Document Type: Original Article

Authors

1 Department of Plant Breeding, Islamic Azad University, Kermanshah Branch, Kermanshah, Iran

2 Campus of Agriculture and Natural Resources, Razi University, Kermanshah, Iran

Abstract

To locate the genes controlling adaptability in bread wheat using AMMI (additive main effect and multiplicative interaction) model, twenty-one substitution lines derived from the parents Chinese Spring (recipient) and Chayan (donor) were used in a randomized complete block design with three replications in three different environments in the Agricultural College of Razi University, Kermanshah, Iran. The results of AMMI analysis indicated significant differences among all sources of variation except AMMI2. AMMI1 explained that 84% of the variability related to genotype × environment interaction. The chromosomes 7A, 2B, 3A, 7D and 4B had the highest grain yield, and chromosomes 4D, 2A, 4A and 5A lowest. AMMI stability value (ASV) ranked chromosomes 5B > 3B > 3A > 6A as the most stable, and 2A > 4A > 7A as unstable. AMMI1 biplot analysis revealed that Chromosomes 3B, 5B and 5D had high stability and medium mean grain yield, whereas the chromosome with both low yield and stability were 2A, 4A, 5A and 4D. The chromosomes 3A, 4B, 7D followed by 2B, were identified as chromosomes with both high yield and stability performance in different environments. Chromosomes 2A and 4A with large AMMI1 score also showed specific adaptability with environment E2, chromosomes 5A and 4D with environment E3, while chromosome 7A with environment E1. The findings indicated that most of the genes controlling adaptability were located on chromosomes 3A in A genome, 4B and 2B in B genome and 7D in D genome, and also chromosomes 2A, 4A, 5A and 4D carried the genes controlling specific adaptability to water stress condition, while the genes responsible for adaptation to irrigated condition were located on chromosome 7A

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Ahmadi, J., Vaezi, B., Fotokian, M. H. (2012). Graphical analysis of multi-environment trials for barley yield using AMMI and GGE-biplot under rain-fed conditions. Journal of Plant Physiology and Breeding, 2(1): 43–54.
Bai, Z. Y., Li, C. D., Feng, L. X., Sun, H. C. (2007). Chromosomal location for drought tolerance as measured by cell membrane stability of common wheat cv. synthetic 6x. Acta Agriculture Boreal-Sinica, 22: 1–4.
Bayoumi, T. Y., Eid, M. H., Metwali, E. M. (2008). Application of physiological and biochemical indices as a screening technique for drought tolerance in wheat genotypes. African Journal of Biotechnology, 7(14): 2341–2352.
Burdon, R. D. (1977). Genetic correlation as a concept for studying genotype-environment interaction in forest tree breeding. Silvae Genetica, 26: 168–175.
Cao, H. X., Zhang, Z. B., Sun, C. X., Shao, H. B., Song, W. Y., Xu, P. (2009). Chromosomal location of traits associated with wheat seedling water and phosphorus use efficiency under different water and phosphorus stresses. International Journal of Molecular Science, 10: 4116–4136.
Crossa, J. (1990) Statistical analysis of multilocation trials. Advances in Agronomy, 44: 55–85.
Delacy, I. H., Basford, K. E., Cooper, M., Bull, J. K. (1996). Analysis of multi-environment trials an historical perspective. Plant Adaptation and Crop Improvement. Eds. M. Cooper and G. L. Hammer.
CAB international, UK
Eberhart, S. A., Russell, W. A. (1966). Stability parameters for comparing varieties. Crop Science, 6: 36–40.
Farshadfar, E. (1999). Path analysis genotype × environment effects interaction in wheat substitution lines. Iranian Journal of Agricultural Science, 30 (4): 665–671.
Farshadfar, E., Sutka, J. (2003). Locating QTLs controlling adaptation in wheat using AMMI model. Creal Research Communication, 31: 249–254.
Farshadfar, E. (2011). Choromosomal localization of the genes controlling adaptation in Agropyron elongatum using a new AMMI–base simultaneous selection index of yield and yield stability. International Journal of Plant Breeding, 5(2): 80–83.
Farshadfar, E., Mahmodi, N., Yaghotipoor, A. (2011). AMMI stability value and simultaneous estimation of yield and yield stability in bread wheat (Triticum aestivum L.) Australian Journal of Crop Science, 5(13): 1837–1844.
Farshadfar, E., Mohammadi, M., Aghaee, M., Vaisi, Z. (2012a). GGE biplot analysis of genotype × environment interaction in wheat-barley disomic addition lines. Australian Journal of Crop Science, 6(6):1074–1079.
Farshadfar, E., Safari, H., Jamshidi, B. (2012b). GGE biplot analysis of adaptation in wheat substitution lines. International Journal of Agriculture and Crop Science, 4(13): 877–881.
Farshadfar, E., Poursiahbidi, M. M., Safavi, S. M. (2013a). Assessment of drought tolerance in land races of bread wheat based on resistance/ tolerance indices. International journal of Advanced Biological and
Biomedical Research,1 (2): 143-158.
Farshadfar, E., Romena, H., Shabani, A. (2013b). Evaluation of genetic parameters in agro- physiological traits of wheat (Triticum aestivum L.) under irrigated condition. International journal of Advanced Biological and Biomedical Research,1 (4): 331-340.
Farshadfar, E., Mahtabi, E., Jowkar, M. M. (2013c). Evaluation of genotype × environment interaction in chickpea genotypes using path analysis. International journal of Advanced Biological and Biomedical
Research,1 (6): 583-593.
Finlay, K. W., Wilkinson, G. N. (1963). The analysis of adaptation in a plant breeding programme. Australian Journal of Agricultural Research, 14: 742–754.
Gauch, H. G. (1992). Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier, Amsterdam, Netherlans
Gauch, H. G., Zobel, R. W. (1997). Identifying mega-environments and targeting genotypes. Crop Science, 37: 311–326
Golestani, S., Assad, M. T. (1998). Evaluation of four screening techniques for drought resistance and their relationship to yield reduction ratio in wheat. Euphytica, 103: 293–299.
Lin, C. S., Binns, M. R., Lefkovitch, L. P. (1986) Stability analysis: Where do we stand? Crop Science, 26: 894– 900.
Mohammadi, R., Abdulahi, A., Haghparast, R., Armion, M. (2007). Interpreting genotype- environment interactions for durum wheat grain yields using non-parametric methods. Euphytica, 157: 239–251.
Mohammadi, R., Amri, A. (2008). Comparison of parametric and non–parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica, 159: 419–432.
Morgan, M. (1991). A gene controlling difference in osmoregulation in wheat. Australian Journal of Plant Physiology, 18: 249–257.
Morgan, J. M., Tan, M. K. (1996). Chromosomal location of a wheat osomregulation gene using RFLP analysis. Australian Journal of Plant Physiology, 23: 803–806.
Naroui Rad, R., Abdul Kadir, M., Hawa, Z. E. J., Gement, D. C. (2012). Physiological and biochemical relationship under drought stress in wheat (Triticum aestivum L.). African Journal of Biotechnology, 11(7): 1574–1578.
Perkins, J. M., Jinks, J. L. (1968). Environmental and genotype-environmental interactions and physical measures of the environment. Heredity, 25: 29–40.
Purchase, J. L., Hatting, H., Vandeventer, C. S. (2000). Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: Π. Stability analysis of yield performance. South African Journal of Plant Soil, 17:101–107.
Shukla, G. K. (1972). Some statistical aspects of partitioning genotype-environmental components of variability. Heredity, 29: 237–245.
Voltas, J., Van, E. F., Igartua, E., García del Moral, L. F., Molina-Cano, J. L., Romagosa, I. (2002).
Genotype by environment interaction and adaptation in barley breeding: Basic concepts and methods of analysis. The Harworth Press Inc., New York, pp. 205–241.
Yamada, Y. (1962). Genotype × environment interaction and genetic correlation of the same trait under different environments. Japan Journal of Genetics, 37: 498–509.
Yan, W. (2002). Singular value partitioning in biplot analysis of multienvironment trial data. Agronomy Journal, 94: 990–996.
Yan, W., Hunt, L. A. (2001). Interpretation of genotype × environment interaction for winter wheat yield in Ontario. Crop Science, 41: 19–25.
Yan, W., Kang, M. S. (2003). GGE biplot analysis: a graphical tool for breeders, geneticists and agronomists. 1st Edn., CRC Press LLC., Boca Roton, Florida, pp 271.
Yan, W., Rajcan, I. (2002). Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Science, 42: 11–20.
Zhang, Z. B., Shan, L., Xu, Q. (2000). Background analysis of genes controlling water use efficiency of Triticum. Acta Genetica Sinica, 3: 240–246.
Zhang, J., Zhang, Z. B., Xie, H. M., Dong, B. D., Hu, M. Y., Xu. P. (2005). Chromosomal positioning of the genes of water use efficiency and concerned physiological traits in wheat leaves. Acta Botanica Boreal Occident Sinica, 25: 1521–1527.
Zobel, R. W., Wright, M. J., Gauch, H. G. (1988) Statistical analysis of a yield trial. Agronomy Journal, 80: 388–39.