Abstract:Escherichia coli mastitis was first reproduced in 1903 by sticking the organism to teat orifices. E coli is very common in the environment of housed dairy cows and mastitis can easily be reproduced experimentally by the introduction of as few as 20 organisms into the teat cistern via the teat duct. It is generally accepted that this is the route of natural infection but the processes by which the organisms traverse the teat duct remain unclear. The literature is reviewed and the facts and hypotheses are consid… Show more
“…The following models (1 to 4) were used: (1) A general linear model (general factorial) was used with the production level and feeding regimen (including interactions) as fixed factors. The dependent variables in this model were respectively prepartum blood metabolite concentrations (glucose, NEFA, BHB, urea), 10 log TAG, 10 log peak cfu, 10 log AUC, 10 log BCT or RMP. Pre-partum blood metabolite concentrations were calculated as the mean of the concentrations in the samples taken in the 14 days pre-partum.…”
Section: Discussionmentioning
confidence: 99%
“…Pre-partum blood metabolite concentrations were calculated as the mean of the concentrations in the samples taken in the 14 days pre-partum. Possible influences of milk production level on the severity of E. coli mastitis ( 10 log peak cfu, 10 log AUC, 10 log BCT or RMP) were also analyzed by inclusion of the animals' previous lactation FPCM or mean milk production in the pre-infusion week as a covariate. (2) A general linear model for repeated measures was used with the production level and feeding regimen (including interactions) as between-subject factors.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, selection for higher milk production has also Abbreviations: AUC = area under the curve for bacterial counts in milk in time, BCT = bacterial clearance time (< 1 cfu/mL), RMP = residual milk production (% of pre-infusion baseline in the three noninfused quarters); HP = high producing, LP = low producing, -c = fed according to requirements during the dry period, -o = overfed during the dry period. been a selection on a faster milk flow [11], which, together with increased mechanical pressure due to large volumes of milk, may cause increased leaking of milk in high producing cows [10]. The latter is associated with an increased risk of clinical mastitis [21].…”
Section: Discussionmentioning
confidence: 99%
“…Correlation coefficients were low and not significant. No significant effects were seen when all pre-infusion metabolic parameters (EB, 10 log TAG, glucose, NEFA, BHB and urea) were included as covariates in the general linear model. When BHB concentrations were categorized (cut-off 1.4 mmol/L; [13]), the severity of experimental E. coli mastitis was significantly affected by BHB concentrations, with higher 10 log AUC in cows within the higher category of BHB (P = 0.041; R 2 = 0.12).…”
Section: Associations With Metabolic Statusmentioning
confidence: 91%
“…Partial correlation coefficients between 10 log AUC and parameters of pre-infusion metabolic status are summarized in Table III. Correlation coefficients were low and not significant.…”
Section: Associations With Metabolic Statusmentioning
-This study investigated the possible effects of milk production level on the host resistance of dairy cows. High (n = 18) and low (n = 18) producing cows on a research farm, which respectively produced 11 443 and 7 727 kg milk in their previous lactation, were compared. To enhance the possible differences in host resistance between high and low producing cows, the animals in both groups were metabolically stressed by overfeeding during the dry period or were fed according to requirements, resulting in four groups of nine cows. The metabolic status was monitored from two weeks pre-partum until 2.5-4.5 weeks post-partum. Host resistance was assessed by measuring the severity of experimentally induced Escherichia coli mastitis. Pre-partum blood glucose levels tended to be higher in overfed cows than in cows fed according to requirements. The post-partum energy balance was significantly more negative in high producing cows than in low producers, and tended to be more negative in overfed cows compared to cows fed according to the requirements. Post-partum plasma glucose, NEFA, β-OH-butyrate and urea concentrations were similar in the four groups. Plasma glucose concentrations were significantly lower and liver triacylglycerol concentrations were significantly higher in third than in second parity cows. Host resistance was not affected by the production level or feeding regimen. There were no significant correlations between the metabolic status and the severity of experimental E. coli mastitis, except for the relatively more severe mastitis in the cows with β-OH-butyrate concentrations above 1.4 mmol/L. In conclusion, milk production level did not affect host resistance in dairy cows, as measured by the severity of experimental E. coli mastitis. Even in a situation where cows were metabolically stressed by overfeeding, high producers were as able as low producers to cope with the demands of milk production, without consequences for host resistance. dairy cow / milk production / host resistance / metabolism / E. coli mastitis * Corresponding author: j.e.kornalijnslijper@vet.uu.nl 722 E. Kornalijnslijper et al.
“…The following models (1 to 4) were used: (1) A general linear model (general factorial) was used with the production level and feeding regimen (including interactions) as fixed factors. The dependent variables in this model were respectively prepartum blood metabolite concentrations (glucose, NEFA, BHB, urea), 10 log TAG, 10 log peak cfu, 10 log AUC, 10 log BCT or RMP. Pre-partum blood metabolite concentrations were calculated as the mean of the concentrations in the samples taken in the 14 days pre-partum.…”
Section: Discussionmentioning
confidence: 99%
“…Pre-partum blood metabolite concentrations were calculated as the mean of the concentrations in the samples taken in the 14 days pre-partum. Possible influences of milk production level on the severity of E. coli mastitis ( 10 log peak cfu, 10 log AUC, 10 log BCT or RMP) were also analyzed by inclusion of the animals' previous lactation FPCM or mean milk production in the pre-infusion week as a covariate. (2) A general linear model for repeated measures was used with the production level and feeding regimen (including interactions) as between-subject factors.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, selection for higher milk production has also Abbreviations: AUC = area under the curve for bacterial counts in milk in time, BCT = bacterial clearance time (< 1 cfu/mL), RMP = residual milk production (% of pre-infusion baseline in the three noninfused quarters); HP = high producing, LP = low producing, -c = fed according to requirements during the dry period, -o = overfed during the dry period. been a selection on a faster milk flow [11], which, together with increased mechanical pressure due to large volumes of milk, may cause increased leaking of milk in high producing cows [10]. The latter is associated with an increased risk of clinical mastitis [21].…”
Section: Discussionmentioning
confidence: 99%
“…Correlation coefficients were low and not significant. No significant effects were seen when all pre-infusion metabolic parameters (EB, 10 log TAG, glucose, NEFA, BHB and urea) were included as covariates in the general linear model. When BHB concentrations were categorized (cut-off 1.4 mmol/L; [13]), the severity of experimental E. coli mastitis was significantly affected by BHB concentrations, with higher 10 log AUC in cows within the higher category of BHB (P = 0.041; R 2 = 0.12).…”
Section: Associations With Metabolic Statusmentioning
confidence: 91%
“…Partial correlation coefficients between 10 log AUC and parameters of pre-infusion metabolic status are summarized in Table III. Correlation coefficients were low and not significant.…”
Section: Associations With Metabolic Statusmentioning
-This study investigated the possible effects of milk production level on the host resistance of dairy cows. High (n = 18) and low (n = 18) producing cows on a research farm, which respectively produced 11 443 and 7 727 kg milk in their previous lactation, were compared. To enhance the possible differences in host resistance between high and low producing cows, the animals in both groups were metabolically stressed by overfeeding during the dry period or were fed according to requirements, resulting in four groups of nine cows. The metabolic status was monitored from two weeks pre-partum until 2.5-4.5 weeks post-partum. Host resistance was assessed by measuring the severity of experimentally induced Escherichia coli mastitis. Pre-partum blood glucose levels tended to be higher in overfed cows than in cows fed according to requirements. The post-partum energy balance was significantly more negative in high producing cows than in low producers, and tended to be more negative in overfed cows compared to cows fed according to the requirements. Post-partum plasma glucose, NEFA, β-OH-butyrate and urea concentrations were similar in the four groups. Plasma glucose concentrations were significantly lower and liver triacylglycerol concentrations were significantly higher in third than in second parity cows. Host resistance was not affected by the production level or feeding regimen. There were no significant correlations between the metabolic status and the severity of experimental E. coli mastitis, except for the relatively more severe mastitis in the cows with β-OH-butyrate concentrations above 1.4 mmol/L. In conclusion, milk production level did not affect host resistance in dairy cows, as measured by the severity of experimental E. coli mastitis. Even in a situation where cows were metabolically stressed by overfeeding, high producers were as able as low producers to cope with the demands of milk production, without consequences for host resistance. dairy cow / milk production / host resistance / metabolism / E. coli mastitis * Corresponding author: j.e.kornalijnslijper@vet.uu.nl 722 E. Kornalijnslijper et al.
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