Literature DB >> 1063735

The efficiency and optimal size of triple test cross designs for detecting epistatic variation.

H Pooni, J L Jinks.   

Abstract

The triple test cross and two of its associate designs have been compared for their theoretical and practical efficiency in detecting epistatic variation. The comparisons are made on the basis of optimal experimental sizes required for each of these tests to detect a modest level of epistasis significantly (P less than or equal to 0-05) and with a reasonable certainty (95 per cent). The experimental sizes are determined for various combinations of heritability, dominance ratio and gene association and for both duplicate and complementary epistasis. Two versions of the test epistasis designed by Kearsey and Jinks (1968). Test 1a and Test 1b, do not differ much in their theoretical efficiency for detecting epistasis and the optimal experimental sizes required by them to detect non-allelic interactions significantly are largely impraticable except when dominance and heritability are high and the degree of association is 50 per cent or more. Both the tests require much smaller experiments to detect duplicate epistasis than complementary epistasis of the same magnitude and this difference is more pronounced for lower levels of heritability and dominance. The theoretical efficiency of Test 2 (given by Jinks, Perkins and Breese, 1969), however, does not vary with the type of epistasis but the sensitivity of the test is inversely related to the degree of gene association between the tester parents. The practical implications of the present investigation are discussed and the validity of some of the most important theoretical predictions and assumptions are tested on a triple test cross involving 80 inbred lines of Nicotiana rustica.

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Year:  1976        PMID: 1063735     DOI: 10.1038/hdy.1976.26

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  4 in total

1.  Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure.

Authors:  D B Allison; M C Neale; R Zannolli; N J Schork; C I Amos; J Blangero
Journal:  Am J Hum Genet       Date:  1999-08       Impact factor: 11.025

2.  Testing the robustness of the new Haseman-Elston quantitative-trait loci-mapping procedure.

Authors:  D B Allison; J R Fernández; M Heo; T M Beasley
Journal:  Am J Hum Genet       Date:  2000-05-11       Impact factor: 11.025

3.  Cross prediction studies on spring barley : 2. Estimation of genetical and environmental control of yield and its component characters.

Authors:  C R Tapsell; W T Thomas
Journal:  Theor Appl Genet       Date:  1983-03       Impact factor: 5.699

4.  A simplified triple-test cross analysis of alcohol preference in the rat.

Authors:  K J Drewek; P L Broadhurst
Journal:  Behav Genet       Date:  1981-09       Impact factor: 2.805

  4 in total

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