in both soil moisture levels. This indicates that the same set of genes controls these traits regardless of the degree of moisture, at least within the range of moisture sampled in this study. This finding is convenient for wheat breeders, who do not need to modify their selection schemes based on the moisture stress of target environments. Colocalized QTL for grain yield in the dry treatment and drought susceptibility index were identified on chromosomes 5B and 7B at Greeley. These regions deserve additional attention to determine the basis of these drought-adaptive traits.;After validation, the identified QTL may facilitate marker assisted breeding strategies or high resolution mapping leading to map-based cloning for the benefit of winter wheat breeding programs.
机译:干旱是一种主要的非生物胁迫,影响世界许多地区的小麦(Triticum aestivum L.)生产。在土壤水分减少的情况下,确定控制重要性状(如品质和产量构成部分)的定量性状基因位点(QTL)可能有助于开发改良后的性状。我们的主要目的是确定在完全灌溉和减少土壤湿度的条件下影响品质和农艺性状的QTL .;在Fort进行的重复田间试验中种植了185个来自CO940610和'Platte'之间杂交的双倍单倍体(DH)系Collins和Greeley,美国科罗拉多州,分别于2007-08年和2008-09年。在每个地点都进行了两个并排试验。一项试验在中等湿度(“干”)条件下进行,另一项在完全灌溉(“湿”)条件下进行,共四个环境。在两种灌溉处理下评估了十五个品质性状:混合参数,单仁特性,多酚氧化酶活性和面粉颜色。评价了17个农艺性状,包括物候参数,形态性状,产量和产量组成,收获前的发芽,归一化差异植被指数和干旱敏感性指数。;对大多数品质性状均观察到中等至高的遗传力估计,表明这些特征的大部分表达是遗传控制的。与产量相关的性状的遗传力较低至中等,表明环境条件对这些性状的影响更大。水分胁迫影响了大多数品质和农艺性状。在干法处理中,柯林斯堡的谷物单产降低了795.8 kg ha-1(21.4%),而格里利的谷物单产降低了704.0 kg ha-1(18.7%)。与完全灌溉处理相比,在两年内,所有灌溉条件下的所有籽粒特性(籽粒重量,籽粒直径和籽粒硬度),测试重量和谷物蛋白浓度均具有较高的平均值(P <0.05)。由221个微卫星,多样性阵列技术,序列标记位点和蛋白质标记构建了21个染色体,涵盖了2083个cM的31个连锁基团。在全基因组扫描中使用了QTL Cartographer软件的复合区间作图选项,以估计与评估性状相关的QTL的位置和作用。在代表19条染色体的25个连锁组上共鉴定了251个QTL。单独地,QTL解释了表型变异的3.7%至68.4%,并且在给定性状和环境的多位点模型中组合时,它们占表型变异的73.8%。染色体1A,2B,6A,7B和7D上的区域包含多个性状的QTL。连锁群2B.1和7D.2上的QTL簇似乎与光周期反应基因Ppd-B1和春化基因座Vrn-D3一致。 1AL,1BL,1DL和7BS染色体上的基因组区域包含多个面包品质特征的QTL。 1AL,1BL和1DL QTL最有可能表明Glu-A1,Glu-B1和Glu-D1基因座的作用。 7BS QTL区域可能反映了一个新颖的质量位点或基因座。 QTL在多个品质性状上的共定位表明,其影响可能是由于多效性所致。灌溉处理之间QTL对品质性状的分布相对平衡;在完全灌溉下检测到67个QTL(54.7%),在有限灌溉下检测到56个QTL(45.5%)。对于农艺性状,在完全灌溉下检出64个QTL(50.0%),在有限灌溉下检出62个(48.4%)。通常,在两种土壤水分含量中都检测到了大多数品质和农艺性状的相同QTL。这表明,无论水分含量如何,至少在本研究采样的水分范围内,同一组基因控制这些性状。这一发现对小麦育种者是方便的,他们无需根据目标环境的水分胁迫对其选择方案进行修改。在格里利(Greeley)的5B和7B号染色体上鉴定了干处理和干旱敏感性指数的共定位QTL。这些区域值得进一步注意,以确定这些干旱适应性状的基础。验证后,确定的QTL可能有助于标记辅助育种策略或高分辨率作图,从而导致基于图的克隆,以利于冬小麦育种计划。

著录项

  • 作者单位

    Colorado State University.;

  • 授予单位 Colorado State University.;
  • 学科 Agriculture Agronomy.;Agriculture Plant Culture.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 223 p.
  • 总页数 223
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:34

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