scholarly journals Milkability Evaluation of Jersey Dairy Cows by Lactocorder

2020 ◽  
Vol 43 (1) ◽  
pp. 5-12 ◽  
Author(s):  
Tina Bobić ◽  
Pero Mijić ◽  
Vesna Gantner ◽  
Gjoko Bunevski ◽  
Maja Gregić

AbstractSince there is not enough data about milkability of the Jersey cows, the aim of this paper is to show basic milkability traits of this cattle breed depending on the parity and milk flow curve types. Cows had average daily production (DMY) of 22.23 kg, milk yield per milking (MYM) of 9.72 kg, and average and maximum milk flow about 1.66 and 2.49 kg/min, respectively. Statistical analysis showed that DMY and MYM of the cows in 4th parity was significantly (p<0.05) higher comparing to cows in 1st and 3th parity. The duration of entirely milking is similar regarding the paritiesand only the cows in 3th and 4th differ significantly (p<0.05). Regarding the effect of milk flow curve, the significant (p<0.05) difference between unspecified and rectangular milk flow curve has been found for the average milk flow (AMF) and descending phase of the milk flow curve (TD). Cows with unspecified milk flow curve, have significantly (p<0.05) lower AMF and longer TD compared to cows with rectangular curve. Cows with bimodal milk flow curve have significantly (p<0.05) longer duration of the ascending phase compering to: unspecified, descending and rectangular. The results of this study have shown that Jersey cows have lower production and milk flow compared to other dairy cattle breeds. Nonetheless, they have uniform milkability traits, and a large representation of desirable milk flow curves which are associated with a beneficial effect on the udder health.

Author(s):  
Vida Juozaitienë ◽  
Lina Juozaitienë ◽  
Eglë Èereðkienë ◽  
Renata Japertienë ◽  
Judita Þymantienë ◽  
...  

The objective of this work was to evaluate the association of bimodality of milk flow curves with microbiological status of mammary glands and parity of cows. We selected 167 primiparous and 148 multiparous Lithuanian Black and White dairy cows in 2nd to 4th month of lactation. The bimodality of milk flow was determined in 22.2% primiparous and in 38.6% multiparous cows (P less than 0.001). The most prevalent pathogens of mastitis were Staphylococcus aureus (15.3%), other staphylococci (22.2%) and streptococci (5.8%). Prevalence of mastitis pathogens in multiparous cows was 1.4 times and the bimodality of milk flow curves –1.7 times higher in comparison with primiparous cows (P less than 0.001). The bimodality of milk flow curve was mostly associated with the prevalence of Streptococcus agalactiae and Staphylococcus aureus (P less than 0.001). The increased frequency of mastitis pathogens (21.5%) in cows with the bimodal milk flow curves supports the negative effect of bimodality on udder health of cows (P less than 0.001).


Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1860
Author(s):  
Matthias Wieland ◽  
Christina Marie Geary ◽  
Gloria Gioia ◽  
Kerry Lynn Case ◽  
Paolo Moroni ◽  
...  

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.


2012 ◽  
Vol 57 (No. 5) ◽  
pp. 240-247 ◽  
Author(s):  
L. Mačuhová ◽  
V. Tančin ◽  
M. Uhrinčať ◽  
J. Mačuhová

The objective of this investigation was to evaluate the stability of milk flow curves and the volume of residual milk in relation to milk flow curves in breeds Tsigai, Improved Valachian, and Lacaune (n&nbsp;= 16 heads per breed) milked twice daily. Milk flow type stability was evaluated at morning milking (stabile milkings) during three successive days in the middle of two months (June, July). After the following fourth morning milking (OT milkings) in both months, oxytocin was injected intravenously at a dose of 2&nbsp;UI. Afterwards the ewes were milked again in order to remove residual milk. The milk flow curves were classified into four types: 1 peak (1P), 2 peaks (2P), plateau I (maximal milk flow over 0.4 l/min) (PLI), plateau II (maximal milk flow less than 0.4 l/min) (PLII). If all milk flow curves of one animal were of the same type within one month and within both months, respectively, the animal was characterized as the ewe with the stabile type of milk flow. Frequency of occurrence of single milk flow types (1P : 2P : PLI : PLII) during stabile milkings was 42 : 49 : 9 : 0% in June and 51 : 37.5 : 11.5 : 0% in July. 33 ewes (i.e. 69%) had the stabile type of milk flow within both months. But, more than 51% of them had 1P type of milk flow. Milk production varied according to milk flow curve during OT milkings (0.427 &plusmn; 0.015, 0.498 &plusmn; 0.024, and 0.655 &plusmn; 0.035 l for 1P, 2P, and PLI, respectively). The highest percentage of residual milk from total milk yield (RM/TMY) was observed in ewes with 1P (20.29 &plusmn; 0.85%), followed by ewes with PLI (12.31 &plusmn; 1.99%) and 2P (9.72 &plusmn; 1.36%) (P &lt; 0.0001). Lacaune ewes had the lowest amount of residual milk (0.054 &plusmn; 0.006 l) and RM/TMY (9.86 &plusmn; 1.16%) compared to breeds Tsigai (0.088 &plusmn; 0.008 l; 16.47 &plusmn; 1.44%) and Improved Valachian (0.069 &plusmn; 0.010 l; 15.99 &plusmn; 1.78%) indicating their better udder emptying. &nbsp;


2005 ◽  
Vol 4 (sup2) ◽  
pp. 215-217 ◽  
Author(s):  
A. Sandrucci ◽  
L. Bava ◽  
A. Tamburini ◽  
L. Zanini

2016 ◽  
Vol 9 (10) ◽  
pp. 1075-1081 ◽  
Author(s):  
M. Sathiyabarathi ◽  
S. Jeyakumar ◽  
A. Manimaran ◽  
G. Jayaprakash ◽  
Heartwin A. Pushpadass ◽  
...  

2015 ◽  
Vol 18 (4) ◽  
pp. 799-805 ◽  
Author(s):  
A. Bortolami ◽  
E. Fiore ◽  
M. Gianesella ◽  
M. Corrò ◽  
S. Catania ◽  
...  

Abstract Subclinical mastitis in dairy cows is a big economic loss for farmers. The monitoring of subclinical mastitis is usually performed through Somatic Cell Count (SCC) in farm but there is the need of new diagnostic systems able to quickly identify cows affected by subclinical infections of the udder. The aim of this study was to evaluate the potential application of thermographic imaging compared to SCC and bacteriological culture for infection detection in cow affected by subclinical mastitis and possibly to discriminate between different pathogens. In this study we evaluated the udder health status of 98 Holstein Friesian dairy cows with high SCC in 4 farms. From each cow a sample of milk was collected from all the functional quarters and submitted to bacteriological culture, SCC and Mycoplasma spp. culture. A thermographic image was taken from each functional udder quarter and nipple. Pearson’s correlations and Analysis of Variance were performed in order to evaluate the different diagnostic techniques. The most frequent pathogen isolated was Staphylococcus aureus followed by Coagulase Negative Staphylococci (CNS), Streptococcus uberis, Streptococcus agalactiae and others. The Somatic Cell Score (SCS) was able to discriminate (p<0.05) cows positive for a pathogen from cows negative at the bacteriological culture except for cows with infection caused by CNS. Infrared thermography was correlated to SCS (p<0.05) but was not able to discriminate between positive and negative cows. Thermographic imaging seems to be promising in evaluating the inflammation status of cows affected by subclinical mastitis but seems to have a poor diagnostic value.


Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 227
Author(s):  
Vida Juozaitienė ◽  
Ramūnas Antanaitis ◽  
Gediminas Urbonavičius ◽  
Mingaudas Urbutis ◽  
Saulius Tušas ◽  
...  

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.


2007 ◽  
Vol 90 (3) ◽  
pp. 1159-1167 ◽  
Author(s):  
A. Sandrucci ◽  
A. Tamburini ◽  
L. Bava ◽  
M. Zucali

2011 ◽  
Vol 28 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Peter Strapák ◽  
Peter Antalík ◽  
Iveta Szencziová

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.


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