Naser SABAGHNIA, Rahmatollah KARIMIZADEH, Mohtasham MOHAMMADI, Mohammad Kazem SHEFAZADEH

Genotype × environment interaction and yield stability analysis of new improved breadwheat genotypes

Yield stability is an interesting feature of today’s wheat breeding programs, due to the high annual variation in mean yield, particularly in the arid and semi-arid areas. Eighteen bread wheat (Triticum aestivum L.) genotypes sourced from different regions were tested for yield stability and performance in four environments between 2007 and 2009 using various stability statistics. The experiment of each environment was laid out in a randomized complete-block design with four replications. Combined analysis of variance of grain yield revealed highly significant differences among genotypes and environments. Significant genotype × environment interaction indicated differential performance of genotypes across environments. Considering coefficient of several linear regression models, including conventional, adjusted, independent and Tai models as well as deviation variance from these models, genotype G2 was the most stable genotypes. Stability assessment on the basis of parameters like environmental variance, coefficient of variation, stability variance, genotypic stability and Superiority Index, genotypes G2 and G5 were the most stable genotypes. The results of principal component analysis of stability statistics and mean yield indicated that slope of linear regression of both conventional and independent models would be useful for simultaneously selecting for high yield and stability. The plot of the first two principal components also revealed that the stability statistics could be grouped as two distinct classes that corresponded to different static and dynamic concepts of stability. Finally, regarding both mean yield and most of stability characteristics, genotypes G2 and G5 were found to be the most stable genotypes. Such an outcome could be employed in the future to delineate rigorous recommendation strategies as well as to help define stability concepts for other crops.

PDF

___

Akcura, M., Y. Kaya, S. Taner, 2005. Genotype-environment interaction and phenotypic stability analysis for grain yield of durum wheat in the central Anatolian region. Turk. J. Agric. For. 29:369–375.
Allard, R.W., A.D. Bradshaw, 1964. Implications of genotype-environmental interactions in applied plant breeding. Crop Sci. 4:503–508.
Annicchiarico, P., 2009. Coping with and exploiting genotype-by-environment interactions. P. 519–564. Plant breeding and farmer participation Edited by Ceccarelli, S., E.P. Guimarães, E. Weltizien, Food and Agriculture Organization of the United Nations FAO. Rome, Italy.
Annicchiarico, P., 1997. Joint regression vs AMMI analysis of genotype-environment interactions for cereals in Italy. Euphytica. 94:53–62.
Annicchiarico, P., 2002. Defining adaptation strategies and yield stability targets in breeding programmes. In M.S. Kang, ed. Quantitative genetics, genomics, and plant breeding, p. 365–383. Wallingford, UK, CABI.
Becker, H.C., 1981. Correlations among some statistical measures of phenotypic stability. Euphytica. 30:835–840.
Becker, H.C., J. Leon, 1988. Stability analysis in plant breeding. Plant Breed. 101:1–23.
Bertero, H.D., A.J. de la Vega, G. Correa, S.E. Jacobsen, A. Mujic, 2004. Genotype and genotype-by-environment interaction effects for grain yield and grain size of quinoa (Chenopodium quinoa Willd.) as revealed by pattern analysis of international multi-environment trials. Field Crops Res. 89:299–318.
Ceccarelli, S., S. Grando, R.H. Booth, 2006. International breeding programmes and resource-poor farmers: crop improvement in difficult environments. The International Center for Agricultural Research in the Dry Areas (ICARDA), Aleppo, Syria.
Crossa, J., 1990. Statistical analysis of multilocation trials. Advan. Agron. 44:55–86.
Crossa, J., P.L. Cornelius, W. Yan, 2002. Biplots of linear–bilinear models for studying cross-over genotype x environment interaction. Crop Sci. 42:619–633.
Dehghani, H., S.H. Sabaghpour, N. Sabaghnia, 2008. Genotype × environment interaction for grain yield of some lentil genotypes and relationship among univariate stability statistics. Spanish J. Agric. Res. 6:385–394.
Eberhart, S.A., W.A. Russell, 1966. Stability parameters for comparing varieties. Crop Sci. 6:36–40.
Erkul, A., A. Ünay, C. Konak, 2010. Inheritance of yield and yield components in a bread wheat (Triticum aestivum L.) Cross. Turk. J. Field Crops 15:137–140.
Finlay, K.W., G.N. Wilkinson, 1963. The analysis of adaptation in a plant breeding programme. Aus. J. Agric. Res. 14:742–754.
Flores, F., M.T. Moreno, J.I. Cubero, 1998. A comparison of univariate and multivariate methods to analyze environments. Field Crops Res. 56:271–286.
Francis, T.R., L.W. Kannenberg, 1978. Yield stability studies in short-season maize: I. A descriptive method for grouping genotypes. Can. J. Plant Sci. 58:1029–1034.
Freeman, G.H., J.M. Perkins, 1971. Environmental and genotype-environmental components of variability VIII. Relations between genotypes grown in different environments and measures of these environments. Heredity. 27:15–23.
Gauch, H.G., H.P. Piepho, P. Annicchiaricoc, 2008. Statistical analysis of yield trials by AMMI and GGE. Further considerations. Crop Sci. 48:866–889.
Hanson, W.D., 1970. Genotypic stability. Theor. Appl. Genet. 40:226–231.
Hussein, M.A., A. Bjornstad, A.H. Aastveit, 2000. SASG x ESTAB, A SAS program for computing genotype x environment stability statistics. Agron. J. 92:454–459.
Kang, M.S., N. Pham, 1991. Simultaneous selection for high yielding and stable crop genotypes. Agron. J. 83:161–163.
Karimizadeh, R., M. Mohammadi, N. Sabaghnia, M.K. Shefazadeh, J. Pouralhossini, 2012. Univariate stability analysis methods for determining genotype × environment interaction of durum wheat grain yield. African J. Biotech. 11:2563–2573.
Kusaksiz, T., S. Dere, 2010. A study on the determination of genotypic variation for seed yield and its utilization through selection in durum wheat (Triticum durum Desf.) mutant populations. Turk. J. Field Crops 15:188–192.
Lin, C.S., M.R. Binns, 1988. A superiority measure of cultivar performance for cultivar × location data. Can. J. Plant Sci. 68:193–198.
Lin, C.S., M.R. Binns, L.P. Lefkovitch, 1986. Stability analysis: where do we stand? Crop Sci. 26:894–900.
Mohebodini, M., H. Dehghani, S.H. Sabaghpour, 2006. Stability of performance in lentil (Lens culinaris Medik) genotypes in Iran. Euphytica. 149:343–352.
Naghavi, A., O. Sofalian, A. Asghari, M. Sedghi, 2010. Relation between freezing tolerance and seed storageproteins in winter bread wheat (Triticum aestivum L.). Turk. J. Field Crops 15:154–158.
Perkins, J.M., J.L. Jinks, 1968. Environmental and genotype-environmental components of variability. Heredity. 23:339–356.
Peterson, C.J., P.S. Graybosch, P.S. Baenziger, A.W. Grombacher, 1992. Genotype and environment effects on quality characteristics of hard red winter wheat. Crop Sci. 32:98–103.
Pinthus, J.M., 1973. Estimate of genotype value: a proposed method. Euphytica. 22:121–123.
Rao, A.R., V.T. Prabhakaran, 2005. Use of AMMI in simultaneous selection of genotypes for yield and stability. J. Indian Soc. Agric. Stat. 59:76–82.
Sabaghnia, N., H. Dehghani, S.H. Sabaghpour, 2006. Nonparametric methods for interpreting genotype × environment interaction of lentil genotypes. Crop Sci. 46:1100–1106.
Sabaghnia, N., H. Dehghani, S.H. Sabaghpour, 2008. Graphic analysis of genotype by environment interaction for lentil yield in Iran. Agron. J. 100:760–764.
Shukla, G.K. 1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity. 29:237–245.
Tai, G.C.C., 1971. Genotypic stability analysis and application to potato regional trials. Crop Sci. 11:184–190.
Wricke, G., 1962. Über eine Methode zur Erfassung derökologischen Streubreite in Feldversuchen. Z. Pflanzenz 47:92–96.
Yau, S.K., 1995. Regression and AMMI analyses of genotype × environment interactions: An empirical comparison. Agron. J. 87: 121–126.