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Animal reproduction science2009; 117(1-2); 106-110; doi: 10.1016/j.anireprosci.2009.04.010

Factors influencing conception rates of Arab mares in Tunisia.

Abstract: In order to investigate the factors affecting the reproduction efficiency of Arab breeding mares in Tunisia, breeding data corresponding to 2340 mated cycles, over 5 years (from 2000 to 2004), from 555 mares offspring of 50 sires and bred with 17 stallions were analysed using a multivariate logistic regression. We chose logit link function and binomial distribution and we used log-likelihood-ratio (LL) and Wald tests (X(2)Wald) to test the mean values. The factors of variation included in the model were the year, the stallion, the age of the mare at mating, the sire and the category of the mare. Logistic regression results showed that age and sire affected both the overall conception rate and the first-cycle conception rate of the mares whilst category and stallion influenced only the overall conception rate. To our knowledge, this is the first study showing that the sire of the mare can affect both the first-cycle conception rate and the overall conception rate of the mares.
Publication Date: 2009-05-04 PubMed ID: 19481379DOI: 10.1016/j.anireprosci.2009.04.010Google Scholar: Lookup
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  • Journal Article

Summary

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This research looked at reproductive efficiency in Arab mares in Tunisia, examining factors such as the age and lineage of the mare, as well as the stallion’s influence, over five years, which revealed that not only age but the mare’s sire can impact overall and first-cycle conception rates.

Study Design and Methodology

  • The researchers analyzed breeding data for 555 Arab mares from 50 sires, mated with 17 stallions, over five years (between 2000 to 2004) in Tunisia. These represented 2340 breeding cycles.
  • The analysis method used was a multivariate logistic regression. This is a statistical procedure for predicting the outcome of a binary dependent variable based on one or more predictor variables.
  • In particular, the researchers used a logit link function and binomial distribution in their logistic regression analysis. Such tools are used to model binary outcome variables in the datas.
  • To validate the differences in mean values, the log-likelihood-ratio (LL) and Wald tests were utilized. These statistical tests are often used to compare the fits of different statistical models.

Variables in the Model

  • Variables incorporated in the model were year, stallion, the age of the mare at mating, the sire, and the category of the mare.
  • The ‘year’ might be considered to account for any temporal changes that could influence conception rates, such as changes in management practices, climate, etc.
  • ‘Stallion’, ‘age of the mare at mating’, and ‘sire’ were included as variables to understand the influence of these factors on conception rates.
  • ‘Category of mare’ would address mare’s breed pedigree or reproductive status.

Find Significant Findings

  • The results of the logistic regression showed that the age and sire of the mare significantly impacted both overall conception rate and the first-cycle conception rate.
  • It was also deduced that the category of the mare and the stallion had an effect on the overall conception rate.
  • Notably, the researchers claimed theirs to be the first study to show that the sire of the mare could affect both the first-cycle conception rate and the overall conception rate of the mares. This infers biological and genetic influence on the fertility of the mares could be drawn from the sire’s lineage.

Importance of the Findings

  • The study’s findings are significant as they provide novel insights into the factors affecting the reproductive efficiency of Arab mares. Specifically, the influence of the mare’s age and sire can inform breeding strategies to optimize conception rates.
  • This research study is important to breeders, veterinarians, and researchers involved with horse breeding, not only in Tunisia but worldwide, especially those dealing with Arab horses.

Cite This Article

APA
Benhajali H, Richard-Yris MA, Ezzaouia M, Charfi F, Hausberger M. (2009). Factors influencing conception rates of Arab mares in Tunisia. Anim Reprod Sci, 117(1-2), 106-110. https://doi.org/10.1016/j.anireprosci.2009.04.010

Publication

ISSN: 1873-2232
NlmUniqueID: 7807205
Country: Netherlands
Language: English
Volume: 117
Issue: 1-2
Pages: 106-110

Researcher Affiliations

Benhajali, Haifa
  • Université de Rennes I, UMR CNRS 6552, Campus de Beaulieu, 263 av. Général Leclerc, 35042 Rennes Cedex, France.
Richard-Yris, Marie-Annick
    Ezzaouia, Mohammed
      Charfi, Faouzia
        Hausberger, Martine

          MeSH Terms

          • Age Factors
          • Animals
          • Breeding / statistics & numerical data
          • Estrous Cycle
          • Female
          • Fertility
          • Fertilization / physiology
          • Horses / physiology
          • Logistic Models
          • Male
          • Pregnancy
          • Tunisia

          Citations

          This article has been cited 3 times.
          1. Aouane N, Nasri A, Bekara MAA, Metref AK, Kaidi R. Retrospective study of the reproductive performance of Barb and Thoroughbred stallions in Algeria.. Vet World 2019 Jul;12(7):1132-1139.
          2. Kowalczyk A, Czerniawska-Piątkowska E, Kuczaj M. Factors Influencing the Popularity of Artificial Insemination of Mares in Europe.. Animals (Basel) 2019 Jul 19;9(7).
            doi: 10.3390/ani9070460pubmed: 31331026google scholar: lookup
          3. Warriach HM, Memon MA, Ahmad N, Norman ST, Ghafar A, Arif M. Reproductive Performance of Arabian and Thoroughbred Mares under Subtropical Conditions of Pakistan.. Asian-Australas J Anim Sci 2014 Jul;27(7):932-6.
            doi: 10.5713/ajas.2013.13547pubmed: 25050033google scholar: lookup