scholarly journals Apoptosis and necrosis of polymorphonuclear leukocytes in goat milk with high and low somatic cell counts

2011 ◽  
Vol 100 (1) ◽  
pp. 67-71 ◽  
Author(s):  
Maiara G. Blagitz ◽  
Fernando N. Souza ◽  
Viviani Gomes ◽  
Alice M.M.P. Della Libera
Keyword(s):  
Somatic Cell ◽  
Polymorphonuclear Leukocytes ◽  
Goat Milk ◽  
Somatic Cell Counts ◽  
Cell Counts ◽  
Apoptosis And Necrosis

scholarly journals Goat Milk Nutritional Quality Software-Automatized Individual Curve Model Fitting, Shape Parameters Calculation and Bayesian Flexibility Criteria Comparison

Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1693 ◽  
Author(s):  
María Gabriela Pizarro Inostroza ◽  
Francisco Javier Navas González ◽  
Vincenzo Landi ◽  
Jose Manuel León Jurado ◽  
Juan Vicente Delgado Bermejo ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Dry Matter ◽  
Model Comparison ◽  
Minimum Mean Square Error ◽  
Goat Milk ◽  
Individual Performance ◽  
Information Criteria ◽  
Somatic Cell Counts ◽  
Cell Counts ◽  
The Individual

SPSS syntax was described to evaluate the individual performance of 49 linear and non-linear models to fit the milk component evolution curve of 159 Murciano-Granadina does selected for genotyping analyses. Peak and persistence for protein, fat, dry matter, lactose, and somatic cell counts were evaluated using 3107 controls (3.91 ± 2.01 average lactations/goat). Best-fit (adjusted R2) values (0.548, 0.374, 0.429, and 0.624 for protein, fat, dry matter, and lactose content, respectively) were reached by the five-parameter logarithmic model of Ali and Schaeffer (ALISCH), and for the three-parameter model of parabolic yield-density (PARYLDENS) for somatic cell counts (0.481). Cross-validation was performed using the Minimum Mean-Square Error (MMSE). Model comparison was performed using Residual Sum of Squares (RSS), Mean-Squared Prediction Error (MSPE), adjusted R2 and its standard deviation (SD), Akaike (AIC), corrected Akaike (AICc), and Bayesian information criteria (BIC). The adjusted R2 SD across individuals was around 0.2 for all models. Thirty-nine models successfully fitted the individual lactation curve for all components. Parametric and computational complexity promote variability-capturing properties, while model flexibility does not significantly (p > 0.05) improve the predictive and explanatory potential. Conclusively, ALISCH and PARYLDENS can be used to study goat milk composition genetic variability as trustable evaluation models to face future challenges of the goat dairy industry.

Assessment of β-Glucuronidase Levels in Goat's Milk as an Indicator of Mastitis: Comparison with Other Mastitis Detection Methods

2002 ◽  
Vol 65 (5) ◽  
pp. 864-866 ◽  
Author(s):  
R. OLISZEWSKI ◽  
M. S. NÚÑEZ de KAIRÚZ ◽  
S. N. GONZÁLEZ de ELIAS ◽  
G. OLIVER
Keyword(s):  
Mammary Gland ◽  
Somatic Cell ◽  
Goat Milk ◽  
Detection Methods ◽  
Somatic Cell Counts ◽  
California Mastitis Test ◽  
Glucuronidase Activity ◽  
Cell Counts ◽  
Secretion Process ◽  
Low Levels

The use of somatic cell counts (SCCs) for the diagnosis of mastitis is not a well-established procedure for the caprine species, because nonleucocytic cell-like particles are normally observed as a result of the apocrine secretion process of the goat mammary gland. The infection levels of 124 goats were measured by the β-glucuronidase test, which was compared with the SCC method and the California mastitis test (CMT). Seventy-nine of 124 samples (63.7%) showed SCCs lower than 1.3 × 103 cells per ml. Of these samples, 93% showed low levels of β-glucuronidase activity (<15 U/ml). In the remaining 36.3% of the samples, SCCs were higher than 1.3 × 103 cells per ml. Of these samples, 88% showed high levels of β-glucuronidase activity (15 to 100 U/ml). The CMT gave similar results. In this study, the β-glucuronidase test was standardized for goat milk and shown to be reliable, enabling one to count only the somatic enzyme cells in milk and avoiding the interference encountered with the SCC method.

Characteristics of Korean-Saanen goat milk caseins and somatic cell counts in comparison with Holstein cow milk counterparts

2010 ◽  
Vol 93 (2-3) ◽  
pp. 202-205 ◽  
Author(s):  
J.-S. Ham ◽  
S.-G. Lee ◽  
S.-G. Jeong ◽  
M.-H. Oh ◽  
D.-H. Kim ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Goat Milk ◽  
Cow Milk ◽  
Saanen Goat ◽  
Somatic Cell Counts ◽  
Holstein Cow ◽  
Cell Counts

scholarly journals Prevalence of High Somatic Cell Counts in Bulk Tank Goat Milk

1993 ◽  
Vol 76 (4) ◽  
pp. 1035-1039 ◽  
Author(s):  
E.A. Droke ◽  
M.J. Paape ◽  
A.L. Di Carlo
Keyword(s):  
Somatic Cell ◽  
Goat Milk ◽  
Somatic Cell Counts ◽  
Cell Counts ◽  
Bulk Tank

Presence of Mycoplasma species and somatic cell counts in bulk-tank goat milk

2008 ◽  
Vol 75 (2-3) ◽  
pp. 247-251 ◽  
Author(s):  
A. Contreras ◽  
R.E. Miranda ◽  
A. Sánchez ◽  
C. de la Fe ◽  
D. Sierra ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Goat Milk ◽  
Mycoplasma Species ◽  
Somatic Cell Counts ◽  
Cell Counts ◽  
Bulk Tank

Factors affecting somatic cell counts in goat milk

1992 ◽  
Vol 8 (1-2) ◽  
pp. 129-139 ◽  
Author(s):  
C. Lerondelle ◽  
Y. Richard ◽  
J. Issartial
Keyword(s):  
Somatic Cell ◽  
Goat Milk ◽  
Factors Affecting ◽  
Somatic Cell Counts ◽  
Cell Counts

Comparative study of the effects of testing laboratory, counting method, storage and shipment on somatic cell counts in goat milk

1999 ◽  
Vol 31 (2) ◽  
pp. 103-107 ◽  
Author(s):  
S.S Zeng ◽  
E.N Escobar ◽  
S.P Hart ◽  
L Hinckley ◽  
M Baulthaus ◽  
...  
Keyword(s):  
Comparative Study ◽  
Somatic Cell ◽  
Goat Milk ◽  
Counting Method ◽  
Testing Laboratory ◽  
Somatic Cell Counts ◽  
Cell Counts
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