Literature DB >> 24241575

Probabilities of negative estimates of genetic variances.

W C Bridges1, S J Knapp.   

Abstract

The probability of negative analysis of variance estimates of genetic variance components due to sampling error (Ps) was investigated. The objectives were to evaluate the magnitude of Ps, to compare Ps for estimates of σ A (2) and σ D (2) , and to compare Ps for genetic variance component estimates from the nested and factorial mating designs. Ps was defined in terms of ratios of mean squares and the F distribution was used to calculate probabilities of the negative estimates. The results indicated that Ps is often greater than 0.20 for σ D (2) . It is generally lower for σ A (2) than for σ D (2) , and lower for the factorial mating design than the nested mating design.

Year:  1987        PMID: 24241575     DOI: 10.1007/BF00289979

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


  4 in total

1.  Genetic Variances in Open Pollinated Varieties of Corn.

Authors:  H F Robinson; R E Comstock; P H Harvey
Journal:  Genetics       Date:  1955-01       Impact factor: 4.562

2.  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

3.  An approximate distribution of estimates of variance components.

Authors:  F E SATTERTHWAITE
Journal:  Biometrics       Date:  1946-12       Impact factor: 2.571

4.  Probability of obtaining negative estimates of heritability.

Authors:  J L Gill; E L Jensen
Journal:  Biometrics       Date:  1968-09       Impact factor: 2.571

  4 in total
  2 in total

1.  Genetic variation and selection response in model breeding populations of Brassica rapa following a diversity bottleneck.

Authors:  William H Briggs; Irwin L Goldman
Journal:  Genetics       Date:  2005-09-12       Impact factor: 4.562

2.  Sampling distributions, biases, variances, and confidence intervals for genetic correlations.

Authors:  B H Liu; S J Knapp; D Birkes
Journal:  Theor Appl Genet       Date:  1997-01       Impact factor: 5.699

  2 in total

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