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MAGIC populations in crops: current status and future prospects

OAR@ICRISAT

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Relation http://oar.icrisat.org/9286/
http://dx.doi.org/10.1007/s00122-015-2506-0
 
Title MAGIC populations in crops: current status and future prospects
 
Creator Huang, B E
Verbyla, K L
Verbyla, A P
Raghavan, C
Singh, V K
Gaur, P M
Leung, H
Varshney, R K
Cavanagh, C R
 
Subject Agriculture-Farming, Production, Technology, Economics
 
Description The past decade has seen the rise of multiparental populations as a study design offering great advantages for genetic studies in plants. The genetic diversity of multiple parents, recombined over several generations, generates a genetic resource population with large phenotypic diversity suitable for high-resolution trait mapping. While there are many variations on the general design, this review focuses on populations where the parents have all been inter-mated, typically termed Multi-parent Advanced Generation Intercrosses (MAGIC). Such populations have already been created in model animals and plants, and are emerging in many crop species. However, there has been little consideration of the full range of factors which create novel challenges for design and analysis in these populations. We will present brief descriptions of large MAGIC crop studies currently in progress to motivate discussion of population construction, efficient experimental design, and genetic analysis in these populations. In addition, we will highlight some recent achievements and discuss the opportunities and advantages to exploit the unique structure of these resources post-QTL analysis for gene discovery.
 
Publisher Springer
 
Date 2015
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Rights —
 
Identifier http://oar.icrisat.org/9286/1/TAG_128_999%E2%80%931017_2015.pdf
Huang, B E and Verbyla, K L and Verbyla, A P and Raghavan, C and Singh, V K and Gaur, P M and Leung, H and Varshney, R K and Cavanagh, C R (2015) MAGIC populations in crops: current status and future prospects. Theoretical and Applied Genetics, 128 (6). pp. 999-1017. ISSN 0040-5752