African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6848

Article in Press

Genotype x Environment Interaction and Seed Yield Stability of Linseed (Linum usitatissimum L.) Genotypes in North, Central and Southeast Ethiopia

Tadesse Ghiday, Wassu Mohamed, Yemane Tsehaye, Adugna Wakjira, Chemeda Daba and Teasfaye Disasa

  •  Received: 18 September 2023
  •  Accepted: 28 November 2023
Lack of suitable varieties that exhibit stable yield performances across wide ranges of environments is the major factor among several production constraints contributing to low productivity of linseed in Ethiopia. Thirteen linseed genotypes were planted in Randomized Complete Block Design with three replications at six linseed major growing agro-ecologies of Northern, central and Southeastern Ethiopia (Werabe, D\Markos, Welkite, Holeta, Kulumsa and Adiet) in 2021/2022 cropping season. With the objectives of determining the effects of GEI, on seed yield of linseed and identifying better performing and well adapted linseed genotypes than the control variety, and to prepare for registration and release of selected high yielding genotypes in the different linseed agro-environment conditions of Ethiopia. The yield subjected to the combined analysis of variance showed a highly significant (p<0.01) effect of genotype, location, and genotype x location interactions (GEI). Similarly the combined AMMI ANOVA for seed yield revealed that there were highly significant differences among genotypes, locations and genotype by location interactions and accounted 23.25%, 48.98% and 27.77% of the total variations respectively. The highest percentages of environmental variations are an indication that environment is the major factor that influences the yield performance of linseed yield in Ethiopia. In addition, the first two IPCAs were significant and accounted for 75.46% of the total interactions sum squares. Using different stability analysis approach the following more stable genotypes were identified. Genotypes 239716 (G7), 10103 (G3) and check variety (Berene) (G13) were more stable by Eberhart and Russell analysis. Genotypes 10097 (G2), 239716 (G7) and 10103 (G3) were more stable by AMMI Stability Value. Genotypes 208360 (G8) was selected as better genotypes that appeared in the five locations by AMMI analysis. According to one year data, the six locations are grouped into three mega environment for linseed production with one winning genotype 208360 (G8) and was an ideal genotype, while location Adiet was an ideal environment by GGE analysis. Therefore, based on one year data, linseed genotypes 208360 (G8), 234005 (G4), 233996 (G5), 239716 (G7) and 10103 (G3) are the five of the best performing genotypes than the other genotypes and control varieties (Berene) (G13) in seed yield across locations and those the five highest yielder genotypes have a potential to be registered in Ethiopia. However, this trail need to be repeated for one more season, and or five of the best performing genotypes will be verified along with the checks on farmers' fields for release.

Keywords: Linseed, Stability, GGE biplot, AMMI analysis