Literature DB >> 24240336

Expected early genetic gain from selection for milk yield in dairy cattle.

M R Dentine1, B T McDaniel.   

Abstract

A matrix program to predict short term genetic gain from single trait selection for milk yield was developed. Rate of genetic gain was calculated as the annual change in the mean breeding value of all producing females. Several parameters sets representing various selection policies were used to examine situations pertinent to dairy populations of the United States. Approach to the asymptotic rates of genetic gain within the model varied with the choice of parameters, but even with consistent selection policies, predicted total genetic gain in the first 10 years was only half of the expected from classical theory. Considerable year to year variation in the rate of gain occurred. Early gains were more dependent on female selection decisions than gains during the steady state. In a two-phase model, the approach to the linear rate of gain in the second phase was accelerated by starting with an ongoing improvement program, but considerable delays still existed. Selection for sex- limited traits such as milk yield, which require pedigree selection and a waiting time for progeny test results reached asymptotic rates more slowly than previously assumed.

Entities:  

Year:  1987        PMID: 24240336     DOI: 10.1007/BF00247553

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


  5 in total

1.  The use of the relationship matrix to account for genetic drift variance in the analysis of genetic experiments.

Authors:  D A Sorensen; B W Kennedy
Journal:  Theor Appl Genet       Date:  1983-09       Impact factor: 5.699

2.  Estimation of genetic gain in milk yield by selection in a closed herd of dairy cattle.

Authors:  J M RENDEL; A ROBERTSON
Journal:  J Genet       Date:  1950-06       Impact factor: 1.166

3.  The use of progeny testing with artificial insemination in dairy cattle.

Authors:  A ROBERTSON; J M RENDEL
Journal:  J Genet       Date:  1950-06       Impact factor: 1.166

4.  Effective size of populations with overlapping generations.

Authors:  W G Hill
Journal:  Theor Popul Biol       Date:  1972-09       Impact factor: 1.570

5.  Estimation of genetic trends in dairy cattle populations.

Authors:  E B Burnside; J E Legates
Journal:  J Dairy Sci       Date:  1967-09       Impact factor: 4.034

  5 in total
  2 in total

1.  Prediction of response with overlapping generations accounting for multistage selection.

Authors:  B L Harris; A E Freeman
Journal:  Theor Appl Genet       Date:  1991-09       Impact factor: 5.699

2.  The contribution of a MOET nucleus scheme for the improvement of Guzerá (Bos indicus) cattle for milk traits in Brazil.

Authors:  Maria Gabriela Campolina Diniz Peixoto; Eula Regina Carrara; Paulo Sávio Lopes; Frank Ângelo Tomita Bruneli; Vânia Maldini Penna
Journal:  Front Genet       Date:  2022-09-29       Impact factor: 4.772

  2 in total

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