African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6842

Article in Press

Genotype by Environment Interaction and Seed yield stability Study of Ethiopian Sesame (Sesamum indicum L.) genotypes in Western Oromia

Feyera Takele, Alemeyehu Dhabessa, Solomon Bekele, Chemeda Daba, Adane Arega, Teshome Gutu and Chala Debela

  •  Received: 21 November 2022
  •  Accepted: 17 February 2023
Sesame (Sesamum indicum L.) is an important oil crop in the world. A significant genotype by environmental interaction (GEI) presents challenges in the selection of superior genotypes. The objective of this study was to identify stable and high yielding sesame genotypes. Accordingly, 16 sesame genotypes were evaluated in a randomized complete block design at six distinct environments. All important data were collected and analyzed using SAS. Most of the analyzed traits showed highly significant differences for genotypes, location and GxE interaction, which indicated that the presence of genetic variability among tested genotypes across environments. Stability analysis was estimated by AMMI model and GGe-biplots. AMMI analysis of variance revealed highly significant (P<0.01) variations among environments, genotypes, GxE interaction, and four-interaction principal component analysis (IPCA).The first four-interaction principal component analysis (IPCA1, IPCA2, IPCA3, and IPCA4) showed high, significant and contributed 56.3%, 23.9%, 11.3% and 2.3% of the total genotype by environment interaction respectively. Genotypes G15 and G4 had higher with close to concentric circles indicating the wide adaptability over the tested environments and similar agro ecology. In addition, the genotypes showed bacterial blight resistant in western parts of Ethiopia and hence selected as potential candidates for possible release in the study area.

Keywords: Sesame genotypes, Seed yield and Stability, GE interaction, AMMI analysis, GGE biplot