Literature DB >> 24435623

Comparison of growth curves of mice selected and unselected for postweaning gain.

V M Timon1, E J Eisen.   

Abstract

Mice were sampled from a line selected for increased postweaning weight gain from three to six weeks and from a randombred control line originating from the same base population. Body weights were recorded at each of 14 ages from day 5 to day 98. The Richards and logistic growth functions were fitted to the growth trajectories of each individual mouse by a generalized non-linear least squares procedure. Estimated growth parameters (asymptotic weight, rate, shape of curve, age and weight at inflection, mean absolute growth rate and mean relative growth rate) were computed for each individual. The effects of line, litter within line, sex and line × sex interactions on these estimated parameters were then studied.Both the Richards and logistic functions fitted the data equally well and the plotted trajectories coincided over most of the growth curve. There was excellent agreement between the estimates of asymptotic weight and both age and weight at inflection based on the different functions. However, both functions apparently underestimated the asymptotic weight.Analyses of the line differences showed that selection for postweaning gain increased the mean absolute growth rate over the entire curve but had no effect on the relative growth rate or the shape of the growth curve. Full-sib analyses suggested the presence of considerable genetic variation and some high genetic correlations among the estimated growth parameters.

Entities:  

Year:  1969        PMID: 24435623     DOI: 10.1007/BF00290871

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


  5 in total

1.  Comparison of growth functions within and between lines of mice selected for large and small body weight.

Authors:  E J Eisen; B J Lang; J E Legates
Journal:  Theor Appl Genet       Date:  1969-01       Impact factor: 5.699

2.  Growth of the laboratory mouse.

Authors:  G A Gall; W H Kyle
Journal:  Theor Appl Genet       Date:  1968-07       Impact factor: 5.699

3.  Comparisons of ad libitum and restricted feeding of mice selected and unselected for postweaning gain. I. Growth, feed consumption and feed efficiency.

Authors:  V M Timon; E J Eisen
Journal:  Genetics       Date:  1970-01       Impact factor: 4.562

4.  Mating designs for estimating direct and maternal genetic variances and direct-maternal genetic covariances.

Authors:  E J Eisen
Journal:  Can J Genet Cytol       Date:  1967-03

5.  Dynamics of normal growth.

Authors:  A K Laird; S A Tyler; A D Barton
Journal:  Growth       Date:  1965-09
  5 in total
  7 in total

1.  The effects of selection for different combinations of weights at two ages on the growth curve of mice.

Authors:  J C McCarthy; H Bakker
Journal:  Theor Appl Genet       Date:  1979-03       Impact factor: 5.699

2.  Phenotypic and genetic variability of estimated growth curve parameters in mice.

Authors:  S D Kachman; R L Baker; D Gianola
Journal:  Theor Appl Genet       Date:  1988-07       Impact factor: 5.699

3.  Genetic architecture of growth curve parameters in chickens.

Authors:  G F Barbato
Journal:  Theor Appl Genet       Date:  1991-11       Impact factor: 5.699

4.  Certain growth characters of Tribolium castaneum as modified by long term selection for 21-day pupa weight.

Authors:  R D Walker; R Goodwill
Journal:  Theor Appl Genet       Date:  1974-01       Impact factor: 5.699

5.  Correlated responses in growth and body composition of replicated single-trait and index selected lines of mice.

Authors:  E J Eisen; T Bandy
Journal:  Theor Appl Genet       Date:  1977-05       Impact factor: 5.699

6.  Comparison of growth functions within and between lines of mice selected for large and small body weight.

Authors:  E J Eisen; B J Lang; J E Legates
Journal:  Theor Appl Genet       Date:  1969-01       Impact factor: 5.699

7.  Evaluation of growth patterns and body composition in C57Bl/6J mice using dual energy X-ray absorptiometry.

Authors:  Sara Gargiulo; Matteo Gramanzini; Rosario Megna; Adelaide Greco; Sandra Albanese; Claudio Manfredi; Arturo Brunetti
Journal:  Biomed Res Int       Date:  2014-07-10       Impact factor: 3.411

  7 in total

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