Greener Journal of Plant Breeding and Crop Science

Open Access

Greener Journal of Plant Breeding and Crop Science Vol. 5 (1), pp. 001-012, March 2017.

  ISSN: 2354-2292 © 2017 Greener Journals

Research Articles

Manuscript Number: 083016140


(DOI: http://doi.org/10.15580/GJPBCS.2017.1.083016140)

 

Seed Yield Stability and Genotype × Environment Interaction in Common Bean (Phaseolus vulgaris L.) Varieties in Dawro Zone, Southwestern Ethiopia

 

Zeleke Ashango1*, Sentayehu Alamerew2

 

1Melkassa Agricultural Research Center, Adama, Ethiopia; 2Jimma University, College of Agriculture and Veterinary Medicine, Jimma, Ethiopia.


Abstract


Stable yield performance of genotypes is very important in countries like Ethiopia where means to modify environments are limited. However, happening of significant genotype X environment interaction (GEI ) complicates selection of stable genotypes. In Ethiopia, the yield potential of common bean varieties is underutilized due to inadequate addressing of all potential areas and mismatch between selection and production environments. Thus, 14  common bean varieties were evaluated at seven locations for seed yield performance using Randomized complete block design with three replications in the 2010 main cropping season to estimate the magnitude of GLI effects and to identify broadly or specifically adapted varieties. Combined ANOVA, AMMI and GGE biplot models were used to analyze the data. Both main and interaction effects were highly significant (P<0.01) and location, variety, and GLI explained 50.3%, 28.8% and 20.9% variations, respectively, indicating greater influence of location and importance of simultaneous consideration of mean performance and GLI (stability). PC1 and PC2 were highly significant (p < 0.01) and together contributed more than 79% variation in the GLI sum of squares. AMMI 1 biplot enabled identification of both high seed yielding and broadly adapted Varieties, Zebra-90, Goberasha, Roba-1, Nasir, and Omo-95. GGE biplot analysis suggested presence of two mega-locations and enabled identification of specifically adapted varieties. However, GLI couldn't be exploited from one season experiment and, therefore,  farmers in the Zone should grow high seed yielding and broadly adapted varieties.

 

Keywords: AMMI, GGE, Yield stability, GLI, Broad adaptation, Genotype, Environment.


Post-review Rundown

View/get involved, click [Post-Review Page]


References


Adjei, A.I., S.O. Dapaah and I.K. Dontwi, 2010. Predicting the best genotype from analysis of genotype by environment interaction. European J. Sci. Res., 45(1): 128-135.

 

Agrobase 20, 1999. Agronomic software, Inc. Canada.

 

Amare A., 1987. Haricot bean (Phaseolus vulgaris) varieties performance and recommended methods of production. In: IAR proceedings 8th national crop improvement conference 22-26 April 1987. Addis Ababa, Ethiopia.

 

Annicchiarico, P., 2002. Genotype×environment interactions: challenges and opportunities for plant breeding and cultivar recommendations. FAO, Plant Production and Protection Paper 174, FAO, Rome.

 

Asfaw,  A., T. Assefa, B. Amsalu, K. Negash, F. Alemayehu, and F. Grum, 2008. Adaptation and Yield Stability of small Red Bean Elite Lines in Ethiopia. International J. of Plant Breed. and Genet., 2(2): 51-63.

 

Asfaw, A., F. Alemayehu, F. Grum, and M. Atnaf, 2009. AMMI and SREG GGE biplot analysis for matching varieties in to soybean production environments in Ethiopia. Sci. Res. and Essay vol. 4(11): 1322-1330.

 

Assefa, T., G. Abebe, C. Fininsa, B. Tesso and A.  Al-Tawaha, 2005. Participatory bean breeding with women and small holder farmers in eastern Ethiopia. World J. of Agri. Sci. 1(1): 28-35.

 

Central Statistical Agency (CSA), 2010. Agricultural sample survey. Report on area and production of crop (private peasant holdings, meher season). vol.1, CSA, Addis Abeba.

 

Chemeda Fininsa and Bulti Tesso, 2006. Breeding food legumes for eastern Ethiopia. Pp.124 -130. Food and Forage Legumes of Ethiopia: Progress and Prospects. Proceedings of the Workshop on Food and Forage Legumes.  Addis Ababa, Ethiopia, 22 – 26 September 2003.

 

CIAT. 2003. New bean varieties for Ethiopian farmers. Highlights: CIAT in Africa.No, 3.

 

Crossa, J., 1990. Statistical analysis of multilocation trials. Advances in Agronomy. 44: 55-85.

 

Crossa, J., Gauch H.G., R.W. Zobel, 1990. Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Science. 30: 493-500.

 

Ebdon, J. S, H.G Gauch, 2002b. Additive main effect and multiplicative interaction analysis of national turfgrass performance trials II: Cultivar recommendations. Crop Sci. 42: 497-506.

 

Ebdon, J. S,G.H. Gauch, 2002a. Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: I. Interpretation of genotype x environment interaction. Crop Sci. 42: 489-496.

 

Emishaw, W., 2007. Comparision of the growth, photosynthesis, and transpiration of improved and local varieties of common bean (Phaseolus vulgaris L) at Haramaya. An Msc Thesis presented to the School of Graduate Studies Haromaya University. 89p.

 

FAOSTAT, 2010. Food and Agriculture Organization. In: Katungi, E., A. Farrow, T. Mutuoki, S. Gebeyehu, D. Karanja, F. Alemayehu, L. Sperling, S. Beebe, J.C. Rubyogo and R. Buruchara,  2010. Improving common bean productivity: An Analysis of socioeconomic factors in Ethiopia and Eastern Kenya. Baseline Report Tropical legumes II. Centro Internacional de Agricultura Tropical - CIAT. Cali, Colombia.

 

Gauch, H G. and R. W. Zobel, 1988. Predictive and postdictive success of statistical analyses of yield trials. Theor. Applied Genet. 76: 1-10.

 

Gauch, H. G Jr, P. H. Piepho and P. Annicchiarico, 2008. Statistical analysis of yield trials by AMMI and GGE: further considerations. Crop Sci. 48: 866-889.

 

Gauch, H. G., 2006. Statistical analysis of yield trials by AMMI and GGE. Crop Sci. 46: 1488-1500.

 

Gauch, H.G., and R. W. Zobel, 1996. Optimal replication in selection experiments. Crop Sci. 36: 838–843.

 

Gauch, H.G., and R. W. Zobel, 1997. Identifying mega-environments and targeting genotypes. Crop Sci. 37: 11–326.

 

Gezahegn,  A. and A.  Dawit, 2006. Mareketing of pulses in Ethiopia. pp. 346 -351. Food and Forage Legumes of Ethiopia: Progress and Prospects. Proceedings of the Workshop on Food and Forage Legumes, Addis Ababa, Ethiopia, 22 – 26 September 2003.

 

Gollob, H. F., 1968. A statistical model that combines features of factor analysis and analysis of variance techniques. Psycromet.  33: 73-115.

 

Gomez., K. A., and A. A Gomez., 1984. Statistical Procedures for Agricultural Research. 2nd ed. John Wiley and Sons Inc., New York.

 

HARC, 2002. Improved common bean varieties and their production methods. Leaflet unpublished.

 

Hong, T.D. and R.H. Ellis. 1996. A protocol to determine seed storage behaviour. IPGRI Technical Bulletin No. 1. (J.M.M. Engels and J. Toll, vol. eds.) International Plant Genetic Resources Institute, Rome, Italy.

 

Imru, A., 1985. Bean production in Ethiopia. pp. 15-38. In: Regional workshop on potential for field beans (Phaseolus vulgaris L.). In West Asia and North Africa Proceedings of a Regional Workshop in Aleppo, Syria, 21-23 May, 1983. Center International de Agricultura Tropical, Cali, Colombia.

 

Kandus, M., M. D. Almorza, R. Ronceros, J. C. Salerno., 2010. Statistical methods for evaluating the genotype by environment interaction in Maize (Zea mays L.). FYTON ISSN 0031 9457, 79: 39-46.

 

Katungi, E., A. Farrow, T. Mutuoki, S. Gebeyehu, D. Karanja, F. Alemayehu, L. Sperling, S. Beebe, J.C. Rubyogo and R. Buruchara,  2010. Improving common bean productivity: An Analysis of socioeconomic factors in Ethiopia and Eastern Kenya. Baseline Report Tropical legumes II. Centro Internacional de Agricultura Tropical - CIAT. Cali, Colombia.

 

Kaya, Y., C. Palta and S. Taner., 2002. Additive main effects and multiplicative interactions analysis of yield performance in bread wheat genotypes across environments. Turk J. of Agri.  26 : 275-279.

 

Kempton, R. A., 1984. The use of biplots in interpreting variety by environment interactions. J. Agri. Sci.  103:123–135.

 

Legesse, D.,  G. Kumssa, T. Assefa, M. Taha, J. Gobena, T. Alemaw, A. Abebe, Y. Mohhamed and H. Terefe,  2006. Production and Marketing of White Pea Beans in the Rift Valley, Ethiopia. A Sub-Sector Analysis. National Bean Research Program of the Ethiopian Institute of Agricultural Research

 

Liebenberg, J. A., 2002. Dry bean production. Dry bean production manual compiled by Directorate Agricultural information services Department of Agriculture in cooperation with ARC, Seed Crops Institute, SouthAfrica. (Available athttp://www.ndg.agric.za/publications(Accessed July 2010)

 

Mekbib, F., 2003. Yield stability in common bean (Phaseolus vulgaris L.) genotypes. Euph. 130: 147-153.

 

MoARD.  2010. Ministry of Agriculture and Rural Development. Crop Variety Register Issue no. 8.

 

Mwale, V. M.,  J. M. Bokosi, C. M. Masangano, M. B. Kwapata, V. H. Kabambe, and C. Miles, 2008. Yield performance of dwarf bean (Phaseolus vulgaris L.) lines under Researcher Designed Farmer Managed (RDFM) system in three bean agro-ecological zones of Malawi. African J. of Biotech. 7(16):  2847-2853.

 

Namarato, H., G. V. Miranda, L.V. Souza, L.R.Oliveira, and R.O. Delima,  2009. Comparing biplot multivariate analysis with Eberhart and Rusell method for genotype x environment interaction. Crop Breeding and Applied Biotechnology, 9: 299-307.

 

Pereira, S.H.,  L. C. Melo1, L. C. Faria,  L.C. Díaz, M. J. Peloso1, Joaquim G. C.Costa, and A. Wendland, 2009.  Stability and adaptability of carioca common bean genotypes in states of the central South Region of Brazil. Crop Breeding and Applied Biotechnology, 9: 181-188

 

Purchase, J.L., H. Hatting and Cs.Vandenventer, 2000.  Genotype by environments interaction of wheat in South Africa: stability analysis of yield performance. South Africa J. of plant sci. 17: 101-107.  

 

Samonte, S.O.PB, L.T. Wilson, A. M McClung, J. C. Medley, 2005. Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analysis. Crop Sci. 45: 2414-2424.

 

SAS Institute Inc. 2008. SAS/STAT® 9.2 User’s Guide. Cary, NC: SAS Institute Inc.

 

Voltas J, Van E.F, Igartua E, García del Moral L.F, Molina-Cano J.L, Romagosa I. 2002. Genotype by environment interaction and adaptation in barley breeding: Basic concepts and methods of analysis. In Slafer GA, 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. The Harworth Press Inc., New York, pp. 205-241.

 

Yan, W. and M. S. Kang, 2003. GGE biplot: Agraphical tool for breeders, Geneticists, and Agronomists. CRC Press. Baco Raton, FL.

 

Yan, W., 2002. Singular-value partitioning in biplot analysis of multienvironment trial data. Agron. J. 94: 990-996.

 

Yan, W., M. S. Kang, M. B. Woods , 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci. 47: 643-653.

 

Zobel, R. W., J. M. Wright, G. H. Gauch, 1988. Statistical analysis of a yield trial. Agronomy Journal, 80: 388-393.