Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/95147
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Type: Journal article
Title: MAGIC populations in crops: current status and future prospects
Author: Huang, B.
Verbyla, K.
Verbyla, A.
Raghavan, C.
Singh, V.
Gaur, P.
Leung, H.
Varshney, R.
Cavanagh, C.
Citation: Theoretical and Applied Genetics, 2015; 128(6):999-1017
Publisher: Springer
Issue Date: 2015
ISSN: 0040-5752
1432-2242
Statement of
Responsibility: 
B. Emma Huang, Klara L. Verbyla, Arunas P. Verbyla, Chitra Raghavan, Vikas K. Singh, Pooran Gaur, Hei Leung, Rajeev K. Varshney, Colin R. Cavanagh
Abstract: KEY MESSAGE: MAGIC populations present novel challenges and opportunities in crops due to their complex pedigree structure. They offer great potential both for dissecting genomic structure and for improving breeding populations. ABSTRACT: 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.
Keywords: Crops, Agricultural; Chromosome Mapping; Crosses, Genetic; Breeding; Epistasis, Genetic; Genotype; Phenotype; Quantitative Trait Loci; Agriculture; Genetic Variation; Genetic Linkage
Rights: © Springer-Verlag Berlin Heidelberg 2015
RMID: 0030027098
DOI: 10.1007/s00122-015-2506-0
Grant ID: http://purl.org/au-research/grants/arc/DE120101127
Appears in Collections:Agriculture, Food and Wine publications

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