1 Agrotechnology, Vol. 10 Iss. 3 No: 206 Agrotechnology OPEN ACCESS Freely available online Research Article The Andean Red Common Bean (Phaseolus vulgaris L.) Genotypes Yield Stability Study in Southern and Central Rift Valley of Ethiopia Demelash Bassa 1* , Hussein Mohammed 2 , Fekadu Gurmu 2 , Berhanu Amsalu 4 1 Areka Agricultural Research Center, Areka, Ethiopia; 2 School of Plant and Horticultural Science, College of Agriculture, Hawassa University, Hawassa, Ethiopia; 3 Hawassa Agricultural Research Center, Hawassa, Ethiopia; 4 Ethiopian Institute of Agricultural Research, Dessie, Ethiopia INTRODUCTION Common bean with 2n=22 diploid chromosome number belongs to genus Phaseolus, species vulgaris,family Fabaceae. It is the most important food legume contributing50% for human consumption of the total production [1] in the world. In Africa, common bean is grown mainly for subsistence and it is a main source of dietary protein in Kenya, Tanzania, Malawi, Uganda and Zambia. In Ethiopia, the production obtained from red and white types of common beans was 14.3% (380,499.453 tons) and 6% (159,739.484 tons), of the pulse production respectively. Thus, the total area allotted for common bean production was 357, 299.89ha in Ethiopia and the yield obtained was 540,238.94 tons [2]. The main challenge for the production of common bean in Ethiopia is believed to be shortage of high yielding and stable varieties. Genotype x environment interaction (GEI) is present when the expression of any trait of genotypes is inconsistent over environments. When a significant GEI is present, researchers are interested to know the cause of the interaction in order to make accurate predictions of genotype performance under a variety of environments [3]. The current research is aimed to estimate the interaction and performance of genotypes across environments using the multivariate methods; i.e., Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype plus Genotype by Environment (GGE) bi-plot analysis. In AMMI analysis, genotype (G) and environment (E) are considered as additive main effects and the GEI as a multiplicative component and is interpreted by principal component analysis (PCA) [4]. AMMI bi-plot is identified as GEI bi-plot which combines the yield stability parameters [5]. The use of AMMI is effective to evaluate multi-environment trial with the data collected from two to five times more replications [6]. For multi-environment trials, which are not possible with the use of AMMI model, GGE bi-plot analysis is used to evaluate the environments [7]. GGE bi-plot graphically displays a GEI in a two way table [8]. It is an effective method for 1) mega-environment analysis (e.g. “which-won-where” pattern), whereby genotypes can also be recommended to specific environments [7,8], 2) genotype evaluation (the mean performance and stability of genotypes) and 3) environmental evaluation (the discriminating Correspondence to: Demelash Bassa, Areka Agricultural Research Center, Areka, Ethiopia; E-mail: demelashbassa2000@gmail.com Received: February 01, 2021, Accepted: February 16, 2021, Published: February 22, 2021 Citation: Bassa D, Mohammed H, Gurmu F, Amsalu B (2021) The Andean Red Common Bean (Phaseolus vulgaris L.) Genotypes Yield Stability Study in Southern and Central Rift Valley of Ethiopia. Agrotechnology. 10: 345. Copyright: © 2021 Bassa D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT The presence of significant genotype x environment interaction (GEI) has effect on the stability of genotypes across environments. Sixteen Andean red common bean genotypes were evaluated at six sites using triple lattice design in 2017 cropping season. The objective of the study was to evaluate seed yield stability of the genotypes using Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype plus Genotype by Environment (GGE) bi-plot analyses. The AMMI ANOVA showed that the magnitude of G, E and GEI was 3.8%, 80.9% and 11.1% respectively of the total variation. The genotypes Red kidney, Melkadima and DAB 478 were identified as stable genotypes using AMMI bi-plot analysis. Based on GGE bi plot analysis, genotypes DAB 544, Red kidney, DAB 478, DAB 532 and DAB 481 were adapted to all environments. Three mega-environments were identified using GGE bi-plot analysis; namely high potential and discriminating environments (Melkassa), medium potential environments (Arsi Negele and Alem Tena) and low potential and undiscriminating environments (Areka, Gofa and Kokate). Therefore, Genotypes Red kidney and DAB 478 were the most stable according to the two stability analysis models and can be recommended for production in southern region and central Rift valley areas of Ethiopia. Keywords: AMMI; Common bean; GGE bi-plot; GEI; Genotypes; Yield