Literature DB >> 18089517

Breeding racehorses: what price good genes?

Alastair J Wilson1, Andrew Rambaut.   

Abstract

Horse racing is a multi-million pound industry, in which genetic information is increasingly used to optimize breeding programmes. To maximize the probability of producing a successful offspring, the owner of a mare should mate her with a high-quality stallion. However, stallions with big reputations command higher stud fees and paying these is only a sensible strategy if, (i) there is a genetic variation for success on the racecourse and (ii) stud fees are an honest signal of a stallion's genetic quality. Using data on thoroughbred racehorses, and lifetime earnings from prize money (LE) as a measure of success, we performed quantitative genetic analyses within an animal model framework to test these two conditions. Although LE is heritable (VA=0.299+/-0.108, Pr=0.002), there is no genetic variance for stud fee and the genetic correlation between traits is therefore zero. This result is supported by an absence of any relationship between stud fees for currently active stallions and the predicted LE for their (hypothetical) offspring. Thus, while there are good genes to be bought, a stallion's fees are not an honest signal of his genetic quality and are a poor predictor of a foal's prize winning potential.

Entities:  

Mesh:

Year:  2008        PMID: 18089517      PMCID: PMC2429926          DOI: 10.1098/rsbl.2007.0588

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  9 in total

1.  The sexual selection continuum.

Authors:  Hanna Kokko; Robert Brooks; John M McNamara; Alasdair I Houston
Journal:  Proc Biol Sci       Date:  2002-07-07       Impact factor: 5.349

Review 2.  Estimating genetic parameters in natural populations using the "animal model".

Authors:  Loeske E B Kruuk
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-06-29       Impact factor: 6.237

3.  Estimating evolutionary parameters when viability selection is operating.

Authors:  Jarrod D Hadfield
Journal:  Proc Biol Sci       Date:  2008-03-22       Impact factor: 5.349

4.  Maternal genetic effects set the potential for evolution in a free-living vertebrate population.

Authors:  A J Wilson; D W Coltman; J M Pemberton; A D J Overall; K A Byrne; L E B Kruuk
Journal:  J Evol Biol       Date:  2005-03       Impact factor: 2.411

5.  Odds on the FAST gene.

Authors:  E Bailey
Journal:  Genome Res       Date:  1998-06       Impact factor: 9.043

6.  Why aren't horses faster?

Authors:  W G Hill
Journal:  Nature       Date:  1988-04-21       Impact factor: 49.962

7.  Estimation of genetic trend in racing performance of thoroughbred horses.

Authors:  B Gaffney; E P Cunningham
Journal:  Nature       Date:  1988-04-21       Impact factor: 49.962

8.  Mitochondrial DNA: an important female contribution to thoroughbred racehorse performance.

Authors:  Stephen Paul Harrison; Juan Luis Turrion-Gomez
Journal:  Mitochondrion       Date:  2006-03-03       Impact factor: 4.160

9.  Environmental coupling of selection and heritability limits evolution.

Authors:  A J Wilson; J M Pemberton; J G Pilkington; D W Coltman; D V Mifsud; T H Clutton-Brock; L E B Kruuk
Journal:  PLoS Biol       Date:  2006-07       Impact factor: 8.029

  9 in total
  1 in total

1.  Date of birth and purchase price as foals or yearlings are associated with Thoroughbred flat race performance in the United Kingdom and Ireland.

Authors:  Juan Carlos Arango-Sabogal; Rebecca Mouncey; Amanda M de Mestre; Kristien Verheyen
Journal:  Vet Rec Open       Date:  2022-09-23
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.