Effect of insemination timing and body condition score on pregnancy rate in crossbred dairy cows

Authors

  • Fakhar Zaman Khan Department of Livestock Management Breeding and Genetics, Faculty of Animal Husbandry and Veterinary Sciences. The University of Agriculture, Khyber Pakhtunkhwa, Peshawar, Pakistan.
  • Ihsan Ullah Department of Livestock Management Breeding and Genetics, Faculty of Animal Husbandry and Veterinary Sciences. The University of Agriculture, Khyber Pakhtunkhwa, Peshawar, Pakistan.
  • Fasih Ullah Livestock and Dairy Development Department (Extension), Khyber Pakhtunkhwa, Pakistan.
  • Fath Ullah Livestock and Dairy Development Department (Extension), Khyber Pakhtunkhwa, Pakistan.
  • Faheem Ullah Khan Department of Poultry Science, Faculty of Animal Husbandry and Veterinary Sciences. The University of Agriculture, Khyber Pakhtunkhwa, Peshawar
  • Muhammad Ishtiaq Khan Livestock and Dairy Development Department (Extension), Khyber Pakhtunkhwa, Pakistan.
  • Ihsan Ullah Khan Livestock and Dairy Development Department (Research), Khyber Pakhtunkhwa, Pakistan.
  • Asif Nawaz Livestock and Dairy Development Department (Extension), Khyber Pakhtunkhwa, Pakistan.
  • Muhammad Asif Livestock and Dairy Development Department (Research), Khyber Pakhtunkhwa, Pakistan.
  • Muhammad Idrees Khan Livestock and Dairy Development Department (Extension), Khyber Pakhtunkhwa, Pakistan.
  • Ihtesham Faculty of Veterinary and Animal Science, Gomal University, D.I.Khan, Khyber Pakhtunkhwa, Pakistan.
  • Aamir Khan Livestock and Dairy Development Department (Extension), Khyber Pakhtunkhwa, Pakistan.

Keywords:

Artificial insemination, Body condition score, Crossbred, Estrus, Fertility, Parity, Pregnancy

Abstract

The objective of this study was to investigate the relationship in crossbred dairy cows between the timing of artificial insemination (AI) relative to the onset of estrus and body condition. 120 clinically healthy cows were selected from local farms for procedures of AI. Cows in the trial were categorized into two groups, A and B, each comprising 60 animals. Group A had a body condition score of 3–3.5, while Group B had a BCS of 2–2.5. Each group was subdivided into three treatment subgroups based on the AI timing following the onset of estrus: T1 (12–18 hours), T2 (18–24 hours), and T3 (24–30 hours). Statistical analyses were performed using SPSS version 16.0, with the chi-square test employed to assess differences between groups, and for calculation of frequency distributions. The results revealed that cows in group A (BCS 3–3.5) subjected to AI in the T_III interval (24–30 hours post-estrus) achieved a significantly higher pregnancy rate of 80% (P>0.05) compared to 45% in those inseminated during T_I (12–18 hours). Similarly, cows in group B (BCS 2–2.5) inseminated at T_III exhibited a significantly higher pregnancy rate of 70% (P<0.05) compared to 35% in cows inseminated during T_I. Although the BCS did not exhibit a statistically significant impact on pregnancy rates across all groups, cows with a BCS of 3–3.5 demonstrated higher pregnancy success compared to those with a BCS of 2–2.5. Additionally, while parity was not significantly correlated with pregnancy outcomes, a numerically higher pregnancy rate was observed in cows of third parity, followed by second-parity animals. In conclusion, optimizing the timing of artificial insemination to estrus onset, combined with consideration of body condition score, can enhance fertility outcomes in crossbred dairy cows.

References

. Noakes DE, Parkinson TJ, England GC (2018) Arthur’s veterinary reproduction and obstetrics-E-book. Elsevier Health Sciences.

. Mouffok C, Allouni A, Semara L, Belkasmi F, (2019) Factors affecting the conception rate of artificial insemination in small cattle dairy farms in an Algerian semi-arid area. Livestock Res Rural Develop 31:1–9.

. Galli C (2018) Achievements and unmet promises of assisted reproduction technologies in large animals: a personal perspective. Anim Repro (AR) 14:614–621.

. Rauthan A, Mehta P, Nautiyal , Jayara S, Nautiyal S, Bhaskar R, Semwal A (2022) Process and importance of artificial insemination in cows. Interl J of Vet Sci and Agri Res 4:1–14.

. Graham ME, Jelin A, Hoon-Jr AH, Wilms-Floet AM, Levey E, Graham EM 2023 Assisted reproductive technology: Short- and long-term outcomes. Develop Med & Child Neuro 65:38–49.

. Vishwanath R (2003) Artificial insemination: the state of the art. Therio 59:571–584.

. Consentini CE, Alves RL, Silva MA, Galindez JP, Madureira G, Lima LG, sartori R (2023) What are the factors associated with pregnancy loss after timed-artificial insemination in Bos indicus cattle? Theriogeno 196:264–269.

. Singh R, Randhawa S, Randhawa C (2015) Body condition score and its correlation with ultrasonographic back fat thickness in transition crossbred cows. Vet World 8:290.

. Gugssa, T. (2015). Effects of prostaglandin administration frequency, artificial insemination timing and breed on fertility of cows and heifers in eastern zone of Tigray region, Ethiopia (Doctoral dissertation, Mekelle University).

. Tippenhauer C, Plenio JL, Heuwieser W, Borchardt S (2023) Association of activity and subsequent fertility of dairy cows after spontaneous estrus or timed artificial insemination. J of Dairy Sci 106:4291–4305.

. Ombelet W, Robays JV (2015) Artificial insemination history: hurdles and milestones. Facts Views Vis ObGyn 7:137.

. Kadivar A, Ahmadi MR, Vatankhah M (2014) Associations of prepartum body condition score with occurrence of clinical endometritis and resumption of postpartum ovarian activity in dairy cattle. Tropic Anim Health Prod 46:121–126.

. Legesse, D. (2016). Assessment of breeding practice and evaluation of estrus synchronization of dairy cattle in Sidama Zone, Southern Ethiopia. M Sc, Hawassa University. Hawassa, Ethiopia.

. Lopes JS, Alcázar-Triviño E, Soriano-Úbeda C, Hamdi M, Cánovas S, Rizos D, Coy P (2020) Reproductive outcomes and endocrine profile in artificially inseminated versus embryo transferred cows. Anim 10:1359.

. Morrell JM (2011) Artificial insemination: current and future trends. Artif Insemin Farm Anim 1:1–14.

. Mulliniks J, Cox S, Kemp ME, Endecott RL, Waterman RC, VanLeeuwen DM, Petersen MK (2012) Relationship between body condition score at calving and reproductive performance in young postpartum cows grazing native range. J of Anim Sci 90:2811–2817.

. Gupta V, Farooqui M, Verma A (2023) Body Condition Score: A Tool for Health Assessment in Goat 4: 556-560.

. Lefebvre R, Faverdin P, Barbey S, Jurquet J, Tribout T, Boichard D, Martin P (2023) Association between body condition genomic values and feed intake, milk production, and body weight in French Holstein cows. J of Dairy Sci 106:381–391.

. Mohammed A (2018) Artificial insemination and its economical significancy in dairy cattle. Inter J of Res Studies Micro and Biotech 4:30-43.

. Dorsey BR, Kasimanickam R, Whittier WD, Nebel RL, Wahlberg ML, Hall JB (2011) Effect of time from estrus to AI on pregnancy rates in estrous synchronized beef heifers. Anim Repro Sci 127:1–6.

. López-Gatius F, Yániz J, Madriles-Helm D (2003) Effects of body condition score and score change on the reproductive performance of dairy cows: a meta-analysis. Theriogeno 59:801–812.

. Woldu T, Giorgis YT, Haile A (2011) Factors affecting conception rate in artificially inseminated cattle under farmers’ condition in Ethiopia. J of Cell and Anim Bio 5:334–338.

. Khan, M. R. K., Uddin, J., & Gofur, M. R. (2015). Effect of age, parity and breed on conception rate and number of service per conception in artificially inseminated cows. Age (year), 2(3), 19.

Downloads

Published

2025-02-28

Issue

Section

Articles
Loading...