Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A health program for commercial dairy herds. 2. Data processing.

R M Cannon, R S Morris, N B Williamson

    Australian Veterinary Journal
    |May 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Japanese encephalitis virus: epidemiology and risk-based surveillance approaches for New Zealand.

    New Zealand veterinary journal·2023
    Same author

    Effect of bismuth subnitrate on in vitro growth of major mastitis pathogens.

    Journal of dairy science·2020
    Same author

    Global Transplantation COVID Report March 2020.

    Transplantation·2020
    Same author

    Evaluation of post-exposure prophylaxis practices to improve the cost-effectiveness of rabies control in human cases potentially exposed to rabies in southern Bhutan.

    BMC infectious diseases·2020
    Same author

    Breed is associated with the ABCB1-1Δ mutation in Australian dogs.

    Australian veterinary journal·2019
    Same author

    A literature-based cost analysis of tissue plasminogen activator for prevention of biliary stricture in donation after circulatory death liver transplantation.

    American journal of surgery·2018
    Same journal

    Basal body temperature as a biomarker of reproductive state in ewes: A multi-method comparison.

    Australian veterinary journal·2026
    Same journal

    Impact of climate on Australian, non-Vector-borne infectious animal diseases: A scoping review.

    Australian veterinary journal·2026
    Same journal

    A 9-year retrospective mortality review of captive orange-bellied parrots (Neophema chrysogaster) in Australia.

    Australian veterinary journal·2026
    Same journal

    Antimicrobial-resistant Staphylococcus aureus isolated from Australian wildlife admitted to a veterinary hospital.

    Australian veterinary journal·2026
    Same journal

    Asymptomatic thrombocytopenia in Akitas: a prospective cross-sectional study of platelet characteristics in an Eastern Australian population.

    Australian veterinary journal·2026
    Same journal

    Partial amputation regrowth of P4 distal digit in an eastern grey kangaroo (Macropus giganteus): a case report.

    Australian veterinary journal·2026
    See all related articles

    This study details an 8-year development of a computerized dairy herd health system. The system aids management by identifying high-risk cows and analyzing health and production data to detect emerging issues.

    Area of Science:

    • Veterinary Medicine
    • Animal Science
    • Data Management

    Background:

    • Effective management of commercial dairy herds requires robust health and production monitoring.
    • Traditional methods often lack the efficiency and analytical depth needed for proactive problem identification.

    Purpose of the Study:

    • To describe the development of a computerized data handling and analysis system for dairy herd health programs.
    • To outline the system's aims and its evolution over an eight-year period.
    • To highlight unique features for risk assessment and early problem detection.

    Main Methods:

    • Systematic development over 8 years, focusing on data handling and analysis.
    • Integration of documentation for dairy herd health program procedures.

    Related Experiment Videos

  • Implementation of unique features for selecting high-risk cows and analyzing performance data.

    • Main Results:

    • A functional computerized system aiding dairy herd health management.
    • Identification of problem and high-risk cows for targeted examination and treatment.
    • Provision of performance analyses for early detection of emerging health and production issues.

    Conclusions:

    • The developed system enhances dairy herd health management through data-driven insights.
    • Future improvements are planned for milk production recording, calf rearing, and disease recording.
    • The system's unique features contribute to proactive and efficient dairy farm operations.