Summary
To locate QTLs controlling adaptation, wheat substitution lines of Cheyenne (Donor) into the genetic background of Chinese Spring (Recipient) were tested in a randomized completely block design with three replications under rainfed and irrigated conditions across two years. AMMI analysis showed a highly significant genotype × environment interaction indicating large variation among substitution lines and possible localization of QTLs controlling adaptation. The first and second IPCA were highly significant and covered 69% and 29% of the G × E interaction SS, respectively. According to the IPCA1 and IPCA2, QTLs controlling phenotypic stability were located on chromosomes 4A and 5A in the A genome, 4B in the B genome and 2D and 7D in the D genome. Biplot of IPC 1 and mean grain yield revealed that QTLs responsible for general adaptability (rainfed and irrigated conditions) are located on chromosome 4B with above average grain yield. G × E biplot between IPC1 and IPC2 exhibited that chromosomes 3A, 4A, 3D and 7D carry the genes monitoring specific adaptability for rainfed condition, while the QTLs controlling specific adaptation for irrigated condition are located on chromosome 1 A, 3B, ID, and 7D.
Similar content being viewed by others
References
Clay, H. Sneller, Don Dombek. 1995. Comparing Cultivar Ranking and Selection for yield with AMMI and full-Data performance estimates. Crop Sci. 35:1536–1541.
Cornelius, P. L. 1993. Statistical tests and retention of terms in the Additive Main Effects and Multiplicative Interaction Model for Cultivar Trials. Crop Sci. 33:1186–1193.
Crossa, J. 1990a. Statistical analysis of multilocation trials. Advances in Agronomy. Vol, 44.
Crossa, J., H. G. Gauch, Jr., R.W. Zobel. 1990b. Additive Main Effect and Multiplicative Interaction Analysis of two International Maize Cultivar Trials. Crop Sci. 30:493–500.
Crossa. J., P. N. Fox, W. H. Pfeiffer, S. Rajaram, and Gauch, H. G. 1991. AMMI adjustment for statistical analysis of an international wheat yield trial. Theor. Appl. Genet. 81:27–37.
Farshadfar, E. 1995. Genetic Control of Drought Tolerance in Wheat. Ph.D. Thesis.
Farshadfar, E. 1998. Application of Biometrical Genetics in Plant Breeding. Vol 2. Razi University Press. Kermanshah Iran.
Farshadfar, E., M. Farshadfar, and Sutka, J. 1999. Genetic analysis of phenotypic stability parameters in wheat. Acta Agronomica Hungarica. 47(2):109–116.
Farshadfar, E. M. Farshadfar and Sutka, J. 2000. Combining ability analysis of drought tolerance in wheat over different water reqimes. Acta Agronomica Hungarica. 48(4):353–361.
Finlay, K. W. and Wilkson, G. N. 1963. The analysis of adaptation in a plant-breeding program. Aust. J. Agric. Res. 14:742–754.
Freeman, G. H. 1973. Statistical methods for the analysis of genotype-environment interactions. Heredity. 31:339–354.
Gabriel, K. R. 1971. The biplot graphic display of matrices with application to principal component analysis. Biometrika. 58:453–467.
Galiba, G., R. Kocsy, J. Sutka, and Galston, A. W. 1993. Chromosomal localization of osmotic and salt stress-induced differential alterations in polyamine content in wheat. Plant Sci. 92:203–211.
Gauch, H. G. 1982. Noise reduction by eigen vector ordinations. Ecology. 63:143–1649.
Gauch, H. G. 1988. Model selection and validation for yield trials with interaction. Biometrics 88:705–716.
Giauffret, C., J. Lothrop, D. Dorvillez, B. Gouesnard, Derieux, M. 2000. Genotype × Environment Interaction in Maize Hybrids from Temperate or Highland Tropical origin. Crop Sci. 40:1004–1012.
Gollob, H. F. 1968. A statistical model which combines features of factor analytic and analysis of variance techniques. Psychometrica. 33:73–115.
Kearsey, M., and Pooni, H.S. 1998. The Genetical Analysis of Quantitative Traits. Chapman and Hall. U. K.
Kempton, R. A. 1984. The use of biplots in interpreting variety by environment interaction. J. Agric. Sci. 103:125–135.
Kroonenberg, P. M. 2000. Introduction to biplots for G × E tables. Center for Statistics. University of Queensland. Researches report 51.
Mandel, J. 1969. The partitioning of interaction in analysis of variance. Mathematical Sciences. 73:309–328.
Romagosa, I., and Fox, P. N. 1994. Genotype × environment interaction and adaptation. In:.
Hayward, M. D., Bosemark, N. D. and Romagosa, I. 1994. Plant Breeding, Principles and Prospects. Chapman and Hall. U.K.
Safari, H. 2001. Evaluation of GE interaction and drought tolerance in wheat substitution lines using AMMI model. M. Sc thesis. College of Agriculture, Razi University, Kermanshah, Iran.
Snedecor, G. W., and Cochran, W. G. 1989. Statistical methods. Iowa State University Press, Ames/IO.
Weikai Yan, L. A. Hant, Qinglai Sheng, and Zorka Szalvnics. 2000. Cultivar Evaluation and Mega-Environment Investigation Based on the GGE Biplot. Crop Sci. 40:597–605.
Wright, A. J. 1971. The analysis and prediction of some two factor interactions in grass breeding. J. Agric. Sci. 76:301–306.
Zobel, R. W., M. J. Wright and H. G. Gauch, Jr. 1988. Statistical analysis of yield trial. Agron. J. 80:388–393.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Farshadfar, E., Sutka, J. Locating QTLs controlling adaptation in wheat using AMMI model. CEREAL RESEARCH COMMUNICATIONS 31, 249–256 (2003). https://doi.org/10.1007/BF03543351
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/BF03543351