scholarly journals Factors Affecting Milk Flow Traits in Dairy Cows: Results of a Field Study

2007 ◽  
Vol 90 (3) ◽  
pp. 1159-1167 ◽  
Author(s):  
A. Sandrucci ◽  
A. Tamburini ◽  
L. Bava ◽  
M. Zucali
Keyword(s):  
Dairy Cows ◽  
Field Study ◽  
Factors Affecting ◽  
Milk Flow

scholarly journals Milk ejection disorders in Swiss dairy cows: a field study

2009 ◽  
Vol 76 (2) ◽  
pp. 222-228 ◽  
Author(s):  
Claire J Belo ◽  
Sabrina Schlegel ◽  
Jürg Moll ◽  
Erich Möstl ◽  
Rupert M Bruckmaier
Keyword(s):  
Environmental Factors ◽  
Dairy Cows ◽  
Field Study ◽  
Low Dose ◽  
Dairy Farms ◽  
Milk Ejection ◽  
Physiological Level ◽  
Milk Flow ◽  
Total Milk ◽  
Cortisol Metabolites

A questionnaire was sent to 2099 dairy farms to investigate the occurrence of poor milkability. Based on that, the frequency of poor milkability in Swiss dairy cows was 4% and the percentage of cows treated with oxytocin (OT) was 2%. In addition, 270 dairy farms that had reported cases of animals with poor milkability were contacted for an interview to classify the disorders. Farmers suspected disturbed milk ejection in 52%, anatomical dysfunction of the teat and/or the udder in 16% and milk ejection disorder or impaired milkability caused by discernable environmental factors in 32% of the cases. Forty-eight animals from 18 farms with suspected milk ejection disorders were selected for an experimental field study which included milk flow recording and OT administration to induce milk ejection. After cessation of the spontaneous milk flow, a low dose of OT (0·2, 0·5 or 1 i.u.) was injected i.v. to test the responsiveness of the udder to OT at a physiological level. When milk flow ceased again, 10 i.u. OT was injected i.v. (supraphysiological) to ensure complete udder emptying and to determine the residual milk. Milk ejection disorder could be confirmed in 69% of the cases, i.e. if residual milk was >20% of the total milk. Because in 27% of the animals milk ejection disorder was not confirmed on the basis of elevated residual milk, an anatomical disorder of the teat and/or the udder was suspected. Milk ejection disorder could be confirmed in 69% of the cases whereas in 27% of the suspected cases an anatomical disorder of the teat and/or the udder was suspected. An increased cortisol production in cows with milk ejection disorder was not obvious because faecal concentrations of cortisol metabolites with a 5β-androstane-3α,11oxo-structure were not augmented in animals with disturbed milk ejection.

Factors Affecting the Thyroid Uptake of I131 in Dairy Cows

1957 ◽  
Vol 16 (2) ◽  
pp. 318-327 ◽  
Author(s):  
E. W. Swanson ◽  
F. W. Lengemann ◽  
R. A. Monroe
Keyword(s):  
Dairy Cows ◽  
Factors Affecting ◽  
Thyroid Uptake

scholarly journals Vacuum Dynamics as an Alternative Method for Detection of Bimodal Milk Ejection in Dairy Cows

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1860
Author(s):  
Matthias Wieland ◽  
Christina Marie Geary ◽  
Gloria Gioia ◽  
Kerry Lynn Case ◽  
Paolo Moroni ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Predictive Value ◽  
Primary Objective ◽  
Cow Milk ◽  
Kappa Statistics ◽  
Flow Meter ◽  
Flow Curves ◽  
Cross Sectional ◽  
Gold Standard Method ◽  
Milk Flow

The primary objective of our study was to assess the ability of a vacuum recorder to detect the presence of bimodal milk flow curves in dairy cows compared with a portable milk flow meter. In a cross-sectional study, 241 individual cow milking observations were analyzed. We simultaneously collected (1) individual cow vacuum events during milking using portable vacuum recorders, and (2) individual cow milk flow curves by attaching a portable milk flow meter to the same milking unit. Presence of bimodality was assessed with the vacuum recorder visually (BIMVA) and with the gold standard method of a milk flow meter through automatic detection (BIMLA). Kappa statistics revealed moderate agreement between BIMVA and BIMLA [κ, 95% confidence intervals (95% CI) = 0.59 (0.46–0.71)]. Diagnostic test statistics for BIMVA for detection of bimodality indicated moderate performance for sensitivity [0.65 (0.52–0.76)] and positive predictive value [0.71 (0.58–0.82)] and high values for specificity [0.92 (0.87–0.95)] and negative predictive value [0.93 (0.84–0.93)]. We conclude that milking vacuum dynamics are a suitable measure to assess bimodal milk flow curves in dairy cows.

Factors affecting the size of ovulatory follicles and conception rate in high-yielding dairy cows

2016 ◽  
Vol 85 (4) ◽  
pp. 747-753 ◽  
Author(s):  
A. Mokhtari ◽  
M. Kafi ◽  
M.J. Zamiri ◽  
R. Akbari
Keyword(s):  
Dairy Cows ◽  
Conception Rate ◽  
Factors Affecting ◽  
Ovulatory Follicles

scholarly journals Can Milk Flow Traits Act as Biomarkers of Lameness in Dairy Cows?

Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 227
Author(s):  
Vida Juozaitienė ◽  
Ramūnas Antanaitis ◽  
Gediminas Urbonavičius ◽  
Mingaudas Urbutis ◽  
Saulius Tušas ◽  
...  
Keyword(s):  
Dairy Cows ◽  
San Francisco ◽  
Standard Procedure ◽  
Cortisol Concentration ◽  
Initial Time ◽  
Plateau Phase ◽  
Flow Data ◽  
Flow Meters ◽  
Blood Samples ◽  
Milk Flow

We hypothesized that lameness has an impact on milk flow traits. The aim of the current study was therefore to investigate the relation between lameness and milk flow traits in dairy cows. For this study 73 healthy and 55 cows with lameness were selected. Lameness was diagnosed by a local specialized veterinarian, according to the standard procedure. The blood samples were collected during clinical examination. The milking properties of cows were evaluated twice in a row—during evening and morning milking. The selected cows in the current lactation did not receive veterinary treatment, and correct hoof trimming was not performed at least four weeks before the experiment. The measurements were taken by two electronic mobile milk flow meters (Lactocorder®®, WMB AG, Balgache, Switzerland). Milk flow data were processed using LactoPro 5.2.0 software (Biomelktechnik Swiss). Cortisol concentration was measured with the automated analyzer TOSOH®® AIA-360 (South San Francisco, CA, USA). We found out that milk flow traits can act as biomarkers of lameness in dairy cows. We determined that the milk yield in the first minute of healthy dairy cows was 1.77 kg higher than that of lame cows. The electrical conductivity during the initial time of milking of healthy cows was 0.24 mS/cm lower than that of the lame group. The milking duration of LA cows was 1.07 min shorter and the time of incline in milk flow from 0.5 kg/min till the reach of the plateau phase was longer. The risk of lameness was most clearly indicated by an increase in blood cortisol concentration; if its blood level in cows exceeds 1 µg/dL, the risk of identifying lameness increases 4.9 times.

scholarly journals Milkability evaluation of Holstein dairy cows by Lactocorder

2011 ◽  
Vol 28 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Peter Strapák ◽  
Peter Antalík ◽  
Iveta Szencziová
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Flow Rate ◽  
Flow Characteristics ◽  
Detailed Comparison ◽  
Milk Flow ◽  
Lactation Stage ◽  
Total Milk ◽  
Positive Correlations ◽  
Holstein Dairy Cows

Milkability evaluation of Holstein dairy cows by LactocorderThe aim of this work was to evaluate chosen milk flow characteristics of Holstein dairy cows, using mobile electronic milk flow meters - Lactocorders. A total of 181 Holstein dairy cows were evaluated and divided according to parity, lactation stage and bimodality in order to carry out a detailed comparison of measured milkability traits. The average total milk yield was 11.98±3.41 kg per milking with an average milk flow rate of 2.52±0.75 kg min-1 and a maximum milk flow rate of 3.94±1.30 kg min-1. The total milk yield showed positive correlations with the average milk flow rate (r = 0.48; P<0.001) and also with the maximum milk flow rate (r = 0.32; P<0.001). More than 47% of milk flow curves were classified as bimodal. Bimodality was positively correlated with the duration of the incline phase (r = 0.73; P<0.001) and negatively correlated with the quantity of milk obtained during the first minute of milking (r = -0.34; P<0.001). In relation to the lactation stage - the highest average milk flow rate was reached by Holstein dairy cows at the beginning of the lactation (up to 100 days in milk), and in relation to parity - the highest milk flow rates were measured in second-lactation dairy cows.

Factors affecting pregnancy loss from gestation Day 38 to 90 in lactating dairy cows from a single herd

2002 ◽  
Vol 57 (4) ◽  
pp. 1251-1261 ◽  
Author(s):  
F López-Gatius ◽  
P Santolaria ◽  
J Yániz ◽  
J Rutllant ◽  
M López-Béjar
Keyword(s):  
Dairy Cows ◽  
Pregnancy Loss ◽  
Factors Affecting ◽  
Lactating Dairy Cows

scholarly journals The Analysis of Reproduction in Population of the Slovak Spotted Dairy Cows

2019 ◽  
Vol 67 (6) ◽  
pp. 1419-1426
Author(s):  
Jozef Bujko ◽  
Juraj Candrák ◽  
Peter Strapák ◽  
Július Žitný ◽  
Cyril Hrnčár ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Fixed Effects ◽  
Linear Models ◽  
Correlation Coefficients ◽  
Calving Interval ◽  
Factors Affecting ◽  
Actual Computation ◽  
Reproduction Traits ◽  
Days Open ◽  
Basic Statistical Analysis

The aim of study was to analyse the reproduction and factors affecting on reproduction traits of dairy cows in population of Slovak Spotted cattle from 2007 to 2016 the results for 37,274 dairy cows: days to first service (DFS), days open (DO), number of inseminations per conception (NIC), age of first calving (AFC) and calving interval (CI). The basic statistical analysis were analysed using the SAS version 9.3. For the actual computation a linear models with fixed effects was used: For the actual computation a linear models with fixed effects was used: yijklm = μ + HYSi + BTj+ Fk+ Bl +eijklm. The linear model represents coefficients determination R2 = 0.452117% (P < 0.001) for DFS, R2 = 0.377715% (P < 0.001) for DO, R2 = 0.348442% (P < 0.001) for NIC and R2 = 0.317128% (P < 0.001) for CI with all fixed effects. Correlation coefficients among DFS with DO, NIC, AFC and CI were r = 0.37275, r = -0.06881, r = 0.06493 and r = 0.08348. These coefficients were highly statistically significant (P < 0.001).

Factors affecting the rate of milk flow in pipeline milking machines

1965 ◽  
Vol 5 (17) ◽  
pp. 115
Author(s):  
DJ Clarke ◽  
AK Lascelles
Keyword(s):  
Large Diameter ◽  
Factorial Experiment ◽  
Factors Affecting ◽  
Milk Flow

A factorial experiment has been carried out to determine the effects of varying the level of vacuum, air admission, and reserve air on milking rate and the amount of strippings, in high pipeline, low pipeline, and large diameter low pipeline milking machines. The low pipeline and the large diameter low pipeline machines were found to milk 10.1 and 12.1 per cent faster, respectively, than the high pipeline machine. The large diameter low pipeline operating without air admission was 6.3-7.5 per cent faster than the low pipeline machine operating with and without air admission. Milking rate was 16.1 per cent faster at 15 than at 12 inches Hg vacuum and about 6 per cent faster at 17 and 5 cubic feet per minute (c.f.m.) reserve air than at no reserve air. The admission of air at the claw piece resulted in 9 per cent faster milking with the high pipeline and 9.5 per cent slower milking with the large diameter low pipeline machine. There was no difference in milking rate in the low pipeline machine with or without air admission. The fastest milking rate was observed with the large diameter low pipeline without air admission. However, this system probably has no real advantage over the low pipeline providing the diameter of milk pipe of the latter is sufficient to cope with high rates of milk flow.

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