Volume 3, Issue 3, September 2018, Page: 35-39
Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia
Tadele Tadesse, Oromia Agriculture Research Institute, Sinana Agriculture Research Center, Bale-Robe, Ethiopia
Gashaw Sefera, Oromia Agriculture Research Institute, Sinana Agriculture Research Center, Bale-Robe, Ethiopia
Belay Asmare, Oromia Agriculture Research Institute, Sinana Agriculture Research Center, Bale-Robe, Ethiopia
Amanuel Teklaign, Oromia Agriculture Research Institute, Sinana Agriculture Research Center, Bale-Robe, Ethiopia
Received: Sep. 3, 2018;       Accepted: Sep. 17, 2018;       Published: Oct. 24, 2018
DOI: 10.11648/j.cbe.20180303.13      View  153      Downloads  7
In order to identify the agronomic performance and yield stability of the large red bean genotypes, sixteen large red bean genotypes were evaluated in the midlands of bale zone at Goro, Ginir and Dellomena for two consecutive years 2016 and 2017 main cropping season. The genotypes were arranged in randomized complete block design with four replications having plot size of 6.4m2 (4 rows at 40cm spacing and 4m long). The analysis of variance revealed that highly significant variation for environment, genotypes and year X Location, whereas GEI (Genotypes by Environment interaction) showed significant variation for mean grain yield. Of the total sum squares of variation observed, 38.33% was accounted for environment followed by genotypes 11.53% and GEI 4.51%. The significant effect of GE interaction reflected on the differential response of genotypes in various environments and demonstrated that GE interaction had remarkable effect on genotypic performance in different environments. The application of AMMI model for partitioning the GE interaction effects showed that only the first two terms of AMMI were significant. In the AMMI analysis, out of the total GEI variation observed, the first AMMI explained 78.28% of the variation whereas 21.72% was accounted for the AMMI2. A combination of high grain yield potential, stabilityparameter of regression coefficient of unity and minimum deviation mean squares from regression identifies G4 as moderately stable genotype with high grain yield deserved to be promoted for possible release as commercial variety for the midlands of Bale zone and similar agro-ecologies.
AMMI, Common Bean, GEI, Stability, Variation
To cite this article
Tadele Tadesse, Gashaw Sefera, Belay Asmare, Amanuel Teklaign, Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia, Chemical and Biomolecular Engineering. Vol. 3, No. 3, 2018, pp. 35-39. doi: 10.11648/j.cbe.20180303.13
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Ecocrop, 2013. Ecocrop database. FAO, Rome, Italy.
Annicchiarico, P. 1992. Cultivar adaptation and recommendation from alfafa trials in Northern Italy. Journal of Genetics and Plant Breeding, 46 pp.269-278.
Beebe S, Gonzalez AV, Rengifo J. 2000. Research on trace minerals in the common bean. Food Nutr. Bull., 21: 387-391.
Carbonell SA, Filho JA, Dias LA, Garcia AA, and Morais LK. 2004. Common bean cultivars and lines interactions with environments. Sci. Agric. (Piracicaba, Braz.) 61(2), 169–177.
Crossa J, Fox PN, Pfeiffer WH, Rajaram S, and Gauch HG. 1991. AMMI adjustment for statistical analysis of an international wheat yield trial. Theor. Appl. Genet 81:27-37.
Cruz CD, Regazzi AJ, Carneiro PCS. 2004. Modelos Biométricos Aplicados Ao Melhoramento Genético. 3. ed. Viçosa: Editora UFV. v.1, 480p.
Amir AM, Nadali BJ, andKamal K. 2013. Environmental Responses and Stability Analysis for Grain Yield of Some Rice Genotypes. World Applied Sciences Journal 21 (1): 105-108, 2013.
Farshadfar E and Sutka J. 2003. Locating QTLs controlling adaptation in wheat using AMMI model. Cereal Res Commun 31: 249-254.
Gauch HG. 1992. Statistical Analysis of Regional Yield Trials: AMMI Analysis of Factorial Designs. Amsterdam, the Netherlands: Elsevier.
Gauch HG and ZobelRW . 1996. AMMI Analysis of Yield Trials. In: Kang MS, Gauch HG (eds) Genotype by environment Ineraction. CRC Press. Boca Raton, FL.
Gonzales AM, Rodino AP, Santalla M, De Rona AM. 2009. Genetics of intra-gene pool and inter-gene pool hybridization for seed traits in common bean (Phaseolus vulgaris L.) germplasm from Europe. Field Crops Research, v.112, p.66-76, 2009. http:// dx.doi.org/10.1016/j.fcr..02.003
Kaya Y, Palta Ç and Taner S. 2002. Additive main effects and multiplicative interactions analysis of yield performances in bread wheat genotypes across environments. Turk J.of Agri. Forestry 26: 275-279.
Kempton, RA. 1984. The use of biplots in interpreting variety by environment interactions. J. Agril. Sci., 103: 123-135.
Mangi L, Raj K, Parvinder S, Shankar L, Harminder S, Hanuman S, Deepak B, Chiter M, and Raj G. 2017. Predicting Yield and Stability Analysis of Wheat under Different Crop Management Systems across Agro-Ecosystems in India. American Journal of Plant Sciences, 2017, 8, 1977-2012.
Mohammadi R, Abdulahi A, Haghparast R and Armion M. 2007. Interpreting genotype environment interactions for durum wheat grain yields using non-parametric methods. Euphytica. 157: 239-251.
Naroui MR, Abdul Kadir M, Rafii Y, Hawa J, Naghavi MR, and Farzaneh A. 2013. Genotype × environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticumaestivum) under normal and drought stress conditions. AJCS 7(7):956-961.
Peyman S, Hashem A, Rahman E, Ali M, and Abouzar A. 2017. Evaluation of Genotype × Environment Interaction in Rice Based on AMMI Model in Iran. Rice Science, 2017, 24(3): 173-180.
Pereira HS, Melo LC, Del Peloso MJ, De Faria MJC, Da Costa LGC, Cabrera DL. 2009 Comparison of methods for phenotypic adaptability and stability analysis in com-mon bean. PesqAgropec. 44: 374-383.
Purchase, JL, and Hatting H. 2000. Genotype x environment interaction of winter wheat (Triticumaestivum L.) in South Africa: I. AMMI analysis of yield performance. S. Afr. 1. Plant Soil, 17(3):95-100.
Romagosa I, Fox PN, Garcia del Moral LF, Ramos JM, Garcia del Moral B, Roca de Togores F, and Molina-Cano JL. 1993. Integration of statistical and physiological adaptation in barley cultivars. TheorAppl Genet, 86: 822–826.
Smoliak S, Ditterline RL, Scheetz JD, Holzworth LK, Sims JR, Wiesner JR, Baldridge, D E, Tibke GL. 1990. Common bean. Montana State University, Animal & Range Sciences Extension Service, Forage extension program, Bozeman, USA.
Wortmann CS. 2006. Phaseolus vulgaris L. (common bean). Record from PROTA4U. Brink, M. & Belay, G. (Editors). PROTA (Plant Resources of Tropical Africa / Resources vegetables de l’Afrique tropicale), Wageningen, Netherlands.
Yan W, Cornelius PL, Crossa J and Hunt LA. 2001. Two types of GGE biplotsfar analyzing multi-environment trial data. Crop Science 41: 656-663.
Zobel RW, Madison JW, Gauch HG Jr. 1988. Statistical analysis of a yield trial. Agronomy Journal 80: 388-393.
Browse journals by subject