Literature DB >> 24276570

Gene number estimation when multiplicative genetic effects are assumed - growth in flour beetles and mice.

R E Comstock1, F D Enfield.   

Abstract

Estimation of the number of segregating genes affecting a quantitative trait in populations initiated from a cross of two homozygous lines is considered. Experimental data, for the trait in question, is assumed available on total response to recurrent selection initiated in the F2 or F3 generation, the initial additive genetic variance and the heterosis exhibited in the F1 generation. Appropriate procedures when multiplicative genetic effects are assumed are developed and reasons for assuming multiplicative rather than additive effects are indicated. These procedures were employed to estimate the number of genes affecting pupa weight in a population of flour beetles and growth in a population of mice. Estimates were 50-60 percent smaller than those obtained using familiar estimation procedures appropriate when no epistasis is assumed. However, the estimated numbers (about 200 and 100 for pupa weight and mouse growth, respectively) were still rather large.

Entities:  

Year:  1981        PMID: 24276570     DOI: 10.1007/BF00276452

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


  10 in total

1.  MASS SELECTION FOR POST-WEANING GROWTH IN MICE.

Authors:  G W RAHNEFELD; W J BOYLAN; R E COMSTOCK; M SINGH
Journal:  Genetics       Date:  1963-11       Impact factor: 4.562

2.  Estimates of Genetic Variances and Level of Dominance in Maize.

Authors:  R H Moll; M F Lindsey; H F Robinson
Journal:  Genetics       Date:  1964-03       Impact factor: 4.562

3.  Selection for Pupa Weight in TRIBOLIUM CASTANEUM. I. Parameters in Base Populations.

Authors:  F D Enfield; R E Comstock; O Braskerud
Journal:  Genetics       Date:  1966-08       Impact factor: 4.562

4.  Distinguishing between Two Types of Gene Action in Quantitative Inheritance.

Authors:  D R Charles; H H Smith
Journal:  Genetics       Date:  1939-01       Impact factor: 4.562

5.  AN IMPROVED METHOD OF ESTIMATING THE NUMBER OF GENETIC FACTORS CONCERNED IN CASES OF BLENDING INHERITANCE.

Authors:  W E Castle
Journal:  Science       Date:  1921-09-09       Impact factor: 47.728

6.  The components of genetic variance in populations of biparental progenies and their use in estimating the average degree of dominance.

Authors:  R E COMSTOCK; H F ROBINSON
Journal:  Biometrics       Date:  1948-12       Impact factor: 2.571

7.  Linkage disequilibrium in finite populations.

Authors:  W G Hill; A Robertson
Journal:  Theor Appl Genet       Date:  1968-06       Impact factor: 5.699

8.  Theory for the number of genes affecting quantitative characters : I. Estimation of and variance of the estimation of gene number for quantitative traits controlled by additive genes having equal effect.

Authors:  Y C Park
Journal:  Theor Appl Genet       Date:  1977-07       Impact factor: 5.699

9.  The effect of linkage on limits to artificial selection.

Authors:  W G Hill; A Robertson
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

10.  The limits to artificial selection for body weight in the mouse. I. The limits attained in earlier experiments.

Authors:  R C Roberts
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

  10 in total
  4 in total

1.  A selection response plateau for radiation resistance in the cotton boll weevil.

Authors:  F D Enfield; D T North; R Erickson; L Rotering
Journal:  Theor Appl Genet       Date:  1983-06       Impact factor: 5.699

2.  Mutational variance for pupa weight in Tribolium castaneum.

Authors:  F D Enfield; O Braskerud
Journal:  Theor Appl Genet       Date:  1989-03       Impact factor: 5.699

3.  Quantitative genetic dissection of complex traits in a QTL-mapping pedigree.

Authors:  R L Wu
Journal:  Theor Appl Genet       Date:  1996-08       Impact factor: 5.699

4.  A computer simulation evaluation of the role of mutations in finite populations on the response to directional selection: The generations required to attain maximum genetic variance.

Authors:  M D Li; F D Enfield
Journal:  Theor Appl Genet       Date:  1992-09       Impact factor: 5.699

  4 in total

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