1. Able, J., and S. Atienza. 2014. Durum wheat for the future: Challenges, research, and prospects in the 21st century. Crop Pasture Sci. 65: 1-124. [ DOI:10.1071/CPv65n1_FO] 2. Balalić, I., M. Zorić, G. Branković, S. Terzić and J. Crnobarac. 2012. Interpretation of hybrid× sowing date interaction for oil content and oil yield in sunflower. Field Crops Res. 137: 70-77. [ DOI:10.1016/j.fcr.2012.08.005] 3. Dimitrios, B., G. Christos, R. Jesus and B. Eva. 2008. Separation of cotton cultivar testing sites based on representativeness and discriminating ability using GGE Biplots. Agron. J. 100: 1230-1236. [ DOI:10.2134/agronj2007.0363] 4. Eberhart, S. A. and W. A. Russell. 1966. Stability parameters for comparing varieties. Crop Sci. 6: 36-40. [ DOI:10.2135/cropsci1966.0011183X000600010011x] 5. Fan, X. M., M. S. Kang, H. Chen, Y. Zhang, J. Tan and C. Xu. 2007. Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan, China. Agron. J. 99: 220-228. [ DOI:10.2134/agronj2006.0144] 6. Finlay, K. W. and G. N. Wilkinson. 1963. The analysis of adaptation in a plant breeding program. Aust. J. Agric. Res. 14: 742-754. [ DOI:10.1071/AR9630742] 7. Francis, T. R. and L. W. Kannenberg. 1978. Yield stability studied in short-season maize. I. A descriptive method for grouping genotypes. Can. J. Plant Sci. 58: 1029-1034. [ DOI:10.4141/cjps78-157] 8. Gabriel, K. R. 1971. The biplot graphic display of matrices with application to principal component analysis. Biometrika 58: 453-467. [ DOI:10.1093/biomet/58.3.453] 9. Gauch, H. G. and R. W. Zobel. 1997. Identifying mega-environments and targeting genotypes. Crop Sci. 37: 311-326. [ DOI:10.2135/cropsci1997.0011183X003700020002x] 10. Lin, C. S. and M. R. Binns. 1988. A method for analyzing cultivar x location x year experiments: a new stability parameter. Theor. Appl. Genet. 76: 425-430. [ DOI:10.1007/BF00265344] 11. Nachit, M. M., M. Baum, E. Poreciddu, P. Monneveux and E. Picard. 1998. SEWANA (South Europe, West Asia and North Africa) Durum Research Network. Proceeding of the SEWANA Durum Network Workshop, 20-23 March 1995. ICARDA, Aleppo, Syria. 12. Moslemi, M., M. Roustaii and V. Rashidi. 2012. Evaluation of grain yield and yield components in bread wheat genotypes under different moisture regimes. Seed Plant Improv. J. 28(4): 611-630. (In Persian with English abstract). 13. Nassar, R. and M. Huhn. 1987. Studies on estimation of phenotypic stability: Tests of significance for nonparametric measures of phenotypic stability. Biometrics 43: 45-53. [ DOI:10.2307/2531947] 14. Perkins, J. M. and J. L. Jinks. 1968. Environment and genotype-environmental components of variability. Heredity 23: 339-3256. [ DOI:10.1038/hdy.1968.48] 15. Plaisted, R. L. and L. C. Peterson. 1959. A technique for evaluating the ability of selections to yield consistently in different locations or seasons. Am. Pot. J. 36: 381-385. [ DOI:10.1007/BF02852735] 16. Pinthus, J. M. 1973. Estimate of genotype value: a proposed method. Euphytica, 22: 121-123. [ DOI:10.1007/BF00021563] 17. R Core Team. 2016. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 18. Rakshit, S., K. N. Ganapathy, S. S. Gomashe, A. Rathore, R. B. Ghorade, M. V. Nagesh-Kumar, K. Ganesmurthy, S. K. Jain, M. Y. Kamtar, J. S. Sachan, S. S. Ambekar, B. R. Ranwa, D. G. Kanawade, M. Balusamy, D. Kadam, A. Sarkar, V. A. Tonapi and J. V. Patil. 2012. GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data. Euphytica, 85: 465-479. [ DOI:10.1007/s10681-012-0648-6] 19. Sharma, R. C., A. I. Morgounov, H. J. Braun, B. Akin, M. Keser, D. Bedoshvili, A. Bagci, C. Martius and M. van Ginkel. 2010. Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica, 171: 53-64. [ DOI:10.1007/s10681-009-9992-6] 20. Robins, J. G., B. L. Waldron, K. P. Vogel, J. D. Berdahl, M. R. Haferkamp, K. B. Jensen, T. A. Jones, R. Mitchell and B. K. Kindiger. 2007. Characterization of testing locations for developing cool-season grass species. Crop Sci. 47: 1004-1012. [ DOI:10.2135/cropsci2006.09.0619] 21. Rose, I. V. L. W., M. K. Das and C. M. Taliaferro. 2008. A comparison of dry matter yield stability assessment methods for small numbers of genotypes of Bermuda grass. Euphytica, 164: 19-25. [ DOI:10.1007/s10681-007-9620-2] 22. Shafii, B., K. A. Mahler, W. J. Price and D.L. Auld. 1992. Genotype- environment interaction effects on winter rapeseed yield and oil content. Crop Sci. 32: 922-927. [ DOI:10.2135/cropsci1992.0011183X003200040017x] 23. Shukla, G. K. 1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity 29: 237-245. [ DOI:10.1038/hdy.1972.87] 24. Wricke, G. 1962. Uber eine methode zur refassung der okologischen streubretite in feldversuchen, Flazenzuecht 47: 92-96. 25. Yan, W., L. A. Hunt, Q. Sheng and Z. Szlavnics. 2000. Genotype evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40: 597-605. [ DOI:10.2135/cropsci2000.403597x] 26. Yan, W. and M. S. Kang. 2003. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists and Agronomists. CRC Press, Boca Raton, FL. [ DOI:10.1201/9781420040371] 27. Yates, F. and W. G. Cochran. 1938. The analysis of groups of experiments. J Agric. Sci. 28: 556-580. [ DOI:10.1017/S0021859600050978]
|