Relationship of somatic cell count, physical, chemical and enzymatic properties to the bacterial standard plate count in dairy goat milk

2002 ◽  
Vol 74 (1) ◽  
pp. 63-77 ◽  
Author(s):  
Chingwen Ying ◽  
Han-Tsung Wang ◽  
Jih-Tay Hsu
Author(s):  
Oto Hanuš ◽  
Petr Roubal ◽  
Josef Kučera ◽  
Marcela Klimešová ◽  
Radoslava Jedelská ◽  
...  

This work is aimed at prediction and quantification of goat milk yield (MY, kg) losses by the somatic cell count (SCC, 103.ml−1) in milk recording. The goal is to support the prevention of milk secretion disorders, milk yield and quality. During two years there were evaluated composition and properties of individual milk samples (n = 1 173). There were included animals of brown short‑haired (BSH) breed and BSH × white short‑haired in one flock. The linear and nonlinear regression, interpolation, extrapolation, approximation and qualified estimation were used for milk losses prediction along the SCC. The relevant values of the SCC arithmetic and geometric mean and median and MY arithmetic mean were: 1,400 103.ml−1 (with high variability of 128 %), 745 and 747 103.ml−1; 2.94 kg/ day. The relationship between fat and crude protein had a correlation coefficient of 0.395, P < 0.001. There were stated the correlations between SCC and: lactose −0.416, P < 0.001; solids non fat −0.25, P < 0.001; MY −0.135, P < 0.01. The relationship between SCC and MY was negative along months, 6 cases out of 7 and significant in March and May (P < 0.05 and P < 0.01). For instance predicted MY for SCC intervals 1–1.999, 2–2.999, 3–3.999, 4–4.999, 5–5.999, 6–6.999 and ≥ 7 thousands 103.ml−1 may be 3.99, 3.77, 3.6 , 3.46, 3.33, 3.23 and 3.13 kg in 3rd month etc. The corresponding MY losses by SCC are evident from this trend. The result use is focused on the original dairy goat farm and use elsewhere is possible in farms with similar SCC, goat milk yield and rearing system.


1991 ◽  
Vol 54 (7) ◽  
pp. 549-553 ◽  
Author(s):  
JOHN J. GOLDBERG ◽  
JOSEPH W. PANKEY ◽  
PEGGY A. DRECHSLER ◽  
PATRICIA A. MURDOUGH ◽  
DIANTHA B. HOWARD

Quality of Vermont bulk tank milk was first surveyed in 1985 as part of a statewide milk quality enhancement program. In a second survey conducted in 1990, bulk tank milk from 1,971 farms was sampled and tested for standard plate count, bacterial type and species distribution, and somatic cell count. Test results from 1,203 duplicate bulk tank milk samples were compared between five Vermont milk processors and the University of Vermont Quality Milk Research Laboratory. Arithmetic mean standard plate count conducted by processors was 2.3 × 104 CFU/ml in 1990 compared with 3.0 × 104 CFU/ml in 1985 (Geometric mean went from 1.3 × 104 CFU/ml in 1985 to 1.1 × 104 CFU/ml in 1990). Trypticase blood-esculin agar was used at the Quality Milk Research Laboratory to determine distribution of bacteria types and species. Comparison of results with a 1985 survey appeared to demonstrate a reduction in the percentage of farms with Streptococcus agalactiae from 47% to 32%. Frequency of other organisms increased with the majority being environmental organisms. Arithmetic mean total raw bacteria count on blood agar was 1.9 × 104 CFU/ml. Correlation between standard plate count and blood agar raw bacteria count was low. Arithmetic mean somatic cell count appeared to decline from 5.4 × 105 cells/ml in 1985 to 3.4 × 105 cells/ml in 1990 (Geometric mean went from 4.1 × 105 cells/ml in 1985 to 2.9 × 105 cells/ml in 1990). Correlation between somatic cell counts conducted by milk processors and the Quality Milk Research Laboratory was high.


2021 ◽  
Vol 10 (2) ◽  
pp. e45910212250
Author(s):  
Adriano Rogério Mendes ◽  
Márcia Aparecida Andreazzi ◽  
Sandra Maria Simonelli ◽  
Fábio Luiz Bim Cavalieri ◽  
Vinicius Eduardo Gargaro Silva

The world dairy cattle industry has advanced, but in Brazil, the quality of milk is a barrier to the strengthening of the chain. Thus, the objective of this research was to institute an action plan in ten dairy farms in the southern region of Brazil, which produced low quality milk, and to monitor changes in quality and economic gain, during one year. Critical points were identified and an action plan based on good agricultural practices and mastitis control was instituted. Monitoring consisted of collecting and analyzing milk samples for levels of fat, protein, somatic cell count and standard plate count. After twelve months, there was an increase (p<0.05) in the levels of fat and protein and a reduction (p<0.05) in the somatic cell count and in the standard plaque count. The action plan improved the quality of milk and, therefore, reduced the disposal of milk in the environment, and increased the profitability of the properties studied.


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