Akbarpour, O., Dehghani, H., Sorkhi, B., Gauch, Jr., H. G. (2014). Evaluation of Genotype×Environment Interaction in Barley (Hordeum Vulgare L.) Based on AMMI model Using Developed SAS Program. , 16(4), 909-920.
O. Akbarpour; H. Dehghani; B. Sorkhi; H. G. Gauch, Jr.. "Evaluation of Genotype×Environment Interaction in Barley (Hordeum Vulgare L.) Based on AMMI model Using Developed SAS Program". , 16, 4, 2014, 909-920.
Akbarpour, O., Dehghani, H., Sorkhi, B., Gauch, Jr., H. G. (2014). 'Evaluation of Genotype×Environment Interaction in Barley (Hordeum Vulgare L.) Based on AMMI model Using Developed SAS Program', , 16(4), pp. 909-920.
Akbarpour, O., Dehghani, H., Sorkhi, B., Gauch, Jr., H. G. Evaluation of Genotype×Environment Interaction in Barley (Hordeum Vulgare L.) Based on AMMI model Using Developed SAS Program. , 2014; 16(4): 909-920.

Evaluation of Genotype×Environment Interaction in Barley (Hordeum Vulgare L.) Based on AMMI model Using Developed SAS Program

Journal of Agricultural Science and Technology
Article 19, Volume 16, Issue 4, 2014, Pages 909-920    PDF (865.81 K)
Authors
O. Akbarpour1; H. Dehghani* 2; B. Sorkhi3; H. G. Gauch, Jr.4
1Department of Plant Breeding, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran
2Department of Plant Breeding, Faculty of Agriculture, Tarbiat Modares University, Tehran, Islamic Republic of Iran.
3Seed and Plant Improvement Institute, Karaj, Iran
4Department Crop and Soil Sciences, 519 Bradfield Hall, Cornell University, Ithaca, NY 14853, USA
Abstract
Understanding the implication of genotype-by-environment interaction (GEI) and improving stability of crop yield in a target production environment is important in plant breeding. In this research, we used the AMMI (Additive Main Effects and Multiplicative Interaction) model to identify the stable genotype(s) by predictive accuracy of yield data. Results of this study indicated that the FGH tests were useful to identify the best truncated AMMI model. In general, FGH1 and FGH2 tests had similar results. The findings of this study confirmed that the AMMI-4 was the best truncated AMMI model to distinguish the general and specific stability of genotypes across environments for recommending them to farmers. Based on AMMI-4 yield prediction, G15 and G17 were identified as useful genotypes for some environments, while G14 was found as a stable genotype in all environments.
Keywords
F-test; Stability; Truncated AMMI model; Yield prediction
References
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