Analyze Diet
Journal of animal science2023; 102; doi: 10.1093/jas/skad409

Designing an early selection morphological traits index for reproductive efficiency in Pura Raza Española mares.

Abstract: The low rate of reproductive efficiency in horses may be linked to the equine industry's practice of maintaining breeding stock that stands out for its athletic or morphological performance but exhibits poor reproductive efficiency. In this study, the age at first foaling, age at last foaling, interval between first and second foaling, average interval between foaling, foaling number and reproductive efficiency, and their relationship with the morphological records in 19,758 Pura Raza Española (PRE) mares were analyzed. After a partial least squares analysis height at withers, lateral hock angle, dorsal-sternal diameter, perimeter of anterior cannon bone, angle of shoulder, thoracic perimeter, hip-stifle distance, and angle of croup were the most important traits related with reproductive traits in PRE mares. A multivariate animal model with both morphological and reproductive traits was applied, including age, geographical area, coat color, and average stud size in the decade of the mare's first foaling. The results indicate that reproductive selection is feasible, and is enhanced by the use of morphological traits, given the moderate to high magnitudes of heritability values in both types of traits, which oscillated between 0.1 (interval between first and second foaling) and 0.95 (height at withers). The resulting genetic parameters were used to develop a series of selection indexes based on morphological or morphological and reproductive combination traits to improve reproductive efficiency traits in PRE mares and thus compute the expected genetic response (EGR) for the different strategies. The increase in EGR, when comparing EGR using only reproductive traits as selection criteria vs. using a combined index of both morphological and reproductive traits, oscillated between 4.0% for the age at first foaling to 46.8% for the interval between first and second foaling. In addition, two precocity indexes showed positive EGR when the age at last foaling and the interval between first and second foaling, both with and without morphological traits, were used as selection criteria. Therefore, this analysis reveals that the preselection of reproductive traits based on morphological traits is possible in PRE mares. Ultimately, this knowledge will help breeders achieve genetic progress in reproductive traits, leading to healthier and more successful breeding outcomes in horses. Historically in livestock production, employing combinations of traits as selection criteria for indirect selection of related traits has been a challenging task, particularly when this implies selection for reproductive traits based on the animal morphology. However, if the decision about animal selection is based on morphological traits that are quick and easy to obtain, in addition to early reproductive traits, selection responses can be improved and made earlier. This is particularly significant in sport horse breeds like the Pura Raza Española horse, which is primarily used for dressage competitions. Mares belonging to this breed commonly engage in several years of competition before transitioning to breeding, without the breeders having prior knowledge of their reproductive efficiency. Nonetheless, the availability of existing morphological information enables us to make informed decisions in this regard. While a selection index using morphology alone would not yield as good a response as direct selection for reproductive traits, there are cases, such as age at last foaling, where the correlated response can be very high. Our study further illustrates a substantial increase in selection response when morphological and reproductive traits are jointly included as selection criteria, with the aim of enhancing reproductive efficiency.
Publication Date: 2023-12-20 PubMed ID: 38118055PubMed Central: PMC10762892DOI: 10.1093/jas/skad409Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research article investigates the effect of specific morphological traits on the reproductive efficiency of Pura Raza Española (PRE) mares. It suggests that by selecting mares based on these traits, the reproductive efficiency of the breed could be improved.

Background of the Study

  • The research revolves around the premise that low reproductive efficiency in horses may be tied to the industry’s tendency to focus on athletic or morphological performance, often overlooking reproduction performance. This practice could affect the overall health and success of the breed in the long run.
  • The study focuses on PRE mares, a breed of horse from Spain that’s widely appreciated for their strength, elegance, and athleticism.

Methods

  • The study involved an in-depth analysis of the morphological records of 19,758 PRE mares. It included details such as the age at first and last foaling, the interval between first and second foaling, the average interval between foaling, and the number of foalings.
  • A partial least squares analysis was conducted to identify the most important traits related to reproductive performance. Traits considered included the height at withers, the lateral hock angle, the dorsal-sternal diameter, the perimeter of the anterior cannon bone, the angle of the shoulder, the thoracic perimeter, the hip-stifle distance, and the angle of the croup.
  • The multivariate animal model utilized considered both morphological and reproductive traits, in addition to details such as age, geographical location, coat color, and average stud size during the mares’ first decade of foaling.

Result and Discussion

  • Following the analyses, it was inferred that selecting mares based on morphological traits could significantly improve reproductive efficiency, given the moderately high heritability of these traits.
  • Heritability of these traits ranged from low (0.1 for the interval between first and second foaling) to high (0.95 for height at withers).
  • This data was then used to design a series of selection indexes. Upon comparing the expected genetic response (EGR) from using only reproductive traits versus a combination of both reproductive and morphological traits, it was found that the latter approach had an increased EGR ranging from 4.0% for the age at first foaling to 46.8% for the interval between first and second foaling.
  • Additionally, two precocity indexes based on age at last foaling and the interval between first and second foaling using morphological traits as selection criteria yielded positive EGR.

Conclusion

  • These results suggest that there is potential in using morphological traits to pre-select mares for improved reproductive efficiency in PRE mares.
  • The application of these findings could help breeders make informed decisions about their breeding stock, aiming for better reproductive success in the long run, and ultimately enhancing the breed’s genetic progression.

Cite This Article

APA
Perdomo-González DI, Sánchez-Guerrero MJ, Bartolomé E, Guedes Dos Santos R, Molina A, Valera M. (2023). Designing an early selection morphological traits index for reproductive efficiency in Pura Raza Española mares. J Anim Sci, 102. https://doi.org/10.1093/jas/skad409

Publication

ISSN: 1525-3163
NlmUniqueID: 8003002
Country: United States
Language: English
Volume: 102

Researcher Affiliations

Perdomo-González, Davinia I
  • Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agromómica, Universidad de Sevilla, Sevilla 41013, Spain.
Sánchez-Guerrero, María J
  • Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agromómica, Universidad de Sevilla, Sevilla 41013, Spain.
Bartolomé, Ester
  • Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agromómica, Universidad de Sevilla, Sevilla 41013, Spain.
Guedes Dos Santos, Rute
  • Polytechnic Institute of Portalegre, Portalegre 7300-110, Portugal.
  • Research Centre for Endogenous Resource Valorization (VALORIZA), Portalegre 7300-555, Portugal.
Molina, Antonio
  • Departamento de Genética, Universidad de Córdoba, Córdoba 14014, Spain.
Valera, Mercedes
  • Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agromómica, Universidad de Sevilla, Sevilla 41013, Spain.

MeSH Terms

  • Horses / genetics
  • Animals
  • Female
  • Reproduction
  • Phenotype

Conflict of Interest Statement

The authors declare no real or perceived conflicts of interest.

References

This article includes 54 references
  1. Amer P R, Simm G, Keane M G, Diskin M G, Wickham B W. Breeding objectives for beef cattle in Ireland. Livest. Prod. Sci. 67:223–239.
  2. Azcona F, Valera M, Molina A, Trigo P, Peral-García P, Solé M, Demyda-Peyrás S. Impact of reproductive biotechnologies on genetic variability of Argentine Polo horses. Livest. Sci. 231:103848.
  3. Berry D P, Buckley F, Dillon P, Evans R D, Veerkamp R F. Genetic relationships among linear type traits, milk yield, body weight, fertility and somatic cell count in primiparous dairy cows. Irish J. Agric. Food Res. 43:161–176.
  4. Bohlouli M, Brandt H, König S. Genetic parameters for linear conformation, stayability, performance and reproduction traits in German local Swabian-Hall landrace sows. J. Anim. Breed. Genet. 140:144–157.
    doi: 10.1111/jbg.12743pubmed: 36308333google scholar: lookup
  5. Bramante G, Cito A M, Ciani E, Pieragostini E. Multi-trait animal model estimation of genetic parameters for morphometric measurements in the Murgese horse breed. Livest. Sci. 191:139–142.
  6. Brotherstone S, Veerkamp R F, Hill W G. Predicting breeding values for herd life of Holstein-Friesian dairy cattle from lifespan and type. Anim. Sci. 67:405–411.
    doi: 10.1017/s135772980003280xgoogle scholar: lookup
  7. Byrne T J, Amer P R, Fennessy P F, Cromie A R, Keady T W J, Hanrahan J P, McHugh M P, Wickham B W. Breeding objectives for sheep in Ireland: a bio-economic approach. Livest. Sci. 132:135–144.
  8. Cruickshank J, Weigel K A, Dentine M R, Kirkpatrick B W. Indirect prediction of herd life in Guernsey dairy cattle. J. Dairy Sci. 85:1307–1313.
  9. Giontella A, Sarti F M, Cardinali I, Giovannini S, Cherchi R, Lancioni H, Silvestrelli M, Pieramati C. Genetic variability and population structure in the sardinian Anglo-Arab horse. Animals 10:1018–1011.
    doi: 10.3390/ani10061018pmc: PMC7341272pubmed: 32545354google scholar: lookup
  10. Gómez M D, Valera M, Molina A, Gutiérrez J P, Goyache F. Assessment of inbreeding depression for body measurements in Spanish Purebred (Andalusian) horses. Livest. Sci. 122:149–155.
  11. Gómez M D, Sánchez M J, Bartolomé E, Cervantes I, Poyato-Bonilla J, Demyda-Peyrás S, Valera M. Phenotypic and genetic analysis of reproductive traits in horse populations with different breeding purposes. Animal 14:1351–1361.
    doi: 10.1017/s1751731120000087pubmed: 32026801google scholar: lookup
  12. Gómez M D, Molina A, Sánchez-Guerrero M J, Valera M. Prediction of adult conformation traits from shape characteristics of Pura Raza Español foals. Livest. Sci. 253:104701.
  13. Gutiérrez J P, Cervantes I, Pérez-Cabal M A, Burgos A, Morante R. Weighting fibre and morphological traits in a genetic index for an alpaca breeding programme. Animal 8:360–369.
    doi: 10.1017/S1751731113002358pubmed: 24423382google scholar: lookup
  14. Hazel L, Lush J. The efficiency of three methods of selection. J. Hered. 33:393–399.
  15. Karlau A, Molina A, Antonini A, Demyda-Peyrás S. The influence of foreign lineages in the genetic component of reproductive traits in Criollo Argentino mares: A 30-year study. Livest. Sci. 267:105153.
  16. Kern E L, Cobuci J A, Costa C N, McManus C M, Neto J B. Genetic association between longevity and linear type traits of holstein cows. Sci. Agric. 72:203–209.
  17. Khandaker R, Khan M K I, Momin M M. Correlations among certain growth and production traits in different breeds of goats. Iran. J. Appl. Anim. Sci. 7:465–470.
  18. Koenen E P C, Aldridge L I, Philipsson J. An overview of breeding objectives for warmblood sport horses. Livest. Prod. Sci. 88:77–84.
  19. Langlois B, Blouin C. Statistical analysis of some factors affecting the number of horse births in France. Reprod. Nutr. Dev. 44:583–595.
    doi: 10.1051/rnd:2004055pubmed: 15762302google scholar: lookup
  20. Laseca N, Molina A, Ramón M, Valera M, Azcona F, Encina A, Demyda-peyrás S. Fine-scale analysis of runs of homozygosity islands affecting fertility in mares. Front. Vet. Sci. 9:1–9.
    doi: 10.3389/fvets.2022.754028pmc: PMC8891756pubmed: 35252415google scholar: lookup
  21. Le T H, Madsen P, Lundeheim N, Nilsson K, Norberg E. Genetic association between leg conformation in young pigs and sow longevity. J. Anim. Breed. Genet. 133:283–290.
    doi: 10.1111/jbg.12193pubmed: 26578175google scholar: lookup
  22. Li X, Ye J, Han X, Qiao R, Xiuling L, Lv G, Wang K. Whole-genome sequencing identifies potential candidate genes for reproductive traits in pigs. Genomics. 112:199–206.
    doi: 10.1016/j.ygeno.2019.01.014pubmed: 30707936google scholar: lookup
  23. Lourenco, D., Tsuruta S., Masuda Y., Bermann M., Legarra A., and Misztal I... 2022. Recent updates in the BLUPF90 software suite. In: Proceedings of the 12th world congress on genetics applied to livestock production; Rotterdam.
  24. Manafiazar G, Goonewardene L, Miglior F, Crews D H, Basarab J A, Okine E, Wang Z. Genetic and phenotypic correlations among feed efficiency, production and selected conformation traits in dairy cows. Animal 10:381–389.
    doi: 10.1017/S1751731115002281pubmed: 26549643google scholar: lookup
  25. nMAPA. 2023. Raza equina caballar Pura Raza Española. https://www.mapa.gob.es/es/ganaderia/temas/zootecnia/razas-ganaderas/razas/catalogo-razas/equino-caballar/espanola/default.aspx.
  26. Miglior F, Muir B L, Van Doormaal B J. Selection indices in Holstein cattle of various countries. J. Dairy Sci. 88:1255–1263.
  27. Misztal I, Tsuruta S, Lourenco D, Aguilar I, Legarra A, Vitezica Z. Manual for BLUPF90 family of programs. Athens, USA: University of Georgia; 142.
  28. Negro S, Solé M, Pelayo R, Gómez M D, Azor P J, Valera M. Molecular diversity between two cohorts of six Spanish riding-horse breeds: impact of selection in Crossbred vs Purebred populations. Livest. Sci. 193:88–91.
  29. Peña F, Gómez M D, Bartolomé E, Valera M. Capítulo 7. Valoración Morfológica en Équidos. In: Servicio de publicaciones del Ministerio de Medio Ambiente Rural y Marino, ed., Valoración Morfológica de los Animales Domésticos. Madrid (Spain); p. 199–230.
  30. Perdomo-González D I, Molina A, Sánchez-Guerrero M J, Bartolomé E, Varona L, Valera M. Genetic inbreeding depression load for fertility traits in Pura Raza Española mares. J. Anim. Sci. 99:1–10.
    doi: 10.1093/jas/skab316pmc: PMC8645228pubmed: 34718615google scholar: lookup
  31. Perdomo-González D I, Laseca N, Peyrás S D, Valera M, Cervantes I, Molina A. Fine ‑ tuning genomic and pedigree inbreeding rates in equine population with a deep and reliable stud book: the case of the Pura Raza Española horse. J. Anim. Sci. Biotechnol. 5:1–14.
    doi: 10.1186/s40104-022-00781-5pmc: PMC9639299pubmed: 36336696google scholar: lookup
  32. Perdomo-González D I, Azor-Ortiz P J, Encina Martínez A, Rodríguez Sainz de los Torreros A, Molina A, Demyda-Peyrás S, Valera-Córdoba M. Catálogo de reproductores de Pura Raza Española. Sevilla, España: Asociación Nacional de Criadores de Caballos de Pura Raza Epañola (ANNCE).
  33. Pérez-Cabal M A, García C, González-Recio O, Alenda R. Genetic and phenotypic relationships among locomotion type traits, profit, production, longevity, and fertility in Spanish dairy cows. J. Dairy Sci. 89:1776–1783.
  34. Plummer M, Best N, Cowles K, Vines K. CODA: Convergence Diagnosis and Output Analysis for MCMC. R News. 6:7–11.
  35. Pourlis A F. A review of morphological characteristics relating to the production and reproduction of fat-tailed sheep breeds. Trop. Anim. Health Prod. 43:1267–1287.
    doi: 10.1007/s11250-011-9853-xpubmed: 21556961google scholar: lookup
  36. Poyato-Bonilla J, Perdomo-González D I, Sánchez-Guerrero M J, Varona L, Molina A, Casellas J, Valera M. Genetic inbreeding depression load for morphological traits and defects in the Pura Raza Española horse. Genet. Sel. Evol. 52:62.
    doi: 10.1186/s12711-020-00582-2pmc: PMC7576714pubmed: 33081691google scholar: lookup
  37. Poyato-Bonilla J, Laseca N, Demyda-Peyrás S, Molina A, Valera M. 500 years of breeding in the Carthusian Strain of Pura Raza Español horse: An evolutional analysis using genealogical and genomic data. J. Anim. Breed. Genet. 139:84–99.
    doi: 10.1111/jbg.12641pubmed: 34363624google scholar: lookup
  38. Sabeva I, Apostolov A. Longevity and life reproductive efficiency in Arabian broodmares. Arch. Zootech. 14:66–74.
  39. Sairanen J, Nivola K, Katila T, Virtala A -M, Ojala M. Effects of inbreeding and other genetic components on equine fertility. Animal 3:1662–1672.
    doi: 10.1017/S1751731109990553pubmed: 22443550google scholar: lookup
  40. Sánchez M J, Gómez M D, Molina A, Valera M. Genetic analyses for linear conformation traits in Pura Raza Español horses. Livest. Sci. 157:57–64.
  41. Sánchez-Guerrero M J, Cervantes I, Valera M, Gutiérrez J P. Modelling genetic evaluation for dressage in pura raza español horses with focus on the rider effect. J. Anim. Breed. Genet. 131:395–402.
    doi: 10.1111/jbg.12088pubmed: 24673743google scholar: lookup
  42. Sánchez-Guerrero M J, Molina A, Gómez M D, Peña F, Valera M. Relationship between morphology and performance: signature of mass-selection in Pura Raza Español horse. Livest. Sci. 185:148–155.
  43. Sánchez-Guerrero M J, Cervantes I, Molina A, Gutiérrez J P, Valera M. Designing an early selection morphological linear traits index for dressage in the Pura Raza Español horse. Animal 11:948–957.
    doi: 10.1017/S1751731116002214pubmed: 27839527google scholar: lookup
  44. Solé M, Valera M, Sánchez M J, Azor P J, Fernández J. Drawbacks and consequences of selective strategies in the design of semen banks: case study of the Pura Raza Español horse breed. Livest. Sci. 226:93–98.
  45. Stott A W, Veerkamp R, Wassell T R. The economics of fertility in the dairy herd. Anim. Sci. 68:49–57.
    doi: 10.1017/S1357729800050074google scholar: lookup
  46. Strapák P, Juhás P, Strapáková E. The relationship between the length of productive life and the body conformation traits in cows. J. Cent. Eur. Agric. 12:239–254.
    doi: 10.5513/jcea01/12.2.905google scholar: lookup
  47. Taveira R Z, Dias M. Genetic and quantitative evaluation of breeding traits in thoroughbred mares. REDVET. Rev. Electrónica Vet. VIII:1–11.
  48. Thorén-Hellsten E, Viklund A, Koenen E P C, Ricard A, Bruns E, Philipsson J. 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.
  49. Valera M, Gómez M D, Cervantes I, Peña F. Capítulo 21. Morfología y funcionalidad en los équidos. In: Servicio de publicaciones del Ministerio de Medio Ambiente Rural y Marino, ed.,Valoración Morfológica de los Animales Domésticos. Madrid (Spain); p. 697–728.
  50. Valera M, Sánchez-Guerrero M J, Gómez Ortiz M D, Azor P J, Bartolomé Medina E, Cervantes Navarro I, Medina Raso C, Molina Alcalá A. Catálogo de jóvenes reproductores recomendados. Doma clásica. Sevilla, España: Grupo de Investigación MERAGEM (PAI-AGR-158).
  51. Williams M, Sleator R D, Murphy C P, McCarthy J, Berry D P. Re-assessing the importance of linear type traits in predicting genetic merit for survival in an aging Holstein-Friesian dairy cow population. J. Dairy Sci. 105:7550–7563.
    doi: 10.3168/jds.2022-22026pubmed: 35879159google scholar: lookup
  52. Wolc A, Torzynski G, Szwaczkowski T. Genetic effects on reproductive traits in Warmblood horses. Can. J. Anim. Sci. 89:215–218.
    doi: 10.4141/cjas08067google scholar: lookup
  53. Wold S. PLS for multivariate linear modeling QSAR: chemometric methods in molecular design. In: van de Waterbeemd, H., editor. Methods and principles in medicinal chemistry. New York (USA): VCH Publishers; 195–218.
  54. Ziadi C, Muñoz-Mejías E, Sánchez M, López M D, González-Casquet O, Molina A. Selection criteria for improving fertility in spanish goat breeds: Estimation of genetic parameters and designing selection indices for optimal genetic responses. Animals 11:409–410.
    doi: 10.3390/ani11020409pmc: PMC7915267pubmed: 33562683google scholar: lookup