Abstract
Diverse Asian rice (Oryza sativa) germplasm has been used to identify associations between various quantitative traits and RAPD molecular markers using multiple regression analysis. This has allowed us to predict for other samples of germplasm their performance for traits such as culm length and number, days to flowering, grain width, and panicle and leaf length using only RAPD marker data. Such predictive capability is possible because of the availability of extensive diversity held in genebanks, and can be used in the future to facilitate the exploitation of that biodiversity. More specifically the methodology could facilitate crop improvement by rapid ideotype prediction. For the mapping and isolation of QTLs (genes controlling quantitative traits) the method would provide information to guide the selection of parental material for hybridization and markers expected to show linkage to QTLs. It may also be possible that these associations could lead the way towards marker-assisted selection during breeding programs. In the future, this demonstration of association between markers and easily measured traits could also be extended to the study of important adaptive traits, such as stress tolerance, found either within germplasm collections or in natural populations.
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References
Draper, N, and Smith, H. 1981. Applied Regression Analysis, 2nd edn. John Wiley and Sons, New York.
Howell, E C, Newbury, H J, Swennen, R L, Withers, L A, and Ford-Lloyd, B V. 1994. The use of RAPD for identifying and classifying Musa germplasm. Genome, 37, 328–332.
IBPGR-IRRI Rice Advisory Committee, 1980. Descriptors for Rice (Oryza sativa L). International Rice Research Institute, Manila, Phillipines.
Jackson, M. 1994. Preservation of rice strains. Nature, 371, 470.
Jackson, M, and Huggan, R. 1993. Sharing the diversity of rice to feed the world. Diversity, 9, 22–25.
Kurata, N, Nagamura, Y, Yamamoto, K. et al. 1994. A 300 kilobase interval genetic map of rice including 883 expressed sequences. Nature Genetics, 8, 365–372.
Mather, K, and Jinks, J L. 1982. Bwmetrical Genetics, 3rd edn. Chapman and Hall, London.
Rohlf, F J. 1992. NTSYS-PC: numerical taxonomy and multivariate analysis system. Exeter Software, New York.
SAS 1990. SAS/STAT User's Guide. Version 6, 4th edn, vol. 1. SAS Institute Inc., Cary NC.
Stomberg, L D, Dudley, J W, and Rufener, G K. 1994. Comparing conventional early generation selection with molecular marker assisted selection in Maize. Crop Sci, 34, 1221–1225.
Virk, P S, Ford-Lloyd, B V, Jackson, M T, and Newbury, H J. 1995a. Use of RAPD for the study of diversity within plant germplasm collections. Heredity, 74, 170–179.
Virk, P S, Newbury, H J, Jackson, M T, and Ford-Lloyd, B V. 1995b. The identification of duplicate accessions within a rice germplasm collection using RAPD analysis. Theor Appl Genet, 90, 1049–1055.
Welsh, J, and McClelland, J. 1990. Fingerprinting genomes using PCR with arbitrary primers. Nucl Acids Res, 18, 7213–7218.
Williams, J G K, Kubelik, A R, Livak, K J, Rafalski, J A, and Tingey, S V. 1990. DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucl Acids Res, 18, 6531–35.
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Virk, P., Ford-Lloyd, B., Jackson, M. et al. Predicting quantitative variation within rice germplasm using molecular markers. Heredity 76, 296–304 (1996). https://doi.org/10.1038/hdy.1996.43
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DOI: https://doi.org/10.1038/hdy.1996.43
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