Genotype-environment interaction and stability of tef [Eragrostis tef (Zucc.) Trotter] varieties in Northeast Ethiopia

Year 2020, Volume: 3 Issue: 4, 239 - 245, 01.10.2020

Fisseha Worede

Abstract

Analyzing Genotype-Environment interaction (GxE) is useful for exploring the opportunities and limiting the drawbacks of the effects. An investigation was conducted on 12 environments (six locations and two years) to study GxE and stability of 18 tef varieties, and to identify desirable environments. The experiment was laid in a randomized complete block design with three replications. The result of AMMI analysis of variance showed that tef grain yield was significantly (P < 0.001) affected by environments (E), genotypes (G) and GxE. Environment, G and GxE explained about 90.23%, 1.03% and 8.74% of the total sum of squares of treatments, respectively. The partitioning of the GxE by AMMI analysis showed that two of the Interaction Principal Component Axes (IPCAs) were highly significant (P < 0.001). The two IPCAs explained 66.06% of the total GxE in grain yield of the tef genotypes. AMMI1 showed that genotypes G and D had small interaction effects. Likewise, environments MR06 and KB07 had the highest interaction effects whereas SR06, KB06, JM06 and JM07 had smaller interaction effects. AMMI2 also showed that environments MR06, KB07 and CH07 exerted higher interaction effects; however, KB06, JM06 and JM07 exerted lower interaction effects. The GGE biplot identified three mega-environments: The first mega-environment is composed of environments Kobo, Jari and SR07 with genotype Tseday as a winner; genotype Ziquala represented the second mega-environment containing Jamma, Chefa and SR06; the third environment, made up of Mersa, was represented by genotype Asgori. Tseday was the most desirable variety; while Mersa was the least desirable environment.

Keywords

Adaptability, AMMI, Eragrostis tef, G x E, GGE, Stability

Supporting Institution

Amhara Regional Agricultural Research Institute (ARARI)

References

• Adugna A. 2007. Assessment of yield stability in sorghum. African Crop Sci J, 15 (2): 83-92.
• Akter A, Hassen JM, Kulsum UM, Islam MR, Hossain K, Rahman MM. 2014. AMMI biplot analysis for stability of grain yield in hybrid rice (Oryza sativa L.). J Rice Res, 2(2): 1-4.
• Almeida FJE, Tardin FD, Daher RF, Barbé TC, Paula CM, Cardoso MJ, Godinho VPC. 2014. Stability and adaptability of grain sorghum hybrids in the off-season. Genet Molec Res, 13 (3): 7626-7635.
• Annicchiarico P. 2002. Defining Adaptation Strategies and Yield-stability Targets in Breeding Programs. In: MS Kang, (ed.), Quantitative Genetics, Genomics and Plant Breeding (pp. 365-383), CABI Publishing.
• Ashamo M, Belay G. 2012. Genotype x Environment interaction analysis of tef grown in southern Ethiopia using Additive Main Effects and Multiplicative Interaction model. J Biol Agri Healthcare, 2(1): 66-72.
• Bantayehu M. 2013. Study on malting barley genotypes under diverse agro-ecologies of North Western Ethiopia. Afr J Plant Sci, 7(11): 548-557.
• Becker HC, Leon J. 1988. Stability analysis in plant breeding. Plant Breed, 101: 1-23.
• Debusho LK, Smith MF, Hundera F. 2006. Stability analysis of grain yield of tef Eragrostis tef using the mixed model approach. S. Afr. Tydskr. Plant Grond, 23(1): 38-42.
• Dessie A, Zewdu Z, Worede F, Bitew M. 2018. Yield stability and agronomic performance of rain fed upland rice genotypes by using GGE bi-plot and AMMI in North West Ethiopia. Inter J Res Rev, 5(9): 123-129.
• Farshadfar E, Mahmodi N, Yaghotipoor A. 2011. AMMI stability value and simultaneous estimation of yield and yield stability in bread wheat (Triticum aestivum L.). Australian J Crop Sci, 5(13):1837-1844.
• Fentie M, Assefa A, Belete K. 2013. AMMI analysis of yield performance and stability of finger millet genotypes across different environments. World J Agri Sci, 9 (3): 231-237.
• Ferede M, Worede F. 2016. Grain yield stability and phenotypic correlation analysis of bread wheat (Triticum aestivum L.) genotypes in north western Ethiopia. Food Sci Quality Manage, 48: 51-59.
• Gauch HG, Zobel RW. 1997. Identifying mega-environments and targeting genotypes. Crop Sci, 37: 311-326.
• Hagos HG, Abay F. 2013. AMMI and GGE biplot analysis of bread wheat genotypes in the northern part of Ethiopia. J Plant Breed Genet, 1: 12-18
• Kefyalew T. 1999. Assessment of genotype x environment interaction for yield and yield related traits in tef [Eragrostis tef (Zucc) Trotter] genotypes. Msc thesis. Alemaya University of Agriculture, Ethiopia.
• Ketema S. 1997. Tef, Eragrostis tef (Zucc) Trotter. Promoting the Conservation and Use of Underutilized and Neglected Crops. 12. Institute of Plant Genetics and Crop Plant Research, Gatersleben/ International Plant Genetic Resources Institute, Rome, Italy.
• Lule D, Fetene M, de Villiers S, Tesfaye K. 2014. Additive Main Effects and Multiplicative Interactions (AMMI) and genotype by environment interaction (GGE) biplot analyses aid selection of high yielding and adapted finger millet varieties. J Appl Biosci, 76: 6291- 6303.
• Mamo M, Worede F, Bezie Y, Assefa S, Gebremariam T. 2018. Adaptability and genotype-environment interaction of finger millet (Eleusine coracana (L.) Gaertn) varieties in North Eastern Ethiopia. Afr J Agric Res, 13(26): 1331-1337.
• Mehari M, Alamerew S, Lakew B. 2014. Genotype x Environment interaction and yield stability of malt barley genotypes evaluated in Tigray, Ethiopia using the AMMI analysis. Asian J Plant Sci, 13: 73-79.
• Mengesha M-H, Pickett RC, Davis RL. 1965. Genetic variability and interrelationship of characters in tef [Eragrostis tef (Zucc.) Trotter]. Crop Sci, 5: 155-157.
• MoANR. 2016. Crop variety register. Issue No. 19. Plant variety release, protection and seed quality control directorate. Addis Ababa, Ethiopia.
• Ouk M, Basnayake J, Tsubo M, Fukai S, Fischer KS, Kang S, Men S, Thun V, Cooper M. 2007. Genotype-by-environment interactions for grain yield associated with water availability at flowering in rainfed lowland rice. Field Crops Res, 101: 145-154.
• Samonte SOPB, Wilson LT, McClung AM, Medley JC. 2005. Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Sci, 45: 2414-2424.
• Spaenij-Dekking L, Kooy-Winkelaar Y, Koning F. 2005. The Ethiopian cereal tef in celiac disease. N Engl J Med, 353: 1748-1749.
• Vavilov NI. 1951. The Origin, Variation Immunity and Breeding of Cultivated Plants. Translated from the Russian by K. Srarrchester, Roland Press, New York.
• Voltas J, Van EF, Igartua E, García del Moral LF, Molina-Cano JL, Romagosa I. 2002. Genotype by environment interaction and adaptation in barley breeding: Basic concepts and methods of analysis. In: GA Slafer, J L Molina-Cano, R Savin, J L Araus, I Romagosa (eds). Barley Science: Recent advances from molecular biology to agronomy of yield and quality (pp. 205-241). The Harworth Press Inc., New York.
• Voltas J, López-Córcoles H, Borrás G. 2005. Use of biplot analysis and factorial regression for the investigation of superior genotypes in multi-environment trials. Europ J Agron, 22: 309-324.
• Worede F, Wondimu S, Shewayirga H. 2007. Performance of tef varieties in moisture stress areas of Welo, Northeast Ethiopia. In: E Abate, A Teshome, A Assefa, M Wale, T Dessalegn and T Tadesse (eds). Proceedings of the 1st Annual Regional Conference on Completed Crop Research Activities. Amhara Regional Agricultural Research Institute (pp. 178-182). Bahir Dar, Ethiopia.
• Yan W. 2002. Singular value partitioning for biplot analysis of multi-environment trial data. Agron J, 94: 990-996.
• Yan W, Rajcan I. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci, 42:11-20.
• Yan W, Tinker NA. 2006. Biplot analysis of multi-environment trial data: Principles and applications. Can J Plant Sci, 86: 623-645.
• Yan W, Hunt LA, Sheng Q, Szlavnics Z. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci, 40:597-605.