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首页> 外文期刊>Plant molecular biology reporter >Analysis of Quantitative Trait Loci (QTL) for Grain Yield and Agronomic Traits in Wheat (Triticum aestivum L.) Under Normal and Salt-Stress Conditions
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Analysis of Quantitative Trait Loci (QTL) for Grain Yield and Agronomic Traits in Wheat (Triticum aestivum L.) Under Normal and Salt-Stress Conditions

机译:正常和盐胁迫条件下小麦(Triticum aestivum L.)籽粒产量和农艺性状的数量性状位点分析

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摘要

A 179-recombinant inbred line (RIL) population derived from the cross Attila/Kauz x Karchia were evaluated in 10 environments (5 salt-affected and 5 non-salt-affected fields) to identify the quantitative trait loci (QTLs) for grain yield, yield components and agronomic traits. A genetic linkage map included 118 loci, which were composed of 10 microsatellite (simple sequence repeat (SSR)) and 108 diversity arrays technology (DArT) markers, on 9 chromosomes (1A, 1B, 2A, 2B, 3B, 5B, 5D, 6B, 7A). The QTL analysis for each trait was carried out for the data in individual environments. In total, 29 repeatable QTLs were identified across a combination of 10 environments on 9 chromosomes for the 10 evaluated traits, of which 11, 8 and 10 QTLs were associated exclusively with control, saline and both conditions, respectively. Over half of the QTLs for different traits were located on chromosomes 2A, 2B, 3B and 6B. Five repeatable grain yield (GY) QTLs were detected on chromosomes 2B, 5D, 6B and 7A. Among them, the QTL for GY QTLs on chromosomes 2B and 6B was co-located with the QTLs controlling grain number per ear (GNE) and grain weight per ear (GWE). Our results suggest that it may be possible to improve yield stability by combining GY QTLs expressed under contrasting yielding environments. In particular, combining the Karchia alleles on 5D and 6B (QTLs for GY on 5D and 6B accounted for 12.4 and 10.5 % of phenotypic variation explained (PVE) under salt stress, respectively) into wheat genetic backgrounds may increase the yield stability, especially, under saline environments.
机译:在10个环境(5个受盐影响和5个无盐影响的田地)中评估了来自Attila / Kauz x Karchia杂交的179个重组自交系(RIL)种群,以确定谷物产量的数量性状基因座(QTL) ,产量构成和农艺性状。一条遗传连锁图谱包含9个染色体(1A,1B,2A,2B,3B,5B,5D,9个和9个染色体上的118个基因座,这些基因座由10个微卫星(简单序列重复(SSR))和108个多样性阵列技术(DArT)标记组成。 6B,7A)。针对每个特征的QTL分析是在单个环境中进行的。总共,在9个染色体上的10个环境的组合中,针对10个评估的性状,共鉴定出29个可重复的QTL,其中11个,8个和10个QTL分别与对照,生理盐水和两种条件都相关。不同性状的QTL的一半以上位于2A,2B,3B和6B号染色体上。在2B,5D,6B和7A染色体上检测到五个可重复的谷粒产量(GY)QTL。其中,第2B和6B号染色体上的GY QTL的QTL与控制每只耳朵的粒数(GNE)和每只耳朵的谷物重量(GWE)的QTL并置。我们的结果表明,通过组合在相反的产量环境下表达的GY QTL,可能可以提高产量稳定性。特别是,将5D和6B上的Karchia等位基因(5D和6B上的GY的QTL分别占盐胁迫下解释的表型变异(PVE)的12.4和10.5%)与小麦遗传背景结合,尤其可以提高产量稳定性。在盐碱环境下。

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