Abstract
Ten winter wheat (Triticum aestivum L.) cultivars were tested in randomized complete block design (RCBD) trials at one location (Osijek) for several agronomic and quality traits through six growing seasons (1996/97–2001/02). Data were employed to develop modeling strategy for exploring genotype by environment interaction (GEI) by using models based on information on genotypic and environmental variables. The relative size, hence importance of the GEI compared to main effects of genotypes and environments was estimated for all effects from simple additive model (genotypes, environments and residuals, last including both GEI and experimental error) while the AMMI2 model was used as a basis for comparison of the GEI patterns. The final step in modeling strategy was fitting factorial regression models to all analyzed traits using available genotypic and environmental covariates, until the best fit solution was found for each analyzed trait.
Comparing the relative sizes of genotypic and GEI effects, the last one was sizeable smaller, for all traits except grain yield (GY), thousand-kernel weight (TKW), and Hagberg falling number (HFN). Fitting of genotypic and environmental covariates resulted in various solutions for different traits, most frequently employing single genotypic covariate — Glu-A1.
Regardless of their relatively small size, the GEI effects in wheat quality traits can offer a better insight into fluctuations of varietal quality over a range of environmental conditions, as they can be successfully modeled using various genotypic and environmental covariates. The advantage of described approach is attainable in virtually any breeding program, because during the implementation of the program breeders routinely score for a number of genotypic and environmental variables.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Anonymous 1994a. Determination of sedimentation value (ac. to Zeleny) as an approximate measure of baking quality. ICC Standard No. 116/1, ICC, Vienna, Austria.
Anonymous 1994b. Determination of the “Falling Number” according to Hagberg-Perten as a measure of the degree of alpha-amylase activity in grain and flour. 1995. ICC Standard No. 107/1, International Association for Cereal Science and Technology, Vienna, Austria.
Anonymous 1994c. Determination of wet gluten quantity and quality (Gluten Index ac. to Perten) of Whole Wheat Meal and Wheat Flour (Triticum aestivum). 1994. ICC Standard No. 155, International Association for Cereal Science and Technology, Vienna, Austria.
Finlay, K.W., Wilkinson, G.N. 1963. The analysis of adaptation in a plant-breeding programme. Aust. J. Agric. Res. 14:742–754.
Gauch, H.G. 1992. Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier, Amsterdam, The Netherlands.
Gut, M., Bichonski, A. 2007. Technological quality and yield’s components of winter wheat lines under Polish climatic conditions. Cereal Res. Commun. 35:151–161.
Nachit, M.M., Nachit, G., Ketata, H., Gauch, H.G., Zobel, R.W. 1992. Use of AMMI and linear regression models to analyze genotype-environment interaction in durum wheat. Theor. Appl. Genet. 83:597–601.
Peña, R.J., Trethowan, R., Pfeiffer, W.H., van Ginkel, M. 2002. Quality (end-use) improvement in wheat: compositional, genetic, and environmental factors. J. Crop Production 5:1–37.
Peterson, C.J., Graybosch, R.A., Shelton, D.R., Baenziger, P.S. 1998. Baking quality of hard winter wheat: Response of cultivars to environment in the Great Plains. Euphytica 100:157–162.
Rharrabti, Y., Villegas, D., Royo, C., Martos-Nunez, V., Garcia del Moral, L.F. 2003a. Durum wheat quality in Mediterranean environments. II. Influence of climatic variables and relationships between quality parameters. Field Crops Res. 80:133–140.
Rharrabti, Y., Garcia del Moral, L.F., Villegas, D., Royo, C. 2003b. Durum wheat quality in Mediterranean environments. III. Stability and comparative methods in analyzing G × E interaction. Field Crops Res. 80:141–146.
Robert, N., Denis, J.B. 1996. Stability of baking quality in bread wheat using several statistical parameters. Theor. Appl. Genet. 93:172–178.
Robert, N. 1997. Structuring genotype × environment interaction for quality traits in bread wheat, in two multi-location series of trials. Euphytica 97:53–66.
SAS Institute, 2009. SAS/STAT(R) 9.2 User’s Guide, Second Edition. http://support.sas.com/documentation/onlinedoc/stat/
Shukla, G.K. 1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity 29:237–245.
Tabiki, T., Ikeguchi, S., Ikeda, T.M. 2006. Effects of high-molecular weight and low-molecular weight glutenin subunit alleles on common wheat flour quality. Breeding Sci. 56:131–136.
van Eeuwijk, F.A., Denis, J.-B., Kang, M.S. 1996. Incorporating additional information on genotypes and environments in models for two-way genotype by environment tables. In: Kang, M.S., Gauch, H.G. (eds.), Genotype-by-Environment Interaction. CRC Press, Boca Raton, Florida, USA, pp. 15–49.
Williams, R.M., O’Brien, L.O., Eagles, H.A., Solah, V.A., Jayasena, V. 2008. The influences of genotype, environment, and genotype × environment interaction on wheat quality. Aust. J. Agric. Res. 59:95–111.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
About this article
Cite this article
Drezner, G., Gunjača, J., Novoselović, D. et al. Interpretation of GEI effect analysis for some agronomic and quality traits in ten winter wheat (Triticum aestivum L.) cultivars. CEREAL RESEARCH COMMUNICATIONS 38, 259–265 (2010). https://doi.org/10.1556/CRC.38.2010.2.12
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1556/CRC.38.2010.2.12