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Application of GGE biplot analysis to evaluate grain yield stability of rainfed spring durum wheat genotypes and test locations by climatic factors in Iran | ||
| Crop Breeding Journal | ||
| مقاله 5، دوره 6، شماره 2، بهمن 2016، صفحه 41-49 اصل مقاله (902.06 K) | ||
| شناسه دیجیتال (DOI): 10.22092/cbj.2016.107106 | ||
| نویسندگان | ||
| R. Karimizadeh* 1؛ A. Asghari2؛ R. Chinipardaz2؛ O. Sofalian2؛ A. Ghaffari3 | ||
| 1Faculty of Agriculture, University of Mohaghegh Ardabili, Ardabil, Iran. Dryland Agricultural Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Ghachsaran, Iran | ||
| 2Faculty of Agriculture, University of Mohaghegh Ardabili, Ardabil, Iran. | ||
| 3West Azarbaijan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Urmia, Iran | ||
| چکیده | ||
| Grain yield stability is an important feature of crop breeding programs due mainly to the high annual variation in mean yield, particularly in arid and semi-arid areas. Conventional statistical models of stability analysis provide little or no insight into patterns of genotype × environment (GE) interaction, though the genotype plus GE (GGE) biplot method can more effectively account for the under GE interaction patterns. This study evaluated the yield stability of 20 spring durum wheat genotypes grown in five different warm locations in Iran across four cropping cycles (2009-2013) and used GGE biplot analysis to evaluate the yield stability of the genotypes and test locations by climatic factors. The combined analysis of variance revealed that the main effects of genotypes, locations, and years were significant, as well as the corresponding interaction effects. A polygon view of GGE biplot indicated that there were three winning genotypes (G10, G8, and G20) in three mega-environments for durum wheat in rainfed conditions. An ideal test location view of the GGL biplot showed that Gachsaran is the most desirable test location; genotype evaluation at this location maximized the observed genotypic variation among genotypes for durum wheat grain yield. Useof GGE biplots facilitated visual comparisons and identification of superior durum wheat genotypes for each target location. Genotype G10 was better than the other genotypes and is recommended for warm rainfed spring durum wheat growing areas of Iran. | ||
| کلیدواژه‌ها | ||
| GE interaction؛ Grain yield؛ multi-environment trials؛ Stability | ||
| مراجع | ||
|
Becker, H. C., and J. Leon. 1988. Stability analysis in plant breeding. Plant Breed. 101: 1–23.
Burgueno, J., J. Crossa, and M. Vargas. 2001. SAS programs for graphing GE and GGE biplots. Biometrics and Statistics Unit, CIMMYT, Int. Mexico, DF.
Cooper, M., R. E. Stucker, I. H. DeLacy, and B. D. Harch. 1997. Wheat breeding nurseries, target environments, and indirect selection for grain yield. Crop Sci. 37: 1168–1176.
Crossa, J., and P. L. Cornelius.1997. Site regression and shifted multiplicative model clustering of cultivar trials sites under heterogeneity of error variances. Crop Sci. 37: 406–415.
Dehghani, H., A. Ebadi, and A. Yousefi. 2006. Biplot analysis of genotype by environment interaction for barley yield in Iran. Agron. J. 98: 388–393.
Dehghani, H., N. Sabaghnia, and M. Moghaddam. 2009. Interpretation of Genotype-by-Environment Interaction for late maize hybrids grain yield using a biplot method. Turk.J. Agric. Forest. 33: 139–148.
Ebadi-Segherloo, A., S. H. Sabaghpour, H. Dehghani, and M. Kamrani. 2010. Screening of superior chickpea genotypes for various environments of Iran using genotype plus genotype × environment (GGE) biplot analysis. J. Plant Breed. Crop Sci. 2: 286–292.
Flores F., M. T. Moreno, and J. I. Cubero.1998. A comparison of univariate and multivariate methods to analyze environments. Field Crops Res. 56: 271–286.
Food and Agricultural Organization. 2015. FAO statistical yearbook. Part 3. Trends in the crop sector. FAO, Rome.
Gauch, H. G., and R. W. Zobel. 1996. AMMI analysis of yield trials. Pp. 85–122. In Kang, M.S. and H.G. Gauch (eds.) Genotype-by-environment interaction. CRC Press, Boca Raton, Florida, USA.
Gauch, H. G., and R. W. Zobel.1997. Identifying mega-environments and targeting genotypes. Crop Sci. 37: 311–326.
Gollob, H. F. 1968. A statistical model, which combines, features of factor analytic and analysis of variance techniques. Psychometrika 33: 73–115.
Haldane, J. B. S. 1946. The interaction of nature and nurture. Ann. Eugenics 13: 197–205.
Kang, M. S., and H. N. Pham. 1991. Simultaneous selection for high yielding and stable crop genotypes. Agron. J. 83: 161–165.
Karimizadeh, R. A., M. Mohammadi, N. Sabaghnia, A. A. Mahmoodi, B. Roustami, F. Seyyedi, and F. Akbari. 2013. GGE biplot analysis of yield stability in multi-environment trials of lentil genotypes under rainfed condition. Not. Sci. Biol. 5(2): 256-262.
Ma, J., C. Y. Zhang, G. J. Yan, and C. J. Liu. 2013. Improving yield and quality traits of durum wheat by introgressing chromosome segments from hexaploid wheat. Genet. Mol. Res. 12: 6120–6129.
Mohammadi, M., and R. Karimizadeh. 2013. Challenges and research opportunities for wheat production in warm dryland regions of Iran. Agric. Forest. 59(3): 163-173.
Mohammadi, R., and A. Amri. 2012. Analysis of genotype-environment interaction in rainfed durum wheat of Iran using GGE-biplot and non-parametric methods. Can. J. Plant Sci. 92: 757–770.
Mohammadi, R., R. Haghparast, A. Amri, and A. Ceccarelli. 2010. Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials. Crop and Pasture Sci. 61: 92–101.
Sabaghnia, N. 2014. Study of grain yield and several morphological traits diversity in some durum wheat genotypes. Annal. Univ. Mar. Pol. 3: 11-19.
Sabaghnia, N., H. Dehghani, and S. H. Sabaghpour. 2008. Graphic analysis of genotype × environment interaction of lentil yield in Iran. Agron. J. 100: 760–764.
Sabaghnia, N., H. Dehghani, and S. H. Sbaghpour. 2006. Nonparametric methods for interpreting genotype by environment interaction of lentil genotypes. Crop Sci. 46: 1100-1106.
Sabaghnia, N., R. Karimizadeh, and M. Mohammadi. 2013. GGL biplot analysis of durum wheat (Triticum turgidum spp. durum) yield in multi-environment trials. Bulg. J. Agric. Sci. 19: 756-765.
Yan, W., and M. S. Kang. 2003. GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton, Florida, USA.
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.
Yan, W., and I. Rajcan. 2002. Biplot evaluation of test sites and trait relations of soybean in Ontario. Crop Sci. 42: 11–20.
Yan, W., and L. A. Hunt. 2002. Biplot analysis of diallel data. Crop Sci. 42: 21–30.
Yan, W. 2002. Singular value partitioning in biplot analysis of multi-environment trial data. Agron. J. 94: 990–996.
Yan, W., M. S. Kang, B. Ma, S. Woods, and P. L. Cornelius. 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci. 47: 643–655.
Yan, W., L. A. Hunt, Q. Sheng, and Z. Szlavnics. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40: 597–605.
Yang, R. C., J. Crossa, P. L. Cornelius, and J. Burgueño. 2009. Biplot analysis of genotype × environment interaction: proceed with caution. Crop Sci. 49: 1564–1576.
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