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Related Experiment Videos

Options in dairy data management

W G Etherington1, M L Kinsel, W E Marsh

  • 1Department of Population Medicine, Ontario Veterinary College, University of Guelph.

The Canadian Veterinary Journal = La Revue Veterinaire Canadienne
|January 1, 1995
PubMed
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Dairy herd management software is advancing, improving decision-making for profitability. Integrating biological, management, and economic data enhances understanding of interventions and boosts dairy farm efficiency.

Area of Science:

  • Agricultural Science
  • Animal Science
  • Data Management

Background:

  • Dairy herd management software has seen significant advancements.
  • Increased computer hardware speed, capacity, and portability, coupled with decreased costs, have spurred adoption by veterinarians and dairy managers.
  • Growing use of computers and software by dairy producers and support personnel is evident in literature.

Purpose of the Study:

  • To highlight the importance of information generated by dairy herd management systems for improving profitability.
  • To emphasize the need for reliable herd data to understand factors influencing performance and profitability.
  • To explore the value of merging biological, management, and economic data for evaluating interventions.

Main Methods:

  • Literature review on the adoption and impact of dairy herd management software.

Related Experiment Videos

  • Analysis of the role of data quality in decision-making for dairy production.
  • Discussion of the integration of diverse data types (biological, management, economic) for comprehensive analysis.
  • Main Results:

    • Improved record-keeping enables more profitable decisions based on accurate data.
    • Merging biological, management, and economic data aids in evaluating herd and individual animal interventions.
    • Sophisticated systems offer herd-specific insights into the complex factors influencing profitability.

    Conclusions:

    • Dairy herd management software adoption is increasing due to technological advancements.
    • Focusing on profitability through data-driven decisions is key to wider adoption.
    • Electronic data transfer is crucial for efficient information exchange and improved dairy management.