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Home / Equine Research Bank / Animals (Basel) / Genetic Structure Analysis of the Pura Raza Español Horse P...
Animals : an open access journal from MDPI2020; 10(8); doi: 10.3390/ani10081360

Genetic Structure Analysis of the Pura Raza Español Horse Population through Partial Inbreeding Coefficient Estimation.

Abstract: The aim of this work was to analyze genetic parameters such as the inbreeding coefficient (F), relatedness coefficient (AR) and partial inbreeding coefficient (Fij) of the whole PRE population, and the ancestors which account for 50% of the total genetic variability of the current population, from genealogical information. The average F of the whole PRE population (328,706 animals) has decreased from 8.45% to 7.51% in the least 20 years. The Fij was estimated for the whole PRE population, resulting in a database of 58,772,533 records containing one record for each Fij that each animal receives from a certain common ancestor (CA). A total of 10,244 CAs contributed to the Fij with an average of 5370 descendants, with each descendant having an average of 170 CAs. Over the generations, the number of CAs has increased, while the proportion of Fij by each one has decreased. In addition, the contributions of the more influential ancestors have changed. The increased census, the limited use of artificial insemination and our increased knowledge about inbreeding depression and the animals' breeding values allow breeders to select horses more for their functionality and conformation than for their pedigree reputation, which is the cause of all these changes.
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Publication Date: 2020-08-06 PubMed ID: 32781594PubMed Central: PMC7459874DOI: 10.3390/ani10081360Google Scholar: Lookup
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Summary

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This research article examines the genetic structure of the Pura Raza Español horse population by estimating the inbreeding coefficient, relatedness coefficient, and partial inbreeding coefficient, tracking changes in these values over the past 20 years.

Research Objective

  • The study aims to measure the genetic parameters of the Pura Raza Español (PRE) horse population, which include inbreeding coefficients (F), relatedness coefficients (AR), and partial inbreeding coefficients (F). It also aims to track these measures for the ancestors who contribute to half of the total genetic variability in the current population. The research draws upon genealogical information to achieve these objectives.

Findings

  • According to gathered data, the average inbreeding coefficient for the whole PRE population, which includes 328,706 horses, dropped from 8.45% to 7.51% over the past 20 years.
  • The inbreeding coefficient was estimated, resulting in a database of 58,772,533 records, with each one representing the inbreeding coefficient a specific horse shares with a common ancestor (CA).
  • A total of 10,244 common ancestors contributed to the inbreeding coefficient. Each has an average of 5,370 offspring, and each descendant has about 170 common ancestors.
  • Over time, the number of common ancestors in the PRE horse population has risen while the proportion of inbreeding by each has declined.
  • There has also been a significant shift in the contributions of influential ancestors.

Implications and Causes for Changes

  • In the studied population, the census has risen, and the use of artificial insemination is relatively limited. As breeders become more knowledgeable about inbreeding depression and the breeding values of animals, they are increasingly choosing horses for their functionality and conformation rather than their pedigree reputation.
  • These practices have led to the observed changes in the genetic parameters of the PRE horse population.

Cite This Article

APA
Perdomo-González DI, Sánchez-Guerrero MJ, Molina A, Valera M. (2020). Genetic Structure Analysis of the Pura Raza Español Horse Population through Partial Inbreeding Coefficient Estimation. Animals (Basel), 10(8). https://doi.org/10.3390/ani10081360

Publication

Animals : an open access journal from MDPI
ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 10
Issue: 8

Researcher Affiliations

Perdomo-González, Davinia I
  • Departamento de Ciencias Agro-forestales, ETSIA, Universidad de Sevilla, Carretera de Utrera Km 1, 41013 Sevilla, Spain.
Sánchez-Guerrero, María J
  • Departamento de Ciencias Agro-forestales, ETSIA, Universidad de Sevilla, Carretera de Utrera Km 1, 41013 Sevilla, Spain.
Molina, Antonio
  • Departamento de Genética, Universidad de Córdoba, Campus Universitario de Rabanales, Edificio Gregor J. Mendel, Planta baja, Carretera Madrid-Cádiz km 396ª, 14071 Córdoba, Spain.
Valera, Mercedes
  • Departamento de Ciencias Agro-forestales, ETSIA, Universidad de Sevilla, Carretera de Utrera Km 1, 41013 Sevilla, Spain.

Grant Funding

  • AGL-2017-84217-P / Ministerio de Economía, Industria y Competitividad, Gobierno de España

Conflict of Interest Statement

The authors declare no conflict of interest.

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