A deterministic simulation model for the evaluation of reproductive performance in Thoroughbred mares.
Abstract: The objective of the present study was to develop a deterministic simulation model for evaluating the reproductive performance of Thoroughbred mares. As an application, the model was used to estimate the herd level asymptotic foaling percentage (AFP) for evaluating the performance of mares in stabilized mare herds using the convergent method for estimating a steady-state distribution of mares. In this model, it was assumed that the mares were mated only during the breeding season. The effects of early pregnancy loss and fetal loss on reproductive performance were investigated. The sensitivities of AFP to changes in conception rate (CR), early pregnancy loss rate (EPLR), fetal loss rate (FLR), and postpartum mating interval (PMI) were examined. Furthermore, the AFPs were compared for two types of postpartum first mating schedules: mating during the first postpartum estrus cycle (foal heat) and first mating during the subsequent cycle. The results indicated that AFP was sensitive to changes in EPLR, FLR, and CR. The comparison of the two types of postpartum first mating schedules showed that AFP after foal heat mating was higher than after the subsequent estrus mating even with the decrease in reproductive parameters caused by foal heat mating in the model. In addition, even if mares did not mate during foal heat, AFP could be improved by shortening the estrus cycle with the administration of PGF.
Copyright © 2020 Elsevier Inc. All rights reserved.
Publication Date: 2020-12-11 PubMed ID: 33341503DOI: 10.1016/j.theriogenology.2020.12.012Google Scholar: Lookup
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Summary
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The research article presents a deterministic simulation model built to study and evaluate the reproductive performance of Thoroughbred mares. The model examines how potential changes in various parameters like conception rate, early pregnancy loss rate, and fetal loss rate may affect the herd’s overall foaling percentage.
Model Development
- The model was created to provide an evaluation of the reproductive performance of Thoroughbred mares. A deterministic simulation model was preferred given its ability to precisely predict outcomes based on specific initial conditions.
- The study utilized the model to calculate the herd level asymptotic foaling percentage (AFP), which is used to assess the performance of stable mare herds. AFP is essentially the proportion of mare pregnancies that result in a live foal.
- The model operated under the assumption that mares were only bred during the breeding season. This is consistent with standard Thoroughbred breeding practices.
Investigated Variables and Sensitivities
- The research explored the impact of early pregnancy loss and fetal loss on the mare’s reproductive performance. Both factors can significantly influence a mare’s ability to successfully bear a live foal.
- The study also investigated how changes in conception rate (CR), early pregnancy loss rate (EPLR), fetal loss rate (FLR), and postpartum mating interval (PMI) affected AFP. These factors were chosen given their direct relationship with mare maternity outcomes.
Results and Analysis
- The study found that AFP was sensitive to changes in early pregnancy loss rate, fetal loss rate, and conception rate. This highlights the importance of closely monitoring these factors in breeding programs to maximize mare fertility rates.
- The model compared AFP for two types of postpartum first mating schedules: mating during the first postpartum estrus cycle (also known as foal heat) and first mating during the subsequent cycle. Results showed that mating during foal heat resulted in higher AFP—even accounting for potential decreases in reproductive parameters—which suggests efficiency in this practice.
- Furthermore, the model suggested that even if mares did not mate during foal heat, AFP could still be improved by shortening the estrus cycle with the administration of Prostaglandin (PGF). PGF is a hormone known to induce estrus in mares, and can, therefore, be used to manipulate their breeding schedule for better outcomes.
Cite This Article
APA
Mure S, Oishi K, Hirooka H.
(2020).
A deterministic simulation model for the evaluation of reproductive performance in Thoroughbred mares.
Theriogenology, 161, 237-242.
https://doi.org/10.1016/j.theriogenology.2020.12.012 Publication
Researcher Affiliations
- Laboratory of Animal Husbandry Resources, Division of Applied Biosciences, Graduate School of Agriculture, Kyoto University, Kyoto, Japan.
- Laboratory of Animal Husbandry Resources, Division of Applied Biosciences, Graduate School of Agriculture, Kyoto University, Kyoto, Japan.
- Laboratory of Animal Husbandry Resources, Division of Applied Biosciences, Graduate School of Agriculture, Kyoto University, Kyoto, Japan. Electronic address: hirooka.hiroyuki.3s@kyoto-u.ac.jp.
MeSH Terms
- Abortion, Veterinary
- Animals
- Estrus
- Female
- Fertilization
- Horse Diseases
- Horses
- Postpartum Period
- Pregnancy
- Reproduction
Conflict of Interest Statement
Declaration of competing interest None.
Citations
This article has been cited 1 times.- Cardona-García M, Jiménez-Escobar C, Ferrer MS, Maldonado-Estrada JG. Follicular Dynamics and Pregnancy Rates during Foal Heat in Colombian Paso Fino Mares Bred under Permanent Grazing. Animals (Basel) 2024 Feb 29;14(5).
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