S0049-3848(14)00284-9

Original Article

GGE Biplot Based Stability Analysis of Durum Wheat Genotypes Using Statistical Package GGEBiplotGUI

Year: 2020 | Month: June | Volume 13 | Issue 2

References (21)

1.Braun, H.J., Rajaram, S. and van Ginkel, M. 1996. CIMMYT’s approach to breeding for wide adaptation. Euphytica., 92: 175-183.

View at Google Scholar

2.Crespo-Herrera, L.A., Crossa, J., Huerta-Espino, J., Autrique, E., Mondal, S. and Velu, G. 2017. Genetic yield gains inCIMMYT’s International Elite Spring Wheat Yield Trials by modeling the genotype × environment interaction. Crop Sci., 57: 789-801.

View at Google Scholar

3.Dehghania, H., Ebadia, A. and Yousefib, A. 2006. Biplot analysis of genotype by environment interaction for barley yield in Iran. Agron. J., 98: 388-393.

View at Google Scholar

4.Farshadfar, E., Mohammadi, R., Aghaee, M. and Vaisi, Z. 2012. GGE biplot analysis of genotype × environment interaction in wheat-barley disomic addition lines. Aust. J. of Crop Sci., 6(6): 1074-1079.

View at Google Scholar

5.Farshadfar, E., Rashidi, M., Jowkar, M. and Zali, H. 2013. GGE biplot analysis of genotype × environment interaction in chickpea genotypes. Eur. J. Exp. Bio., 3(1): 417-423.

View at Google Scholar

6.Hagos, H.G. and Abay, F. 2013. AMMI and GGE biplot analysis of bread wheat genotypes in the Northern part of Ethiopia. J. Plant Breed Gen., 1(1): 12-18.

View at Google Scholar

7.Jalata, Z. 2011. GGE-biplot analysis of multi-environment yield trials of barley (HordeumvulgareL.) genotypes in Southeastern Ethiopia highlands. Int. J. Plant Breed Gen., 5(1): 59-75.

View at Google Scholar

8.Kaya, Y. and Akcura, M. 2014. Effects of genotype and environment on grain yield and quality traits in bread wheat (T. aestivum L.). Food Sci. Technol., 34(2): 386-393.

View at Google Scholar

9.Kendal, E. 2019. Comparing durum wheat cultivars by genotype × yield × trait and genotype × trait biplot method. Chil. J. Agric. Res., 79(4): 512-522.

View at Google Scholar

10.Letta, T., D’Egidio, M.G. and Abinasa, M. 2008. Analysis of multi-environment yield trials in durum wheat based on GGE-biplot. J. Food Agric. Environ., 6(2): 217-221.

View at Google Scholar

11.Matus-Cadiz, M.A., Hucl, P., Perron, C.E. and Tyler, R.T. 2003. Genotype × environment interaction for grain color in hard white spring wheat. Crop Sci., 43: 219-226.

View at Google Scholar

12.R Core Team 2016. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.

View at Google Scholar

13.Rathwa, H.K., Pansuriya, A.G., Patel, J.B. and Jalu, R.K. 2018. Genetic Variability, Heritability and Genetic Advance in Durum Wheat (Triticum durum Desf.). Int. J. Curr. Microbiol. App. Sci., 7(01): 1208-1215.

View at Google Scholar

14.Sagar, V., Yadav, R., Jain, N., Gaikwad, K.B. and Prabhu, K.V. 2014. Consolidating the yield gain by exploiting genotype× management interaction in wheat. Ind. J. GenPl Breed, 74(2): 157-165.

View at Google Scholar

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

View at Google Scholar

16.Solonechnyi, P., Vasko, N., Naumov, A., Solonechnaya, O., Vazhenina, O., Bondareva, O. and Logvinenko, Y. 2015. GGE biplotanalysis of genotype by environment interaction of spring barley varieties. Zemdirbyste- Agriculture, 102(4): 431-436.

View at Google Scholar

17.Verma, A., Crossa, J., Vargas, M., Joshi, A.K. and Singh, G.P. 2020. Adaptability Measures for Wheat Genotypes Evaluated under Northern Hills Zone of Country for Irrigated Timely Sown Conditions. IJAEB, 13(1): 01-12.

View at Google Scholar

18.Yan, W. 2001. GGEbiplot-a windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron. J., 93: 1111-1118.

View at Google Scholar

19.Yan, W., Hunt, L.A., Sheny, Q. and Szlavnics, Z. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci., 40: 597-605.

View at Google Scholar

20.Yan, W. and Kang, M.S. 2003. GGE biplot analysis: a graphical tool for breeders, geneticists and agronomists. Taylor & Francis.

View at Google Scholar

21.Yan, W. and Tinker, N.A. 2006. Biplot analysis of multienvironment trial data: principles and applications. Can. Plant Sci., 86: 623-645.

View at Google Scholar

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