Journal of Agricultural Science and Engineering
Articles Information
Journal of Agricultural Science and Engineering, Vol.7, No.1, Mar. 2021, Pub. Date: Apr. 16, 2021
Stability Models for Selecting Adaptable and Stable Bread Wheat (Tritium aestivum L.) Varieties for Grain Yield in Ethiopia
Pages: 14-22 Views: 634 Downloads: 253
Authors
[01] Gadisa Alemu, Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Asella, Ethiopia.
[02] Negash Geleta, Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Asella, Ethiopia.
[03] Alemu Dabi, Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Asella, Ethiopia.
[04] Abebe Delessa, Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Asella, Ethiopia.
[05] Tefasse Solomon, Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Asella, Ethiopia.
[06] Rut Duga, Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Asella, Ethiopia.
Abstract
Grain yield of bread Wheat (Triticum aestivum L.) is a polygenic inherited trait and its expression is highly determined by environment. In Ethiopia a number of bread wheat varieties have been released for production but their specific or general adaptions were not clearly known. Moreover, due to dynamic nature of climate, evaluation of varieties for recent performances are crucial to select and recommend best commercial varieties. Hence, the objectives of study were to evaluate the released bread wheat varieties for their adaptability and stability over wider environments and to select and recommend the best varieties for production. Fifteen bread wheat varieties were evaluated across twenty-one environments in Ethiopia during 2017 cropping season. The varieties were arranged in Randomized Complete Block Design replicated three times. Data were taken for grain yield, plant height and thousand kernel weight. The varieties were evaluated for their adaptability and stability using different models. AMMI analysis was carried out using R software. The combined analysis of variance showed that highly significant differences (P≤0.001) were observed for grain yield among the genotypes, environments and genotype-environment interaction indicating the crossover nature of the varieties performances in different environments. The environment sum of squares dominated the total variations even though the interaction sum square was larger than genotypic sum square. The contribution of environments was 74.17%, indicating large differences in environments and the average grain yield for the environments ranged from 1.29 t/ha for Env-16 (Alemtena) to 5.66 t/ha for Env-4 (Asasa). The contribution of the varieties and GEI was 8.61% and 17.22% respectively to the total variation. Highest mean grain yield was obtained from variety Sanate (3.66 t/ha) followed by the variety Biqa (3.47 t/ha) while the lowest mean grain yield was obtained from the variety Hulluka (1.85 t/ha). The different stability parameters (ASV, YSI, regression model, etc.) identified the variety Obora and Shorima as stable and adaptable varieties and they can be widely cultivated while, Hulluka and Kingbird were unstable varieties.
Keywords
Adaptability, Bread Wheat, Ethiopia, GEI, Grain Yield, Stability Parameters
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