Mechanism of Generating MAGIC Population and Its Utility for Crop Improvement
Tarkeshwar*
Dept. of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh (224 229), India
O. P. Verma
Dept. of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh (224 229), India
Shiva Nath
Dept. of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh (224 229), India
Amit Kumar Chaudhary
Dept. of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh (224 229), India
Pradip Kumar Saini
Dept. of Crop Physiology, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh (224 229), India
DOI: NIL
Keywords: Advanced intercross line, Biparental linkage analysis, Linkage disequilibrium mapping, MAGIC population
Abstract
The identification of gene-trait associations for complex (multi-genic) traits needs a mapping population. Mainly two methods viz., biparental crosses and association mapping or linkage disequilibrium mapping, have been used for a long time in the identification of gene-trait associations. The major disadvantage of a biparental population are narrow genetic base, reduction of genetic heterogeneity and only two allelic variations can be analysed in these populations. Association mapping requires large samples and is predominantly influenced by unknown population structure. Recently, the QTL mapping using multi-parent populations has become very popular. The use of MAGIC populations for QTL analysis can fill the gap between biparental mapping and association mapping using natural or breeding populations. MAGIC provides more abundant genetic diversity than a biparental population and higher allele balanced frequency than the panels consisting of diverse accessions in AM and increased mapping resolution by taking the advantages of both historical and synthetic recombination.
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Reference
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