Legume Research

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Legume Research, volume 41 issue 2 (april 2018) : 189-195

Genotype x environment interaction of some dry bean (Phaseolus vulgaris L.) genotypes

Omer Sozen, Ufuk Karadavut, Huseyin Ozcelik, Hatice Bozoglu, Mevlut Akcura
1Department of Field Crops, Faculty of Agriculture, University of Ahi Evran, Kirsehir, Turkey.
  • Submitted09-03-2017|

  • Accepted15-12-2017|

  • First Online 16-03-2018|

  • doi 10.18805/LR-354

Cite article:- Sozen Omer, Karadavut Ufuk, Ozcelik Huseyin, Bozoglu Hatice, Akcura Mevlut (2018). Genotype x environment interaction of some dry bean (Phaseolus vulgaris L.) genotypes. Legume Research. 41(2): 189-195. doi: 10.18805/LR-354.
Beans are grown in different environments. The most important issue in bean agriculture is to increase seed yield as expected in other plants. As well reported so far, environmental factors such as rain, heat, their timing and topography affect yield and yield quality in dry beans. So, this study was conducted in 2011-2015 in Samsun (Ambarkopru and Gelemen) and Kirsehir (Mucur and Cogun) locations in order to investigate the effects of the environmental factors on dry bean. For this aim, 20 dry bean genotypes (7 cultivars and 13 pure lines) were used as plant materials. Results showed that G5, G11 and G15 genotypes were close to ideal genotypes. When the year was considered as the environmental factor, the ideal production year was in 2013 with respect to yield and yield quality, concluding that climate changes between years affected yield parameters in dry bean genotypes. 
  1. Adjei, M.B., Quesenberry, K.H. and Chambliss, C.G. (2002). Nitrogen Fixation and Inoculation of Forage Legumes. University of Florida, Ifas Extension. USA.
  2. Akcura, M., Kaya, Y. and Taner, S. (2005). Genotype x Enviroment interaction and phenotypic stability analysis for grain yield of Durum wheat in the Central Anatolian Region, Turkish Journal of Agriculture and Forestry, (29): 369-375 p.
  3. Arain, M.A., Sial, M.I., Rajput, A.M. and Mirbahar, A.A. (2011). Yield stability in bread wheat genotypes. Pakistan Journal of Botany, 43 (4): 2071-2074 p.
  4. Asfaw, A. (2008). Assessment of yield stability in sorghum using univariate and multivariate statistical approaches. Hereditas, 145: 28-37 p.
  5. Ashango, Z., Amsalu, B., Tumisa, K., Negash, K. and Fikre, A. (2016). Seed yield stability and genotype x environmen interaction of common bean (Phaseolus vulgaris L.) Lines in Ethiopia. International Journal of Plant Breed and Crop Science, 3 (2): 135-    144 p.
  6. Balapure, M.M., Mhase, L.B., Kute, N.S. and Pawar, V.Y. (2016). AMMI analysis for stability of chickpea. Legumes Research, 39 (2): 301-304 p.
  7. Chowdhary, M., Vanderberg, A. and Warkentin, T. (2002). Cultivar identification and genetic among selected breeding lines and cultivars in chick pea. Euphytica, 127 (3): 317-325 p.
  8. Choudhary, R.N. and Haque, M.F. (2010). Effects of environment on component traits and yield of chickpea genotypes. Legumes Research, 33 (2): 134-139 p. 
  9. Farshadfar, E. (2008). Incorporation of AMMI stability value and grain yield in a single non-parametric index (GSI) in bread wheat. Pakistan Journal of Biological Sciences, 11(14):1791-1796 p.
  10. Genc, A., Karadavut, U. and Akcura, M. (2005). Stability analysis of seed yield of some winter oat genotypes. University of Selcuk Faculty of Science and Literature Science Journal, Konya, 25: 87-97 p.
  11. Hinsta, G., Hailemariam, A. and Belay, T. (2011). Genotype by environment interaction and grain yield stability of early maturiting bread wheat (Triticum aestivum L.) geanotypes in the drought prone areas of Tigray Region, Northern Ethiopia. Ethiopian Journal of Applied Sccience and Techonology, 2: 51-57 p.
  12. Hinsta, G. and Abay, F. (2013). Ammi and GGE biplot analysis of bread wheat genotypes in the Northern Part of Ethiopia. Journal Plant Breed Genetic, 1: 12-18 p.
  13. Karadavut, U., Palta, C., Kavurmaci, Z. and Bölek, Y. (2010). Some grain yield parameters of multi-environmental trials in faba bean (Vicia faba) genotypes. International Journal of Agriculture and Biology, 12: 217-220 p.
  14. Khan, M.Q., Anwar, S. and Khan, M.I. (2007). Genetic variability for seedling Traits in wheat (Triticum aestivum L.) under moisture stress conditions. Asian Journal Plant Science, 1 (5): 588-590 p.
  15. Mehari, T.F., Greene, L., Duncan, A. and Fakayode, S.O. (2015). Trace elements concentrations in fresh fruits, vegetables, herbs, and processed foods. Journal Environmental Protection, 6: 573-583 p.
  16. Meng, M., Fallavollita, P., Seelbach, I., Von Der Heide, A.M., Euler, E., Waschke, J. and Navab, N. (2016). Personalized augmented reality for anatomy education. Clinical Anatomy, 29: 446-453 p.
  17. Mulugeta, S., Sentayehu, A. and Kassahun, B. (2012). Genetic variability, heritability, correlation coefficient and path analysis for yield and yield related traits in upland rice (Oryza sativa L.). Journal of Plant Sciences, 7 (1): 13-22 p.
  18. Mulusew, F., Susu, M.J., Tadesse, T. and Legesse, T. (2008). Analysis of multi-environment yield performance of faba bean (Vicia Faba L.) genotypes using AMMI model. Journal Genetic & Breeding, 62: 25-30 p.
  19. Mustapha, M., Bakari, H.R., Alkali, A. (2014). Statistical evaluation of grain yield in milet trials using principle component analysis. Current Trends in Technology and Science, 3 (6): 422-428 p.
  20. Ozberk, I. (1990). Genotype x Environment Ýnteraction. South East Agricultural Research Institute, Compilation Seriess, Sanliurfa.
  21. SAS Institute, (1999). SAS/STAT users guide. 8. Version. SAS Institute Inc. Cary. NC.
  22. Shabana, M., Qurashi, M.D., Ansari, B.A. and Sial, M.A. (2007). Genetic heritability for grain yield and its related characters in spring wheat (Triticum aestivum L.). Pakistan Journal of Botany, 39 (5): 1503-1509 p.
  23. Sofi, P.A. and Saba, I. (2016). Natural variation in common bean (Phaseolus vulgaris L.) for root traits and biomass partitioning under drought. Indian Journal of Agricultural Research, 50 (6): 604-608 p.
  24. Sozen, O. (2012). Research on improvement of elliptic seed shape variety through individual selection method from local bean (Phaseolus vulgaris L.) populations collected from Artvin province and Kelkit Valley. Institute of Science of Ondokuzmayýs University, Samsun, Doctorate Thesis, 105 p.
  25. Tamene, T.T. and Tadese, S.G. (2014). Sites regression GGE biplot analysis of haricot bean (Phaseolus vulgaris L.) genotypes in three contrasting environment. World Journal of agricultural Research, 2 (5): 228-238 p.
  26. Tseyaga, D., Tadesse, W. and Bayable, M. (2012). Genotype x environment interactions and grain yield stability of haricot bean varieties in Northwest Ethiopia. Scientific Research and Essay, 7 (41): 3487-3493 p.
  27. Woolley, J., Ildefonso, R.L., Castro, T.D.E.A.P.E. and Voss, J. (1991). Bean cropping system in the tropics and subtropic and their determinants. Field Crops Abstracts, 44.
  28. Verma, R.P.S., Kharab, A.S., Kumar, V. and Verma, A. (2016). Genotype x Environment evaluation of salinity tolerant barley genotypes by AMMI model. Agricultural Science Digest, 36 (3): 191-196 p.
  29. Viana, J.M.S. and Cruz, C.D. (2002). Analysis of stability and adaptability through different models of linear regression. Cienc Agrotec Lavras, 26: 455-462 p.
  30. Yan, W. and Kang, M.S. (2003). GGE Biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton, Florida.
  31. Yan, W. and Tinker, N.A. (2006). Biplot Analysis of Multi-environment Trial Data: Priciples and Applications. Canadian Journal of Plant Science, 86 (3): 623-645 p.
  32. Yan, W., Kang, M.S., Ma, B., Woods, S. and Cornelius, P.L. (2007). GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data. Crop Science Society of America, 47 (2): 643-653 p. 

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