scholarly journals Recovery Rates of Treated vs. Non-Treated Dairy Cows with Subclinical Mastitis

Dairy ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 576-584
Author(s):  
Yaniv Lavon ◽  
Dan Gilad ◽  
Gabriel Leitner
Keyword(s):  
Antibiotic Treatment ◽  
Somatic Cell Count ◽  
Spontaneous Recovery ◽  
Dairy Herd ◽  
Subclinical Mastitis ◽  
Visual Symptoms ◽  
Previous Condition ◽  
Time Of Infection ◽  
Cutoff Levels ◽  
Number Of Cells

The term “spontaneous recovery” refers to a return to a previous condition without any external treatment. In cow mastitis, it refers to cases exhibiting visual symptoms (clinical) or an increase in somatic cell count (SCC) with no visual symptoms (subclinical), with or without identification of a pathogen, from which the animal recovers. A large retrospective analysis of data compiled from the Israeli Dairy Herd Book was performed to evaluate the occurrence of: (i) actual “spontaneous recovery” from the inflammation; (ii) recovery from the inflammation due to antibiotic treatment. In 2018, 123,958 cows from 650 herds with first elevation of SCC at monthly test-day milk yield were clustered into five SCC-cutoff levels (CL) (×103 cells/mL): CL1 (200–299), CL2 (300–399), CL3 (400–499), CL4 (500–999), CL5 (≥1000). Each cutoff level was analyzed separately, and each cow appeared only once in the same lactation and cutoff level, thus resulting in five independent analyses. Recovery was defined as decreased SCC on all three monthly test days, or on the second and third test days, set to: R1 (<100 × 103 cells/mL); R2 (<250 × 103 cells/mL). No difference was found among cutoff levels when the recovery was set to R1, with only 10–12% of the cows presenting spontaneous recovery. When the recovery was set to R2, percent spontaneous recovery was 25–27% at the three higher cutoff levels (CL3–CL5) and 35–41% at the lowest levels (CL1, CL2). Antibiotic treatment was administered to only ~10% of the cows, and in only the higher cutoff-level groups—CL4 and CL5. No difference was found between spontaneous recovery and recovery after antibiotic treatment. Moreover, percentage culled cows treated with antibiotics was significantly higher (p < 0.01) than that of non-treated culled cows (18 and 10.2, respectively), suggesting that the more severe mastitis cases were treated. We concluded that (i) actual spontaneous recovery from inflammation is low and does not depend on the number of cells in the milk at time of infection, and (ii) recovery from inflammation following antibiotic treatment is not higher.

Reliability of the bulk milk somatic cell count as an indication of average herd somatic cell count

2009 ◽  
Vol 76 (4) ◽  
pp. 490-496 ◽  
Author(s):  
Jan Lievaart ◽  
Herman W Barkema ◽  
Henk Hogeveen ◽  
Wim Kremer
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Management Practices ◽  
Dairy Herd ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Bulk Milk ◽  
Sampling Variation ◽  
The Difference

Bulk milk somatic cell count (BMSCC) is a frequently used parameter to estimate the subclinical mastitis prevalence in a dairy herd, but it often differs considerably from the average SCC of all individual cows in milk. In this study, first the sampling variation was determined on 53 dairy farms with a BMSCC ranging from 56 000 to 441 000 cells/ml by collecting five samples on each farm of the same bulk tank. The average absolute sampling variation ranged from 1800 to 19 800 cells/ml. To what extent BMSCC represents all lactating cows was evaluated in another 246 farms by comparing BMSCC to the average herd SCC corrected for milk yield (CHSCC), after the difference was corrected for the sampling variation of BMSCC. On average BMSCC was 49 000 cells/ml lower than CHSCC, ranging from −10 000 cells/ml to 182 000 cells/ml, while the difference increased with an increasing BMSCC. Subsequently, management practices associated with existing differences were identified. Farms with a small (<20%) difference between BMSCC and CHSCC administered intramuscular antibiotics for the treatment of clinical mastitis more often, used the high SCC history when cows were dried off more frequently and had a higher number of treatments per clinical mastitis case compared with farms with a large (⩾20%) difference. Farms feeding high-SCC milk or milk with antibiotic residues to calves were 2·4-times more likely to have a large difference. Although sampling variation influences the differences between BMSCC and CHSCC, the remaining difference is still important and should be considered when BMSCC is used to review the average herd SCC and the subclinical mastitis prevalence.

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 Differential somatic cell count—A novel method for routine mastitis screening in the frame of Dairy Herd Improvement testing programs

2017 ◽  
Vol 100 (6) ◽  
pp. 4926-4940 ◽  
Author(s):  
Malin Damm ◽  
Claus Holm ◽  
Mette Blaabjerg ◽  
Morten Novak Bro ◽  
Daniel Schwarz
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Dairy Herd ◽  
Novel Method

scholarly journals Threshold somatic cell count for delineation of subclinical mastitis cases

2018 ◽  
Vol 11 (6) ◽  
pp. 789-793 ◽  
Author(s):  
P. V. Jadhav ◽  
D. N. Das ◽  
K. P. Suresh ◽  
B. R. Shome
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Subclinical Mastitis

scholarly journals Effect of including herbal choline in the diet of a dairy herd; a multiyear evaluation

2019 ◽  
pp. 477 ◽  
Author(s):  
Alfredo Gutiérrez R., Alfredo Gutiérrez ◽  
Carlos Sánchez ◽  
Germán D. Mendoza
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Dairy Herd ◽  
Health Indicators ◽  
Subclinical Mastitis ◽  
Feed Additives ◽  
Lactating Cows ◽  
Chi Squared ◽  
Important Health ◽  
Using Data

A linear mixed model and chi-squared tests were used to estimate the effects of the dietary inclusion of herbal choline at 0.071 % of the diet in the entire dairy herd (target dose of 17 g/d in lactating cows) using data from six years in a commercial farm. The feed plant additive (BioCholine) was included in the premix spanning three years (2016-2018) feeding 442 cows average per year and information was compared with the three previous years (2013 – 2015; 424 cows average per year). Energy corrected milk in the period 2016-2018 was increased by 1.57% (p<0.001) compared to years 2013-2016 (36.36 vs. 35.80 kg/d). Fertility in cows during first lactation was improved (P<0.01) with the feed plant additive (45.33 vs. 37.0%). The period feeding herbal choline (2016-2018) showed a reduction (p<0.0001) in abortions (15.65 to 7.29%) and clinical (p<0.005; 12.59 to 6.95%) and subclinical mastitis (p<0.05; 8.65 to 5.22%) and in respiratory disorders (p<0.10; 12.42 to 8.56%) whereas hypocalcaemia incidence was increased (p<0.01) from 1.73 to 6.22%. Total herd replacement was reduced during the years 2016-2018 by 5.73% (p<0.05) without effects in mortality. Inclusion of the plant feed additives containing conjugates of choline improved milk yield, fertility in first lactation cows and important health indicators which help to reduced herd replacement.

scholarly journals An Overview of Specific Pathogens in Goat Mastitis

2019 ◽  
Vol 76 (2) ◽  
pp. 118
Author(s):  
Cristiana Ștefania NOVAC ◽  
Sanda ANDREI ◽  
Nicodim Iosif FIȚ
Keyword(s):  
Somatic Cell Count ◽  
Goat Milk ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Economic Consequences ◽  
The Other ◽  
Aetiological Agent ◽  
Dairy Goats ◽  
Coagulase Negative Staphylococci ◽  
Intramammary Infections

Goat milk ranks fourth in terms of global milk production and lately it has become increasingly popular among consumers. Unfortunately, mastitis is one of the most common diseases that affects dairy goats, with serious economic consequences and food safety matters. The prevalence of clinical mastitis is lower than 5% and the main aetiological agent is S. aureus. On the other hand, the prevalence of subclinical mastitis is between 5-30%, with coagulase negative staphylococci (CNS) representing the most often isolated microorganisms.The aim of this paper is to highlight the main aspects regarding the aetiology of goat mastitis, as well as the importance of the milk somatic cell count (MSCC) in the diagnosis process. Although the inflammation of the mammary gland in goats is not as frequently diagnosed compared to cow mastitis, there are several aspects worth discussing in order to fully understand the pathogenesis of intramammary infections.

scholarly journals The presence of pathogens in milk of ewes in relation to the somatic cell count and subpopulations of leukocytes

2021 ◽  
Author(s):  
Tvarožková ◽  
Vašíček ◽  
Uhrinčať ◽  
Mačuhová ◽  
Hleba ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Dairy Farm ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Polymorphonuclear Cells ◽  
Coagulase Negative Staphylococci ◽  
Major Health Problem ◽  
Milk Samples

Mastitis is a major health problem of the udder in dairy sheep breeds. For diagnosis of subclinical mastitis, somatic cell count (SCC) is commonly used. The presence of pathogens in the udder causes the increase of leukocytes and thus SCC in milk. Therefore, the aim of this study was to evaluate the presence of pathogens in the milk of ewes and the possible relationship with SCC. The changes of leukocytes subpopulation in milk samples with high SCC were evaluated as well. The experiment was carried out on a dairy farm with the Lacaune breed. This study was conducted on 45 ewes (98 milk samples) without signs of clinical mastitis. Based on somatic cell count, samples were divided to five SCC groups: SCC1 &lt; 200 000 cells/ml (45 milk samples); 200 000 ≤ SCC2 &lt; 400 000 cells/ml (10 milk samples); 400 000 ≤ SCC3 &lt; 600 000 cells/ml (six milk samples); 600 000 ≤ SCC4 &lt; 1 000 000 cells/ml (six milk samples); SCC5 ≥ 1 000 000 cells/ml (31 milk samples). No pathogens were observed in the majority of milk samples (60.20%). Coagulase-negative staphylococci (CNS) were the most commonly isolated pathogens from the milk of ewes (86.11%). Staphylococcus epidermidis had the highest incidence from CNS (35.48%). In the SCC5 group, up to 79.31% of bacteriological samples were positive. The percentage of leukocytes significantly increased (P &lt; 0.001) in the samples with higher SCC (≥ 200 × 10<sup>3</sup> cells/ml) in comparison to the group SCC1. Also, the percentage of polymorphonuclear cells (PMNs) was significantly higher with increasing SCC (P &lt; 0.001). In conclusion, the presented results showed that the high SCC was caused by the presence of the pathogen in milk. Thus SCC &lt; 200 000 cells/ml and leukocyte subpopulation, especially PMNs, could be considered as important tools in udder health programs applied in dairy ewes.

Preservation and Storage Mechanisms for Raw Milk Samples for Use in Milk-Recording Schemes

1996 ◽  
Vol 59 (2) ◽  
pp. 151-154 ◽  
Author(s):  
HUMBERTO G. MONARDES ◽  
ROBERT K. MOORE ◽  
BRIAN CORRIGAN ◽  
YVON RIOUX
Keyword(s):  
Cell Count ◽  
Somatic Cell Count ◽  
Potassium Dichromate ◽  
Dairy Herd ◽  
Raw Milk ◽  
Storage Conditions ◽  
Sample Storage ◽  
Milk Samples ◽  
Whole Process ◽  
And Storage

This study, carried out by the Quebec Dairy Herd Analysis Service, compares (during summer conditions in Quebec) the performance of three types of preservatives for raw milk under four different systems of sample storage: no refrigeration, refrigeration at the laboratory only, refrigeration during transport and at the lab, and complete refrigeration from sampling at the farm to analysis. The objective was to determine the best preservative and storage conditions for protecting milk components during transportation and storage of raw milk samples collected at the farm and sent to a central testing lab for analysis. Milk samples were analyzed at day 3 and at day 7 after sampling to observe the effect of aging. A total of 12,480 samples were collected during the trial. The components studied were percentage of fat and protein and somatic cell count (SCC). In general, samples preserved with bronopol (2-bromo-2-nitropropane-1,3-diol and 2-bromo-2-nitropropanol) in liquid or in microtab tended to give higher readings for fat and protein contents than samples preserved with potassium dichromate. Significantly lower fat values were observed in 7-day-old samples compared to 3-day-old samples. Fat depression was more accentuated in nonrefrigerated samples. Under current methods of handling raw milk samples, refrigeration during the whole process of sampling, transportation, and until analysis, seems an ideal to attain to avoid significant reductions of fat values.

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