A novel system for on-farm fertility monitoring based on milk progesterone
| Autor: | Liesbeth François, Ines Adriaens, Jo L.M.R. Leroy, Wouter Saeys, Chris Lamberigts, Tjebbe Huybrechts, Katleen Geerinckx, Bart De Ketelaere, Ben Aernouts |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
DYNAMICS medicine.medical_treatment CANADIAN HOLSTEIN COWS Luteolysis CATTLE milk progesterone SYNERGISTIC CONTROL Pregnancy Statistics Insemination Artificial Progesterone media_common Pharmacology. Therapy ARTIFICIAL-INSEMINATION Agriculture REPRODUCTIVE STATUS 04 agricultural and veterinary sciences Milk Agriculture Dairy & Animal Science Food Science & Technology Female Life Sciences & Biomedicine Farms media_common.quotation_subject Fertility Luteal phase Biology Insemination 03 medical and health sciences LACTATING DAIRY-COWS BOVINE ESTROUS-CYCLE Genetics medicine statistical process control Animals on-line algorithm Estrous cycle Science & Technology Artificial insemination 0402 animal and dairy science monitoring fertility PROFILES medicine.disease 040201 dairy & animal science 030104 developmental biology Estrus Detection Cattle Animal Science and Zoology OVULATION Food Science |
| Zdroj: | Journal of dairy science |
| ISSN: | 0022-0302 |
| Popis: | Timely identification of a cow's reproduction status is essential to minimize fertility-related losses on dairy farms. This includes optimal estrus detection, pregnancy diagnosis, and the timely recognition of early embryonic death and ovarian problems. On-farm milk progesterone (P4) analysis can indicate all of these fertility events simultaneously. However, milk P4 measurements are subject to a large variability both in terms of measurement errors and absolute values between cycles. The objective of this paper is to present a newly developed methodology for detecting luteolysis preceding estrus and give an indication of its on-farm use. The innovative monitoring system presented is based on milk P4 using the principles of synergistic control. Instead of using filtering techniques and fixed thresholds, the present system employs an individually on-line updated model to describe the P4 profile, combined with a statistical process control chart to identify the cow's fertility status. The inputs for the latter are the residuals of the on-line updated model, corrected for the concentration-dependent variability that is typical for milk P4 measurements. To show its possible use, the system was validated on the P4 profiles of 38 dairy cows. The positive predictive value for luteolysis followed by estrus was 100%, meaning that the monitoring system picked up all estrous periods identified by the experts. Pregnancy or embryonic mortality was characterized by the absence or detection of luteolysis following an insemination, respectively. For 13 cows, no luteolysis was detected by the system within the 25 to 32 d after insemination, indicating pregnancy, which was confirmed later by rectal palpation. It was also shown that the system is able to cope with deviating P4 profiles having prolonged follicular or luteal phases, which may suggest the occurrence of cysts. Future research is recommended for optimizing sampling frequency, predicting the optimal insemination window, and establishing rules to detect problems based on deviating P4 patterns. ispartof: JOURNAL OF DAIRY SCIENCE vol:101 issue:9 pages:8369-8382 ispartof: location:United States status: published |
| Databáze: | OpenAIRE |
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