Associations between microsatellite polymorphism within the macrophage expressed lysozyme (mLys) gene and milk Indices Properties in Polish Black-and-White Cows

The experiment was performed in the years 1998–2000 on two farms located near to Vistula Lowlands. The experimental materials were comprised of 52 daughters of bull Paran, among which 21 possessed the mLys-mic 7 allele and 31 – the mLys-mic 3 allele. The serum and whey bacteriolytic activity of the lysozyme, concentrations of selected mineral elements, technological properties of milk at successive the first lactation stages (30, 100, 150 and 200 days), somatic cell count and bacterial count were investigated in this study. The results obtained indicate that Lys-mic polymorphism has low suitability as a marker for milk production capacity in cows. The lysozyme gene, treated as a mastitis resistance factor, showed no effects on somatic cell count and bacterial count. Further investigations, conducted not only during the first lactation, but also during the next lactation in a herd threatened by a variety of pathogenic factors, would be carried to validate this Lys-mic gene polymorphism on mastitis resistance.

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Associations between bovine lactoferrin gene polymorphism and somatic cell count in milk

Veterinární Medicína ◽

10.17221/5512-vetmed ◽

2012 ◽

Vol 51 (No. 1) ◽

pp. 14-20 ◽

Cited By ~ 8

Author(s):

K. Wojdak-Maksymiec ◽

M. Kmiec ◽

J. Ziemak

Keyword(s):

Gene Polymorphism ◽

Somatic Cell ◽

Cell Count ◽

Somatic Cell Count ◽

Bovine Lactoferrin ◽

Logarithmic Scale ◽

Black And White ◽

Holstein Friesian ◽

Pcr Rflp ◽

Lactoferrin Gene

The study included 124 Polish Black-and-White dairy cows of various share of the Holstein-Friesian (HF) breed. Lactoferrin (LTF) gene polymorphism was obtained with PCR-RFLP method using EcoRI enzyme. Two alleles of LTF, A and B, were found in the studied population. Their frequencies were 67.74% and 32.56%, respectively. The alleles controlled the occurrence of three genotypes: AA, BB and AB, of frequencies equal to 37.90%, 2.42% and 59.68%, respectively. It was established that statistically significant associations exist between the somatic cell count (SCC) and LTF genotype, lactation month and parity as well as the HF gene share. No significant association was found between somatic cell count and season. The highest somatic cell count (transformed to a logarithmic scale) was found in milk of the AB genotype, whereas the lowest one was found in cows of the AA genotype.

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Impact of policy-induced structural change on milk quality: evidence from the Flemish dairy sector

Journal of Dairy Research ◽

10.1017/s0022029909003938 ◽

2009 ◽

Vol 76 (2) ◽

pp. 234-240 ◽

Cited By ~ 7

Author(s):

Bart Van der Straeten ◽

Jeroen Buysse ◽

Guido Van Huylenbroeck ◽

Ludwig Lauwers

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Size Distribution ◽

Somatic Cell Count ◽

Bacterial Count ◽

Farm Size ◽

Total Bacterial Count ◽

Coliform Count ◽

Exchange Policy ◽

The Impact

This paper uses a Markov chain model to analyse the dynamics in farm-size distribution among the Flemish dairy sector and the impact of quota policy regulation on such changes. The model predicts a decline of 24% in number of farms in 2014 compared with the current situation with a more liberal exchange policy and a decline of 18% with a restricted quota exchange policy. From these Markov chain model results, we analysed the impact of farm-size distribution on eight different milk quality parameters (total bacterial count, somatic cell count, coliform count, freezing point, urea-N, fat content and protein content and penalty-points). In general, larger farms produce higher quality milk than smaller farms, especially with respect to the microbiological parameters (total bacterial count, somatic cell count and coliform count). The change in farm-size distribution from a liberal quota exchange policy would decrease the average total bacterial count by 18·0%, the somatic cell count by 2·1% and the coliform count by 11·0%. The aggregate performance of the other parameters are smaller with improvements in all cases of <1%.

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Effects of season, milking routine and cow cleanliness on bacterial and somatic cell counts of bulk tank milk

Journal of Dairy Research ◽

10.1017/s0022029911000598 ◽

2011 ◽

Vol 78 (4) ◽

pp. 436-441 ◽

Cited By ~ 27

Author(s):

Maddalena Zucali ◽

Luciana Bava ◽

Alberto Tamburini ◽

Milena Brasca ◽

Laura Vanoni ◽

...

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Somatic Cell Count ◽

Bacterial Count ◽

Cold Season ◽

Plate Count ◽

Bulk Tank Milk ◽

Somatic Cell Counts ◽

Cell Counts ◽

Bulk Tank

The aim of the study was to investigate the effects of season, cow cleanliness and milking routine on bacterial and somatic cell counts of bulk tank milk. A total of 22 dairy farms in Lombardy (Italy) were visited three times in a year in different seasons. During each visit, samples of bulk tank milk were taken for bacterial and somatic cell counts; swabs from the teat surface of a group of cows were collected after teat cleaning and before milking. Cow cleanliness was assessed by scoring udder, flanks and legs of all milking cows using a 4-point scale system. Season affected cow cleanliness with a significantly higher percentage of non-clean (NC) cows during Cold compared with Mild season. Standard plate count (SPC), laboratory pasteurization count (LPC), coliform count (CC) and somatic cell count, expressed as linear score (LS), in milk significantly increased in Hot compared with Cold season. Coagulase-positive staphylococci on teat swabs showed higher counts in Cold season in comparison with the other ones. The effect of cow cleanliness was significant for SPC, psychrotrophic bacterial count (PBC), CC and Escherichia coli in bulk tank milk. Somatic cell count showed a relationship with udder hygiene score. Milking operation routine strongly affected bacterial counts and LS of bulk tank milk: farms that accomplished a comprehensive milking scheme including two or more operations among forestripping, pre-dipping and post-dipping had lower teat contamination and lower milk SPC, PBC, LPC, CC and LS than farms that did not carry out any operation.

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