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首页> 外文期刊>Cereal Research Communications >Multi-environment Analysis of Grain Quality Traits in Recombinant Inbred Lines of a Biparental Cross in Bread Wheat (Triticum aestivum L.)
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Multi-environment Analysis of Grain Quality Traits in Recombinant Inbred Lines of a Biparental Cross in Bread Wheat (Triticum aestivum L.)

机译:面包小麦重组近交线籽粒质量特征的多环境分析(Triticum Aestivum L.)

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摘要

A set of 286 recombinant inbred lines (RILs) along with the parents and a popular wheat variety in India were grown for two consecutive years at three locations belonging to the two major wheat growing zones of India and evaluated for four grain quality traits. Rare recombinants with high trait value appeared for protein content (PC), thousand-kernel weight (TKW), sedimentation value (SV), and kernel hardness (KH). The magnitude of environmental effects was more pronounced than genotypic effects and genotype-environment interaction (GEI). The cumulative contribution of environment and GEI components to the total variance was highest in the expression of PC followed by TKW, SV, and KH. The top five percent (14 RILs) of genotypes with high trait value were subjected to Eberhart and Russell (1966) (ER), genotype and genotype-environment (GGE) and additive main effects and multiplicative interaction (AMMI) stability models. Five RILs were identified as stable in all the three stability models. RIL61 with 38.8%, RIL101 with 8.9%, RIL226 with 26.1% superiority over check variety were the most stable genotypes in all the three stability models for PC, TKW and KH, respectively. RIL113 was found to be stable genotype in ER and GGE models, whereas, RIL231 was the most stable genotype in AMMI and GGE models in the expression of SV. These common stable genotypes with high trait value identified through ER, AMMI and GGE models could be potential donors in active breeding programs to develop high yielding wheat varieties with improved PC, TKW, SV and KH.
机译:在三个属于印度的两个主要小麦生长区域的三个地点连续两个年度连续两年和印度的一系列286个重组近交系(RIL)以及印度的流行小麦品种。具有高特征值的稀有重组剂出现蛋白质含量(PC),千核重量(TKW),沉降值(SV)和核硬度(KH)。环境效应的大小比基因型效应和基因型 - 环境相互作用(GEI)更加明显。在PC的表达之后,环境和GEI组件对总方差的累积贡献最高,然后是TKW,SV和KH。具有高特征价值的前五百分之五(14个ril)对Eberhart和Russell(1966)(ER),基因型和基因型环境(GGE)和添加剂主要效应和乘法相互作用(AMMI)稳定性模型进行了巨大的基因型。在所有三种稳定性模型中被确定为稳定的五个ril。 RIL61具有38.8%,RIL101,RIL226,RIL226,在PC,TKW和KH的所有三种稳定性模型中,HIL226具有26.1%的优势。发现RIL113在ER和GGE模型中是稳定的基因型,而RIL231是在SV表达中的AMMI和GGE模型中最稳定的基因型。这些常见的稳定基因型具有通过ER,AMMI和GGE模型确定的高分性价值,可以是积极育种计划中的潜在供体,以开发高产小麦品种,具有改善的PC,TKW,SV和KH。

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