scholarly journals Inline Milk Lactose Concentration as Biomarker of the Health Status and Reproductive Success in Dairy Cows

Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 38
Author(s):  
Mindaugas Televičius ◽  
Vida Juozaitiene ◽  
Dovilė Malašauskienė ◽  
Ramunas Antanaitis ◽  
Arūnas Rutkauskas ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Health Status ◽  
Reproductive Success ◽  
Dairy Cows ◽  
Somatic Cell ◽  
Milk Fat ◽  
Metabolic Disorders ◽  
Protein Ratio ◽  
Cell Counts ◽  
Lactose Concentration

In this study, cow reticulorumen content pH and temperature together with the activity were registered using smaXtec boluses, specially designed for animal care. Body weight, rumination time, milk fat/protein ratio, milk yield, milk lactose, milk electrical conductivity, milk somatic cell count and consumption of concentrated feed were registered by Lely Astronaut® A3 milking robots. The cows in this study were assigned into two groups according to the milk lactose concentration: group 1—milk lactose < 4.70% (n = 20), group 2—milk lactose ≥ 4.70% (n = 15). The following cows were further classified according to milk fat and protein ratio: F/P < 1.2 (class 1), F/P = 1.2 (class 2) and F/P > 1.2 (class 3). According to our results, we can conclude that inline registered milk lactose concentration can be used to indicate the health status and reproductive success of fresh dairy cows. Cows with an increased lactose concentration (≥4.70%) showed more activity (54.47%) and had less risk of mastitis (determined by lower milk electrical conductivity (EC) and somatic cell counts (SCC)) and metabolic disorders, determined by milk F/P. A higher glucose concentration was also apparent in the cows with higher lactose concentration. Registered lower levels of milk lactose can be used for early identification of metabolic disorders and mastitis (set at milk SCC ≥ 100 thousand/mL). Lactose levels in cows’ milk were positively associated with their reproductive success.

scholarly journals Inline Milk Lactose Concentration as Biomarker of the Health Status in Fresh Dairy Cows

2020 ◽  
Author(s):  
Mindaugas Televičius ◽  
Vida Juozaitiene ◽  
Dovilė Malašauskienė ◽  
Ramūnas Antanaitis ◽  
Arūnas Rutkauskas ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Health Status ◽  
Dairy Cows ◽  
Milk Fat ◽  
Metabolic Disorders ◽  
Base Excess ◽  
Extracellular Fluid ◽  
Total Carbon ◽  
Protein Ratio ◽  
Lactose Concentration

In this study pH, temperature of the contents of the forestomach of cows and cow activity were measured using specific smaXtec boluses manufactured for animal care. Rumination time, body weight, milk yield, milk fat/protein ratio, milk lactose, milk somatic cell count, milk electrical conductivity and conception of concentrates were registered with the help of Lely Astronaut&reg; A3 milking robots. The following parameters were obtained: base excess in blood, partial carbon dioxide pressure, partial oxygen pressure, bicarbonate, hydrogen potential, total carbon dioxide carbon, base excess in extracellular fluid, sodium, calcium, potassium, packed cell volume, chlorides, hemoglobin concentration and lactate. According to the concentration of lactose in milk, cows were grouped into two groups: group 1 - milk lactose &amp;lt;4.70% (n = 20), group 2 - milk lactose &ge; 4.70% (n = 15). Data of cows were also divided by milk fat and protein ratio: F/P&amp;lt;1.2 (class 1), F/P=1.2 (class 2) and F/P&amp;gt;1.2 (class 3). According our results we can conclude that inline registered milk lactose concentration can be used as indicator for the health status of fresh dairy cows. Cows with higher lactose concentration (&ge; 4.70%) developed more activity (54.47%) and had less risk of mastitis (lover milk EC, and SCC) and metabolic disorders according to F/P. Cows with higher lactose concentration showed higher glucose concentrations. Low level of lactose can be used as indicator of mastitis (milk SCC &ge; 100 thousand/ml) and metabolic disorders according to F/P.

scholarly journals Influence of Calving Ease on In-Line Milk Urea and Relationship with Other Milk Characteristics in Dairy Cows

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1159
Author(s):  
Mindaugas Televičius ◽  
Ramūnas Antanaitis ◽  
Vida Juozaitienė ◽  
Algimantas Paulauskas ◽  
Dovilė Malašauskienė ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Dairy Cows ◽  
Somatic Cell ◽  
Milk Fat ◽  
Milk Protein ◽  
Chemical Properties ◽  
Mean Value ◽  
Protein Ratio ◽  
Negative Effect ◽  
Milk Urea

The aim of this research was to identify the relationship of calvin ease and level of in-line milk urea (MU) and other milk components, namely milk yield (MY), electrical conductivity (EC), milk fat (MF), milk protein (MP), milk fat/protein ratio (MF/MP), and somatic cell count (SCC) in dairy cows. The cows for the research were selected following such criteria: cows were tested within the period of up to the first 30 days after calving and had had a range of lactation numbers from two to four. Each selected farm housed more than 500 dairy cows and a total of 4712 calving cases from the eight dairy farms were studied and evaluated. The 4-point scale was used for the evaluation of the calving according to the point value meanings where 1 = easy, unassisted; 2 = easy, assisted; 3 = difficult, assisted; 4 = difficult, requiring veterinary intervention. A total of 4712 calving cases were researched and scored. The chemical properties of milk in all research cows were analyzed during the early phase of lactation (from the onset of calving to 30 days past calving) every day, during each milking. Cows were classified into groups according to the level of urea in milk: Group 1 had MU ≤ 15 mg/dL (12.6% of cows), Group 2 had MU 16–30 mg/dL (62.4% of cows), and Group 3 had MU > 30 mg/dL (25.0% of cows). We found that cows with milk urea levels between 16 and 30 mg/dL had the lowest incidence of dystocia, and also the highest concentration of milk lactose (ML ≥ 4.6%), the lowest mean value of milk electrical conductivity, and the lowest value of milk SCC. Dystocia increased the risk of somatic cell growth in cow’s milk above the herd average (OR = 1.364; 95% CI = 1.184–1.571, p < 0.001), and normal urea in milk reduced this risk (OR = 0.749; 95% CI = 0.642–0.869, p = 0.05). In all groups of cows, according to the level of urea in milk, the productivity of cows without dystocia at calving was higher (2.50–5.51 kg) as well as the milk protein % (0.13–0.21%) and milk lactose % (0.07–0.19%). We concluded that, in all groups of cows, according to the level of urea in milk, the productivity and milk lactose concentration of cows without dystocia at calving was higher, and lower somatic cells count and electrical conductivity values were found in the milk compared with cows diagnosed with dystocia at calving. We can state that dystocia has a negative effect on milk urea concentration and can increase the risk of mastitis.

scholarly journals Identification of Risk Factors for Lameness Detection with Help of Biosensors

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 610
Author(s):  
Ramūnas Antanaitis ◽  
Vida Juozaitienė ◽  
Gediminas Urbonavičius ◽  
Dovilė Malašauskienė ◽  
Mindaugas Televičius ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Milk Fat ◽  
Milk Protein ◽  
Standard Procedure ◽  
Clinical Signs ◽  
Experimental Period ◽  
Early Lactation ◽  
Protein Ratio ◽  
Walking Activity ◽  
Protein Milk

In this study we hypothesized that the lameness of early lactation dairy cows would have an impact on inline biomarkers, such as rumination time (RT), milk fat (%), milk protein (%), milk fat/protein ratio (F/P), milk lactose (L, %), milk electrical conductivity of all udder quarters, body weight (BW), temperature of reticulorumen content (TRR), pH of reticulorumen content (pH), and walking activity (activity). All 30 lame cows (LCs) used in this experiment had a score of 3–4, identified according to the standard procedure of Sprecher et al.. The 30 healthy cows (HC) showed a lameness score of one. RT, milk fat, MY, milk protein, F/P, L, milk electrical conductivity of all udder quarters, and BW were registered using Lely Astronaut® A3 milking robots each time the cow was being milked. The TRR, cow activity, and pH of the contents of each cow’s reticulorumen were registered using specific smaXtec boluses. The study lasted a total of 28 days. Days “−14” to “−1” denote the days of the experimental period before the onset of clinical signs of lameness (day “0”), and days “1” to “13” indicate the period after the start of treatment. We found that from the ninth day before the diagnosis of laminitis until the end of our study, LCs had higher milk electrical conductivity in all udder quarters, and higher milk fat to protein ratios. On the 3rd day before the onset of clinical signs of the disease until the day of diagnosis, the milk fat of the LC group was reduced. The activity of the LCs decreased sharply from the second day to the first day after treatment. RT in the HC group tended to decrease during the experiment. pH in LCs also increased on the day of the appearance of clinical signs.

scholarly journals Carryover of aflatoxin from feed to milk in dairy cows with low or high somatic cell counts

animal ◽  
2007 ◽  
Vol 1 (9) ◽  
pp. 1344-1350 ◽  
Author(s):  
F. Masoero ◽  
A. Gallo ◽  
M. Moschini ◽  
G. Piva ◽  
D. Diaz
Keyword(s):  
Dairy Cows ◽  
Somatic Cell ◽  
Somatic Cell Counts ◽  
Cell Counts

Evaluation of the udder health status in subclinical mastitis affected dairy cows through bacteriological culture, somatic cell count and thermographic imaging

2015 ◽  
Vol 18 (4) ◽  
pp. 799-805 ◽  
Author(s):  
A. Bortolami ◽  
E. Fiore ◽  
M. Gianesella ◽  
M. Corrò ◽  
S. Catania ◽  
...  
Keyword(s):  
Health Status ◽  
Dairy Cows ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Subclinical Mastitis ◽  
Bacteriological Culture ◽  
Udder Health ◽  
Streptococcus Uberis ◽  
Thermographic Imaging

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.

scholarly journals Revisiting the Relationships between Fat-to-Protein Ratio in Milk and Energy Balance in Dairy Cows of Different Parities, and at Different Stages of Lactation

Animals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 3256
Author(s):  
Edward H. Cabezas-Garcia ◽  
Alan W. Gordon ◽  
Finbar J. Mulligan ◽  
Conrad P. Ferris
Keyword(s):  
Energy Balance ◽  
Dairy Cows ◽  
Milk Fat ◽  
Early Lactation ◽  
Protein Ratio ◽  
Linear Relationships ◽  
Holstein Friesian ◽  
Partial Correlations ◽  
Regression Slopes ◽  
Beta Hydroxybutyrate

A statistical re-assessment of aggregated individual cow data was conducted to examine trends in fat-to-protein ratio in milk (FPR), and relationships between FPR and energy balance (EB, MJ of ME/day) in Holstein-Friesian dairy cows of different parities, and at different stages of lactation. The data were collected from 27 long-term production trials conducted between 1996 and 2016 at the Agri-Food and Biosciences Institute (AFBI) in Hillsborough, Northern Ireland. In total, 1321 lactations (1 to 20 weeks in milk; WIM), derived from 840 individual cows fed mainly grass silage-based diets, were included in the analysis. The energy balance was calculated daily and then averaged weekly for statistical analyses. Data were further split in 4 wk. intervals, namely, 1–4, 5–8, 9–12, 13–16, and 17–20 WIM, and both partial correlations and linear regressions (mixed models) established between the mean FPR and EB during these periods. Three FPR score categories (‘Low’ FPR, <1.0; ‘Normal’ FPR, 1.0–1.5; ‘High’ FPR, >1.5) were adopted and the performance and EB indicators within each category were compared. As expected, multiparous cows experienced a greater negative EB compared to primiparous cows, due to their higher milk production relative to DMI. Relatively minor differences in milk fat and protein content resulted in large differences in FPR curves. Second lactation cows displayed the lowest weekly FPR, and this trend was aligned with smaller BW losses and lower concentrations of non-esterified fatty acids (NEFA) until at least 8 WIM. Partial correlations between FPR and EB were negative, and ‘greatest’ in early lactation (1–4 WIM; r = −0.38 on average), and gradually decreased as lactation progressed across all parities (17–20 WIM; r = −0.14 on average). With increasing parity, daily EB values tended to become more negative per unit of FPR. In primiparous cows, regression slopes between FPR and EB differed between 1–4 and 5–8 WIM (−54.6 vs. −47.5 MJ of ME/day), while differences in second lactation cows tended towards significance (−57.2 vs. −64.4 MJ of ME/day). Irrespective of the lactation number, after 9–12 WIM, there was a consistent trend for the slope of the linear relationships between FPR and EB to decrease as lactation progressed, with this likely reflecting the decreasing milk nutrient demands of the growing calf. The incidence of ‘High’ FPR scores was greatest during 1–4 WIM, and decreased as lactation progressed. ‘High’ FPR scores were associated with increased energy-corrected milk (ECM) yields across all parities and stages of lactation, and with smaller BW gains and increasing concentrations (log transformed) of blood metabolites (non-esterified fatty acid, NEFA; beta-hydroxybutyrate, BHB) until 8 WIM. Results from the present study highlight the strong relationships between FPR in milk, physiological changes, and EB profiles during early lactation. However, while FPR can provide an indication of EB at a herd level, the large cow-to-cow variation indicates that FPR cannot be used as a robust indicator of EB at an individual cow level.

scholarly journals Association of paratuberculosis sero-status with milk production and somatic cell counts across 5 lactations, using multilevel mixed models, in dairy cows

2018 ◽  
Vol 101 (8) ◽  
pp. 7638-7649 ◽  
Author(s):  
E.G. Martins ◽  
P. Oliveira ◽  
B.M. Oliveira ◽  
D. Mendonça ◽  
J. Niza-Ribeiro
Keyword(s):  
Dairy Cows ◽  
Somatic Cell ◽  
Milk Production ◽  
Mixed Models ◽  
Somatic Cell Counts ◽  
Cell Counts

scholarly journals Effects of Saccharomyces cerevisiae Addition in Dairy Cows Diets

2021 ◽  
Vol 78 (1) ◽  
pp. 18
Author(s):  
Marinela ENCULESCU
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Health Status ◽  
Dairy Cows ◽  
Milk Yield ◽  
Milk Fat ◽  
Control Group ◽  
Free Access ◽  
Alternative Source ◽  
Effective Measure ◽  
Experimental Group

The aim of this study was to evaluate the effects of fresh yeast (Saccharomyces cerevisiae) supplementation in the dairy cows’ diets on productive performances and health status. The study was carried out in the experimental farm of the Research and Development Institute for Bovine Balotești on 50 multiparous Romanian Black and Spotted dairy cows, randomly divided into two groups (N = 25 heads/group), according to age, milk yield, body weight and health status. The experimental group received 80 g Saccharomyces cerevisiae/head/day for one year. The groups were fed with the same diet and had free access to water and salt. Results were expressed as a mean (±Standard Deviation). The t-test was applied to obtain the significance of difference. Supplementation of the diet with Saccharomyces cerevisiae had a significant effect (P <0.001) on milk yield (20.71±1.65 l/head/day) for the experimental group comparing with the control group (18.22±1.81 l/head/day), and on milk protein and lactose (P <0.05). The addition of Saccharomyces cerevisiae in dairy cows’ diet did not improve the milk fat, hematological and biochemical/urine indicators in the experimental group (P >0.05). However, for alkaline phosphatase, differences at the end of the study have been observed (P <0.01). The beneficial effect of the yeast and yeast products in ruminants could be attributed to microbial activity by increasing the number of beneficial bacteria in the rumen of the animals. The use of Saccharomyces cerevisiae as an alternative source of economic protein, vitamins and minerals in dairy cows’ diet represents an effective measure to optimize animal productivity.

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