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Definition of the Subject

Animal breeding can be defined as a human activity with the deliberate purpose to change existing populations of animals in some desired directions, so that future generations of these animals become more valuable in some sense. A prerequisite for successful animal breeding is that there is a genetic variation in the population in the traits one want to improve in future generations. Other requirements are: clear definitions of the breeding goals, good pedigree files, valid measures of the desired traits, methods of genetic evaluations that can combine information from the pedigree and the measured trait, and finally effective selection of breeding animals with high estimated genetic values (BV = breeding values ) and therefore presumably with relatively large proportion of valuable genes affecting the desired traits.

The selected parents will transmit their genes to the next generation, and depending on the amount of genetic variation in the traits, accuracy...

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Abbreviations

Animal model (AM):

Statistical models that are used for evaluation of breeding values of all individuals in the population of interest.

Best linear unbiased prediction (BLUP):

Standard statistical method for estimating breeding values in populations. BLUP adjusts for systematic fixed environmental effects and accounts for genetic relationships among animals.

Breeding value (BV):

Mean additive genetic value of an individual relative to all members of the (base) population.

Effective population size (N e):

Number of individuals that would give rise to calculated sampling variance, or rate of inbreeding, if they bred in the manner of the idealized population with complete random mating, no selection, no migration, and no mutations.

Estimated breeding value (EBV):

Estimate of the mean additive genetic value of an individual for a quantitative trait.

Generation interval (L):

Average age of the parents when their progenies that will replace them in breeding are born.

Heritability (h 2):

Measures the extent to which the phenotypes are determined by genetic factors. It is expressed as the ratio between additive genetic variance and the total phenotypic variance.

Inbreeding coefficient (F):

Measure of the probability that two genes at any locus in an individual are identical by descent. It refers to an individual and expresses the degree of genetic relationship between the individual’s parents.

Riding horse:

The narrow definition of riding horse or sport horse refers to horses of “Warmblood” breeds or Thoroughbred crosses, which compete in the classical equestrian sporting events of dressage, show jumping, and eventing. However, the broad definition of a riding horse refers to a horse used for any type of riding and will be used here.

Selection:

Any natural or artificial process favoring the survival and propagation of certain individuals in a population.

Selection intensity (i):

Function of the proportion of animals selected for breeding relative to the total number of animals available for selection. The smaller the proportion selected, the higher the selection intensity.

Timeform handicap ratings:

An estimate of racing capacity of Thoroughbred horses (in Great Britain). Express racing merit as weights in pounds that the compiler believes the horse should carry in an average free handicap race.

Trotter:

A horse trained for harness racing. The horse races in trot, which is a two-beat springing gait with a suspension phase (no ground contact) between two diagonal supporting pair of legs.

Bibliography

Primary Literature

  1. Anthony D, Telegin DY, Brown D (1991) Origin of horseback riding. Scientific Am 225:44–48

    Google Scholar 

  2. Bökönyi S (1984) Horse. In: Mason IL (ed) Evolution of domesticated animals. Longman, London, pp 162–173

    Google Scholar 

  3. Bowling AT, Ruvinsky A (2000) Genetic aspects of domestication, breeds and their origins. In: Bowling AT, Ruvinsky A (eds) The genetics of the horse. CABI Publishing, Wallingford, pp 25–51

    Chapter  Google Scholar 

  4. FAOSTAT Database (2008) faostat.fao.org

    Google Scholar 

  5. EU Equus (2009) www.equus2009.eu

  6. Mason IL (1996) A world dictionary of livestock breeds, types and varieties, 4th edn. CAB International, Wallingford

    Google Scholar 

  7. Hazel LN (1943) The genetic basis for constructing selection indexes. Genetics 28:476–490

    CAS  Google Scholar 

  8. Amer PR, Fox GC, Smith C (1994) Economic weights from profit equations: appraising their accuracy in the long run. Anim Prod 58:11–18

    Article  Google Scholar 

  9. Árnason T, Van Vleck LD (2000) Genetic improvement of the horse. In: Bowling AT, Ruvinsky A (eds) The genetics of the horse. CABI Publishing, Wallingford, pp 473–497

    Chapter  Google Scholar 

  10. Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics, 4th edn. Longmans Green, Harlow

    Google Scholar 

  11. Ricard A (1998) Developments in the genetic evaluation of performance traits in horses. In: Proceedings of the 6th world congress on genetics applied to livestock production, Armidale, NSW. University of New England, Armidale, vol 24, pp 388–395

    Google Scholar 

  12. Tolley ES, Notter DR, Marlowe TJ (1985) A review of the inheritance of racing performance in horses. Anim Breed Abstr 53:163–185

    Google Scholar 

  13. Ricard A, Bruns E, Cunningham EP (2000) Genetics of performance traits. In: Bowling AT, Ruvinsky A (eds) The genetics of the horse. CABI Publishing, Wallingford, pp 411–438

    Chapter  Google Scholar 

  14. Correa MJM, Mota MDS (2007) Genetic evaluation of performance traits in Brazilian Quarter Horse. J Appl Genet 48:145–151

    Article  Google Scholar 

  15. Stock KF, Distl O, Hoeschele I (2007) Bayesian estimation of genetic parameters for multivariate threshold and continuous phenotypes and molecular genetic data in simulated horse populations using Gibbs sampling. BMC Genet 8:19

    Article  CAS  Google Scholar 

  16. Albertsdóttir E, Eriksson S, Nasholm A, Strandberg E, Árnason T (2007) Genetic analysis of competition data on Icelandic horses. Livest Sci 110:242–250

    Article  Google Scholar 

  17. Albertsdóttir E, Eriksson S, Nasholm A, Strandberg E, Árnason Th (2008) Genetic correlations between competition traits and traits scored at breeding field-tests in Icelandic horses. Livest Sci 114:181–187

    Google Scholar 

  18. Burns EM, Enns RM, Garrick DJ (2004) The status of equine genetic evaluation. In: Proceedings, Western Section, American Society of Animal Science, pp 82–86

    Google Scholar 

  19. Kennedy BW, Schaeffer LR, Sorensen DA (1988) Genetic properties of animal models. J Dairy Sci 71(suppl 2):17–26

    Article  Google Scholar 

  20. Bugislaus AE, Roehe R, Willms F, Kalm E (2006) The use of a random regression model to account for change in racing speed of German trotters with increasing age. J Anim Breed Genet 123:239–246

    Article  Google Scholar 

  21. Menendez-Buxadera AM, Mota MDS (2008) Variance component estimations for race performance of thoroughbred horses in Brazil by random regression model. Livest Sci 117:298–307

    Article  Google Scholar 

  22. Meuwissen THE, Luo Z (1992) Computing inbreeding coefficients in large populations. Genet Sel Evol 24:305–313

    Article  Google Scholar 

  23. Sigurdsson Á, Árnason T (1995) Predicting genetic trend by uni- and multitrait models. Acta Agric Scand Sect A 45:1–10

    Article  Google Scholar 

  24. Quaas RL (1976) Computing the diagonal elements and inverse of a large numerator relationship matrix. Biometrics 32:949–953

    Article  Google Scholar 

  25. Henderson CR (1976) A simple method for computing the inverse of a numerator relationship matrix used in prediction of breeding values. Biometrics 32:69–83

    Article  Google Scholar 

  26. Westell RA, Quaas RL, Van Vleck LD (1988) Genetic groups in an animal model. J Anim Sci 66:2817–2825

    Google Scholar 

  27. Tavernier A (1990) Estimation of breeding value of jumping horses from their ranks. Livest Prod Sci 26:277–290

    Article  Google Scholar 

  28. Tavernier A (1991) Genetic evaluation of horses based on ranks in competition. Genet Sel Evol 23:159–173

    Article  Google Scholar 

  29. Gianola D, Simianer H (2006) A thurstonian model for quantitative genetic analysis of ranks: a Bayesian approach. Genetics 174:1613–1624

    Article  Google Scholar 

  30. Ricard A, Legarra A (2010) Validation of models for analysis of ranks in horse breeding evaluation. Genet Sel Evol 42:3

    Article  Google Scholar 

  31. Klemetsdal G (1992) Estimation of genetic trend in racehorse breeding. Acta Agric Scand 42:226–231

    Article  Google Scholar 

  32. Albertsdóttir E, Eriksson S, Sigurdsson Á, Árnason T (2009) An all-or-none trait to account for pre-selection in Icelandic horse breeding. In: Book of Abstracts of the 45th annual meeting of the European association of animal production, 24–27 August 2009, Barcelona. Universityof Wisconsin, Madison, p 217

    Google Scholar 

  33. Árnason T (1999) Genetic evaluation of Swedish standard-bred trotters for racing performance traits and racing status. J Anim Breed Genet 116:387–398

    Article  Google Scholar 

  34. Bugislaus AE, Roehe R, Willms F, Kalm E (2005) Multivariate genetic analysis to account for preselection and disqualified races in the genetic evaluation of racing performances in German trotters. Acta Agric Scand Sect A 55:49–56

    Article  Google Scholar 

  35. Koenen EPC, Aldrige LI, Philipsson J (2004) An overview of breeding objectives for warmblood sport horses. Livest Prod Sci 88:77–84

    Article  Google Scholar 

  36. Thorén-Hellsten E, Viklund A, Koenen EPC, Ricard A, Bruns E, Philipsson J (2006) Review of genetic parameters estimated at stallion and young horse performance tests and their correlations with later results in dressage and show-jumping competition. Livest Sci 103:1–12

    Article  Google Scholar 

  37. Ruhlman C, Bruns E, Fraehr E, Koenen EPC, Philipsson J, Janssens S, Quinn K, Thorén-Hellsten E, Ricard A (2009) Genetic connectedness between seven European countries for performance in horse jumping competitions of warmblood riding horses. Livest Sci 120:75–86

    Article  Google Scholar 

  38. Thorén-Hellsten E, Jorjani H, Philipsson J (2008) Connectedness among five European sport horse populations. Livest Sci 118:147–156

    Article  Google Scholar 

  39. Thorén-Hellsten E, Jorjani H, Philipsson J (2009) Genetic correlations between similar traits in the Danish and Swedish Warmblood sport horse populations. Livest Sci 124:15–20

    Article  Google Scholar 

  40. Ruhlman C, Janssens S, Philipsson J, Thorén-Hellsten E, Crolly H, Quinn K, Manfredi E, Ricard A (2009) Genetic correlations between horse show jumping competition traits in five European countries. Livest Sci 122:234–240

    Article  Google Scholar 

  41. Árnason T, Sigurdsson Á, Lorange JB (2006) Global genetic evaluations of the Icelandic horse and genetic connectedness between countries. In: Proceedings of the 8th world congress on genetic applied to livestock production, Belo Horizonte, 13–18 August 2006, CD-ROM communication 24-16

    Google Scholar 

  42. Rendel JM, Robertson A (1950) Estimation of genetic gain in milk by selection in a closed herd of dairy cattle. J Genet 50:1–8

    Article  Google Scholar 

  43. Strom H, Philipsson J (1978) Relative importance of performance tests and progeny tests in horse breeding. Livest Prod Sci 5:303–332

    Article  Google Scholar 

  44. Hugason K, Árnason T, Norell L (1987) Efficiency of three-stage selection of stallions. J Anim Breed Genet 104:350–363

    Article  Google Scholar 

  45. Cochran WG (1951) Improvement by means of selection. In: Proceedings of Second Berkely Symposium on Mathematical, Statistics and Probability. University of California Press, Berkeley, pp 440–470

    Google Scholar 

  46. Bulmer MG (1971) The effect of selection on genetic variability. Am Nat 105:201–211

    Article  Google Scholar 

  47. Wray NR, Goddard ME (1994) Increased long-term response to selection. Genet Sel Evol 26:431–451

    Article  Google Scholar 

  48. Meuwissen THE (1997) Maximizing the response of selection with a predefined rate of inbreeding. J Anim Sci 75:934–940

    CAS  Google Scholar 

  49. Grundy B, Villanueva B, Wooliams JA (2000) Dynamic selection for maximizing response with constrained inbreeding in schemes with overlapping generations. Anim Sci 70:373–382

    Google Scholar 

  50. Wright S (1931) Evolution in Mendelian populations. Genetics 16:97–159

    CAS  Google Scholar 

  51. Woolliams JA, Gwaze GP, Meuwissen THE, Planchenault D, Renard JP, Thibier M, Wagner H (1998) Secondary guidelines for the development of national farm animal genetic resources management plans. Management of small populations at risk. Food and Agricultural Organization of the United Nations (FAO), Rome

    Google Scholar 

  52. MacCluer JW, Boyce AJ, Dyke B, Weitkamp LR, Pfennig DW, Parsons CJ (1983) Inbreeding and pedigree structure in Standardbred horses. J Hered 74:394–399

    Google Scholar 

  53. Cothran EG, MacCluer JW, Weitkamp LR, Pfennig DW, Boyce AJ (1984) Inbreeding and reproductive performance in Standardbred horses. J Hered 75:220–224

    CAS  Google Scholar 

  54. Árnason T (2001) Inbreeding – threat to trotting horses. In: Papers, 2001 World Trotting Conference, 6th to 15th July 2001, Suomen Hippos, Helsinki & Mikkeli

    Google Scholar 

  55. Klemetsdal G (1993) Demographic parameters and inbreeding in the Norwegian trotter. Acta Agric Scand Sect A 43:1–8

    Article  Google Scholar 

  56. Anderson E, Nasholm A, Gerber E, Árnason Th (1998) Inbreeding and its impact on racing performance in Swedish and Norwegian coldblooded trotters. In: Book of Abstracts of the 49th annual meeting of the European association of animal production, 24–27 August 1998, Warsaw. Wageningen Publishers, Wageningen, pp 314

    Google Scholar 

  57. Klemetsdal G, Johnson M (1989) Effect of inbreeding on fertility in Norwegian trotter. Livest Prod Sci 21:263–272

    Article  Google Scholar 

  58. Cunningham EP (1976) Genetic studies in horse populations. In: Proceedings of the international symposium on genetics and horse breeding. Royal Dublin Society, Dublin, pp 2–8

    Google Scholar 

  59. Robertson A (1976) What has genetic to contribute to horse breeding. In: Proceedings of the international symposium on genetics and horse breeding. Royal Dublin Society, Dublin, pp 64–70

    Google Scholar 

  60. Langlois B (1980) Heritability of racing ability in thoroughbreds – a review. Livest Prod Sci 7:591–605

    Article  Google Scholar 

  61. Gaffney B, Cunningham EP (1988) Estimation of genetic trend in racing performance of thoroughbred horses. Nature 332:722–724

    Article  CAS  Google Scholar 

  62. Hill WG (1988) Why aren’t horses faster. Nature 332:678

    Article  CAS  Google Scholar 

  63. James JW (1990) Selection limits in thoroughbred horses. In: Proceedings of the 4th world congress on genetics applied to livestock production, Edinburgh, 23–27 July 1990, vol 16, pp 221–224

    Google Scholar 

  64. Langlois B (1994) An introduction to genetic analysis in the Thoroughbred. In: Book of abstracts of the 45th annual meeting of the European association of animal production, Rome 5–8 September 1994, Edinburgh, Rome, p 358

    Google Scholar 

  65. Langlois B (1996) A consideration of the genetic aspects of some current practices in thoroughbred horse breeding. Ann Zootechnie 45:41–51

    Article  Google Scholar 

  66. Árnason T (1994) Simple (plausible) non-linear model for inheritance of racing speed and corresponding genetic changes from selection. In: Book of abstracts of the 45th annual meeting of the European association of animal production, Rome 5–8 September 1994, Edinburgh, Rome, p 360

    Google Scholar 

  67. Árnason T (2001) Trends and asymptotic limits for racing speed in standard bred trotters. Livest Prod Sci 72:135–145

    Article  Google Scholar 

  68. Cunningham EP (1998) The genetics of track performance in thoroughbreds. In: Book of abstracts of the 49th annual meeting of the European association of animal production, 24–27 August 1998, Warsaw, Wageningen Pers, Wageningen, p 309

    Google Scholar 

  69. Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F, Lear TL, Adelson DL, Baily E, Bellone RR, Blocker H, Distl O, Edgar RC, Garber M, Leeb T, Mauceli E, MacLeod JN, Penedo MCT, Raison JM, Sharpe T, Vogel J, Andersson L, Antczak DF, Biagi T, Binns MM, Chowdhary BP, Coleman SJ, Della Valle G, Fryc S, Guérin G, Hasegawa T, Hill EW, Jurka J, Kiialainen A, Lindgren G, Liu J, Magnani E, Mickelson JR, Murray J, Nergadze SG, Onofrio R, Pedroni S, Piras MF, Raudsepp T, Rocchi M, Roed KH, Ryder OA, Searle S, Skow L, Swinburne JE, Syvanen AC, Tozaki T, Valberg SJ, Vaudin M, White JR, Zody MC, Broad Institute Genome Sequencing Platform, Broad Institute Whole Genome Assembly Team, Lander ES, Kindblad-Toh K (2009) Genome sequence, comparative analysis and population genetics of the domestic horse. Science 326:865–867

    Article  CAS  Google Scholar 

  70. Gu J, Orr N, Park SD, Katz LM, Sulimova G, MacHugh DE, Hill EW (2009) A genome scan for positive selection in Thoroughbred horses. PLoS ONE 4(6):e5767. doi:10.1371/journal.phone.0005767

    Article  CAS  Google Scholar 

  71. Meuwissen THE, Hayes BJ, Goddard ME (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics 157:1819–1829

    CAS  Google Scholar 

  72. Hayes BJ, Bowman PJ, Chamberlain AJ, Goddard ME (2009) Invited review: genomic selection in dairy cattle: progress and challenges. J Dairy Sci 92:433–443

    Article  CAS  Google Scholar 

  73. VanRaden PM, Sullivan PG (2010) International genomic evaluation methods for dairy cattle. Genet Sel Evol 42:7

    Article  Google Scholar 

  74. Legarra A, Aguilar I, Misztal I (2009) A relationship matrix including full pedigree and genomic information. J Dairy Sci 92:4656–4663

    Article  CAS  Google Scholar 

Books and Reviews

  • Bowling AT (1996) Horse genetics. CAB International, Wallingford

    Google Scholar 

  • Bowling AT, Ruvinsky A (eds) (2000) The genetic of the horse. CABI Publishing, Wallingford

    Google Scholar 

  • Mrode RA (2005) Linear models for the prediction of animal breeding values, 2nd edn. CABI Publishing, Wallingford

    Book  Google Scholar 

  • Van Vleck LD, Pollak EJ, Oltenacu EAB (1989) Genetics for the animal sciences. Freeman, New York

    Google Scholar 

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Árnason, T. (2012). Breeding in Horses . In: Meyers, R.A. (eds) Encyclopedia of Sustainability Science and Technology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0851-3_340

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