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Dissecting drought tolerance in winter wheat using phenotypic and genetic analyses of agronomic and spectral traits.

机译:利用农艺和光谱性状的表型和遗传分析剖析冬小麦的耐旱性。

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摘要

Worldwide, wheat (Triticum aestivum L.) is cultivated on more land than any other food crop. In 2013 wheat was grown on more than 220 million hectares worldwide, which is a larger area than the entirety of Mexico. Part of the global success of wheat can be attributed to its adaptability to diverse environmental conditions, including regions with limited water availability.;The United States is the largest exporter of wheat, and in recent years has exported 20--30% or more of its total production. Much of the wheat grown in the United States is cultivated under rainfed conditions, including regions across the Great Plains that are primarily planted to hard winter wheat. However, grain yield can be severely affected by water stress, and future climate projections predict drought will become more frequent and more severe. Therefore, it is important to characterize drought response and better understand genetic variation and genetic mechanisms of drought tolerance in winter wheat present in the U.S. Great Plains hard winter wheat.;This study used a collection of 299 hard winter wheat entries, designated the Triticeae Coordinated Agricultural Project Hard Winter Wheat Association Mapping Panel (HWWAMP), representative historic lines, recent cultivars, and experimental breeding lines present across the U.S. Great Plains. The entries were evaluated at a total of 11 Great Plains environments during 2011--2012 and 2012--2013. These environments include four Colorado environments (paired water-stressed and non-stressed treatments in Greeley in 2011--2012 and Fort Collins in 2012--2013) with detailed phenotypic data for many agronomic traits, and seven environments in other states with data limited to heading date and grain yield.;The objectives of this study were to 1) determine allelic variation present in major developmental genes known to affect the timing of the developmental sequence and therefore adaptability, and estimate the effects of variants on heading date; 2) estimate the extent of variation and phenotypic plasticity of heading date in a range of environments representative of the U.S. Great Plains; 3) evaluate effects of water stress on grain yield and other agronomic traits, and identify underlying genomic regions affecting these drought responses, using side-by-side water-stressed and well-watered environments grown in two years; and 4) evaluate the effectiveness of water-based spectral indices calculated from hyper-spectral canopy reflectance measurements to characterize drought stress in the field.;In wheat and other small grain cereals, heading refers to the developmental stage where the spike has fully emerged from the flag leaf sheath. Heading date reflects genotypic 'earliness' and is important for regional adaptability of wheat. At heading, the developing spikelets and their sensitive reproductive structures become more exposed to changing environmental conditions, such as periods of cold, heat, or drought stress. Stress at heading and anthesis (which follows several days later) can have severe effects on grain yield.;The developmental sequence, including heading date, is affected by the vernalization and photoperiod pathways. Semi-dwarf alleles at the reduced-height genes also have an effect on the timing of plant development. We genotyped candidate genes at vernalization (Vrn-A1, Vrn-B1, and Vrn-D1), photoperiod (Ppd-B1 and Ppd-D1 ), and reduced-height (Rht-B1 and Rht-D1 ) loci using polymerase chain reaction (PCR) and Kompetitive Allele Specific PCR (KASP) assays. The main effects and two-way interactions of alleles at these loci explained an average of 44% of variation in heading date across nine environments. Most of the variation was explained by Ppd-B1, Ppd-D1, and their interaction. The photoperiod sensitive and insensitive alleles were present in our germplasm in large proportions for both Ppd-B1 and Ppd-D1, however, the sensitive alleles have been decreasing over time and are more common in germplasm from the northern than central or southern regions of the U.S. Great Plains.;There was significant (P < 0.001) genotype-by-environment interaction for heading date and growing degree-days to heading among all 11 environments. Phenotypic plasticity describes the range of possible phenotypes observed for one genotype, given different environmental conditions. We estimated phenotypic plasticity of growing degree-days to heading (GDDP) and yield for each entry, and found there was variation in our germplasm for both. We found GDDP to be negatively associated with yield (r=-0.58, P<0.001), and thus detrimental in the germplasm and environments evaluated. Greater yield plasticity was associated with increased maximum (r=0.80, P <0.001) and minimum ( r=0.33, P<0.001) grain yield across environments, indicating it was a favorable trait. Over time GDDP has decreased and yield plasticity has increased, which suggests these are possible traits that could be targeted for selection.;In the Colorado environments, grain yield was reduced by similar amounts under water stress in 2011--2012 (48%) and 2012--2013 (46%), even though water stress occurred during different periods of the two growing seasons. In 2011--2012 stress occurred before anthesis and primarily reduced grain yield by limiting biomass and tillering, and producing fewer total spikelets, fewer fertile spikelets, and fewer kernels per spike. In 2012--2013 stress occurred during grain filling and affected yield primarily by reducing kernel size. We conducted genome-wide association studies on agronomic traits in individual environments, and combined across different combinations of environments, and detected nearly 250 significant marker--trait associations for 15 agronomic traits. Most significant marker--trait associations were only detected for a single trait in one environment, had modest allelic effects, and explained a small proportion of total phenotypic variation. However, associations for kernel number explained up to 29% of variation in one environment, and associations for the proportion of fertile spikelets were stable across multiple environments.;We measured canopy spectral reflectance using a hyper-spectral radiometer in 2012--2013 and calculated spectral indices previously shown to be associated with plant water status. There was substantial spatial--temporal variation across each sampling date, which contributed to a lack of significant differences in index values among genotypes. However, values of normalized water indices 1 (NWI-1), 3 (NWI-3), and 4 (NWI-4) varied gradually among developmental stages. Changes in index values were especially pronounced under water stress, when the most extreme values coincided with the period of most water stress.;In summary, there is substantial variation for agronomic and phenological traits that affect drought tolerance or susceptibility. Variation in the timing of developmental stages, such as heading date, can confer regional adaptability. Introducing additional allelic diversity at photoperiod loci could enable finer adaptation under current or future climate scenarios. Alternatively, selecting for reduced GDDP and/or increased grain yield plasticity could result in greater yields under varying environmental conditions. We did not find evidence supporting use of canopy spectral reflectance as a selection tool, but spectral traits might be useful to monitor changes in plant water status, especially if sources of spatial and temporal variation are reduced, such as by using a sensor with an active light source or taking simultaneous estimates from an aerial vehicle.
机译:在世界范围内,小麦(Triticum aestivum L.)的耕种面积比其他任何粮食作物都多。 2013年,全球小麦种植面积超过2.2亿公顷,面积超过整个墨西哥州。小麦在全球范围内取得成功的部分原因可以归功于其对各种环境条件的适应性,包括水资源有限的地区。美国是最大的小麦出口国,近年来出口了20--30%或更多的小麦它的总产量。美国种植的大部分小麦都是在雨养条件下种植的,包括大平原地区主要种植硬冬小麦的地区。但是,水分压力会严重影响谷物的产量,未来的气候预测表明干旱将更加频繁和严重。因此,重要的是表征干旱响应并更好地了解美国大平原硬冬小麦中冬小麦的遗传变异和耐旱性的遗传机制。;本研究使用了299个硬冬小麦条目的集合,命名为Triticeae Coordinated农业项目“硬冬小麦协会制图小组”(HWWAMP),具有代表性的历史系,最近的品种以及美国大平原上存在的实验育种系。在2011--2012年和2012--2013年期间,共对11个大平原环境进行了评估。这些环境包括四个科罗拉多环境(2011--2012年在格里利(Greeley)和2012--2013年在柯林斯堡(Fort Collins)进行的水胁迫和非胁迫处理的配对),其中包含许多农艺性状的详细表型数据,以及其他州的七个环境,数据有限本研究的目的是:1)确定已知主要发育基因中存在的等位基因变异,这些基因已知会影响发育序列的时间安排并因此影响适应性,并评估变体对归巢日期的影响; 2)在代表美国大平原的一系列环境中估算抽穗期的变异程度和表型可塑性; 3)利用两年来并排的水分胁迫和灌溉良好的环境,评估水分胁迫对谷物产量和其他农艺性状的影响,并确定影响这些干旱反应的潜在基因组区域; 4)评估通过高光谱冠层反射率测量结果计算得出的水基光谱指数来表征田间干旱胁迫的有效性。旗叶鞘。抽穗期反映了基因型“早期”,对小麦的区域适应性很重要。在前进的过程中,发育中的小穗及其敏感的生殖结构更容易受到变化的环境条件的影响,例如寒冷,高温或干旱胁迫的时期。抽穗期和花期(几天后)的胁迫可能对谷物产量产生严重影响。春化和光周期途径影响了抽穗期等发育顺序。高度降低的基因上的半矮等位基因也对植物发育的时间有影响。我们使用聚合酶链式反应在春季(Vrn-A1,Vrn-B1和Vrn-D1),光周期(Ppd-B1和Ppd-D1)和高度降低的基因座(Rht-B1和Rht-D1)位点对候选基因进行基因分型。 (PCR)和竞争性等位基因特异性PCR(KASP)分析。在这些基因座上,等位基因的主要作用和双向相互作用解释了九个环境中平均抽穗期变化的44%。 Ppd-B1,Ppd-D1及其相互作用解释了大多数变化。 Ppd-B1和Ppd-D1的光周期敏感和不敏感等位基因大量存在于我们的种质中,但是,随着时间的流逝,敏感等位基因逐渐减少,在北部的种质中比中部或南部地区更为常见。美国大平原。;在所有11个环境中,抽穗期和抽穗日数的增长程度均显着(P <0.001)。表型可塑性描述了在不同的环境条件下,一种基因型可能观察到的表型范围。我们估算了每个条目的抽穗至生长天数(GDDP)的表型可塑性(GDDP)和产量,发现我们的种质都存在差异。我们发现GDDP与产量负相关(r = -0.58,P <0.001),因此对所评估的种质和环境有害。较高的产量可塑性与整个环境中最高(r = 0.80,P <0.001)和最低(r = 0.33,P <0.001)的籽粒产量相关,表明这是一个有利的性状。随着时间的流逝,GDDP下降,产量可塑性提高,这表明这些是可能要选择的性状。在科罗拉多州的环境中,即使在水分胁迫下,2011--2012年(48%)和2012--2013年(46%)的谷物单产下降了相似的量,甚至虽然在两个生长季节的不同时期发生了水分胁迫。在2011--2012年,花期前发生了胁迫,主要是通过限制生物量和分primarily来降低谷物产量,并产生更少的总小穗,更少的可育小穗和更少的穗粒。在2012--2013年,籽粒灌浆过程中出现了压力,主要通过减少籽粒大小影响了产量。我们对单个环境中的农艺性状进行了全基因组关联研究,并在不同的环境组合中进行了组合,并针对15个农艺性状检测了近250个重要的标记-性状关联。仅在一个环境中针对单个性状检测到最显着的标志物-性状关联,具有中等等位基因效应,并解释了总表型变异的一小部分。但是,与内核数的关联可以解释一个环境中多达29%的变化,并且在多个环境中与可育小穗比例的关联在多个环境中都是稳定的;我们在2012--2013年使用高光谱辐射计测量了冠层光谱反射率,并计算出以前显示的光谱指数与植物水分状况有关。每个采样日期之间存在很大的时空变化,这导致基因型之间的指标值缺乏显着差异。但是,标准化水指数1(NWI-1),3(NWI-3)和4(NWI-4)的值在发育阶段之间逐渐变化。当最极端的值与大多数水分胁迫的时期相吻合时,指数值的变化在水分胁迫下尤为明显。总而言之,影响干旱耐受性或敏感性的农艺和物候特性存在很大差异。发展阶段时间的变化,例如前进日期,可以赋予区域适应性。在光周期基因座上引入其他等位基因多样性可以在当前或未来的气候情景下实现更好的适应性。可替代地,选择降低的GDDP和/或增加的谷物产量可塑性可以在变化的环境条件下导致更高的产量。我们没有找到支持使用冠层光谱反射率作为选择工具的证据,但是光谱特征可能对监测植物水状态的变化很有用,尤其是在减少空间和时间变化源的情况下,例如通过使用带有有源传感器的传感器。光源或从飞行器上同时进行估算。

著录项

  • 作者

    Grogan, Sarah Marie.;

  • 作者单位

    Colorado State University.;

  • 授予单位 Colorado State University.;
  • 学科 Plant sciences.;Agriculture.;Biology.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 256 p.
  • 总页数 256
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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