...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>American Journal of Plant Biology >Genotype X Environment Interaction and Stability Analysis for Grain Yield of Bread Wheat (Triticum aestivum) Genotypes Under Low Moisture Stress Areas of Ethiopia
【24h】

Genotype X Environment Interaction and Stability Analysis for Grain Yield of Bread Wheat (Triticum aestivum) Genotypes Under Low Moisture Stress Areas of Ethiopia

机译：基因型X环境相互作用及埃塞俄比亚低水分应激区域下面包小麦（Triticum Aestivum）基因型的粮食产量稳定性分析

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A multi-locations' experiments were carried out from 2018 to 2019 main cropping seasons in moisture stress areas of Ethiopia to estimate the genotype x environment interaction and to select stable and adaptable variety/ies for grain yield of bread wheat. The genotypes consisted of 23 genotypes and two standard checks arranged in alpha lattice design replicated three times. Data were taken for agronomic traits and diseases. Analysis of variances and stability analysis were carried out for grain yield using R software. Combined analysis of variance showed a highly significant (p0.01) difference among the genotypes, locations, and GEI for grain yield suggesting a differential response of genotypes across testing environments. The grand mean yield over nine environments was 5251.90 kg ha~(-1) and the mean yield of genotypes across nine environments ranged from 1539.29 kg ha~(-1) in 2018 at Dhera to 7621.87 kg ha~(-1) in 2018 at Kulumsa, respectively. The recorded mean yield of the standard check Deka (5066.543 kg ha~(-1)) and Ogolcho (4018.39 kg ha~(-1)) was below the grand mean yield of genotypes across environments. The Genotypes ETBW 9136 (5731.79 kg ha~(-1)), ETBW 9139 (5844.87 kg ha~(-1)), ETBW 9646 (5754.01 kg ha~(-1)), ETBW9172 (5634.01 kg ha~(-1)), ETBW9641 (5545.03 kg ha~(-1)), ETBW 9080 (5545.31 kg ha~(-1)) and ETBW9396 (5467.04 kg ha~(-1)) gave the highest mean grain yield across environments, whereas the standard check Ogolcho recorded lowest mean grain yield across environments. The first four principal components of the GEI explained 85.6% of the variation. Additive main effects and multiplicative interaction (AMMI) stability parameters revealed that the genotypes ETBW 9080 (G11), ETBW 9172 (G12), ETBW 9646 (G19), ETBW 9396 (G13), ETBW 9452 (G14), ETBW 9136 (G5) and ETBW 9139 (G6) were high yielder and more stable inferring little interaction of genotypes with the environment whereas Ogolcho (G25), ETBW 9119 (G3), ETBW 9647 (G20) and ETBW 9065 (G8) was low yielder and unstable suggesting high interaction with the environments. Based on stability parameters and other agronomic traits, the genotypes viz. ETBW 9396 (G13) and ETBW 9080 (G11), were proposed for variety verification and possible release in 2021.
机译：从2018年到2019年的埃塞俄比亚水分压力区域进行了多个地方的实验，以估计基因型X环境相互作用，并为面包小麦的粮食产量选择稳定和适应品种/ IE。基因型由23种基因型组成，并在alpha格子设计中排列的两个标准检查复制三次。采取了农艺性状和疾病的数据。使用R软件对谷物产量进行差异和稳定性分析。方差的综合分析显示了基因型，地点和Gei之间的高度显着（p0101）差异，用于谷物产量，表明在测试环境中基因型的差异响应。九个环境的盛大平均产量为5251.90公斤〜（-1），九九环境的基因型的平均产量范围为2018年在2018年的达尔拉至7621.87公斤〜（-1）中的1539.29公斤哈〜（-1）在Kulumsa分别。标准检查DEKA的录制平均产量（5066.543 kg ha〜（-1））和ogolcho（4018.39 kg ha〜（-1））低于环境基因型的宏观平均产量。 etbw 9136（5731.79kg ha〜（-1）），Etbw 9646（5754.01 kg ha〜（-1）），Etbw9172（5634.01 kg ha〜（5754.01 kg ha〜 ）），ETBW9641（5545.03 kg〜（-1）），ETBW 9080（5545.31 kg ha〜（-1））和etbw9396（5467.04 kg ha〜（-1））给出了环境的最高均值产量，而标准检查OGOLCHO在环境中记录了最低的平均粒度。 GEI的前四个主要成分解释了85.6％的变异。添加剂主要效果和倍增相互作用（AMMI）稳定性参数显示，基因型ETBW 9080（G11），ETBW 9172（G12），ETBW 9646（G13），ETBW 9396（G13），ETBW 9452（G14），ETBW 9136（G5） ETBW 9139（G6）是高yielder，更稳定的推断基因型与环境的少量相互作用，而Ogolcho（G25），ETBW 9119（G3），ETBW 9647（G20）和ETBW 9065（G8）是低的yielder和不稳定暗示高与环境的互动。基于稳定性参数和其他农艺性状，基因型VIZ。 ETBW 9396（G13）和ETBW 9080（G11）被提出用于2021年的各种核查和可能的释放。

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