Literature DB >> 24247946

A mixed model for the effects of single gene, polygenes and their interaction on quantitative traits : 1. The model and experimental design.

Y Elkind1, A Cahaner.   

Abstract

A model for the effects of single gene (SG), polygenes (PG) and their interaction on quantitative traits was developed. It is a mixed model where the SG is a fixed effect and the PG is a random effect. A two-way factorial experiment, in which the SG and the PG are the main effects, is proposed. The experimental material is comprised of F3 families derived from F2 plants heterozygous for the SG. For this experiment an ANOVA table with expected mean square is proposed, which facilitates estimation of the components of the model and testing of their significance. A detailed method for the interpretation of results from such an experiment is proposed, with emphasis on the analysis of the SG × PG interaction. Theoretical and applied aspects of SG × PG interaction is discussed.

Year:  1986        PMID: 24247946     DOI: 10.1007/BF00288576

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  6 in total

1.  Estimating single gene effects on quantitative traits : 2. Statistical properties of five experimental methods.

Authors:  D G Gilbert
Journal:  Theor Appl Genet       Date:  1985-03       Impact factor: 5.699

2.  Estimating heritability and genetic correlation between traits from generations F2 and F 3 of self-fertilizing species: a comparison of three methods.

Authors:  A Cahaner; J Hillel
Journal:  Theor Appl Genet       Date:  1980-01       Impact factor: 5.699

3.  Analysis of family resemblance. 3. Complex segregation of quantitative traits.

Authors:  N E Morton; C J MacLean
Journal:  Am J Hum Genet       Date:  1974-07       Impact factor: 11.025

4.  A general method of detecting additive, dominance and epistatic variation for metrical traits.

Authors:  M J Kearsey; J L Jinks
Journal:  Heredity (Edinb)       Date:  1968-08       Impact factor: 3.821

5.  A mixed-model likelihood approximation on large pedigrees.

Authors:  S J Hasstedt
Journal:  Comput Biomed Res       Date:  1982-06

6.  Estimating single gene effects on quantitative traits 1. A diallel method applied to Est 6 in D. melanogaster.

Authors:  D G Gilbert
Journal:  Theor Appl Genet       Date:  1985-03       Impact factor: 5.699

  6 in total

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