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Genetic Evaluation and AMMI Analysis for Salinity Tolerance in Diverse Wheat Germplasm

机译:小麦种质耐盐性的遗传评价和AMMI分析

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摘要

Soil salinity is one of the major environmental constraints in increasing agricultural crop production, especially wheat production in India. Screening of diverse germplasm in representative growing conditions is prerequisite for exploring traits with stable expression imparting salinity tolerance. A study was undertaken during 2011–2012 for characterizing wheat germplasm in three environments representing growing conditions of crop in Northern parts of India, estimating inter-relationship among traits and evaluating stability of trait conferring salinity tolerance. Significant value of mean square for observed trait across the environments signified presence of large variability in genotypes. Significant yield reduction was recorded in almost all genotypes in saline environment compared to non-saline condition. Ratio of potassium and sodium ion in leaf tissue (KNA); a key salt tolerance traits was found to be significantly correlated with biomass, SPAD value and plant height. Due to the presence of significant genotype × environment interaction (G × E) for KNA, additive main effect and multiplicative interaction (AMMI) model was utilized to study stability of KNA among genotypes and environments. IPCA1 and IPCA2 were found to be significant and explained more than 99 per cent of variation due to G × E. KRICHAUFF was having maximum trait value with specific adaptation while DUCULA 4 and KRL 19 were having general adaptability. AMMI2 biplot revealed high stability of Kharchia 65 and KRL 99 across environments. E (timely sown, non-saline soil) recorded maximum site mean while E (timely sown, sodic soil) was having minimum interaction with genotypes (AMMI1 = 1.383). Thus, our studies suggest that AMMI model is also useful for estimating adaptability of traits other than yield utilized for breeding salt tolerant wheat varieties.
机译:土壤盐分是增加农业作物产量,特别是印度小麦产量的主要环境限制之一。在具有代表性的生长条件下筛选各种种质是探索具有稳定表达并赋予盐耐性的性状的前提。 2011-2012年进行了一项研究,以表征代表印度北部作物生长条件的三种环境中的小麦种质,估算性状之间的相互关系并评估赋予耐盐性的性状的稳定性。在整个环境中观察到的性状的均方值显着,表明基因型存在较大的变异性。与非盐条件相比,盐环境中几乎所有基因型的单产均显着降低。叶片组织中钾离子和钠离子的比例(KNA);发现关键的耐盐性状与生物量,SPAD值和株高显着相关。由于KNA存在显着的基因型×环境相互作用(G×E),因此利用加性主效应和乘性相互作用(AMMI)模型来研究KNA在基因型和环境之间的稳定性。发现IPCA1和IPCA2具有重要意义,并解释了超过99%的变异是由G×E引起的。KRICHAUFF具有最大的特征值,具有特定的适应性,而DUCULA 4和KRL 19具有一般的适应性。 AMMI2双线图显示了Kharchia 65和KRL 99在整个环境中的高度稳定性。 E(及时播种的非盐渍土)记录的最大部位均值,而E(及时播种的碱土)与基因型的相互作用最小(AMMI1 = 1.383)。因此,我们的研究表明,AMMI模型也可用于估算除育种耐盐小麦品种的产量以外的其他性状的适应性。

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