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Genotype by Environment Interaction and Grain Yield Stability Analysis for Bread Wheat (Triticum Aestivum L.) Genotypes in Southern Ethiopia
Abstract
The productivity of bread wheat varieties affected by many factors including the agro-ecology of the growing area. It is important to test the adaptability and yields of released varieties in multi-location for their productivity. This study was designed to evaluate the yield potential and stability of bread wheat varieties across locations. A total of fourteen recently released bread wheat varieties were evaluated during 2019 and 2020 main cropping seasons at three locations. A Randomized Complete Block Design (RCBD) with three replications were used for the experiment. The gross plot area was 3m2 (2.5m X 1.2m) and each plot consisted of six rows spaced 20cm apart. Based on the analysis of variance genotypes (G), environments (E) and their interaction (GEI) were highly significant for many of the traits considered including grain yield. The highest average grain yield 3720 kg/ha was recorded from Wane variety while the smallest 2590 kg/ha was recorded from Dereselegn variety. The first two principal component axes (PC1) and (PC2) of the AMMI model explained 63.78 % and 26% respectively. Thus, these two axes accounted for 89.77 % of the total G x E interaction sum of squares for grain yield. Based on the two analyses AMMI and GGE-biplot models, Biqa and wane, characterized by high yield and stability, the Biqa close to ideal genotype, so this variety is adaptable for a wide range while kakaba genotype provided high yield but not stable thus it was adapted to specific environment. Bulluk and Dereselegn genotypes were exhibited a lower score for both yield and stability. It was moreover suggested that the evaluation of wheat genotypes for grain yield under multi- locations should be carried out to exploit more yield potential.
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References
Najafi, A., 2014. Wheat production price performance prediction in the Iranian north province. African Journal of Agricultural Research, 9(1), pp.74-79.
Falola, A., Achem, B.A., Oloyede, W.O. and Olawuyi, G.O., 2017. Determinants of commercial production of wheat in Nigeria: A case study of Bakura Local Government Area, Zamfara State.
Minot, N., 2015. Agricultural production in Ethiopia: Results of the 2012 ATA baseline survey.
CSA. (2012). Agricultural sample survey report on area and production of major crops (Private peasant holdings, Meher season 2011/2012 (2005 E.C.). The FDRE statistical bulletin, Volume VII.
Matouš, P., Todo, Y. and Mojo, D., 2013. Roles of extension and ethno-religious networks in acceptance of resource-conserving agriculture among Ethiopian farmers. International Journal of Agricultural Sustainability, 11(4), pp.301-316.
Demeke, M. and Di Marcantonio, F., 2013. Analysis of incentives and disincentives for teff in Ethiopia (Technical Notes Series). Rome: MAFAP, FAO.
Rashid, S. and Minot, N., 2010. Are staple food markets in Africa efficient? Spatial price analyses and beyond (No. 1093-2016-87814).
Nigussie, A., Kedir, A., Adisu, A., Belay, G., Gebrie, D. and Desalegn, K., 2015. Bread wheat production in small scale irrigation users agro-pastoral households in Ethiopia: Case of Afar and Oromia regional state. Journal of Development and Agricultural Economics, 7(4), pp.123-130.
Cooper, M., Byth, D.E. and Hammer, G.L., 1996. Understanding plant adaptation to achieve systematic applied crop improvement–a fundamental challenge. Plant adaptation and crop improvement, pp.5-23.
Bernardo, R., 2002. Breeding for quantitative traits in plants (Vol. 1, p. 369). Woodbury: Stemma press.
Hallauer, A.R. and Miranda, J.B., 1988. Quantitative genetics in maize breeding 2nd edition. Iowa State University press, Ames Iowa USA.
Ceccarelli, S., 1989. Wide adaptation: How wide?. Euphytica, 40(3), pp.197-205.
Kang, M.S., 1997. Using genotype-by-environment interaction for crop cultivar development. In Advances in agronomy (Vol. 62, pp. 199-252). Academic Press.
Zerga, K., Mekbib, F. and Dessalegn, T., 2017. The Mean Performance of Different Bread Wheat (Triticum Aestivum. L) Genotypes in Gurage Zone, Ethiopia. Landscape Architecture and Regional Planning, 2(1), pp.29-35.
CHIMDESA BEKANA, O.B.S.A., 2014. GENETIC VARIABILITY AMONG BREAD WHEAT (Triticum aestivum L.) GENOTYPES FOR GROWTH CHARACTERS, YIELD AND YIELD COMPONENTS IN BORE DISTRICT, OROMIA REGIONAL STATE (Doctoral dissertation, Haramaya University).
Adhiena Mesele (2015). Genetic variability and association among seed yield and yield related traits in bread wheat (Triticum aestivum L.) Genotypes at Ofla District, Northern Ethiopia. M.Sc. Thesis, Haramaya University, Haramaya, Ethiopia.
Nzuve, F., Githiri, S., Mukunya, D.M. and Gethi, J., 2013. Analysis of genotype x environment interaction for grain yield in maize hybrids.
Kumar, P. and Singh, N.K., 2015. Determining behaviour of maize genotypes and growing environments using AMMI statistics. SAARC Journal of Agriculture, 13(1), pp.162-173.
Miah, M.A., Ahmed, S. and Uddin, M.S., 2016. Assessment of yield stability of maize inbred lines in multi-environment trials. Bangladesh Journal of Scientific and Industrial Research, 51(1), pp.61-68.
Yan, W. and Holland, J.B., 2010. A heritability-adjusted GGE biplot for test environment evaluation. Euphytica, 171(3), pp.355-369.
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