MULTI-PARENT ADVANCED GENERATION INTERCROSS (MAGIC) POPULATION FOR GENOME MAPPING IN PLANT

LINCOLN MANDAL¹*, SUNIL KUMAR VERMA², SAUGATA SASMAL³, ANJU RANI EKKA⁴, JAWAHAR LAL KATARA⁵, Anil S. Kotasthane^6
1Department of Agriculture and Biotechnology, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012, India
²Department of Genetics and Plant Breeding, CARS, Bemetara, IGKV, Raipur, 491335, India
³Krishi Vigyan Kendra, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012, India
⁴Department of Agriculture and Biotechnology, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012, India
⁵Department of Plant Biotechnology, National Rice Research Institute, Cuttack, Odisha, 753006, India
⁶Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012
* Corresponding Author : lincolndbt@gmail.com

Received : 01-03-2018     Accepted : 12-03-2018     Published : 30-03-2018
Volume : 10     Issue : 2       Pages : 343 - 345
Genetics 10.2 (2018):343-345
DOI : http://dx.doi.org/10.9735/0975-2862.10.2.343-345

Keywords : MAGIC population, Precise QTLs mapping, Linkage map construction
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012. Author also thankful to National Rice Research Institute, Cuttack, Odisha, 753006
Author Contribution : All author equally contributed.

The multiparent advanced generation inter-cross (MAGIC) population is one of a new generation emerging mapping population for plant genetics study. They are generally created by intercrossing multiple founder lines over several generations. The MAGIC populations offer an alternative to traditional linkage or association mapping populations by increasing the precision of quantitative trait loci (QTL) mapping resolution and analysis of gene–trait association by taking the advantages of both historical and synthetic recombination. MAGIC offer great potential both for dissecting genomic structure and for improving breeding populations.

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