Genotype x Environment and Stability Analysis of Oil Content in Sesame (Sesamum indicum L.) Evaluated Across Diverse Agro-ecologies of the Awash Valleys in Ethiopia
Mohammed Abate, Firew Mekbib, Amsalu Ayana, Mandefro Nigussie
Journal of Experimental Agriculture International · pp. 1–12 · Published 26 Jul 2015
10.9734/AJEA/2015/18482Abstract
Aim: To estimate the nature and magnitude of GEI interaction for oil content in sesame varieties and to identify stable and promising varieties for general and specific adaptations across the areas of the Awash valleys in Ethiopia. Study Design: Entries were planted in a randomized complete block design (RCBD) replicated thrice in each location and year. Place and Duration of Study: The study was conducted at Assaita, Melkassa and Werer representing the Lower, Upper and Middle Awash valleys of Ethiopia respectively, during the 2010/11 main cropping season and 2011/12 off season. Methodology: Morphological data taken from each environment were analyzed for combined analysis of variance, Additive Main Effects and Multiplicative Interaction (AMMI), Biplot analysis, AMMI Stability Value (ASV), and regression analysis. Finally, ranking of genotypes was done based on the overall results of all stability indices. Results: Combined analysis of variance showed highly significant (P<0.01) difference between the varieties, environments and GEI, suggesting differential response of varieties across testing environments and the need for stability analysis. Proportion of variance captured by environments was 1.43%, genotypes 91.5% and GEI 7.1% of the total variation, indicating less effect of environments on oil content as compared to the effect of genotypes. Stability analysis by AMMI and Joint-regression model were used to further shed light on the GEI of oil content. Two IPCA of AMMI were significant (P<0.01) and captured the largest portion of variation of the total GEI, which indicated that the AMMI model was the best for the data set. The Joint regression analysis indicated that the linear regression (bi) did not deviate from unity for all varieties, suggesting that performance of the cultivars could not be predicted in a linear manner. Conclusion: The influence of environment is less prominent in the manifestation of oil content along the areas of Awash valleys. Season two is the best environment for growing the present set of genotypes for oil content. Variety Adi was identified as the most stable variety across environments for oil content. This variety can be recommended for varied environments of the Awash valleys to exploit its yield potential. The rest high yielder varieties, Serkamo, Tate and Argene can be adapted only under favorable environmental conditions
Cited by 5
nafiseh mahdi nezhad, Morvarid Rezaei Nia, Nafiseh Mahdi Nezhad · SSRN Electronic Journal · 2022
Hossein Zeinalzadeh-Tabrizi, Horticultural and Crops Research Department, Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Moghan, Iran, Sadollah Mansouri · Plant Genetic Researches · 2021
Belay Fantaye, Mekbib Firew, Tadesse Taye · Open Journal of Plant Science · 2021
Davood Roodi, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Mashhad, Iran, Gholamreza Ghodrati · Journal of Crop Breeding · 2022
Showing 4 of 5 known citations — external sources report more than can currently be individually listed.
Related research
- Assessment of Genetic Stability of Medium Slender Rice Genotypes for Yield Traits using AMMI Model and GGE biplot Methodology over Different Locations of Karnataka — shares topic coverage
- Deciphering the Genotype × Environment Interaction for Identification of Superior Genotypes of Mango (Mangifera indica L.) using Ammi Stability Measures — shares topic coverage
- Study the Seed and Oil Yield Stability of Sunflower Hybrids across Environments — shares topic coverage
- Evaluation of Phenotypic Stability for Grain Yield in Rice (Oryza sativa L.) Genotypes Using AMMI and GGE Biplot Models — shares topic coverage
- AMMI Determination of Stability for Oil and Protein Content in Soybean (Glycine max L. Merrill) Seed in Zambia — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
5
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.