Analyze Diet
Animal : an international journal of animal bioscience2022; 16(4); 100498; doi: 10.1016/j.animal.2022.100498

Estimation of milk production in suckling mares and factors influencing their milk yield.

Abstract: Research about mare's milk is mainly focused on quality and information about quantity is incomplete partly due to the lack of a consensus on the method of measuring milk yield. The live weight, body condition at foaling and age of mares are factors influencing milk yield. The influence of mare parity, however, remains unclear. Over a period of 2 years (2018-2019), milk yield was evaluated on 65 mares (51 multiparous and 13 primiparous). Mares and foals were kept in a group at pasture. One method of milk yield measurement and one proxy method were applied; milking and weight-suckle-weight (WSW), respectively. The procedure was performed at five timepoints during the lactation period (3-30-60-90 and 180 days) without repetition. The relevance of WSW was addressed by studying the correlation between the two methods on 23 individuals. Factors influencing milk yield, through milking data, were studied on 57 individuals. Data was divided into two subsets. The first was an explanatory matrix containing the live weight of mares 24 h after parturition, parity, age, year of lactation and foal gender. The second was a response matrix containing data from milking at the five timepoints of the lactation. A correlation was found (RV = 0.41) between milking and WSW at day 3, however no correlation was found for other timepoints (RV ≤ 0.15). The live weight of the mare 24 h after foaling, age and parity appeared to have a significant impact on milk production (P < 0.05). Thus, older or multiparous mares showed a higher milk yield than younger or primiparous mares. In addition, mares with a higher live weight after foaling produced more milk than those with a lower live weight. Overall, results can lead us to two main conclusions. First, the WSW method performed at five different timepoints of the lactation, but without repeated measurements, is not an efficient way to estimate the milk yield of mares. Secondly, results concerning the live weight and age of mares were in accordance with previous studies. The influence of parity was also highlighted, confirming trends showed by other authors. Age and parity are closely related in our population, making it difficult to differentially assess their effects. Being able to identify the impact of both factors independently would benefit several sectors of the horse industry from sport to mare milk producers.
Publication Date: 2022-03-23 PubMed ID: 35338904DOI: 10.1016/j.animal.2022.100498Google 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 factors influencing milk yield in mares and the efficiency of commonly used measuring methods over a two-year study. Findings reveal that a mare’s age, parity (number of times a mare has foaled), and live weight after foaling significantly impact milk yield. However, the study finds that the Weight-Suckle-Weight (WSW) method may not be the most accurate means of estimating milk yield.

Study Overview

  • The study was conducted over two years (2018–2019) on 65 mares, out of which 51 were multiparous (had multiple foals) and 13 were primiparous (had only one foal).
  • Mares and foals were kept in a group at pasture, and milk yield was measured at five different times during the lactation period: 3, 30, 60, 90, and 180 days.
  • To measure milk yield, the researchers used two methods — milking and the Weight-Suckle-Weight (WSW) method.

Correlation between Milking and WSW Method

  • The researchers analyzed the relationship between the milking method and the WSW method to evaluate the validity of the WSW method.
  • They found a correlation between these two methods at the early lactation stage (3rd day) but not at other points in the lactation period. This suggests that the WSW method may not be reliable for estimating yield throughout lactation.

Factors Influencing Milk Yield

  • Analyses were conducted to identify the factors influencing milk yield. Factors considered included the mare’s live weight 24 hours after foaling, the age of the mare, number of foaling experiences (parity), the year of lactation, and the foal’s gender.
  • Findings revealed that the mare’s age, parity, and live weight after foaling significantly impact milk production. Older mares, as well as those who have given birth multiple times, produced higher milk yield. Additionally, mares with higher live weight after foaling produced more milk than those with lower live weight.

Implications

  • The findings of the research suggest that the Weight-Suckle-Weight (WSW) method may not be an accurate method for estimating milk yield in mares.
  • The research further stresses the influence of age, parity, and post-partum weight on the milk yield of mares, findings that align with previous research and give further validity to these factors.
  • This study provides valuable insights for the industry particularly in terms of breeding and husbandry practices, as well as for mare milk producers.

Cite This Article

APA
Auclair-Ronzaud J, Jaffrézic F, Wimel L, Dubois C, Laloë D, Chavatte-Palmer P. (2022). Estimation of milk production in suckling mares and factors influencing their milk yield. Animal, 16(4), 100498. https://doi.org/10.1016/j.animal.2022.100498

Publication

ISSN: 1751-732X
NlmUniqueID: 101303270
Country: England
Language: English
Volume: 16
Issue: 4
Pages: 100498
PII: S1751-7311(22)00049-0

Researcher Affiliations

Auclair-Ronzaud, J
  • Plateau technique de la station expérimentale de Chamberet, Institut Français du Cheval et de l'Équitation, 1 Impasse des Haras, 19370 Chamberet, France. Electronic address: juliette.auclair-ronzaud@ifce.fr.
Jaffrézic, F
  • Génétique Animale et Biologie Intégrative, Institut National de Recherche pour l'Agriculture, l'alimentation et l'Environnement, AgroParisTech, Paris-Saclay, 78350 Jouy-en-Josas, France.
Wimel, L
  • Plateau technique de la station expérimentale de Chamberet, Institut Français du Cheval et de l'Équitation, 1 Impasse des Haras, 19370 Chamberet, France.
Dubois, C
  • Plateau technique de la station expérimentale de Chamberet, Institut Français du Cheval et de l'Équitation, 1 Impasse des Haras, 19370 Chamberet, France.
Laloë, D
  • Génétique Animale et Biologie Intégrative, Institut National de Recherche pour l'Agriculture, l'alimentation et l'Environnement, AgroParisTech, Paris-Saclay, 78350 Jouy-en-Josas, France.
Chavatte-Palmer, P
  • Université Paris-Saclay, Institut National de Recherche pour l'Agriculture, l'alimentation et l'Environnement, Biologie de la Reproduction, Environnement, Épigénétique, et Développement, 78350 Jouy-en-Josas, France; Ecole Nationale Vétérinaire d'Alfort, Biologie de la Reproduction, Environnement, Épigénétique, et Développement, 94700, Maison-Alfort, France.

MeSH Terms

  • Animals
  • Female
  • Horses
  • Lactation / physiology
  • Milk
  • Parity
  • Parturition
  • Pregnancy

Citations

This article has been cited 6 times.
  1. Hallman I, Karikoski N, Kareskoski M. The effects of obesity and insulin dysregulation on mare reproduction, pregnancy, and foal health: a review. Front Vet Sci 2023;10:1180622.
    doi: 10.3389/fvets.2023.1180622pubmed: 37152686google scholar: lookup
  2. Lian W, Ding J, Xiong T, Liuding J, Nie L. Determinants of delayed onset of lactogenesis II among women who delivered via Cesarean section at a tertiary hospital in China: a prospective cohort study. Int Breastfeed J 2022 Nov 30;17(1):81.
    doi: 10.1186/s13006-022-00523-3pubmed: 36451171google scholar: lookup
  3. Huang X, He L, Ma J, Li Y, Li J, Zang C, Hou M, Li X. Ellagic acid on milk production performance, blood and milk hormones, antioxidant capacity and fecal microbial communities in lactating Yili mares. Front Microbiol 2025;16:1656100.
    doi: 10.3389/fmicb.2025.1656100pubmed: 40881293google scholar: lookup
  4. Wagner JCP, Edwards M, Trivedi S, Minter LJ, Ange-van Heugten K. Domestic Quarter Horse (Equus caballus) Milk Macronutrient Composition Analyses Within Micro Quantities from Two Different Geographical Locations. Animals (Basel) 2025 Mar 19;15(6).
    doi: 10.3390/ani15060882pubmed: 40150411google scholar: lookup
  5. Blanco-Doval A, Barron LJR, Aldai N. Nutritional Quality and Socio-Ecological Benefits of Mare Milk Produced under Grazing Management. Foods 2024 May 4;13(9).
    doi: 10.3390/foods13091412pubmed: 38731783google scholar: lookup
  6. Robles M, Rousseau-Ralliard D, Dubois C, Josse T, Nouveau É, Dahirel M, Wimel L, Couturier-Tarrade A, Chavatte-Palmer P. Obesity during Pregnancy in the Horse: Effect on Term Placental Structure and Gene Expression, as Well as Colostrum and Milk Fatty Acid Concentration. Vet Sci 2023 Dec 4;10(12).
    doi: 10.3390/vetsci10120691pubmed: 38133242google scholar: lookup