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首页> 外文期刊>Egyptian Journal of Agronomy >Parametric Statistical Methods for Evaluating Barley Genotypes in Multi-environment Trials
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Parametric Statistical Methods for Evaluating Barley Genotypes in Multi-environment Trials

机译:在多环境试验中评估大麦基因型的参数统计方法

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THE CURRENT study aimed at assessing twelve genotypes of barley in a randomized complete blocks design with 3 replications across 8 environments (the combinations of 2 years x 2 locations x 2 sowing dates) during 2008/2009-2009/2010 seasons in Egypt.Significant differences were observed among barley genotypes for heading date, grain filling, number of spike/m2, spike length, thousand grain weight and grain yield (ardab/fed). Combined analysis of variance of grain yield of twelve genotypes tested ineight environments showed highly significant (p<0.01) differences between the genotypes, between environments and for GEI, of all traits under study, suggesting differential response of genotypes across testing environments and the validity of stabilityanalysis. To quantify yield stability, six parametric stability statistics were calculated (bj , S2di , Rj2, Wj2, S2i and CVj). According to the stability parameters, for grain yield of barley genotypes, the results revealed that genotypes Giza 123, Giza129, Giza 127, G4, G2, G6 and G8 were more stable genotypes for 7, 7, 7, 5, 4, 4 and 4 out of all 7 stability statistics used, respectively. Thus, these genotypes would be considered to be more stable than others for these statistics. This implies therefore that there genotypes are of low contribution to the genotypic by environment interaction. These genotypes may be utilized as donor parents for stability in barley improvement programs, and could be recommended to be as commercial stable high yielding cultivars. Highly significant rank correlations coefficient were found among S2di, W2i and R2 implying their close similarity and effectiveness in detecting stable genotypes and they are equivalent in measuring stability. Hence any one of these parameters could be used to describe genotypes stability. Our results showed that high-yielding genotypes can differ in yield stability, and suggest that yield stability and high grain yield are not mutually exclusive.
机译:这项最新研究旨在评估埃及在2008 / 2009-2009 / 2010季节中,在8个环境(2年x 2个地点x 2个播种日期的组合)中进行3次复制的随机完整块设计中的12种大麦基因型。在大麦基因型中观察到抽穗期,籽粒充实,穗数/平方米,穗长,千粒重和谷物产量(ardab /进食)。结合分析的十二种基因型在八种不同环境下的粮食产量方差分析表明,在研究的所有性状之间,环境之间以及GEI的基因型之间,基因型之间存在极显着(p <0.01)的差异,这表明基因型在测试环境中的差异性以及稳定性分析。为了量化产量稳定性,计算了六个参数稳定性统计数据(bj,S2di,Rj2,Wj2,S2i和CVj)。根据稳定性参数,对于大麦基因型的籽粒产量,结果显示基因型Giza 123,Giza129,Giza 127,G4,G2,G6和G8是7、7、7、5、4、4和7的更稳定的基因型。在使用的所有7种稳定性统计数据中,分别有4种。因此,对于这些统计数据,这些基因型将被认为比其他基因型更稳定。因此,这暗示着基因型通过环境相互作用对基因型的贡献很小。这些基因型可被用作大麦改良计划中稳定性的供体亲本,并可能被推荐作为商业稳定的高产品种。在S2di,W2i和R2之间发现高度显着的秩相关系数,这表明它们在检测稳定基因型方面非常相似且有效,并且在测量稳定性方面等效。因此,这些参数中的任何一个都可以用来描述基因型的稳定性。我们的结果表明,高产基因型在产量稳定性上可能不同,并且表明产量稳定性和高谷物产量并非互斥的。

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