The relationships between somatic cell count, total bacterial count and intramammary infection in milk samples of Damascus goats during postpartum days

2019 ◽  
Vol 180 ◽  
pp. 1-5
Author(s):  
Huban Gocmen ◽  
Isfendiyar Darbaz ◽  
Osman Ergene ◽  
Omer M. Esendal ◽  
Selim Aslan
2009 ◽  
Vol 76 (2) ◽  
pp. 234-240 ◽  
Author(s):  
Bart Van der Straeten ◽  
Jeroen Buysse ◽  
Guido Van Huylenbroeck ◽  
Ludwig Lauwers

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%.


2009 ◽  
Vol 1 (5) ◽  
pp. 49
Author(s):  
A. Coccollone ◽  
A. Canever ◽  
M. Trevisani ◽  
A. Borsari ◽  
F. Giacometti ◽  
...  

2018 ◽  
Vol 19 (0) ◽  
Author(s):  
Ângela Maria de Vasconcelos ◽  
Daniele Alves de Farias ◽  
Tereza Cristina Lacerta Gomes ◽  
Aline Vieira Landim ◽  
Robson Mateus Freitas Silveira ◽  
...  

Abstract The aim of this study was to characterize the production systems and milk quality of eight milk production units (MPU) in the semiarid region of the state of Ceará, Brazil. Individual interviews were conducted through a questionnaire on the characteristics of the properties and production systems. Samples of milk and water were collected for a period of 12 months. Four MPUs were classified as semi-specialized and four as non-specialized. No differences were observed in milk composition between the two production systems, and both showed protein, fat, and solids-not-fat levels. Differences were observed for somatic cell count. The semi-specialized systems showed an average somatic cell and total bacterial count which is above the limit established by the 62nd Normative Instruction. All water samples showed presence of Escherichia coli. Somatic cell count was positively correlated (fat) and negatively (lactose). For total bacterial count, correlations were negative for fat, total solids, and somatic cell count. The microbiological quality of milk is not in accordance with the 62st and 7th Normative Instructions. The specialization of the production systems did not result in improved microbiological aspects of milk.


Author(s):  
Inge-Marié Petzer ◽  
Joanne Karzis ◽  
Edward F. Donkin ◽  
Edward C. Webb ◽  
Eric M.C. Etter

The objective of the study was to establish an operational somatic cell count (SCC) threshold to predict the presence of intramammary infection (IMI) in composite milk samples and compare findings with those in quarter milk samples. South African dairy producers now preferred composite milk samples for herd udder health analysis because of increasing cow numbers, convenience of sampling and lower cost. A retrospective study was conducted on 345 461 composite and 89 638 quarter milk samples from South African herds. Variance estimates for the proportion of quarter samples testing positive were adjusted to account for the lack of their independence within individual cows. The IMI at SCC thresholds of 150 000 cells/mL and 200 000 cells/mL differed only by 3.26% in composite milk samples. Youden’s index indicated the optimum SCC thresholds for composite and quarter milk samples as 150 000 cells/mL and 200 000 cells/mL, respectively. At 150 000 cells/mL, sensitivity (95% confidence intervals [CI]) in composite milk samples was 65.3% (64.0%, 66.6%) and specificity was 66.8% (65.7%, 67.9%); and in quarter milk samples, sensitivity at 200 000 cells/ mL was 70.8% (69.5%, 72.0%) and specificity was 63.6% (62.4%, 64.8%). The likelihood of infection for udders and quarters, respectively, was 1.034 and 1.327 at an SCC threshold of 150 000 cells/mL and 0.864 cells/mL and 1.177 cells/mL at 200 000 cells/mL. The area under the curve of the receiver operating characteristics graph was 0.7084 and 0.7277 for composite and quarter samples, respectively, indicating that the SCC test could be considered as a good indicator of IMI in both sample types.


2018 ◽  
Vol 47 (0) ◽  
Author(s):  
Rodrigo Cesar dos Reis Tinini ◽  
Maximiliane Alavarse Zambom ◽  
Marcel Moreira de Brito ◽  
Daniele Cristina da Silva Kazama ◽  
Cibele Regina Schneider ◽  
...  

2006 ◽  
Vol 89 (10) ◽  
pp. 4083-4093 ◽  
Author(s):  
D.P. Berry ◽  
B. O’Brien ◽  
E.J. O’Callaghan ◽  
K.O. Sullivan ◽  
W.J. Meaney

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