索引于
  • 在线访问环境研究 (OARE)
  • 打开 J 门
  • Genamics 期刊搜索
  • 期刊目录
  • 西马戈
  • 乌尔里希的期刊目录
  • 访问全球在线农业研究 (AGORA)
  • 电子期刊图书馆
  • 国际农业与生物科学中心 (CABI)
  • 参考搜索
  • 研究期刊索引目录 (DRJI)
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-WorldCat
  • 学者指导
  • SWB 在线目录
  • 虚拟生物学图书馆 (vifabio)
  • 普布隆斯
  • 米亚尔
  • 大学教育资助委员会
  • 欧洲酒吧
  • 谷歌学术
分享此页面
期刊传单
Flyer image

抽象的

Stability Performance of Bread Wheat (Triticum aestivum L.) Genotype for Yield and Yield Components in Oromia, Ethiopia

Berhanu Sime*, Shimelis Tesfaye

The study of GEI has assumed great importance in genotype testing programs because yield performance of a genotype is a result of the interaction between the genotype and environment. The study cried out with objectives to determine the effect of genotype, environment, and GEI on yield and yield components and to identify stable genotype. Twenty five bread wheat genotypes were evaluated by Alpha Lattice using three replications at six locations in Oromia, Ethiopia. Combined analysis of variance showed very highly significant differences (P<0.01) among environments and among genotypes. Genotype’s contribution to variation of some of the traits is equal or more than 30% except NGLS and GY. The contributions of environment to the total sum of squares of treatment is very high for GY and lower for NSLS, NGS, NGSL and TKW traits. Comparatively, contribution of G × E to the total sum of squares of treatment is moderate for NSLS (50.19%), NGSL (52.96%) and TKW (42.93%); relatively lower for NGS (28.32%) and very low proportion to GY (10.4). The biplot of AMMI revealed clear insight into the specific and general adaptation of genotypes across locations. The AMMI biplot, which accounted for 88GY, 72.88TKW, 73.41NGS, 73.67NGSL and 74.19NSLS of the G × E interaction, provides the interaction principal component scores of the 1st and 2nd IPCA. High grain yield was harvested from the advanced genotype ETBW9089 and lowest from ETBW9313.