Full TGIF Record # 148092
Item 1 of 1
DOI:10.2135/cropsci2008.07/0420
Web URL(s):https://dl.sciencesocieties.org/publications/cs/pdfs/49/2/363
    Last checked: 11/16/2016
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https://dl.sciencesocieties.org/publications/cs/articles/49/2/363
    Last checked: 11/16/2016
    Access conditions: Item is within a limited-access website
Publication Type:
i
Refereed
Author(s):Sneller, C. H.; Mather, D. E.; Crepieux, S.
Author Affiliation:Sneller: Department of Horticulture and Crop Science, The Ohio Agriculture Research and Development Center, The Ohio State University, Wooster, Ohio; Mather: Molecular Plant Breeding Cooperative Research Center, School of Agriculture Food and Wine, The University of Adelaide, Glen Osmond, South Australia, Australia; Crepieux: Plant Design Consulting, Bruxelles, Belgium
Title:Analytical approaches and population types for finding and utilizing QTL in complex plant populations
Section:Review & interpretation
Other records with the "Review & interpretation" Section
Source:Crop Science. Vol. 49, No. 2, March/April 2009, p. 363-380.
Publishing Information:Madison, WI: Crop Science Society of America
# of Pages:18
Related Web URL:https://dl.sciencesocieties.org/publications/cs/abstracts/49/2/363
    Last checked: 11/16/2016
    Notes: Abstract only
Keywords:TIC Keywords: Quantitative trait loci; Population genetics; Population dynamics; Breeding; Comparisons
Abstract/Contents:"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."
Language:English
References:155
Note:Tables
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Sneller, C. H., D. E. Mather, and S. Crepieux. 2009. Analytical approaches and population types for finding and utilizing QTL in complex plant populations. Crop Sci. 49(2):p. 363-380.
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DOI: 10.2135/cropsci2008.07/0420
Web URL(s):
https://dl.sciencesocieties.org/publications/cs/pdfs/49/2/363
    Last checked: 11/16/2016
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
https://dl.sciencesocieties.org/publications/cs/articles/49/2/363
    Last checked: 11/16/2016
    Access conditions: Item is within a limited-access website
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