Physical characteristics of the bovine teat canal and their influence on susceptibility to streptococcal infection

1995 ◽  
Vol 62 (3) ◽  
pp. 395-404 ◽  
Author(s):  
S. Jane Lacy-Hulbert ◽  
J. Eric Hillerton
Keyword(s):  
Regression Analysis ◽  
Somatic Cell Count ◽  
Peak Flow ◽  
Streptococcal Infection ◽  
Physical Characteristics ◽  
Peak Flow Rate ◽  
Intramammary Infection ◽  
Wet Weight ◽  
Pass Through ◽  
Teat Canal

SummaryPhysical characteristics of the bovine teat canal were examined for their influence on susceptibility to intramammary infection. All quarters of 18 cows were inoculated with 2 × 105 cfu Streptococcus agalactiae (Trial 1) and 20 cows with 105 cfu Str. Uberis (Trial 2) 3–4 mm into the teat canal every 3 d for 12 d. Incidence of quarter infection was similar for both pathogens, 30/72 (42%) in Trial 1 and 32/80 (40%) in Trial 2. Logistic regression analysis showed that probability of infection by Str. Agalactiae increased significantly with an increase in quarter peak flow rate (P < 0·05) whereas probability of infection increased for Str. Uberis with a decrease in teat canal length (P < 0·05). A significantly higher (P < 0·001) incidence of infection by Str. Uberis was observed in quarters that contained a low wet weight (< 1·8 mg) of removable keratin compared with those that contained > 1·8 mg keratin, but there was no correlation between weight of keratin and length of the teat canal. Infections by Str. Uberis took significantly less (P < 0·05) time to show a rise in somatic cell count above 7·5 × 105 cells/ml than Str. agalactiae. The results provide evidence that these pathogens use different mechanisms to pass through the teat canal.

scholarly journals Effect of ewes entry order into milking parlour on milkability and milk composition

2017 ◽  
Vol 62 (No. 9) ◽  
pp. 392-402 ◽  
Author(s):  
L. Mačuhová ◽  
V. Tančin ◽  
J. Mačuhová ◽  
M. Uhrinčať ◽  
L. Hasoňová ◽  
...  
Keyword(s):  
Milk Yield ◽  
Somatic Cell Count ◽  
Peak Flow ◽  
Milk Composition ◽  
Latency Time ◽  
Peak Flow Rate ◽  
Order Of Entry ◽  
Milk Samples ◽  
Total Milk ◽  
The Individual

The aim of the present investigation was to evaluate how the order in which the ewes in a milking group enter the milking parlour affects their milkability and milk composition. Therefore, the order of entry into the milking parlour was evaluated in ewes of one flock (n = 353) during six evening milkings. In all, the sheep were milked in 15 milking groups. The sheep entering the milking parlour in the first milking group achieved 15 points and the sheep of each next milking group one point less, i.e. the sheep of the last group achieved 1 point. In the analysis, only the ewes with the highest and the lowest average number of points were included and assigned to the first (FG, n = 19) and the last group (LG, n = 29), respectively. After the last milking, the individual milk samples were collected from the jar to analyze the composition and somatic cell count. Machine milk yield in 30 s (0.15 ± 0.09 and 0.11 ± 0.05 l) and 60 s (0.26 ± 0.16 and 0.19 ± 0.10 l), peak flow rate (1.04 ± 0.39 and 0.77 ± 0.29 l/min), and latency time (14 ± 3 and 20 ± 13 s) significantly differed (P &lt; 0.05) between FG and LG, respectively. Total milk yield (0.41 ± 0.17 and 0.35 ± 0.14 l) and machine milk yield (0.27 ± 0.15 and 0.22 ± 0.10 l) tended to be higher (P = 0.05 and P = 0.09) in FG than in LG, respectively. No significant differences were observed in milk composition between FG and LG. It seems that ewes which enter the milking parlour in early milking groups have better parameters of milkability than those milked in later groups.

Influence of milk flow rate and streak canal length on new intramammary infection in dairy cows

1991 ◽  
Vol 58 (4) ◽  
pp. 383-388 ◽  
Author(s):  
Robert J. Grindal ◽  
Andrew W. Walton ◽  
J. Eric Hillerton
Keyword(s):  
Flow Rate ◽  
Peak Flow ◽  
Peak Flow Rate ◽  
Secondary Importance ◽  
Flow Rates ◽  
Intramammary Infection ◽  
Susceptibility To Infection ◽  
Milk Flow ◽  
Wide Range ◽  
Mastitis Control

SummaryEighteen cows with a wide range of quarter peak flow rates (0·35–2·22 kg/min) were inoculated with Streptococcus agalactiae and Str. dysgalactiae 4 mm into each streak canal every 3 d for 12 d. Thirty of the 72 quarters developed intramammary infection. Mean peak flow rate and length of streak canal of those quarters that became infected were 1·26 ± 0·08 kg/min (mean ± SEM) and 11·47 ± 0·41 mm respectively, compared with 1·01 ± 0·05 kg/min and 12·05 ± 0·35 mm for those that remained uninfected. Logistic regression analysis showed that the probability of infection increased significantly with the increase in peak flow rate (P = O·O1). The influence of streak canal length on new infection, after allowing for the effect of peak flow rate, was not significant at the 5% level (P = 0·07), suggesting that there may be an inverse relationship between teat duct length and infection, but that it is of secondary importance to peak flow rate. If increased mass of milk distends the teat duct by raising intramammary pressure, then quarter susceptibility to infection is further compromised. These results strongly suggest that the benefits of reduced infection from mastitis control, achieved despite dramatic increases in milk flow rate and milk yield, are significantly underestimated.

The passage of staphylococci through the bovine teat canal

1968 ◽  
Vol 35 (3) ◽  
pp. 399-406 ◽  
Author(s):  
D. Forbes
Keyword(s):  
Staphylococcus Aureus ◽  
The Other ◽  
Intramammary Infection ◽  
Milk Samples ◽  
The Third ◽  
Colony Forming Unit ◽  
Before And After ◽  
Efficient Machine ◽  
Pass Through ◽  
Teat Canal

SummaryIn order to determine how bacteria pass through the teat canal into the teat sinus, milk samples were taken by syringe, through the teat wall, from 12 quarters of 7 cows, before and after each milking for up to 16 days. Three of the teat canals were naturally infected before the start of the experiment and the remainder were artificially infected with Staphylococcus aureus by the Hadley–Wisconsin swab technique. In 3 of the quarters the inoculum was introduced into the teat sinus through the teat canal by the inoculation technique although the swabs were inserted only 3–5 mm into the canal. The other 9 of the 12 quarters were milked a total of 149 times during the experiment but only once was a colony-forming unit of the bacterium present in a teat canal infection isolated from the milk taken from the teat sinus after milking. One quarter developed an intramammary infection, the bacterium first being detected in the teat sinus prior to the third milking after inoculation of the teat canal. The invasion of the bacteria into the teat sinus therefore occurred between milkings. Staph. aureus persisted in teat canals between 5 and 32 or more milkings after inoculation. The experiment showed that bacteria in the teat canal are seldom refluxed into the residual milk in the teat sinus during correctly conducted milking with an efficient machine.

scholarly journals Connection of milk flow curve to the somatic cell count in bovine milk

2004 ◽  
Vol 47 (6) ◽  
pp. 551-556 ◽  
Author(s):  
P. Mijić ◽  
I. Knežević ◽  
M. Domaćinović
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Flow Rate ◽  
Flow Curve ◽  
Somatic Cell Count ◽  
Peak Flow ◽  
Bovine Milk ◽  
Correlation Coefficients ◽  
Peak Flow Rate ◽  
Milk Flow

Abstract. The modern equipment introduction into cow milking created technical possibilities for studying the milk flow curve and for using the results in cattle selection. In preventing mastitis, besides curing, other parameters of the milk flow curve could be used preventively. Research showed that cows that had the milk flow curve with a short duration of increasing flow rate (dIFR ≤ 0.40 min) and a larger quotient between the peak and down phase (QPD > 1.20) had also the least somatic cell count in milk (LSCC = 3.47, and 3.30 respectively). Such relation is favourable because increasing the relation, the duration of quick and uniform milking extends, and the duration of peak flow rate shortens. That also show correlation coefficients which were between the logarithmic somatic cell count in milk (LSCC) on one hand and the peak flow rate (dPFR), that means the quotient of peak and down phase (QPD) on the other hand negative (r= −0.25** and –0.27**). Breeding-selective procedures could create bull fathers and mothers with the most desirable milk flow curve and the duration of certain milking phases, whereby the somatic cell count in milk would be the least. Therefore it would be necessary to define desirable proportions of the milk flow curve with a special attention to the cow’s health udder.

The bovine teat canal: information from measurement of velocity of milk flow from the teat

1986 ◽  
Vol 53 (2) ◽  
pp. 179-185 ◽  
Author(s):  
David M. Williams ◽  
Graeme A. Mein
Keyword(s):  
Mass Flow Rate ◽  
Flow Rate ◽  
Shear Force ◽  
Peak Flow ◽  
Effective Diameter ◽  
Peak Flow Rate ◽  
Milk Flow ◽  
Rate Period ◽  
Flow Through ◽  
Teat Canal

SUMMARYThe velocity of milk flow from the teat during the peak flow rate period of milking was estimated to be ∼ 8·5 m/s with a liner vacuum of 50 kPa and 7·5 m/s at 40 kPa. These results confirm the applicability of the Bernoulli theorem for estimating velocity of milk flow through the teat canal during milking. Concurrent measurements of mass flow rate and velocity indicate that the effective diameter of the open teat canal is ∼ 2 mm. Further calculations indicate that the shear force due to milk flow acting to debride the surface of the open teat canal is about 1·8 × 10-2 N. The opposing surfaces of the ‘closed’ teat canal may be ∼ 100 µm apart immediately after milking. If so, bacteria present in the milk residue within the teat canal would never be more than 50 µm from a surface.

scholarly journals Correlation of intravesical prostatic protrusion with severity of lower urinary symptoms among patients with benign prostatic hyperplasia

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Babatunde K. Hamza ◽  
Muhammed Ahmed ◽  
Ahmad Bello ◽  
Musliu Adetola Tolani ◽  
Mudi Awaisu ◽  
...  
Keyword(s):  
Flow Rate ◽  
Bladder Outlet Obstruction ◽  
Peak Flow ◽  
Prostate Volume ◽  
Outlet Obstruction ◽  
Peak Flow Rate ◽  
The Mean ◽  
Benign Prostate ◽  
Intravesical Prostatic Protrusion ◽  
Lower Urinary

Abstract Background Benign prostate hyperplasia (BPH) is characterized by an increase in the number of epithelial and stromal cells in the periurethral area of the prostate. Lower urinary tract symptoms (LUTS) often develop as a manifestation of bladder outlet obstruction (BOO) due to benign prostate enlargement. When the prostate enlarges, protrusion into the bladder often occurs as a result of morphological changes of the gland. Prostatic protrusion into the bladder can be measured with ultrasound as intravesical prostatic protrusion (IPP). There are studies that have shown IPP as a reliable predictor of bladder obstruction index (BOOI) as measured by pressure flow studies. IPP is thereby reliable in assessing the severity of BOO in patients with BPH. The severity of symptoms in patients with BPH can be assessed through several scoring systems. The most widely used symptoms scoring system is the International Prostate Symptoms Score (IPSS). The aim of this study is to determine the correlation of IPP with IPSS in men with BPH at our facility. Methods The study was a cross-sectional observational study that was conducted at the Division of Urology, Department of Surgery, in our facility. The study was conducted on patients greater than 50 years LUTS and an enlarged prostate on digital rectal examination and/or ultrasound. All consenting patients were assessed with the International Prostate Symptoms Score (IPSS) questionnaire, following which an abdominal ultrasound was done to measure the intravesical prostatic protrusion (IPP), prostate volume (PV) and post-void residual (PVR) urine. All the patients had uroflowmetry, and the peak flow rate was determined. The data obtained were entered into a proforma. The results were analyzed using Statistical Package for Social Sciences (SPSS) software package version 20. Results A total of 167 patients were seen during the study period. The mean age was 63.7 ± 8.9 years, with a range of 45–90 years. The mean IPSS was 18.24 ± 6.93, with a range of 5–35. There were severe symptoms in 49.1%, while 43.1% had moderate symptoms and 7.8% had mild symptoms. The overall mean IPP was 10.3 ± 8 mm. Sixty-two patients (37.1%) had grade I IPP, 21 patients (12.6%) had grade II IPP and 84 patients (50.3%) had grade III IPP. The mean prostate volume and peak flow rate were 64 g ± 34.7 and 11.6 ml/s ± 5.4, respectively. The median PVR was 45 ml with a range of 0–400 ml. There was a significant positive correlation between the IPP and IPSS (P = 0.001). IPP also had a significant positive correlation with prostate volume and post-void residual and a significant negative correlation with the peak flow rate (P < 0.01). Conclusion Intravesical prostatic protrusion is a reliable predictor of severity of LUTS as measured by IPSS, and it also shows good correlation with other surrogates of bladder outlet obstruction.

Decreasing peak flow rate with a new bag-valve-mask device: effects on respiratory mechanics, and gas distribution in a bench model of an unprotected airway

Resuscitation ◽  
2003 ◽  
Vol 57 (2) ◽  
pp. 193-199 ◽  
Author(s):  
Horst G. Wagner-Berger ◽  
Volker Wenzel ◽  
Angelika Stallinger ◽  
Wolfgang G. Voelckel ◽  
Klaus Rheinberger ◽  
...  
Keyword(s):  
Flow Rate ◽  
Respiratory Mechanics ◽  
Peak Flow ◽  
Peak Flow Rate ◽  
Gas Distribution ◽  
Unprotected Airway ◽  
Bench Model

scholarly journals Reliability of Nitrogen Content (%N) and Carbon:Nitrogen Atomic Ratios (C:N) as Indicators of Collagen Preservation Suitable for Radiocarbon Dating

Radiocarbon ◽  
2012 ◽  
Vol 54 (3-4) ◽  
pp. 879-886 ◽  
Author(s):  
Fiona Brock ◽  
Rachel Wood ◽  
Thomas F G Higham ◽  
Peter Ditchfield ◽  
Alex Bayliss ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Radiocarbon Dating ◽  
Linear Regression Analysis ◽  
Atomic Weight ◽  
Animal Bones ◽  
Bone Powder ◽  
Wide Range ◽  
Pass Through ◽  
Percent Nitrogen

A recent study into prescreening techniques to identify bones suitable for radiocarbon dating from sites known for poor or variable preservation (Brock et al. 2007, 2010a) found that the percent nitrogen (%N) content of whole bone powder was the most reliable indicator of collagen preservation. Measurement of %N is rapid, requires little preparation or material, and is relatively cheap. The technique reduces the risk of needlessly sampling valuable archaeological objects, as well as saving time and money on their unsuccessful pretreatment prior to dating. This method of prescreening is now regularly used at the Oxford Radiocarbon Accelerator Unit (ORAU). In the original study, linear regression analysis of data from 100 bones from 12 Holocene sites across southern England showed that when 0.76% N was chosen as a threshold, 84% of bones were successfully identified as containing sufficient (i.e. >1%) or insufficient (i.e. <1%) collagen for dating. However, it has been observed that for older, Pleistocene bones the failure rate may be higher, possibly due to the presence of more degraded, short-chain proteins that pass through the ultrafilters used in pretreatment, resulting in lower yields. Here, we present linear regression analysis of data from nearly 600 human and animal bones, antlers, and teeth, from a wide range of contexts and ages, to determine whether the 0.76% threshold identified in the previous study is still applicable. The potential of carbon:nitrogen atomic weight ratios (C:N) of whole bone to predict collagen preservation is also discussed.

scholarly journals Development of an empirical formula for estimation of bioretention outflow rate

Water SA ◽  
2019 ◽  
Vol 45 (2 April) ◽  
Author(s):  
Sezar Gulbaz ◽  
Cevza Melek Kazezyılmaz-Alhan ◽  
Rasim Temür
Keyword(s):  
Empirical Formula ◽  
Peak Flow ◽  
Groundwater Resources ◽  
Low Impact Development ◽  
Initial Moisture Content ◽  
Peak Flow Rate ◽  
Impervious Area ◽  
Outflow Rate ◽  
Cent Error ◽  
Peak Value

Urbanization of a watershed affects both surface water and groundwater resources. When impervious area increases, the excess runoff and volume of water collected at the downstream end of the watershed also increases, due to the decrease in groundwater recharge, depression storage, infiltration and evapotranspiration. Low-impact development (LID) methods have been developed in order to diminish adverse effects of excess stormwater runoff. Bioretention is one of the LID types which is used to prevent flooding by decreasing runoff volume and peak flow rate, and to manage storm-water by improving water quality. In this study, an empirical formula is derived to predict the peak outflow out of a bioretention column as a function of the ponding depth on bioretention, hydraulic conductivity, porosity, suction head, initial moisture content and height of the soil mixture used in the bioretention column. Coefficients of the empirical formula are determined by using metaheuristic algorithms. For analyses, the experimental data obtained from rainfall-watershed-bioretention (RWB) system are used. The reliability of the empirical formula is evaluated by calculating the absolute per cent error between the peak value ofthe measured outflow and the calculated outflow of the bioretention columns. The results show that the performance of the empirical formula is satisfactory.

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