Literature DB >> 1430492

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

M E Goddard1.   

Abstract

The replacement of other black and white cattle strains by the North American Holstein breed, which itself is dominated by a small number of elite sires, has reduced the genetic diversity of the global population. Intense selection on a global basis leads to rapid genetic improvement but reduces effective population size. The optimal global effective population size was chosen to maximize the net present value of all future benefits from the breeding program. Two separate discount rates were used to reflect concerns about the long-term costs of small effective population size. This led to a higher optimal number of bull-sires than in past analyses. The optimum was sensitive to the magnitude of inbreeding depression and to the discount rates, but not to the variance caused by new mutations and the size of the world population. The genetic correlation between the breeding objectives of different AI studs controls the extent to which they all select the same sires of sons and, hence, affects the global effective population size. The prediction is made that different countries will select partially different sires, but genetically isolated strains will not reemerge. A better global breeding program is likely when selection of sires takes account of inbreeding depression and small genotype by environment interactions.

Entities:  

Mesh:

Year:  1992        PMID: 1430492     DOI: 10.3168/jds.S0022-0302(92)78052-7

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

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

Authors:  S Brotherstone; M Goddard
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

2.  Inflammatory-Related Genetic Variants in Non-Muscle-Invasive Bladder Cancer Prognosis: A Multimarker Bayesian Assessment.

Authors:  Alexandra Masson-Lecomte; Evangelina López de Maturana; Michael E Goddard; Antoni Picornell; Marta Rava; Anna González-Neira; Mirari Márquez; Alfredo Carrato; Adonina Tardon; Josep Lloreta; Montserrat Garcia-Closas; Debra Silverman; Nathaniel Rothman; Manolis Kogevinas; Yves Allory; Stephen J Chanock; Francisco X Real; Núria Malats
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-05-06       Impact factor: 4.254

3.  Effective sizes of livestock populations to prevent a decline in fitness.

Authors:  T H Meuwissen; J A Woolliams
Journal:  Theor Appl Genet       Date:  1994-12       Impact factor: 5.699

4.  Increased genetic gains in sheep, beef and dairy breeding programs from using female reproductive technologies combined with optimal contribution selection and genomic breeding values.

Authors:  Tom Granleese; Samuel A Clark; Andrew A Swan; Julius H J van der Werf
Journal:  Genet Sel Evol       Date:  2015-09-14       Impact factor: 4.297

5.  Inferring demography from runs of homozygosity in whole-genome sequence, with correction for sequence errors.

Authors:  Iona M MacLeod; Denis M Larkin; Harris A Lewin; Ben J Hayes; Mike E Goddard
Journal:  Mol Biol Evol       Date:  2013-07-10       Impact factor: 16.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.