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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

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

Hanus O.,Agriresearch Rapotin | Gencurova V.,Research Institute for Cattle Breeding Rapotin | Kopec T.,Svaz Chovatelu Ceskeho Strakateho Skotu | Yong T.,Anhui Agricultural University | Janu L.,Research Institute for Cattle Breeding Rapotin
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2010

Routine milk analyses using the efficient indirect infra-red method are important for the milk food chain quality. The reliability of the results depends on the calibration quality. It is important to use a relevant set of reference calibration samples (RCSs). RCSs with right range of values can be prepared using various methods. This paper was aimed to balance the impacts of dilution for decrease of main components in RCSs because of minimal change of matrix interference effects. Cow milk samples (MSs) were diluted (4/1) using distilled water, NaCl solution and a solution with specific composition (SC; because of disturbance in the balance of the milk matrix (NaCl 1.145; KCl 0.849; K2HPO4 1.8463; citric acid 1.7; urea 0.3 g/l)) for reduction in main milk components. Fat (F), crude protein (CP), lactose (L), milk freezing point (MFP), osmolality (OS) and electrical conductivity (EC) were measured in all (original as well as modified) MSs. The lowest MFP and OS were in the original milk -0.5559 °C and 274.5 mOsmol/kg. The MFP was increased to -0.4369 °C and osmolality decreased to 217.83 mOsmol/kg by the addition of water. The MFP was decreased (-0.4903 °C) and returned to original milk value by the addition of NaCl solutin. MFP was -0.4788 °C due to SC addition. The decrease was less than for NaCl. The ability of other SC components (K2HPO4, KCl, citric acid and urea) to MFP decrease is less than for NaCl solution. EC was highest for NaCl set 4.69 mS/cm, EC for SC was 4.48 mS/cm (P < 0.001). The original MSs set showed EC 4.27 mS/cm. The SC was the nearest to original MSs in terms of total mineral composition. ECs for both modifications differed (P < 0.001) from original MSs. The procedure is applicable for balance of interference effects of milk matrix because of relevant calibration. Source

Agency: Cordis | Branch: FP7 | Program: BSG-SME | Phase: KBBE.2011.1.3-06 | Award Amount: 3.94M | Year: 2012

The Gene2Farm project will address the needs of the cattle industry, in particular of the SMEs and end users, for an accessible, adaptable and reliable system to apply the new genomic knowledge to underpin sustainability and profitability of European cattle farming. Gene2Farm will undertake a comprehensive programme of work from statistical theory development, through genome sequencing, to address new phenotyping approaches and the construction of tools, that will be validated in conjunction with SMEs and industry partners. Advanced statistical theory and applications will use the genomic and phenotypic information to optimise and customise genomic selection, breeding and population management and between breed predictions. The project will sequence key animals and exchange data with other international projects to create the most comprehensive bovine genome sequence database. Detailed analysis of these genome sequences will define genome structure, shared alleles, frequencies and historic haplotypes, within and between populations. This information will be used to optimise the informativeness of SNP panels and select SNPs to tag haplotypes, and hence ensure that genotype information can be used within and between breeds. The project will explore the opportunities for extended phenotypic collection, including the use of automated on farm systems and will develop standardisation protocols that, in consultation with ICAR, could be used by the industry for data collection and management. Developed tools will be tested and validated by demonstration in collaboration with dairy, dual purpose, beef and minority breed organisations. Finally a dissemination programme will ensure that training needs of the industry are served from an entry level training programme for farmers to advanced summer schools for the SMEs and expert user community.

Kucera J.,Svaz Chovatelu Ceskeho Strakateho Skotu | Kopec T.,Svaz Chovatelu Ceskeho Strakateho Skotu | Yong T.,Anhui Agricultural University | Hanus O.,Research Institute for Cattle Breeding Rapotin | Kopecky J.,Agriresearch Rapotin
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2010

Based on the linear type classification of 49 246 young cows of the Czech Fleckvieh breed the overall udder score was proposed. Calculation of the overall udder score is derived from the particular type traits, especially from those traits, where the optimal development is not scored by maximum. Cubic regression coefficients were used for recalculation and obtained a new scale for traits such as udder depth, teat length, teat thickness, teat position and teat placement. These re-calculated traits together with other particular traits described on the udder were combined to the model for overall udder score - model 1. In the model 2 the same proportion of the particular traits was used with restriction by extreme development of the udder dept, where two different levels of penalization (-3 and -6 points) were used. Both models were compared with the current used system, where the -x = 77.1, s = 5.22; for model -x = 84.94 (s = 2.65); for model 2 -x = 84.40, s = 2.74. In both proposed models the distribution of the overall score for udder showed significantly smooth distribution, than in current system. The coefficient of correlation between current system and new proposals reached r = 0.799. Estimated breeding values for new models decreased from x = 0.199, s = 0.946 by the current used system, to -x = 0.087 for model 1, -x = 0.089 for model 2 respectively. Also the variability of the breeding values decreased. Estimated coefficients of heritability also decreased from 0.22 by the current system to 0.15 by the model 1 and 0.15 by the model 2, respectively. Source

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