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Vikýřovice, Czech Republic

Hanus O.,Research Institute for Cattle Breeding Rapotin | Samkova E.,Jihoceska Univerzita Ceske Budejovice | Spicka J.,Jihoceska Univerzita Ceske Budejovice | Sojkova K.,AgroResearch Rapotin | And 4 more authors.
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2010

Groups of fatty acids (FAs) in milk fat can have positive and negative impact on consumer health. Profile of FAs could be influenced by dairy cow nutrition, breed, milk yield level et cetera. The question is what relationships the FAs could have to quality of milk products? Relationships between FAs and their groups to selected milk indicators were studied in Czech Fleckvieh and Holstein cows (64 bulk milk samples). There were 8 herds in 2-year investigation during winter and summer season. The relationship of saturated FAs (SAFA; 66.22%) was significant only to lactose (L) content (0.290; P < 0.05). The relationships of monounsaturated FAs (MUFA; 29.21%) to milk indicators (MIs) were insignificant (P > 0.05). The relationships of polyunsaturated FAs (PUFA, beneficial for consumer health; 4.53%) to MIs were narrower: fat (T, 0.321; P < 0.05); lactose (L, 0.458; P < 0.01); milk alcohol stability (AL, 0.447; P < 0.01); titration acidity (SH, 0.342; P < 0.01); cheese curd quality (KV, 0.427; P < 0.01); milk fermcntationability (JSH, 0.529; P < 0.001), streptococci count in yoghurt (Strepto, 0.316; P < 0.05); total count of noble bacteria in yoghurt (CPMUK, 0.314; P < 0.05); streptococci/lactobacilly ratio (StreptoLacto, 0.356; P < 0.01). The relationships of conjugated linoleic acid (CLA; markedly beneficial for health; 0.68%) to MIs were: T (0.379; P < 0.01); L (-0.542; P < 0.001); AL (0.266; P < 0.05); KV (0.411; P < 0.01); Strepto (0.260; P < 0.05); StreptoLacto (0.270; P < 0.05). The higher CLA levels were connected in this way with: higher fat content; lower lactose content; lower alcohol stability; lower streptococci count in yoghurt; lower streptococci/lactobacilly ratio in yoghurt. The PUFA and CLA representation decreased with L increase. Simultaneously some technological milk properties such as alcohol stability and fermentationability were slightly improved. Source

Cermanova I.,AgroResearch Rapotin | Hanus O.,Research Institute for Cattle Breeding Rapotin | Roubal P.,Dairy Research Institute | Vyletelova M.,Research Institute for Cattle Breeding Rapotin | And 4 more authors.
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2011

Organic dairying is an alternative for friendly exploitation of environment. This paper was focused on impacts of organic dairying on milk composition and properties. The conventional (C) cow milk was compared to organic (O) milk. Holstein bulk milk samples (BMSs) from winter and summer season in 4 C and 4 O (n = 32 and 32 BMSs; 2 years) herds were investigated. 6 herds were grazed and 2 C herds were not grazed. Mean O cow milk yield (MY, 305 lactation days) was 7037.3 ± 421.5 and C MY 7015.8 ± 1068.1 kg. Higher values (P < 0.05) in O milk had: log acetone (0.7321 > 0.6048); titration acidity (8.34 > 7.82 ml 0.25 mol.l-1 NaOH); alcohol stability (0.6 > 0.44 ml); time for enzymatic coagulation (150.75 > 115.03 second); whey protein (0.54 > 0.49%); fat/crude protein (1.2 > 1.15); milk fermentation ability (FAM) by titration (31.45 > 22.18 ml 0.25 mol.l-1 NaOH). Lower values (P < 0.05) in O milk had: solids-not-fat (8.64 < 8.73%); urea content (19.91 < 29.03 mg.100ml-1); electrical conductivity (3.66 < 4.08 mS.cm-1); whey volume (32.03 < 34.53 ml); crude protein (3.16 < 3.25%); casein (2.47 < 2.58%); non-protein nitrogen compounds (0.15 < 0.18%); urea nitrogen in non-protein nitrogen ratio (40.81 < 49.0%); casein numbers for crude protein and true protein (78.12 < 79.58 and 81.99 < 84.11%); coli bacteria count in normal and logarithm form (330.56 < 1502.92 CFU.ml-1 and 1.484 < 2.5823); actual yoghurt acidity (4.71 < 4.8). O cows suffered probably from lower energy and nitrogen compounds intake due to feeding under mentioned conditions. O milk could be a little better environment for yoghurt cultivation. Source

Hanus O.,AgroResearch Rapotin | Vyletelova M.,AgroResearch Rapotin | Tomaska M.,Dairy Research Institute | Samkova E.,Jihoceska Univerzita Ceske Budejovice | And 3 more authors.
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2011

Values of milk indicators (Mis) can be influenced by sampling errors and milk manipulation. This paper estimated the freezing point depression (FPD) and other MIs drifts which can cause fat movement. That is important for: - preparation of reference milk samples (MSs) for proficiency testing and instrument calibrations; - estimation of the impact of milk treatment as centrif ugation in dairy plants on FPD. Five MSs (A = original milk; milk with modified fat (F) content; B = less F, C = low F, D = more F, E = high F) were created (gravitation F separation at 4 °C for 12 hours) with the same milk matrix 12x per year. F averages increased by 4.80% (122.1%) from 1.68 to 6.48% due to manipulation. It increased variability of MIs especially for SNF (solids non fat), L (lactose) and CP (crude protein). SCC (somatic cell count) averages increased by 803 (196.8%) from 9 to 812 thousand.ml-1 Correlation (r) F × SCC was 0.85 (P < 0.001). SNF, L and CP averages decreased by 0.47% (5.3%), 0.31% (6.3%) and 0.17% (5.0%). Correlations were -0.78, -0.75 and -0.64 (P < 0.001). Urea decreased along with Fincrease by 1.05 mg.100ml -1 (2.9%) but with r -0.13 (P > 0.05). Acetone increased by 1.37 mg.l-1 (47.6%) with r 0.21 (P > 0.05). Electrical conductivity decreased by 0.23 mS.cm-1(6.0%) with r -0.15 (P > 0.05). Alcohol stability was reduced by 0.14 ml (23.3%) with r -0.15 (P > 0.05). FPD, titration and actual acidity were not influenced. Source

Hanus O.,Research Institute for Cattle Breeding Rapotin | Janu L.,Research Institute for Cattle Breeding Rapotin | Schuster J.,Landeskontrollverband Sachsen Anhalt | Kucera J.,Svaz Chovatelu Ceskeho Strakateho Skotu | And 2 more authors.
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2011

A consistent link of the raw milk quality (RMQ) to the farmer price is essential. The aim was to analyse the properties of milk quality indicators (MQIs) and propose a new synthetic relative MQI (SQSM) from among various individual MQIs. SQSM could serve for consistent inclusion each quality change into the price. The paper was focused on exploratory analysis (normality (N) testing of files of MQIs). On the basis of the results, the MQIs were divided into two groups without and with necessity of original data transformation (TRN). Log and Box-Cox TRNs were tested in terms of possibilities of the files approach to the normal data frequency distribution (FD). The compositional MQIs deviated less and health and hygienic MQIs more from normal FD in original data (P < 0.05). The TRNs approached the data files to N very markedly in health and hygienic MQIs. The synthesis of various values of MQIs into SQSM was proposed. SQSM values were derived from model file of real data about MQIs and validated for use at farmer milk price modifications by the normality FD test. 33.3% of month SQSM files were normal (P > 0.05), the other were very close to the N with negligible deviations. The useability of the SQSM system for the balancing of raw milk purchase price premiums and penalties was tentatively confirmed. Source

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