Barah, B. C., Binswanger, H. P., Rana, B.S., and Rao, N. G. P. 1981. The use of risk aversion in plant breeding; concept and application. Euphytica, 30: 451–458. doi: 10.1007/BF00034010
Bhan, M. K., Pal, S., Rao, B. L., Dhar, A. K., and Kang, M. S. 2005. GGE bi-plot analysis of oil yield in lemongrass. Journal of New Seeds, 7: 127–139. doi: 10.1300/J153v07n02_07
Blanche, S. B., and Myers, G. O. 2006. Identifying discriminating locations for cultivar selection in Louisiana. Crop Science, 46: 946–949. doi: 10.2135/cropsci2005.0279
Brancourt-Hulmel, M., and Lecomte, C. 2003. Effect of environmental varieties on genotype 3 environment interaction of winter wheat: A comparison of bi-additive factorial regression to AMMI. Crop Science, 43: 608–617.
Casanoves, F., Baldessari, J., and Balzarini, M. 2005. Evaluation of multi-environment trials of peanut cultivars. Crop Science, 45: 18–26.
Cooper, M., and Hammer, G. L. 1996. Plant adaptation and crop improvement. CAB International: Wallingford, UK; ICRISAT: Patancheru, India; and IRRI: Manila, The Philippines.
Cooper, M., and DeLacy, I. H. 1994. Relationships among analytical methods used to study genotypic variation and genotype-by-environment interaction in plant breeding multi-environment experiments. Theoretical and Applied Genetics, 88: 561–572.
Dardanelli, J. L., Balzarini, M., Martínez, M. J., Cuniberti, M., Resnik, S., Ramunda, S. F., Herrerob, R., and Baigorrib, H. 2006. Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina. Crop Science, 46: 1939–1947. doi: 10.2135/cropsci2005.12-0480
Baxevanos, D., Goulas, C., Rossi, J., and Braojos, E. 2008. Separation of cotton cultivar testing sites based on representativeness and discriminating ability using GGE Biplots. Agronomy Journal, 100: 1230–1236.
Eskridge, K. M. 1990. Selection of stable cultivars using a safety-first rule. Crop Science, 30: 369–374.
Fan, X. M., Kang, M. S., Chen, H., Zhang, Y., Tan, J., and Xu, C. 2007. Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan, China. Agronomy Journal, 99: 220–228.
Gabriel, K. R. 1971. The bi-plot graphic display of matrices with application to principal component analysis. Biometrika, 58: 453–467.
Gauch, H. G. 1992. Statistical Analysis of Regional Yield Trials: AMMI Analysis of Factorial Designs. Elsevier Science Publishers, Amsterdam, Netherlands.
Gauch, H. G. 2006. Statistical analysis of yield trials by AMMI and GGE. Crop Science, 46: 1488–1500.
Gauch, H. G., and Zobel, R. W. 1997. Identifying mega-environments and targeting genotypes. Crop Science, 37: 311–326.
Gauch H. G., and Zobel R.W. 1996. AMMI analysis of yield trials. In ‘Genotype-by- environment interaction’. (Eds MS Kang, HG Gauch, Jr) pp. 85–122. CRC Press: Boca Raton, FL.
Gravois K. A., and Bernhardt, J. L. 2000. Heritability and genotype by environment interactions for discolored rice kernels. Crop Science, 40: 314–318.
Huhen, M. 1996. Nonparametric analysis of genotype_environment interactions by ranks. In ‘Genotype-by-environment interaction’. (Eds. MS Kang, HG Gauch, Jr) pp. 235–271. CRC Press: Boca Raton, FL.
Kang, M. S. 1988. A rank-sum method for selecting high-yielding, stable corn genotypes. Cereal Research Communications, 16: 113–115.
Kang, M. S. 1993. Simultaneous selection for yield and stability in crop performance trials: Consequences for growers. Agronomy Journal, 85: 754–757.
Kang, M.S. 1998. Using genotype-by-environment interaction for crop cultivar development. Advances in Agronomy, 62:199–252. doi: 10.1016/S0065-2113(08)60569-6.
Kang, M. S., Aggarwal, V. D., Chirwa, R. M. 2006. Adaptability and stability of bean cultivars as determined via yield-stability statistic and GGE bi-plot analysis. Journal of Crop Improvement, 15: 97–120. doi: 10.1300/J411v15n01_08
Kang, M. S., and Pham, H. N. 1991. Simultaneous selection for high yielding and stable crop genotypes. Agronomy Journal, 83: 161–165.
Kaya, Y., Akcura, M., and Taner, S. 2006. GGE-bi-plot analysis of multi environment yield trials in bread wheat. Turkish Journal of Agriculture and Forestry, 30: 325–337.
Kempton, R. A. 1984. The use of bi-plots in interpreting variety-by-environment interactions. Journal of Agricultural Science, 103: 123–135.
Koemel, J. E., Guenzi, A. C., Carver, B. F. and Payton, M. E. 2004. Hybrid and pure line hard red winter wheat yield and stability. Crop Science, 40:107–113.
Lage, J., Trethowan, R. M. and Hernandez, E. 2008. Identification of site similarities in western and central Asia using CIMMYT international wheat yield data. Plant Breeding, 127:350–354.
Lin, C. S., Binns, M. R., and Lefcovitch, L. P. 1986. Stability analysis: Where do we stand? Crop Science, 26: 894– 900.
Magari, R., and Kang, M.S. 1993. Genotype selection via a new yield stability statistic in maize yield trials. Euphytica, 70: 105–111. doi: 10.1007/BF00029647.
Malvar, R. A., Revillaa, P., Butrona, A., Gouesnardc, B., Boyatc, A., Soengasa, P., Alvarezb, A., and Ordas, A. 2005. Performance of crosses among French and Spanish maize populations across environments. Crop Science, 45: 1052–1057. doi: 10.2135/cropsci2004.0301
Mohammadi, R., Armion, M., Zadhassan, E., Ahmadi, M.M., and Sadeghzadeh Ahari, D. 2012. Genotype × Environment interaction for grain yield of rainfed durum wheat using the GGE bipot Model. Seed and Plant I. Journal, 3: 503-518.
Mohammadi, R., Haghparast, R., Amri, A., and Ceccarelli, S. 2010. Yield stability of rainfed durum wheat and GGE bi-plot analysis of multi-environment trials. Crop and Pasture Science, 61: 92–101.
Özgen, M. 1991. Yield stability of winter wheat (Triticum sp.) cultivars and lines. Journal Agronomy Crop Science, 166: 318–327.
Pazdernik, D. L., Hardman, L. L., and Orf, J. H. 1997 Agronomic performance and stability of soybean varieties grown in three maturity zones in Minnesota. Journal of Production Agriculture, 10: 425–430.
Sharma, R. C., Morgounov, A. I., Braun, H. J., Akin, B., Keser, M., Bedoshvili, D. and van Ginkel, M. 2009. Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica, 171: doi 10.1007/s10681-009-9992-6.
Rose, I. V. L. W., Das, M. K., and Taliaferro, C. M. 2008. A comparison of dry matter yield stability assessment methods for small numbers of genotypes of bermudagrass. Euphytica, 164: 19–25.
Samonte, S. O. P., Wilson, L. T., McClung, A. M. and Medley, J. C. 2005. Targeting cultivars onto rice growing environments using AMMI and SREG GGE bi-plot analyses. Crop Science, 45: 2414–2424. doi: 10.2135/cropsci2004.0627
Sharma, R. C., Smith, E. L., and McNew, R. W. 1987. Stability of harvest index and grain yield in winter wheat. Crop Science, 27:104–108.
Shukla, G. K. 1972. Some statistical aspects of partitioning genotype environmental components of variability. Heredity, 29: 237–245. doi: 10.1038/hdy.1972.87.
Thomason, W. E., and Phillips, S. B. 2006. Methods to evaluate wheat cultivar testing environments and improve cultivar selection protocols. Field Crops Research, 99: 87–95. doi: 10.1016/j.fcr.2006.03.007
Trethowan, R. M., Van Ginkel, M., Ammar, K. and Crossa, J. 2003. Associations among twenty years of bread wheat yield evaluation environments. Crop Science, 43:1698–1711.
Van Ginkel, M., and Rajaram, S. 1993. Breeding for durable resistance to diseases in wheat: an international perspective. In: Jacobs T, Parleviet J (eds) Durability of disease resistance. Kluwer, Dordrecht, pp 259–272.
Voltas, J., Lopez-Corcoles, H., and Borras, G. 2005. Use of bi-plot analysis and factorial regression for the investigation of superior genotypes in multi-environment trials. European Journal of Agronomy, 22: 309–324. doi: 10.1016/j.eja.2004.04.005
Waldron, B. L., Asay, K. H., and Jensen, K. B. 2002. Stability and yield of cool-season pasture grass species grown at five irrigation levels. Crop Science, 42: 890–896.
Yan, W. 2001 GGE Biplot—A Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agronomy Journal, 93:1111–1118.
Yan, W., Hunt, L. A., Sheng, Q., and Szlavnics, Z. 2000. Cultivar evaluation and mega-environment investigation based on GGE biplot. Crop Science, 40: 596–605.
Yan, W., and Kang, M. S. 2003. ‘GGE Biplot analysis: A graphical tool for breeders, geneticists, and agronomists.’ CRC Press: Boca Raton, FL.
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, 47: 643–655.
Yan, W., and Rajcan, I. 2002 Biplot evaluation of test sites and trait relations of soybean in Ontario. Crop Science, 42: 11–20.
Yan, W. 2002. Singular-value partitioning in biplot analysis of multi-environment trial data. Agronomy Journal, 94: 990–996.
Yan, W., and Tinker, N. A. 2006. Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science, 86: 623–645.