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Timed artificial insemination protocols in dairy cattle: Functioning, shortcomings, and improvements

Author

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  • Amine Boudaoud

    (LESPA, Department of Veterinary sciences, Institute of Veterinary and Agronomic Sciences, University of Batna 1, Batna, Algeria)

Abstract

Oestrus detection is currently at the top of the factors limiting the success of artificial insemination in dairy herds. This limitation becomes more pronounced as milk production increases because of higher metabolic clearance rates of steroid hormones leading to low circulating oestradiol concentration near oestrus. The standard OvSynch has overcome this problem by enabling fixed-time artificial insemination, for it synchronises follicular wave emergence, luteolysis, and ovulation. However, it did not improve fertility compared to cycles with spontaneous ovulation, which motivated the development of "fertility programs". These later are nothing but improved OvSynch protocol. This article explains what went wrong with the original OvSynch protocol, discusses the improvements made by "fertility programs", and highlights the advantages and limits of the newly tested molecules.

Suggested Citation

  • Amine Boudaoud, 2023. "Timed artificial insemination protocols in dairy cattle: Functioning, shortcomings, and improvements," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 68(6), pages 231-244.
  • Handle: RePEc:caa:jnlcjs:v:68:y:2023:i:6:id:208-2022-cjas
    DOI: 10.17221/208/2022-CJAS
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    Cited by:

    1. repec:caa:jnlcjs:v:preprint:id:156-2023-cjas is not listed on IDEAS
    2. Luděk Stádník & Veronika Kinterová & Jiří Šichtař & Jaromír Ducháček & Matúš Gašparík & Lucie Němcová & Radek Procházka & Radim Codl, 2024. "Comparison of selected data acquisition models using on-farm production records on qualitative parameters of oocytes in dairy cows," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 69(1), pages 1-10.
    3. Jan Saro & Luděk Stádník & Petra Bláhová & Simona Huguet & Helena Brožová & Jaromír Ducháček, 2024. "A decision support system based on disease scoring enables dairy farmers to proactively improve herd health," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 69(5), pages 165-177.

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