• Asian-Australasian Journal of Animal Sciences
• /
• v.14 no.1
• /
• pp.88-91
• /
• 2001

In order to investigate the relationship between the incidence of displaced abomasum and feeding, the actual feeding practices and chemical compositions of roughage were examined in 2 kinds of farms at Tokachi district in Hokkaido. Examination of animal health records revealed that the annual milk yield per cow in high incidence (H-DA) farms was significantly higher than that in low incidence (L-DA) farms. The amount of concentrates fed in H-DA farms tended to be higher than that in L-DA farms during lactation. Compared to L-DA farms, the amount of juicy roughage (corn silage and grass silage) and dry roughage (hay, hay cube and roll wrap silage) during lactation in H-DA farms tended to be higher and lower, respectively. Moreover, the amount of roughage and the ratio of roughage to concentrates in H-DA farms tended to be lower than in L-DA farms. The survey indicated that displaced abomasum was associated with insufficient feeding of dietary fiber and overfeeding of concentrates.

• Journal of the korean veterinary medical association
• /
• v.19 no.4
• /
• pp.63-66
• /
• 1983

• Korean Journal of Veterinary Research
• /
• v.41 no.3
• /
• pp.407-412
• /
• 2001

Milk data may be increasingly used as indicators of the protein-energy balance and actual farm feeding practices. It was related to milk production, nutritional and reproductive disorders. The purpose of this study was to investigate the relationship between level of fat, protein or milk urea nitrogen (MUN) from the first test within 35 days in milk and displaced abomasum (DA) in a large dairy herd with high yielding Holstein cows. Milk data from forty-five DA cases were compared to those from 90 healthy cows. Higher odds of DA diagnosis was found with higher 5.0% milk fat, lower 3.0% milk protein. Therefore, cows with a fat to protein ratio of>1.5 had higher risks for DA. Also, incidence rates of DA was higher in the cows which the level of MUN was lower than 12.0 mg/dl or higher than 25.0 mg/dl relative to healthy cows. These results indicate that cows diagnosed with DA were energy deficient prior to DA diagnosis. We conclude that level of fat, protein or MUN serve as a monitoring tool of protein and energy nutritional balance in early lactation cows and also as a significant predictor of risk for DA.

• Journal of Veterinary Clinics
• /
• v.39 no.5
• /
• pp.199-206
• /
• 2022

Postpartum diseases should be predicted to prevent productivity loss before calving especially in organic dairy farms. This study was aimed to investigate the incidence of postpartum metabolic diseases in an organic dairy farm in Korea, to confirm the association between diseases and prepartum blood biochemical parameters, and to evaluate the accuracy of these parameters with a receiver operating characteristic (ROC) analysis for identifying vulnerable cows. Data were collected from 58 Holstein cows (16 primiparous and 42 multiparous) having calved for 2 years on an organic farm. During a transition period from 4 weeks prepartum to 4 weeks postpartum, blood biochemistry was performed through blood collection every 2 weeks with a physical examination. Thirty-one (53.4%) cows (9 primiparous and 22 multiparous) were diagnosed with at least one postpartum disease. Each incidence was 27.6% for subclinical ketosis, 22.4% for subclinical hypocalcemia, 12.1% for retained placenta, 10.3% for displaced abomasum and 5.2% for clinical ketosis. Between at least one disease and no disease, there were significant differences in the prepartum levels of parameters like body condition score (BCS), non-esterified fatty acid (NEFA), total bilirubin (T-bil), direct bilirubin (D-bil) and NEFA to total cholesterol (T-chol) ratio (p < 0.05). The ROC analysis of each of these prepartum parameters had the area under the curve (AUC) <0.7. However, the ROC analysis with logistic regression including all these parameters revealed a higher AUC (0.769), sensitivity (71.0%), and specificity (77.8%). The ROC analysis with logistic regression including the prepartum BCS, NEFA, T-bil, D-bil, and NEFA to T-chol ratio can be used to identify cows that are vulnerable to postpartum diseases with moderate accuracy.