Evaluation of Rumination and Milk Yield Alerts Utilizing SCR System for Mastitis, Ketosis, and Abomasal Displacement on the Dairy Cow Farm in Vietnam
Evaluation of Rumination and Milk Yield Alerts Utilizing SCR System for Mastitis, Ketosis, and Abomasal Displacement on the Dairy Cow Farm in Vietnam
Thuong Thi Nguyen1*, Nhu Quynh Ho1, Thuan Khanh Nguyen2, Tuan Phong Vu Anh Vo3, Hai Thanh Duong4
ABSTRACT
This study was conducted on the dairy cow farm in Gia Lai Province, Vietnam, from June 2022 to June 2023 using SCR chips and analyzing by DataFlow™ II management software. SCR chips were implanted in cow’s necks to monitor their rumination indexes and physical activities. Based on rumination time and milk yield data, the alerts of Health–milked from cows HIS < 75 units were reported daily. Of 250 cows 0-90 days of milking, 205 cows had at least one disease, and 45 were healthy. The SCR system sensitivity was 58.33%. Rumination alerts recorded 345 alerts, including 203 alerts of diseases after clinical examination, in which abomasal displacement was 100% alert effective, ketosis at 73.53% alerts, and mastitis at 63.83% alerts. However, the rates of mastitis, ketosis, and abomasal displacement were 24%, 13.6%, and 10%, respectively. On the alert day, rumination time and milk yield of diseased cows were lower than those of non-diseased cows (P<0.05). Rumination time and milk yield decreased markedly on the alert day compared to 7 days before the alert in diseased cows (P<0.01), while milk production did not change in non-diseased cows (P>0.05). The HF breed had more variation in rumination time than HFxJS, while milk yield was affected more in HFxJS. The parity also affected rumination time and milk yield. SCR systems monitored rumination time and milk yield to identify health disorders and support early diagnosis of mastitis, ketosis, and abomasal displacement in the dairy cow farm.
Keywords | Alerts, Dairy cows, Milk yield, Rumination, SCR systems
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