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Factors affecting milk yield and reproductive performance

R L Laben, R Shanks, P J Berger

    Journal of Dairy Science
    |June 1, 1982
    PubMed
    Summary

    High-producing dairy herds often show better reproductive efficiency, with shorter intervals to first postpartum breeding. However, individual high-yield cows may face reproductive challenges, highlighting the importance of effective herd management and estrus detection.

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    Area of Science:

    • Animal Science
    • Dairy Science
    • Reproductive Biology

    Background:

    • Dairy herd reproductive performance is crucial for economic viability.
    • High milk yield can potentially impact reproductive efficiency in dairy cows.

    Purpose of the Study:

    • To investigate the relationship between dairy herd size, milk yield, and reproductive parameters.
    • To identify factors influencing reproductive efficiency in high-producing dairy herds.

    Main Methods:

    • Analysis of Dairy Herd Improvement testing records from 201 diverse dairy herds.
    • Statistical evaluation of herd size, average milk yield (kg), days to first postpartum breeding, days open, and number of breedings.

    Main Results:

    • Herds exceeding 500 cows showed shorter average days to first postpartum breeding.

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  • Optimal herd size for production per cow was between 300-600 cows.
  • Higher average herd yields correlated with shorter intervals to first postpartum breeding and fewer days open.
  • Individual high-yield cows exhibited a slight antagonistic association with reproductive efficiency.
  • For every 100 kg increase in fat-corrected milk yield, days to first breeding, last breeding, and days open increased, with a slight increase in breedings needed.

    • Conclusions:

    • While individual high-yield cows may face reproductive challenges, effective herd management, particularly estrus detection, can mitigate these issues in high-producing herds.
    • Herd size and milk production levels are associated with reproductive performance, suggesting management practices play a key role in optimizing both.