...
首页> 外文期刊>African Journal of Biotechnology >Univariate stability analysis methods for determining genotype environment interaction of durum wheat grain yield
【24h】

Univariate stability analysis methods for determining genotype environment interaction of durum wheat grain yield

机译:确定硬粒小麦籽粒基因型环境互作的单变量稳定性分析方法

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Twenty two different stability statistics were used for analyzing genotype × environment (GE) interaction of durum wheat experimental data (20 genotypes in 15 environments). Combined analysis of variance indicated that GE interaction significantly influenced genotypes yield. According to type I stability concept, genotypes G7, G9 and G13 were the most stable genotypes, while based on the type II stability concept, genotypes G4 and G15 could be selected as the most favorable genotypes. Also, genotypes G5, G7 and G13 were the most favorable genotypes according to type III stability concept and type IV stability concept which indicated that genotypes G5, G11 and G18 were the most favorable genotypes. Genotypes clustering based on stability properties and mean yield grouped them into three distinct classes. However, superior genotypes are recommended for use by farmers in semi-arid areas. Finally, based on most statistics, mean yield and dynamic concept of stability genotype G13 was stable and favorable and is recommended for national release in rain-fed lands of Iran. Regression method’s slopes, genotypic stability (D2), H statistic and desirability index (DI) which benefit type II and dynamic stability concept, could be recommended for GE interaction studies and yield stability.
机译:利用22种不同的稳定性统计数据分析硬粒小麦试验数据的基因型×环境(GE)相互作用(15个环境中的20种基因型)。变异的综合分析表明,GE相互作用显着影响基因型产量。根据I型稳定性概念,基因型G7,G9和G13是最稳定的基因型,而根据II型稳定性概念,可以选择基因型G4和G15作为最有利的基因型。同样,根据III型稳定性概念和IV型稳定性概念,基因型G5,G7和G13是最有利的基因型,表明基因型G5,G11和G18是最有利的基因型。基于稳定性和平均产量的基因型聚类将它们分为三个不同的类别。但是,建议半干旱地区的农民使用优良的基因型。最后,根据大多数统计数据,稳定基因型G13的平均产量和动态构想是稳定和有利的,建议在伊朗雨育土地上进行全国释放。推荐将回归方法的斜率,基因型稳定性(D2),H统计量和合意指数(DI)应用于II型和动态稳定性概念,可用于GE交互作用研究和产量稳定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号