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首页> 美国卫生研究院文献>Physiology and Molecular Biology of Plants >Mapping QTLs for physiological and biochemical traits related to grain yield under control and terminal heat stress conditions in bread wheat (Triticum aestivum L.)
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Mapping QTLs for physiological and biochemical traits related to grain yield under control and terminal heat stress conditions in bread wheat (Triticum aestivum L.)

机译：调控小麦和终热胁迫条件下与籽粒产量相关的生理生化性状的QTL定位（Triticum aestivum L.）

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In order to detect genomic regions with different effects for some of the physiological and biochemical traits of wheat, four experiments were conducted at Research Farm of Agricultural and Natural Resources Research Center of Zabol in 2015–2016 and 2016–2017 growing seasons. The experiments were carried out using four alpha lattice designs with two replications under non-stress and terminal heat stress conditions. Plant materials used in this study included 167 recombinant inbred lines and their parents (‘SeriM82’ and ‘Babax’). Six traits including grain yield (GY), proline content (PRO), water soluble carbohydrates (WSC), maximum efficiency of photosystem II (Fv/Fm), cytoplasmic membrane stability (CMS) and chlorophyll content (CHL) were evaluated. Genetic linkage map consisted of 211 AFLP marker, 120 SSR marker and 144 DArT markers with 1864 cm length and 4.4 cm mean distance. QTL analysis was carried out using a mixed-model-based composite interval mapping (MCIM) method. By the combined analysis of normal phenotypic values, 27 additive QTLs and five pairs of epistatic effects were identified for studied traits, among which two additive and one epistatic QTL showed significant QTL × environment interactions. By the combined analysis of stress phenotypic values, a total of 26 QTLs with additive effects and 5 epistatic QTLs were detected, among which one additive and one epistatic QTL showed QTL × environment interactions. Six QTLs with major effects (QGY-2B, QGY-2D, QPro-5B, QWSC-4A, QFv/Fm-6A and QCMS-4B), which were common between two conditions could be useful for marker-assisted selection (MAS) in order to develop heat tolerant and high-performance wheat varieties.Electronic supplementary materialThe online version of this article (10.1007/s12298-018-0590-8) contains supplementary material, which is available to authorized users.
机译：为了检测对小麦的某些生理和生化特性具有不同影响的基因组区域，在2015–2016年和2016–2017年生长季节，在扎博尔农业和自然资源研究中心进行了四个实验。实验是在非应力和终端热应力条件下使用四个具有两个重复的alpha晶格设计进行的。该研究中使用的植物材料包括167个重组自交系及其亲本（“ SeriM82”和“ Babax”）。评价了六个性状，包括谷物产量（GY），脯氨酸含量（PRO），水溶性碳水化合物（WSC），光系统II的最大效率（Fv / Fm），细胞质膜稳定性（CMS）和叶绿素含量（CHL）。遗传连锁图谱由211个AFLP标记，120个SSR标记和144个DArT标记组成，长度为1864厘米，平均距离为4.4厘米。使用基于混合模型的复合区间映射（MCIM）方法进行QTL分析。通过正常表型值的综合分析，确定了27个加性QTL和5对上位性效应用于研究性状，其中两个加性和一个上位性QTL表现出显着的QTL×环境相互作用。通过对应激表型值的综合分析，共检测到26个具有加性效应的QTL和5个上位性QTL，其中1个加性和1个上位性QTL表现出QTL×环境相互作用。六个主要影响因素（QGY-2B，QGY-2D，QPro-5B，QWSC-4A，QFv / Fm-6A和QCMS-4B）在两个条件之间很常见，可用于标记辅助选择（MAS）电子辅助材料本文的在线版本（10.1007 / s12298-018-0590-8）包含辅助材料，授权用户可以使用。

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