インデックス付き
  • 環境研究へのオンライン アクセス (OARE)
  • Jゲートを開く
  • Genamics JournalSeek
  • ジャーナル目次
  • シマゴ
  • ウルリッヒの定期刊行物ディレクトリ
  • Global Online Research in Agriculture (AGORA) へのアクセス
  • 電子ジャーナルライブラリ
  • 国際農業生物科学センター (CABI)
  • レフシーク
  • 研究ジャーナル索引作成ディレクトリ (DRJI)
  • ハムダード大学
  • エブスコ アリゾナ州
  • OCLC-WorldCat
  • 学者の舵取り
  • SWBオンラインカタログ
  • 仮想生物学図書館 (vifabio)
  • パブロン
  • ミアル
  • 大学補助金委員会
  • ユーロパブ
  • Google スカラー
このページをシェアする
ジャーナルチラシ
Flyer image

概要

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.