Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/51562
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Type: Journal article
Title: Analytical approaches and population types for finding and utilizing QTL in complex plant populations
Author: Sneller, C.
Mather, D.
Crepieux, S.
Citation: Crop Science, 2009; 49(2):363-380
Publisher: Crop Science Soc Amer
Issue Date: 2009
ISSN: 0011-183X
1435-0653
Statement of
Responsibility: 
C. H. Sneller, D. E. Mather and S. Crepieux
Abstract: In the past decade plant geneticists began using complex plant populations to identify QTL by association analysis, and the practice is becoming commonplace. Plant populations present unique challenges for association analyses. Plant populations vary in complexity and structure and analyses generally derived from human genetics have been applied to them in a broad fashion. We review analytical techniques and their application in different plant populations. Analyses were classified as either family-based (FBAA) or population-based (PBAA). Over time, the different analyses have been generalized to accommodate a variety of populations, and are complementary. The PBAA are suited for populations with individuals that share little ancestry. Use of PBAA in these types of populations has dominated plant association analyses with success, though PBAA is unlikely to detect some important QTL in highly structured populations. Both PBAA and FBAA are suited for populations of related individuals. The use of FBAA in a breeding population warrants special attention due to features such as large population size, availability of phenotypic data, immediate relevance to marker-assisted selection, ease of QTL validation, and the computational simplicity of tests that require linkage for significance. Specific recommendations for PBAA and FBAA are made as well as some suggestions for future directions of research.
Rights: © 2009. Crop Science Society of America
RMID: 0020090399
DOI: 10.2135/cropsci2008.07.0420
Appears in Collections:Agriculture, Food and Wine publications

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