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首页> 外文期刊>Russian Journal of Plant Physiology >QTL Identification and Mapping in Soft Spring Wheat (Triticum aestivum L.) under Controlled Agroecological and Biological Testing Area Conditions with and without Nitrogen Fertilizer
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QTL Identification and Mapping in Soft Spring Wheat (Triticum aestivum L.) under Controlled Agroecological and Biological Testing Area Conditions with and without Nitrogen Fertilizer

机译:QTL鉴定和在软春小麦(Triticum aestivum L.)的鉴定和映射在受控的农生和生物检测面积条件下,具有和不含氮肥的情况下

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摘要

Quantitative trait loci (QTL) of agriculturally valuable traits of soft spring wheat (Triticum aestivum L.) were mapped in two simultaneous and independent experiments that were carried out in different agronomical backgrounds with respect to nitrogen availability (i.e., with and without introduction of a mineral nitrogen fertilizer) in order to reveal the effects of physiological and genetic interaction between the genotype and the environment. In total, 94 QTLs, which determine 31 physiologically and agriculturally important traits, have been identified. The connection between the loci identified and polymorphism by certain traits has been proven. The connection between the trait expression and introduction of the fertilizer has been confirmed by both correlation analysis and the single-factor analysis of variance. The analyses of QTL and correlation, as well as the single-factor analysis of variance, showed that 15 of 31 traits varied confidently. This shows that the expression of these traits depends on the presence of nitrogen nutrition. The data obtained are important for further study of physiological and genetic regulatory mechanisms of expression of the traits that were evaluated in the system of interaction between the genotype and the environment as well as for the marker-assisted selection of wheat.
机译:在不同的农艺背景的同时和独立的实验中映射到不同的农艺背景(即没有引入A.矿物氮肥)为了揭示基因型与环境之间生理和遗传相互作用的影响。总共确定了94个QTL,其确定了31个生理学和农业上重要的特征。已经证明了某些特征所识别的基因座和多态性之间的连接。特征表达与肥料引入之间的连接已经通过相关性分析和异常单一分析分析来证实。 QTL和相关性的分析以及方差的单因素分析表明,31个特征中的15个自信地变化。这表明这些性状的表达取决于氮营养的存在。所获得的数据对于进一步研究在基因型与环境之间的相互作用体系中评估的特征的生理和遗传调节机制以及用于辅助选择小麦的性状的生理和遗传调节机制。

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