首页> 外文期刊>Theoretical and Applied Genetics: International Journal of Breeding Research and Cell Genetics >Genetic dissection of grain yield in bread wheat. II. QTL-by-environment interaction
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Genetic dissection of grain yield in bread wheat. II. QTL-by-environment interaction

机译:面包小麦籽粒产量的遗传解剖。二。 QTL与环境的交互

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The grain yield of wheat is influenced by genotype, environment and genotype-by-environment interaction. A mapping population consisting of 182 doubled haploid progeny derived from a cross between the southern Australian varieties 'Trident' and 'Molineux', was used to characterise the interaction of previously mapped grain yield quantitative trait locus (QTL) with specific environmental covariables. Environments (17) used for grain yield assessment were characterised for latitude, rainfall, various temperature-based variables and stripe rust infection severity. The number of days in the growing season in which the maximum temperature exceeded 30 degrees C was identified as the variable with the largest effect on site mean grain yield. However, the greatest QTL-by-environmental covariable interactions were observed with the severity of stripe rust infection. The rust resistance allele at the Lr37/Sr38/Yr17 locus had the greatest positive effect on grain yield when an environment experienced a combination of high-stripe rust infection and cool days. The grain yield QTL, QGyld.agt-4D, showed a very similar QTL-by-environment covariable interaction pattern to the Lr37/Sr38/Yr17 locus, suggesting a possible role in rust resistance or tolerance. Another putative grain yield per se QTL, QGyld.agt-1B, displayed interactions with the quantity of winter and spring rainfall, the number of days in which the maximum temperature exceeded 30 degrees C, and the number of days with a minimum temperature below 10 degrees C. However, no cross-over interaction effect was observed for this locus, and the 'Molineux' allele remained associated with higher grain yield in response to all environmental covariables. The results presented here confirm that QGyld.agt-1B may be a prime candidate for marker-assisted selection for improved grain yield and wide adaptation in wheat. The benefit of analysing the interaction of QTL and environmental covariables, such as employed here, is discussed.
机译:小麦的籽粒产量受基因型,环境和基因型-环境相互作用的影响。测绘种群由来自澳大利亚南部品种“ Trident”和“ Molineux”之间杂交的182个双倍单倍体后代组成,用于表征先前测绘的谷物产量定量性状位点(QTL)与特定环境协变量的相互作用。根据纬度,降雨量,各种基于温度的变量和条锈病感染的严重程度,对用于谷物产量评估的环境(17)进行了表征。最高温度超过30摄氏度的生长期中的天数被确定为对平均谷物产量影响最大的变量。然而,随着条锈病感染的严重性,观察到最大的QTL-按环境协变量相互作用。当环境经历高条纹锈感染和阴凉天气的组合时,Lr37 / Sr38 / Yr17基因座的抗锈等位基因对谷物产量具有最大的正效应。谷物产量QTL QGyld.agt-4D与Lr37 / Sr38 / Yr17基因座显示出非常相似的QTL-按环境协变量相互作用模式,表明在抗锈性或耐性中可能发挥作用。另一个推定的谷物单产QTL QGyld.agt-1B表现出与冬季和春季降雨量,最高温度超过30摄氏度的天数以及最低温度低于10天的天数之间的相互作用然而,没有观察到该基因座的交叉相互作用效应,并且“ Molineux”等位基因仍然响应于所有环境协变量而与较高的谷物产量相关。此处给出的结果证实,QGyld.agt-1B可能是标记辅助选择的主要候选者,以提高小麦的籽粒产量和广泛的适应性。讨论了分析QTL和环境协变量(如此处使用)之间的关系的好处。

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