Phenotypic and genetic variability of estimated growth curve parameters in mice

Stephen D Kachman, R. L. Baker, D. Gianola

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Data from 1,919 outbred ICR mice were used to examine the potential usefulness of growth curve parameters as selection criteria for altering the relationship between body weight and age. A logistic growth function was used to model growth through 12 weeks of age. Estimates of asymptotic weight (A), maximum growth rate (r) and age at point of inflection (t * ) were obtained by nonlinear least-squares. A log transformation was also used to stabilize residual variance. Phenotypic and genetic parameters were estimated for the estimated growth curve parameters and for body weights at 2, 3, 4.5, 6, 8 and 12 weeks of age. Heritabilities of estimated growth curve parameters (obtained with and without a log transformation, respectively) were: A (0.28±0.07, 0.28±0.07), r (0.35±0.07, 0.53±0.09) and t * (0.41±0.08, 0.44±0.08). Estimated genetic correlations suggest that t * may be useful in selecting for rapid early growth without increasing mature weight.

Original languageEnglish (US)
Pages (from-to)148-156
Number of pages9
JournalTheoretical and Applied Genetics
Volume76
Issue number1
DOIs
StatePublished - Jul 1 1988

Fingerprint

genetic variation
mice
Growth
body weight
selection criteria
growth models
genetic correlation
least squares
Body Weight
heritability
Weights and Measures
Inbred ICR Mouse
Least-Squares Analysis
Patient Selection

Keywords

  • Genetic parameters
  • Growth curve
  • Heritability
  • Mice

ASJC Scopus subject areas

  • Biotechnology
  • Agronomy and Crop Science
  • Genetics

Cite this

Phenotypic and genetic variability of estimated growth curve parameters in mice. / Kachman, Stephen D; Baker, R. L.; Gianola, D.

In: Theoretical and Applied Genetics, Vol. 76, No. 1, 01.07.1988, p. 148-156.

Research output: Contribution to journalArticle

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