Assessing ovulation detection performance in commercial dairy herds using progesterone concentrations from limited numbers of strategically collected milk samples

It is important to assess ovulation detection performance in commercial dairy herds both to investigate low reproductive performance and to enable herd managers to monitor the effectiveness of their system for detecting ovulations. A method was developed to assess ovulation detection performance tha...

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Bibliographic Details
Published in:Journal of dairy science 2010-07, Vol.93 (7), p.3019-3030
Main Authors: Morton, J.M., Wynn, P.C.
Format: Article
Language:English
Subjects:
Animal productions
Animals
Biological and medical sciences
Cattle
dairy
Dairying - methods
detection
estrus
Female
Food industries
Fundamental and applied biological sciences. Psychology
General aspects
Methods of analysis, processing and quality control, regulation, standards
Milk - chemistry
ovulation
Ovulation Detection - methods
Ovulation Detection - veterinary
Predictive Value of Tests
Progesterone - analysis
Terrestrial animal productions
Vertebrates
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Summary:It is important to assess ovulation detection performance in commercial dairy herds both to investigate low reproductive performance and to enable herd managers to monitor the effectiveness of their system for detecting ovulations. A method was developed to assess ovulation detection performance that uses limited numbers of strategically collected milk samples, assesses performance over the period when herd managers are making maximal effort to detect ovulations, and when assessing proportions of ovulations detected, accounts for false positive diagnoses of estrus and for cows that have not recommenced postpartum ovulatory cycles. Milk was sampled from cows not diagnosed in estrus early in the breeding program (about d 26 in year-round calving herds and d 22 in seasonal calving herds); milk samples were also collected from cows on the day of insemination. Cows with high milk progesterone concentrations were assumed to have had undetected ovulations and false positive diagnoses of estrus, respectively. The method was successfully implemented in 161 of 167 commercial dairy herds. Positive predictive values (PPV; the proportions of ovulation diagnoses where ovulation was, in fact, imminent) were generally high in both year-round and seasonal calving herds (median values were 0.96 and 0.97, respectively), but 25% of herds had PPV
ISSN:0022-0302
1525-3198
DOI:10.3168/jds.2009-2938