Cover Image

Precision livestock farming applications

Making sense of sensors to support farm management


Published: May 2015  Pages: 328

eISBN: 978-90-8686-815-5 | ISBN: 978-90-8686-268-9

Book Type: Edited Collection
Abstract:

The objective of the current study was to determine the accuracy of disease detection based on daily rumination time (DRT) and activity of periparturient dairy cows. All animals were fitted with rumination/activity monitors from -21 to 21 days relative to calving. Cows that were within the lowest 25th percentile of milk yield in the first 90 d postpartum had reduced DRT, but there was no association between milk yield and activity during the periparturient period. Based on criterion created using DRT, stillbirth could be diagnosed with sensitivity and specificity of 50 and 79.7%, respectively. Two criteria could be used for diagnosis of sub-clinical hypocalcemia on the day of calving; one resulted in 66.7 and 61.3% sensitivity and specificity, and the other sensitivity and specificity of 82.7 and 49.6%, respectively. Metritis could be diagnosed 72 h after calving with a sensitivity and specificity of 75 and 93.1%, respectively. Among cows that were diagnosed with retained placenta within 24 h after calving, the DRT criterion resulted in sensitivity and specificity of 70.8 and 75%, respectively. In conclusion, automated monitoring of DRT could possibly be used as a tool for diagnosis of periparturient diseases; however, the use of DRT data to select individuals for treatment without additional diagnostic exams is likely to results in erroneous treatment of periparturient cows.

Please note:

If you have attempted access to this content via the ‘Download PDF’ option available in ‘Site tools', and have been denied access to your licensed content, please try again via the ‘Full-text’ tab above.

Your Access Options


New titles

Related titles:

Cover image Precision technology and sensor applications Cover image Precision Agriculture '21 Cover image Precision livestock farming applications