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 ◽  
...  

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.

10.5219/1099 ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 675-680 ◽  
Author(s):  
Viera Ducková ◽  
Margita Čanigová ◽  
Peter Zajác ◽  
Zuzana Remeňová ◽  
Miroslav Kročko ◽  
...  

The aim of this work was to compare somatic cell count in milk used for making steamed cheese Parenica in Slovak industrial dairies and small farm dairies and to find out whether somatic cell counts in milk affect the dry matter content of Parenica cheese. The samples of raw milk were taken from 3 industrial dairies (A, B, C) and from 3 farm dairies (E, F, G), produced traditional Slovak cheese Parenica in period from January untill December 2018. The somatic cell count in milk was determined by FossomaticTM 5000 (Foss, Denmark) and dry matter of cheese by oven drying method to constant weight. There were no statistically significant differences (p >0.05) for somatic cell counts in milk processed in industrial and farm dairies. Lower somatic cell counts were determined in milk amples from industrial dairies (mean value 326.55 thousand in 1 mL) in comparison to milk samples from farm dairies (mean value 507.67 thousand in 1 mL). Statistically lower dry matter content (p <0.01) in the samples of Parenica cheese was found out in farm dairy E in comparison to other dairies. The relationship between somatic cell count in milk and dry matter in cheese was confirmed by the relatively low correlation coefficients in dairies, A = 0.22; C = 0.15 and F = -0.12 and higher correlation coefficients in dairies, B = -0.32; D = 0.45 and E = -0.48. Obtaining a more accurate effect of somatic cell count on cheese quality requires the continuation of the research on a larger number of samples and consideration of other factors.


2002 ◽  
Vol 65 (5) ◽  
pp. 864-866 ◽  
Author(s):  
R. OLISZEWSKI ◽  
M. S. NÚÑEZ de KAIRÚZ ◽  
S. N. GONZÁLEZ de ELIAS ◽  
G. OLIVER

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 (&lt;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.


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 ◽  
...  

2011 ◽  
Vol 100 (1) ◽  
pp. 67-71 ◽  
Author(s):  
Maiara G. Blagitz ◽  
Fernando N. Souza ◽  
Viviani Gomes ◽  
Alice M.M.P. Della Libera

1993 ◽  
Vol 76 (4) ◽  
pp. 1035-1039 ◽  
Author(s):  
E.A. Droke ◽  
M.J. Paape ◽  
A.L. Di Carlo

2002 ◽  
Vol 2002 ◽  
pp. 19-19
Author(s):  
R. A. Mrode ◽  
G. J. T. Swanson

Currently, genetic evaluations in the United Kingdom for somatic cell count (SCC) are based on a single trait repeatability animal model (AM). A test day model (TDM), which allows for improved correction of environmental effects and the modelling of the individual lactation curve of each cow (Schaeffer and Dekkers, 1994), would be the preferred method of choice. In an attempt to reduce costs, farmers are opting for cheaper milk recording schemes, such as bimonthly recording. Bimonthly schemes might miss short frequency mastitis infection and it is not clear what effect this might have on evaluations for SCC. The objective of this paper is to report preliminary evaluations for SCC using a TDM and to evaluate the effect of bimonthly recording on such evaluations.


2008 ◽  
Vol 75 (2-3) ◽  
pp. 247-251 ◽  
Author(s):  
A. Contreras ◽  
R.E. Miranda ◽  
A. Sánchez ◽  
C. de la Fe ◽  
D. Sierra ◽  
...  

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