Literature DB >> 1009230

The estimation of maternal genetic variances.

R Thompson.   

Abstract

The estimation of maternal genetic variances by a multivariate maximum likelihood method is discussed. As an illustration the method is applied to data on Tribolium using a model based on partitioning the maternal genetic effect into additive and dominance components. An alternative model due to Falconer (1965) is also fitted. The method is applied to designs suggested for estimating maternal variances by Eisen [1967]. Modifications required when parents are selected on their phenotypic values are given.

Mesh:

Year:  1976        PMID: 1009230

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  7 in total

1.  Toward reconciling inferences concerning genetic variation in senescence in Drosophila melanogaster.

Authors:  F H Shaw; D E Promislow; M Tatar; K A Hughes; C J Geyer
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

2.  Better estimates of genetic covariance matrices by "bending" using penalized maximum likelihood.

Authors:  Karin Meyer; Mark Kirkpatrick
Journal:  Genetics       Date:  2010-05-03       Impact factor: 4.562

Review 3.  Up hill, down dale: quantitative genetics of curvaceous traits.

Authors:  Karin Meyer; Mark Kirkpatrick
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

4.  Genetic correlations and maternal effect coefficients obtained from offspring-parent regression.

Authors:  R Lande; T Price
Journal:  Genetics       Date:  1989-08       Impact factor: 4.562

5.  Estimation of maternal, sex-linked and additive x additive epistatic gene effects for body size of Tribolium.

Authors:  E A Carbonell; J J Frey; A E Bell
Journal:  Theor Appl Genet       Date:  1985-05       Impact factor: 5.699

6.  Prioritizing animals for dense genotyping in order to impute missing genotypes of sparsely genotyped animals.

Authors:  Xijiang Yu; John A Woolliams; Theo H E Meuwissen
Journal:  Genet Sel Evol       Date:  2014-08-26       Impact factor: 4.297

7.  Is my study system good enough? A case study for identifying maternal effects.

Authors:  Anna Marie Holand; Ingelin Steinsland
Journal:  Ecol Evol       Date:  2016-04-20       Impact factor: 2.912

  7 in total

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