Literature DB >> 16048790

Artificial selection and maintenance of genetic variance in the global dairy cow population.

S Brotherstone1, M Goddard.   

Abstract

Genetic improvement of dairy cows, which has increased the milk yield of cows in the UK by 1200 kg per lactation in 12 years, is an excellent example of the application of quantitative genetics to agriculture. The most important traits of dairy cattle are expressed only in females, but the main opportunity for selection is in males. Despite this, genetic improvement was achieved by the invention of a new statistical methodology, called 'best linear unbiased prediction' to estimate the breeding value of bulls. Intense selection of the best bulls, combined with the worldwide use of these bulls through artificial insemination and frozen semen, has created a global population and caused concern that the genetic variation available in the future will be reduced. Maintenance of genetic variation and long-term genetic gains would be aided by rational payment systems, use of crossbreeding where profitable, inclusion of all economically important traits in the breeding objective, recognition of genotype by environment interactions and the use of selection algorithms that balance estimated breeding value against the average relationship among the selected animals. Fortunately, all of these things are happening to some degree.

Entities:  

Mesh:

Year:  2005        PMID: 16048790      PMCID: PMC1569519          DOI: 10.1098/rstb.2005.1668

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  22 in total

1.  Application of a multiple-trait herd cluster model for genetic evaluation of dairy sires from seventeen countries.

Authors:  N R Zwald; K A Welgel; W F Fikse; R Rekaya
Journal:  J Dairy Sci       Date:  2003-01       Impact factor: 4.034

2.  Genotype x environment interaction for milk production of daughters of Australian dairy sires from test-day records.

Authors:  B J Hayes; M Carrick; P Bowman; M E Goddard
Journal:  J Dairy Sci       Date:  2003-11       Impact factor: 4.034

Review 3.  Optimal effective population size for the global population of black and white dairy cattle.

Authors:  M E Goddard
Journal:  J Dairy Sci       Date:  1992-10       Impact factor: 4.034

4.  Redistribution of gene frequency and changes of genetic variation following a bottleneck in population size.

Authors:  Xu-Sheng Zhang; Jinliang Wang; William G Hill
Journal:  Genetics       Date:  2004-07       Impact factor: 4.562

5.  Impact of nonadditive genetic effects in the estimation of breeding values for fertility and correlated traits.

Authors:  E Wall; S Brotherstone; J F Kearney; J A Woolliams; M P Coffey
Journal:  J Dairy Sci       Date:  2005-01       Impact factor: 4.034

6.  The Genetic Basis for Constructing Selection Indexes.

Authors:  L N Hazel
Journal:  Genetics       Date:  1943-11       Impact factor: 4.562

7.  Genetic evidence for Near-Eastern origins of European cattle.

Authors:  C S Troy; D E MacHugh; J F Bailey; D A Magee; R T Loftus; P Cunningham; A T Chamberlain; B C Sykes; D G Bradley
Journal:  Nature       Date:  2001-04-26       Impact factor: 49.962

8.  Multiple-country comparison of dairy sires.

Authors:  L R Schaeffer
Journal:  J Dairy Sci       Date:  1994-09       Impact factor: 4.034

9.  Predictions of response to artificial selection from new mutations.

Authors:  W G Hill
Journal:  Genet Res       Date:  1982-12       Impact factor: 1.588

10.  Evidence for two independent domestications of cattle.

Authors:  R T Loftus; D E MacHugh; D G Bradley; P M Sharp; P Cunningham
Journal:  Proc Natl Acad Sci U S A       Date:  1994-03-29       Impact factor: 11.205

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  24 in total

Review 1.  Complex Trait Prediction from Genome Data: Contrasting EBV in Livestock to PRS in Humans: Genomic Prediction.

Authors:  Naomi R Wray; Kathryn E Kemper; Benjamin J Hayes; Michael E Goddard; Peter M Visscher
Journal:  Genetics       Date:  2019-04       Impact factor: 4.562

Review 2.  Fundamental concepts in genetics: effective population size and patterns of molecular evolution and variation.

Authors:  Brian Charlesworth
Journal:  Nat Rev Genet       Date:  2009-03       Impact factor: 53.242

3.  Patterns of quantitative genetic variation in multiple dimensions.

Authors:  Mark Kirkpatrick
Journal:  Genetica       Date:  2008-08-10       Impact factor: 1.082

4.  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

Review 5.  Deciphering the genetic basis of animal domestication.

Authors:  Pamela Wiener; Samantha Wilkinson
Journal:  Proc Biol Sci       Date:  2011-09-01       Impact factor: 5.349

6.  Functional annotation and Bayesian fine-mapping reveals candidate genes for important agronomic traits in Holstein bulls.

Authors:  Jicai Jiang; John B Cole; Ellen Freebern; Yang Da; Paul M VanRaden; Li Ma
Journal:  Commun Biol       Date:  2019-06-18

7.  Molecular anatomy of the cytoplasmic domain of bovine growth hormone receptor, a quantitative trait locus.

Authors:  S-L Varvio; T Iso-Touru; J Kantanen; S Viitala; I Tapio; A Mäki-Tanila; M Zerabruk; J Vilkki
Journal:  Proc Biol Sci       Date:  2008-07-07       Impact factor: 5.349

8.  Long-term response to genomic selection: effects of estimation method and reference population structure for different genetic architectures.

Authors:  John W M Bastiaansen; Albart Coster; Mario P L Calus; Johan A M van Arendonk; Henk Bovenhuis
Journal:  Genet Sel Evol       Date:  2012-01-24       Impact factor: 4.297

9.  Genome-wide estimates of coancestry, inbreeding and effective population size in the Spanish Holstein population.

Authors:  Silvia Teresa Rodríguez-Ramilo; Jesús Fernández; Miguel Angel Toro; Delfino Hernández; Beatriz Villanueva
Journal:  PLoS One       Date:  2015-04-16       Impact factor: 3.240

10.  The genome response to artificial selection: a case study in dairy cattle.

Authors:  Laurence Flori; Sébastien Fritz; Florence Jaffrézic; Mekki Boussaha; Ivo Gut; Simon Heath; Jean-Louis Foulley; Mathieu Gautier
Journal:  PLoS One       Date:  2009-08-12       Impact factor: 3.240

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