A COMPARISON OF INDIRECT METHODS FOR DIAGNOSIS OF SUBCLINICAL INTRAMAMMARY INFECTION IN LACTATING DAIRY-COWS .3. PREDICTION OF THE INCIDENCE OF INFECTIONS AND THE CRITICAL THRESHOLD VALUE FOR SOMATIC CELL-COUNT FROM THE HERDS BULK MILK SOMATIC CELL-COUNT

Citation
Rj. Holdaway et al., A COMPARISON OF INDIRECT METHODS FOR DIAGNOSIS OF SUBCLINICAL INTRAMAMMARY INFECTION IN LACTATING DAIRY-COWS .3. PREDICTION OF THE INCIDENCE OF INFECTIONS AND THE CRITICAL THRESHOLD VALUE FOR SOMATIC CELL-COUNT FROM THE HERDS BULK MILK SOMATIC CELL-COUNT, Australian Journal of Dairy Technology, 51(2), 1996, pp. 79-82
Citations number
8
Categorie Soggetti
Agriculture Dairy & AnumalScience","Food Science & Tenology
ISSN journal
00049433
Volume
51
Issue
2
Year of publication
1996
Pages
79 - 82
Database
ISI
SICI code
0004-9433(1996)51:2<79:ACOIMF>2.0.ZU;2-5
Abstract
Bacterial status and somatic cell count were measured for 30 cows in e ach of 15 herds, and data for the three herds described in a previous paper were also included. The relationships between prevalence of infe ction, estimated bulk milk somatic cell count (EBMSCC) and the critica l threshold for the somatic cell count were examined. Log(10) EBMSCC w as closely correlated to the percentage of quarters infected by major pathogens (r(2) = 0.71) and by major and minor pathogens (r(2) = 0.85) . The corresponding correlations with percentage of cows infected were lower (r(2) < 0.56). The critical threshold for the somatic cell coun t was correlated to the percentage of quarters infected by minor patho gens and by streptococci (r(2) = 0.52), but correlation with other mea sures of infection prevalence were lower. However, when one herd with a high incidence of Streptococcus agalactiae was excluded, the critica l threshold value was closely correlated with EBMSCC (r(2) = 0.76) and the critical threshold could be predicted reliably by a model which i ncluded EBMSCC, cow age and stage of lactation, (r(2) = 0.84). Use of the herd's critical threshold value resulted in a large decrease (x 0. 5) in the number of false positive diagnoses, but a large increase (x 2.0) in the number of false negative diagnoses, compared with the use of 250,000 cells/mL as a set value for the threshold. The data suggest that for the majority of herds, critical threshold for SCC can be pre dicted reliably from the herds EBMSCC. It can then be used to estimate the economic threshold value which is best-suited for each particular application within the mastitis control program.