Literature DB >> 24538919

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

J M RENDEL, A ROBERTSON.   

Abstract

Entities:  

Keywords:  GENETICS; MILK

Mesh：

Year:  1950        PMID： 24538919     DOI： 10.1007/bf02986789

Source DB:  PubMed          Journal:  J Genet        ISSN： 0022-1333            Impact factor:   1.166


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  26 in total

Review 1.  Applications of population genetics to animal breeding, from wright, fisher and lush to genomic prediction.

Authors:  William G Hill
Journal:  Genetics       Date:  2014-01       Impact factor: 4.562

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

Authors:  M R Dentine; B T McDaniel
Journal:  Theor Appl Genet       Date:  1987-10       Impact factor: 5.699

3.  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

4.  Genetic steady-state under BLUP selection for an infinite and homogeneous population with discrete generations.

Authors:  F Phocas; J J Colleau
Journal:  Theor Appl Genet       Date:  1996-07       Impact factor: 5.699

5.  Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection.

Authors:  Adriana García-Ruiz; John B Cole; Paul M VanRaden; George R Wiggans; Felipe J Ruiz-López; Curtis P Van Tassell
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-27       Impact factor: 11.205

6.  The Impact of Genomic and Traditional Selection on the Contribution of Mutational Variance to Long-Term Selection Response and Genetic Variance.

Authors:  Herman A Mulder; Sang Hong Lee; Sam Clark; Ben J Hayes; Julius H J van der Werf
Journal:  Genetics       Date:  2019-08-20       Impact factor: 4.562

7.  Linear classification scores in beef cattle as predictors of genetic merit for individual carcass primal cut yields1.

Authors:  Donagh P Berry; Thierry Pabiou; Rory Fanning; Ross D Evans; Michelle M Judge
Journal:  J Anim Sci       Date:  2019-05-30       Impact factor: 3.159

8.  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

9.  The achievement of a given carcass specification is under moderate genetic control in cattle.

Authors:  David Kenny; Michelle M Judge; Roy D Sleator; Craig P Murphy; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-06-01       Impact factor: 3.159

10.  Dressing percentage and the differential between live weight and carcass weight in cattle are influenced by both genetic and non-genetic factors1.

Authors:  Jessica M Coyne; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159
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