مطالعه اثر متقابل ژنوتیپ × محیط در ژنوتیپ‌های برنج از طریق GGE بای‌پلات

Allahgholipour, M., Moumeni, A., Nahvi, M., Yekta, M. and Zarbafi, S. S. 2012. Identification of parental combinations for improvement of rice grain quality, yield and yield components in rice. Cereal Research 1 (1): 1-10. (In Persian with English Abstract).#Allahgholipour, M., Rabiei, B., Ebadi, A. A., Hossieni, M. and Yekta, M. 2010. Starch viscosity properties: New criteria for assessment of cooking quality of rice (Oryza sativa L.) cultivars. Iranian Journal of Crop Science 12 (2): 140-151. (In Persian with English Abstract).#Allahgholipour, M., Shokofe, A. A., Yekta, M., Shafieisabet, H., Mohammadi, M. and Lotfi, A. 2014. Improving high yielding rice cultivars by participatory plant breeding approach. Rice Research Institute of Iran. (In Persian).#Becker, H. B. and Leon, J. 1988. Stability analysis in plant breeding. Plant Breeding 101: 1-23.#Cornelius, P. L. and Crossa, J. 1999. Prediction assessment of shrinkage estimators of multiplicative models for multi-environment cultivar trials. Crop Science 39: 998–1009.#Crossa, J., Gauch, H. G. and Zobel, R. W. 1990. Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Science 30: 493-500.#Dehghani, H., Ebadi, A. and Yousefi, A. 2006. Biplot analysis of genotype by environment interaction for barley yield in Iran. Agronomy Journal 98: 388-393.#Ebdon, J. S. and Gauch, H. G. 2002. Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: I. Interpretation of genotype environment interaction. Crop Science 42: 489-496.#Flores, F., Moreno, M. T. and Cubero, J. I. 1998. A comparison of univariate and multivariate methods to analyze G×E interaction. Field Crops Research 56: 271-286.#Freed, R. D. and Eisensmith, S. P. 1992. MSTAT-C software. Ver. 1.42. Crop and Soil Sciences Department, Michigan State University, Michigan, USA.#Gabriel, K. R. 1971. The biplot graphic display of matrices with application to principal component analysis. Biometrika 58: 453-467.#Gauch, H. G. 1988. Model selection and validation for yield trials with interaction. Biometrics
44: 705-715.#Gauch, H. G. 2006. Statistical analysis of yield trials by AMMI and GGE. Crop Science 46: 1488-1500.#IBM. 2010. IBM SPSS statistics for windows. Ver. 19.0. International Business Machines Corporation. Headquarter in Armonk, New York, USA.#Kaya, Y., Akcura, M. and Taner, S. 2006. GGE-biplot analysis of multi-environment yield trials in bread wheat. Turkish Journal of Agriculture and Forestry 30: 325-337.#Lakew, T., Tariku, S., Alem, T. and Bitew, M. 2014. Agronomic performances and stability analysis of upland rice genotypes in North-West Ethiopia. International Journal of Scientific and Research Publications 4 (4): 1-9.#Lin, C. S., Binns, M. R. and Lefcovitch, L. P. 1986. Stability analysis: Where do we stand? Crop Science 26: 894-900.#Ma, B. L., Yan, W., Dwyer, L. M., Fregeau-Reid, J., Voldeng, H. D., Dion, Y. and Nass, H. 2004. Graphic analysis of genotype, environment, nitrogen fertilizer and their interaction on spring wheat yield. Agronomy Journal 96: 169-180.#Moreno-Gonzalez, J., Crossa, J. and Cornelius, P. L. 2004. Genotype × environment interaction in multi-environment trials using shrinkage factors for AMMI models. Euphytica 137: 119-127.#Mostafavi, K., Hosseini Imeni, S. S. and Zare, M. 2011. Stability analysis of rice genotypes based GGE biplot method in North of Iran. Journal of Applied Sciences Research 7 (11): 1690-1694.#Roy, D. 2000. Plant breeding analysis and exploitation of variation. Alpha Science International Ltd. UK.#Sabaghnia, N., Dehghani, H. and Sabaghpour, S. H. 2008. Graphic analysis of genotype × environment interaction for lentil (Lens culinaris Medik) yield in Iran. Agronomy Journal
100: 760-764.#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 analyses. Crop Science 45: 2414-2424.#Yan, W., Cornelius, P. L., Crossa, J. and Hunt, L. A. 2001. Two types of GGE biplots for analyzing multi-environment trial data. Crop Science 41: 656-663.#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: 597-605.#Yan, W. and Kang, M. S. 2003. GGE biplot analysis: A graphical tool for breeders, geneticists and agronomists. CRC Press, Boca Raton, FL, USA.#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.#Zobel, R., Wright, W. M. J. and Gauch, H. G. 1988. Statistical analysis of a yield trial. Agronomy Journal 80: 388-393.