Power of the joint segregation analysis method for testing mixed major-gene and polygene inheritance models of quantitative traits
Material type:
ArticlePublication details: 2001ISSN: - 1432-2242 (Revista en electrónico)
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
| Article | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Staff Publications Collection | CIS-3233 (Browse shelf(Opens below)) | 1 | Available | 629677 |
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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