Predicting quantitative variation within rice germplasm using molecular markers

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 n...

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Bibliographic Details
Published in:Heredity 1996-03, Vol.76 (3), p.296-304
Main Authors: Virk, Parminder S, Ford-Lloyd, Brian V, Jackson, Michael T, Pooni, Harpal S, Clemeno, Tomas P, Newbury, H John
Format: Article
Language:English
Subjects:
Biological and medical sciences
Biomedical and Life Sciences
Biomedicine
Classical genetics, quantitative genetics, hybrids
Cytogenetics
Ecology
Evolutionary Biology
Fundamental and applied biological sciences. Psychology
Genetics of eukaryotes. Biological and molecular evolution
Human Genetics
original-article
Oryza sativa
Plant Genetics and Genomics
Pteridophyta, spermatophyta
Vegetals
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Summary: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.
ISSN:0018-067X
1365-2540
DOI:10.1038/hdy.1996.43