title: Fertility and infertility assessment by review of records.
abstract: The assessment of fertility and infertility in dairy herds requires accurate and complete data that are collected in a timely manner. The data must be entered in a record system that provides easy accessibility. An understanding of terminology and statistical calculations, along with knowledge of industry standards, reproductive physiology, and pathology is essential if problem solving is to occur. Problem solving begins by developing an understanding of the events influencing past reproductive performance. Progress is made by establishing a detailed reproductive management plan to monitor the current breeding herd and to identify potential problems before they occur. The introduction of microcomputers and on-farm record systems has greatly enhanced the veterinarian's ability to access and process data. For the first time in history, cowside health data collection systems integrated with production records are being used. This provides the opportunity to collect and summarize and analyze reproductive and production data as the events occur. Successful reproductive performance depends on effective and efficient management. For veterinarians to effectively and positively influence the reproductive performance of the herd, they must influence management. This requires working with dairy management to make changes in job assignments and description. Taking time to assess records with managers is an invaluable tool to convince dairy management of the necessity for change.
authors.affiliation: Veterinary Medical Extension, University of Missouri College of Veterinary Medicine, Columbia.
authors.forename: D K
authors.initials: DK
authors.lastname: Hardin
mesh_terms: D000818:Animals; D002417:Cattle; D002418:Cattle Diseases / Q000175:diagnosis*; D005260:Female; D005298:Fertility; D007247:Infertility, Female / Q000175:diagnosis / Q000662:veterinary*; D011247:Pregnancy; D011996:Records / Q000592:standards / Q000662:veterinary*; D014730:Veterinary Medicine / Q000379:methods*