The Metabolic Profile Test: Its Practicability in Assessing Feeding Management and Periparturient Diseases in High Yielding Commercial Dairy Herds.

Kida, Katsuya

doi:10.1292/jvms.64.557

Cited by 48 publications

(52 citation statements)

References 18 publications

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“…The marked increase in NEFA between day 0 to day 30 seems to be related to the onset of periparturient diseases and a low WCR in Herd B. On the other hand, the incidence of periparturient diseases in Herd C could be related to a low TC concentration during the dry period since a low TC concentration in the dry period was observed in the herds with a high incidence of periparturient diseases [11].…”

Section: Discussionmentioning

confidence: 88%

Evaluation by Weight Change Rate of Dairy Herd Condition

Kohiruimaki

Ohtsuka

Hayashi

et al. 2006

The Journal of Veterinary Medical Science

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ABSTRACT. The purpose of this study was to clarify whether weight change rate (WCR) is useful in evaluating herd health. Five herds (A, B, C, D, and E) were examined monthly for approximately 1 year to measure both WCR and BCS. WCR was calculated using the following equation: WCR (%) = (body weight of current month-body weight of the preceding month)/body weight of current month × 100. In addition, blood profiles were performed in each herd before and after calving. The incidence of periparturient diseases was higher in Herds A, B, and C compared with Herds D and E. Reproductive performance in Herds A and B was rather poor compared with Herds C, D, and E. There were significantly lower WCRs in Herd A compared with Herd C during the period of day -30 to day 30 after calving. According to the blood profiles, high levels of non-essential fatty acids (NEFA) were observed during the period of day -30 to -1 and high β-hidroxybutyricacid (BHB) and low levels of glucose were observed at day 30 after calving in Herd A. A marked poor condition in Herd A during the peripaturient period was clearly expressed by low WCR in this experiment. WCR can express body condition of herds and is suggested to be a useful parameter in the determination of herd performance in field experiments. KEY WORDS: dairy herd management, periparturient diseases, reproductive performance, weight change rate.

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Section: Discussionmentioning

confidence: 88%

Evaluation by Weight Change Rate of Dairy Herd Condition

Kohiruimaki

Ohtsuka

Hayashi

et al. 2006

The Journal of Veterinary Medical Science

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“…Globulin could be considered an indication of inflammation. A sign of high incidence of periparturient diseases is high globulin and glucose levels in early postpartum [17], as well as a lower A/G ratio in the AUC-up group compared with the AUC-down group.…”

Section: Discussionmentioning

confidence: 99%

Slow Recovery of Blood Glucose in the Insulin Tolerance Test during the Prepartum Transition Period Negatively Impacts the Nutritional Status and Reproductive Performance Postpartum of Dairy Cows

Lee

Kida

Miura

et al. 2012

The Journal of Veterinary Medical Science

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AbSTRACT. In peripartum dairy cows, insulin resistance (IR) increases to adjust the direction of energy to lactation after calving. To investigate the effect of prepartum IR on postpartum reproductive performance, the insulin tolerance test (ITT) was applied to 15 cows at 3 weeks (Pre21) and 10 days (Pre10) before the predicted calving date. blood glucose area under the curve (AUC glu ) within 120 min after administration of 0.05 IU/kg-BW insulin was calculated. The occurrence of first ovulation, days to first artificial insemination (AI) and first AI conception rate were recorded. Nutritional status postpartum was evaluated by blood chemical analysis. Based on AUC glu changes from Pre21 to Pre10, cows were classified into either the AUC-up group (AUC glu increase, n=5) or the AUC-down group (AUC glu decrease, n=10). There was no difference in the decrease in blood glucose at 30 min after insulin injection between groups, although glucose recovery from 30 to 60 min during the ITT was slow at Pre10 in the AUC-up group. The AUC-up group had a higher number of days to first AI and high glucose, total protein, globulin, γ-glutamyltransferase, triacylglycerol levels and a low albumin-globulin ratio at the 14th day postpartum. The present study infers that prepartum slow glucose recovery rather than insulin sensitivity might increase the potential for subclinical health problems postpartum and thus suppress reproductive performance. During the prepartum transition period, glucose dynamics in the ITT can be considered as a new indicator for the postpartum metabolic status and reproductive performance of dairy cows.

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“…Results of the MPT were diagnosed on the basis of the individual cow's deviation from the reference mean [23,24].…”

Section: Cow Selectionmentioning

confidence: 99%

“…Statistical analysis: According to the diagnosis by 10-day criteria [23,24], the deviation from the reference value of each MPT component and milk production was calculated as shown below. Deviation = (actual value -reference mean value) / reference standard deviation value…”

Section: Cow Selectionmentioning

confidence: 99%

Relationships of Metabolic Profiles to Milk Production and Feeding in Dairy Cows

Kida¹

2003

J. Vet. Med. Sci.

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ABSTRACT. The aim of this study was to assess the practicality of the metabolic profile test (MPT) for feeding evaluation in dairy cattle.Stepwise regression analysis was used to evaluate the relationships of MPT to feeding and milk production of 4,679 cows in 343 commercial dairy herds. Significant explanatory variables were determined by forward set-up selection, among the deviated values from the reference values of 10 blood metabolites and body condition score, to predict dependent variables, i.e., milk production and the rate of feeding to nutrient requirements, in each or all lactation stages and the dry period. The milk production model of the all-lactation stage showed the greatest goodness-of-fit (adjusted R 2 =0.214, p<0.0001) with high positive regression coefficients for serum cholesterol, magnesium, urea nitrogen and albumin, and negative for glucose and calcium. In the feeding models, goodness-of-fit of crude protein was relatively high (R 2 =0.072, p<0.0001) with a positive relationship to blood urea nitrogen. Although the other feeding models were low in goodness-of-fit, several significant explanatory variables to feeding were found. All feeding models in the late lactation stage and the dry period, in which the feeding was stable, had greater goodness-of-fit than those in the early lactation stage in which milk production varied. It was concluded that the values which deviated from the reference values for the MPT components could assess milk production and feeding, and the MPT is a practical tool for auxiliary feeding evaluation. KEY WORDS: dairy cow, feeding and nutrition, metabolic profile test.

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The Metabolic Profile Test: Its Practicability in Assessing Feeding Management and Periparturient Diseases in High Yielding Commercial Dairy Herds.

Cited by 48 publications

References 18 publications

Evaluation by Weight Change Rate of Dairy Herd Condition

Evaluation by Weight Change Rate of Dairy Herd Condition

Slow Recovery of Blood Glucose in the Insulin Tolerance Test during the Prepartum Transition Period Negatively Impacts the Nutritional Status and Reproductive Performance Postpartum of Dairy Cows

Relationships of Metabolic Profiles to Milk Production and Feeding in Dairy Cows

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