scholarly journals Polymorphisms in CGIL4, breeding value for somatic cell count and resistance to mastitis

2011 ◽  
Vol 56 (No. 7) ◽  
pp. 301-304 ◽  
Author(s):  
J. Čítek ◽  
V. Řehout ◽  
L. Hanusová ◽  
A. Míková ◽  
I. Jašková
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Clinical Mastitis ◽  
Breeding Value ◽  
Breeding Values ◽  
Potential Marker ◽  
Significant Difference ◽  
Pcr Rflp ◽  
The Relationship

The relationship between a potential marker for mastitis, CGIL4, and the breeding value for somatic cell count (SCC) was analysed in a panel of Czech Simmental and German Holstein sires. Genotyping was done by PCR/RFLP. The analysis did not reveal a significant difference in breeding values for SCC depending on the genotype of CGIL4, even though other authors confirmed the relationship between this marker and clinical mastitis. Further investigations will be necessary to clarify the relevance of the marker for selection against mastitis.

scholarly journals Associations between Bovine β-Defensin 4 Genotypes and Production Traits of Polish Holstein-Friesian Dairy Cattle

Animals ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 723
Author(s):  
Brodowska ◽  
Zwierzchowski ◽  
Marczak ◽  
Jarmuż ◽  
Bagnicka
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
High Rate ◽  
Breeding Value ◽  
Production Traits ◽  
Milk Traits ◽  
Breeding Values ◽  
Holstein Friesian

This study analyzed the associations between two single-nucleotide polymorphisms (C2239T and A1674C), used together as a genotype located in BNBD4, and milk traits and breeding values of productivity traits of Polish Holstein-Friesian dairy cows. The research was carried out on 322 cows, with 7070 milk parameter and somatic cell count records in daily milking, as well as 897 records covering data on whole lactations, and 2209 breeding value records for productivity traits. The DMU statistical package with a one-trait repeatability test-day animal model was used to estimate the associations. The differences between the genotype effects were analyzed using Duncan’s post-hoc tests. The CC/AA and CT/AC genotypes had the highest frequencies (0.62 and 0.23, respectively). For use in marker-assisted selection, the CC/AC genotype is the most promising as an indicator of high-yielding cows potentially resistant to mastitis, because it was associated with the lowest somatic cell count (SCC), highest milk, fat, and protein yields in daily milking, as well as with milk yield in the whole lactation. The studied genotypes were also related to the breeding values of all the investigated production traits. However, some simulation studies have indicated a high rate of false-positives in GWAS based on classically calculated EBVs.

Udder and teat conformational risk factors for elevated somatic cell count and clinical mastitis in New York Holsteins

2019 ◽  
Vol 163 ◽  
pp. 7-13 ◽  
Author(s):  
Asha M. Miles ◽  
Jessica A.A. McArt ◽  
Francisco A. Leal Yepes ◽  
Cassandra R. Stambuk ◽  
Paul D. Virkler ◽  
...  
Keyword(s):  
Risk Factors ◽  
New York ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Clinical Mastitis

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.

scholarly journals Genetic associations for pathogen-specific clinical mastitis and patterns of peaks in somatic cell count

2003 ◽  
Vol 77 (2) ◽  
pp. 187-195 ◽  
Author(s):  
Y. de Haas ◽  
H.W. Barkema ◽  
Y.H. Schukken ◽  
R.F. Veerkamp
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Genetic Correlations ◽  
Genetic Selection ◽  
Clinical Mastitis ◽  
Genetic Associations ◽  
Coagulase Negative Staphylococci ◽  
Streptococcus Uberis ◽  
Lactation Curve

AbstractGenetic associations were estimated between pathogen-specific cases of clinical mastitis (CM), lactational average somatic cell score (LACSCS), and patterns of peaks in somatic cell count (SCC) which were based on deviations from the typical lactation curve for SCC. The dataset contained test-day records on SCC in 94 781 lactations of 25 416 cows of different parities. Out of these 94 781 lactations, 41 828 lactations had recordings on occurrence of pathogen-specific CM and on SCC, and 52 953 lactations had recordings on SCC only. A total of 5 324 lactations with cases of CM were recorded. Analysed pathogens were Staphylococcus aureus, coagulase negative staphylococci, Escherichia coli, Streptococcus dysgalactiae, Streptococcus uberis, and culture-negative samples. Pattern definitions were based on three or five consecutive test-day recordings of SCC. They differentiated between short or longer periods of increased SCC, and also between lactations with and without recovery. Occurrence of pathogen-specific CM and presence of patterns of peaks in SCC were both scored as binary traits. Variance components for sire, maternal grandsire, and permanent animal effects were estimated using AS-REML. The estimated heritability for overall CM was 0·04, and similar heritabilities for pathogen-specific CM were estimated. Heritabilities for the patterns of peaks in SCC ranged from 0·01 to 0·06. Heritabilities for LACSCS were 0·07 to 0·08. Genetic correlations with patterns of peaks in SCC differed for each pathogen. Generally, genetic correlations between pathogen-specific CM and patterns of peaks in SCC were stronger than the correlations with LACSCS. This suggests that genetic selection purely on diminishing presence of peaks in SCC would decrease the incidence of pathogen-specific CM more effectively than selecting purely on lower LACSCS.

Relationship between somatic cell count status and subsequent clinical mastitis in Dutch dairy cows

2011 ◽  
Vol 102 (4) ◽  
pp. 265-273 ◽  
Author(s):  
B.H.P. van den Borne ◽  
J.C.M. Vernooij ◽  
A.M. Lupindu ◽  
G. van Schaik ◽  
K. Frankena ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Clinical Mastitis

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.

Associations between somatic cell count patterns and the incidence of clinical mastitis

2005 ◽  
Vol 67 (1) ◽  
pp. 55-68 ◽  
Author(s):  
Y. de Haas ◽  
H.W. Barkema ◽  
Y.H. Schukken ◽  
R.F. Veerkamp
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Clinical Mastitis
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