- Cooper, M,, and Byth, D.E. (1996). Understanding plant adaptation to achieve systematic applied crop improvement: A fundamental challenge. In: Cooper, M and Hammer, GL (eds.) Plant adaptation and crop Wallingford: CABI Publishing. [Google Scholar]
- Eberhart, S.A., & Russell, W.A. (1966). Stability parameters for comparing varieties. Crop. Sci.6:36-40. [Google Scholar]
- Eberhart, S.A., & Russell, W.A. (1969). Yield stability for a 10-line diallel of single-cross and double-cross maize hybrids. Crop Sci. 9, 357-361. [Google Scholar]
- Finlay, K.W., & Wilkinson, G.N. (1963). The Analysis of Adaptation in a Plant Breeding Programme. Aust. J. Agric. Res., 14: 742-754. [Google Scholar]
- Gauch, H.G. (1992). Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier, Amsterdam, Netherlans. [Google Scholar]
- Gauch, H.G. (2006). Statistical analysis of yield trials by AMMI and GGE. Crop Science 46, 1488-1500. doi: 10.2135/cropsci2005.07-0193 [Google Scholar] [Crossref]
- Gomez, K.A., & Gomez, A.A. (1984). Statistical Procedures for Agricultural Research. 2nd Ed. John Willey and Sons, Inc. New York. 641. [Google Scholar]
- Kang, M.S. (1993). Simultaneous selection for yield and stability in crop performance trials: consequences for growers. Agronomy Journal 85, 754-757. [Google Scholar]
- Lin, C.S., Binns, M.R., and Lefkovitch, L.P. (1986). Stability analysis: where do we stand? Crop Sci. 26: 894-900. [Google Scholar]
- Naroui, M.R.R., Kadir, M.A., Rafii, M.Y., Hawa Jaafar, Z.E., Naghavi, M.R., and Ahmadi, F. (2013). Genotype × environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought stress conditions. AJS 7 (7):956-961. [Google Scholar]
- Öztürk, İ., and Korkut, Z.K. (2018). Evaluation of Drought Tolerance Indices and Relationship with Yield in Bread Wheat Genotypes under Different Drought Stress Conditions. Journal of International Scientific Publications. Agriculture & Food. Volume 6, p: 359-367. [Google Scholar]
- Patel, B.C., Y.M. Rojasara., V.R. Akbari., and J.A. Patel. (2014). Stability analysis for grain yield in bread wheat (Triticum aestivum L.) for irrigated ecosystems. Journal of Wheat Research 6(2):160-162 [Google Scholar]
- Piepho, H.P. (1998). Methods for comparing the yield stability of cropping systems’ a review. J. of Agron. and Crop Sci. 180: 193-213. [Google Scholar]
- Rad, M.R., Naroui-Abdul, M., Rafii, M.Y., Jaafar, H., Naghavis, M.R., Ahmadi, F. (2013). Genotype × environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum L.) under normal and drought stress conditions. - Aust. J. Crop Science 7: 956-96. [Google Scholar]
- Sharma, R.C., Morgounov, A.I., Braun, H.J., Akin, B., Keser, M., Bedoshvili, D., Bagci, A., Martius. C., van Ginkel, M. (2010). Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica 171: 53-64. [Google Scholar]
- Tai, G.C.C. (1971). Genotypic stability analysis and its application to potato regional trials. Crop Sci. 11: 184-190. [Google Scholar]
- Vargas, M., Crossa, J., van Eeuwijk, F.A., Ramirez, M.E., Sayre, K. (1999). Using partial least squares regression, factorial regression, and AMMI models for interpreting genotypeenvironment interaction. Crop Science 39, 955-967. [Google Scholar]
- Yan, W., Hunt, L.A., Sheng, Q., and Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science 40(3):597-605. [Google Scholar]
- Yan, W., and Rajcan, I.R. (2002). Biplot analysis of test sites and trait relations of soybean in Ontario. Canadian Journal of Plant Science 42:11-20. [Google Scholar]
- Yan, W., and Kang, M.S. (2002). GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. New York, NY, USA: CRC Press. [Google Scholar]
- Yan, W., and Kang, M.S. (2003). GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists (CRC Press: Boca Raton, FL). [Google Scholar]
- Yan, W., Kang, M.S., Ma, B., Woods, S., Cornelius, P.L. (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci. 47: 643-653. [Google Scholar]
- Yan, W., and Hunt, L.A. (2001). Interpretation of genotype×environment interaction for winter wheat yield in Ontario. Crop Science 41: 19-25. [Google Scholar]
- Yan, W., and Tinker, N.A. (2005). An integrated biplot analysis system for displaying, interpreting, and exploring genotype×environment interaction. Crop Science 45(3):1004-1016. [Google Scholar]
- Yan, W., and Tinker, N.A. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant Sci. 86: 623-645. [Google Scholar]
- Zobel, R.W. (1990). A powerful statistical model for understanding genotype by environment interaction. In ‘Genotype by environment interaction and plant breeding’. (Ed.MSKang) pp. 126-140. (Louisiana State University: Baton Rouge, FL). [Google Scholar]
- Zobel, R.W., Wright, M.J., and Gauch, H.G. (1988). Statistical analysis of a yield trial. Agronomy Journal 80, 388-393. [Google Scholar]
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