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Power of the joint segregation analysis method for testing mixed major-gene and polygene inheritance models of quantitative traits

By: Jiankang Wang.
Contributor(s): Cooper, M [coaut.] | DeLacy, I.H | Podlich, D.W [coaut.].
Material type: materialTypeLabelArticlePublisher: 2001ISSN: 1432-2242 (Revista en electrónico).Subject(s): Analysis | Genes | Genetic inheritance | Models | Research methods | Segregation | Plant breeding AGROVOC In: Theoretical and Applied Genetics v. 103, no. 5, p. 804-816629677Summary: Understanding the genetic architecture of quantitative traits can greatly assist the design of strategies for their manipulation in plant-breeding programs. For a number of traits, genetic variation can be the result of segregation of a few major genes and many polygenes (minor genes). The joint segregation analysis (JSA) is a maximum-likelihood approach for fitting segregation models through the simultaneous use of phenotypic information from multiple generations. Our objective in this paper was to use computer simulation to quantify the power of the JSA method for testing the mixed-inheritance model for quantitative traits when it was applied to the six basic generations: both parents (P1 and P2), F1, F2, and both backcross generations (B1 and B2) derived from crossing the F1 to each parent. A total of 1968 genetic model-experiment scenarios were considered in the simulation study to quantify the power of the method.Collection: CIMMYT Staff Publications Collection
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
Article CIMMYT Knowledge Center: John Woolston Library

Lic. Jose Juan Caballero Flores

 

CIMMYT Staff Publications Collection CIS-3233 (Browse shelf) 1 Available 629677
Total holds: 0

Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752

Understanding the genetic architecture of quantitative traits can greatly assist the design of strategies for their manipulation in plant-breeding programs. For a number of traits, genetic variation can be the result of segregation of a few major genes and many polygenes (minor genes). The joint segregation analysis (JSA) is a maximum-likelihood approach for fitting segregation models through the simultaneous use of phenotypic information from multiple generations. Our objective in this paper was to use computer simulation to quantify the power of the JSA method for testing the mixed-inheritance model for quantitative traits when it was applied to the six basic generations: both parents (P1 and P2), F1, F2, and both backcross generations (B1 and B2) derived from crossing the F1 to each parent. A total of 1968 genetic model-experiment scenarios were considered in the simulation study to quantify the power of the method.

Genetic Resources Program

English

0111|Springer|AL-Wheat Program|R01JOURN|3

Jose Juan Caballero

INT2542

CIMMYT Staff Publications Collection

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