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Artykuły w czasopismach na temat "Somatic cell count"
Harding, B. "Somatic cell count campaign". Veterinary Record 136, nr 3 (21.01.1995): 78. http://dx.doi.org/10.1136/vr.136.3.78-a.
Pełny tekst źródłaWojdak-Maksymiec, K., M. Kmiec i J. Ziemak. "Associations between bovine lactoferrin gene polymorphism and somatic cell count in milk". Veterinární Medicína 51, No. 1 (19.03.2012): 14–20. http://dx.doi.org/10.17221/5512-vetmed.
Pełny tekst źródłaLINTNER, T. J., A. L. LANGE, C. W. HEALD i R. J. EBERHART. "Preparation and Use of Somatic Cell Count Samples (SCCS) for Comparison of Milk Somatic Cell Counting Methods". Journal of Food Protection 50, nr 2 (1.02.1987): 132–35. http://dx.doi.org/10.4315/0362-028x-50.2.132.
Pełny tekst źródłaDunham, James R. "Using the somatic cell count report". Kansas Agricultural Experiment Station Research Reports, nr 2 (1.01.1996): 13–16. http://dx.doi.org/10.4148/2378-5977.3250.
Pełny tekst źródłaAlbenzio, M., L. Figliola, M. Caroprese, R. Marino, A. Sevi i A. Santillo. "Somatic cell count in sheep milk". Small Ruminant Research 176 (lipiec 2019): 24–30. http://dx.doi.org/10.1016/j.smallrumres.2019.05.013.
Pełny tekst źródłaDeluyker, H. A., J. M. Gay i L. D. Weaver. "Interrelationships of Somatic Cell Count, Mastitis, and Milk Yield in a Low Somatic Cell Count Herd". Journal of Dairy Science 76, nr 11 (listopad 1993): 3445–52. http://dx.doi.org/10.3168/jds.s0022-0302(93)77683-3.
Pełny tekst źródłaSchukken, Ynte H., K. E. Leslie, A. J. Weersink i S. W. Martin. "Ontario Bulk Milk Somatic Cell Count Reduction Program. 2. Dynamics of Bulk Milk Somatic Cell Counts". Journal of Dairy Science 75, nr 12 (grudzień 1992): 3359–66. http://dx.doi.org/10.3168/jds.s0022-0302(92)78112-0.
Pełny tekst źródłaDucková, Viera, Margita Čanigová, Peter Zajác, Zuzana Remeňová, Miroslav Kročko i Ľudmila Nagyová. "Effect of somatic cell counts occurred in milk on quality of Slovak traditional cheese – Parenica". Potravinarstvo Slovak Journal of Food Sciences 13, nr 1 (28.08.2019): 675–80. http://dx.doi.org/10.5219/1099.
Pełny tekst źródłaRysanek, D., V. Babak i M. Zouharova. "Bulk tank milk somatic cell count and sources of raw milk contamination with mastitis pathogens". Veterinární Medicína 52, No. 6 (7.01.2008): 223–30. http://dx.doi.org/10.17221/1878-vetmed.
Pełny tekst źródłaFauteux, V., E. Bouchard, D. Haine, D. T. Scholl i J. P. Roy. "Prediction of bulk tank somatic cell count violations based on monthly individual cow somatic cell count data". Journal of Dairy Science 98, nr 4 (kwiecień 2015): 2312–21. http://dx.doi.org/10.3168/jds.2014-7965.
Pełny tekst źródłaRozprawy doktorskie na temat "Somatic cell count"
Larson, Ann Michelle. "Selection for milk somatic cell count in laboratory mice". Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/44079.
Pełny tekst źródłaA bidirectional selection experiment for high and low somatic cell count (SCC) was conducted over 14 generations with two selected lines (high line = HSCC, low line = LSCC) of mice. Seven secondary traits (milk yield, total white blood cell count, percentage of phagocytic cells in blood, endotoxin challenge response, percentage of females littering, number of young born alive, and percentage of young surviving to weaning) were measured to examine correlated responses to selection for SCC.
Average response per generation for log2 SCC was small in both selected lines (HSCC = .0678 ±.0341, LSCC = .0384 ± .0390, P > .05). There was little per generation divergence between the selected lines (.0294 ± .0178, P > .05). Genetic and phenotypic selection differentials indicated that selection procedures did select the more extreme individuals for SCC, even though response to selection was poor.
Phenotypic correlations among SCC and the seven secondary traits were generally small, and near zero. Correlation coefficients ranged from -.17 to .17. Milk yield was negatively correlated with SCC (-.07, P < .05). The correlation between endotoxin challenge response and SCC was also negative (-.17, P < .05).
Components of genetic variance for SCC were estimated to explain the lack of selection response. Covariances between daughter and dam, and among full sibs were negative (-.1180 and -.0362, respectively). Analysis for offspring and maternal components for SCC yielded a negative estimate for the covariance between additive effects for the offspring and maternal components (-.1781). No biological explanation can be offered for its existence. Heritability from this same analysis was .05.
Master of Science
Broaddus, Brent A. "IMPACT OF SEASON AND HEAT STRESS ON SOMATIC CELL COUNTS". UKnowledge, 2001. http://uknowledge.uky.edu/gradschool_theses/180.
Pełny tekst źródłaRogers, Sheryle Ann. "The influence of somatic cell count on milk composition and milk product quality". Thesis, Queensland University of Technology, 1986. https://eprints.qut.edu.au/35983/1/35983_Rogers_1986.pdf.
Pełny tekst źródłaArcher, Simon C. "Influence of somatic cell count in heifers on lifetime milk yield and disease management". Thesis, University of Nottingham, 2013. http://eprints.nottingham.ac.uk/13747/.
Pełny tekst źródłaGreen, Martin Jeremy. "Clinical mastitis in dairy cows : studies of bacterial ecology and somatic cell count patterns". Thesis, University of Warwick, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404860.
Pełny tekst źródłaRoveglia, Chiara. "Genetic and phenotypic aspects of production, conformation and somatic cell count traits in Italian Jersey cattle". Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426342.
Pełny tekst źródłaLa razza Jersey Italiana (IJ) è apprezzata per la sua efficienza e l’alta qualità del suo latte all’interno del contesto lattiero-caseario nazionale. L'obiettivo generale della presente tesi è la caratterizzazione fenotipica e genetica della produzione di latte, della morfologia e della conta di cellule somatiche della JI al fine di fornire alcuni strumenti utili per migliorare l’attuale indice di selezione della popolazione (Indice Qualità Jersey, IQJ). Nel primo capitolo si confermano le peculiarità fenotipiche del latte di JI, ovvero un alto contenuto di grasso (5.18%), proteina (4.08%) e caseina (3.16%), che lo rendono adatto alla trasformazione casearia. Il valore medio di punteggio di cellule somatiche (SCS) è risultato piuttosto alto (3.35), il che suggerisce l’importanza di indirizzare gli sforzi verso una riduzione di questo valore attraverso il miglioramento del management aziendale e la selezione, diminuendo indirettamente la suscettibilità della JI alla mastite. In questo studio è stato investigato anche il contenuto di urea del latte di JI quale indicatore di efficienza alimentare. Nel secondo capitolo sono state stimate ereditabilità pari a 0.14, 0.21, 0.26, 0.24, 0.20 e 0.10 rispettivamente per la produzione di latte, il contenuto di grasso, proteina, caseina, lattosio e SCS nel latte di bovine IJ. Le correlazioni genetiche tra SCS e i costituenti del latte sono risultate negative, e la più forte è stata stimata tra SCS e la percentuale di lattosio (-0.30). Il terzo capitolo ha stimato i parametri genetici di 20 caratteri morfologici in primipare di JI, includendo nuovi caratteri di rilievo funzionale ed economico, come la locomozione. Anche se le ereditabilità stimate per i caratteri morfologici sono risultate generalmente basse o moderate (da 0.04 a 0.32), la variabilità genetico-additiva ha suggerito la possibilità di intervenire con la selezione per migliorare geneticamente alcuni aspetti funzionali della razza. Le correlazioni più forti sono state stimate tra il punteggio di locomozione e i caratteri legati ad arti e piedi, ma anche tra punteggio di locomozione e la posizione dei capezzoli anteriori (0.97) e posteriori (0.88), suggerendo che un miglioramento della conformazione della mammella è associato a un potenziale perfezionamento della locomozione. Nel quarto capitolo sono stati definiti quattro caratteri alternativi derivati dalla conta di cellule somatiche (SCC) nel latte di JI rilevata nel corso dei controlli funzionali routinari (test-day, TD): 1) la media di TD SCS nei primi 150 giorni di lattazione; 2) la deviazione standard delle SCS nell’intera lattazione; 3) un carattere binario che indica l’assenza (0) o la presenza (1) di almeno un valore di TD SCC >400.000 cellule/mL nell’intera lattazione (Infezione); e 4) il rapporto tra il numero di TD SCC >400.000 cellule/mL e il numero totale di TD nell’intera lattazione (Severità). Sono stai stimati i parametri genetici di questi 4 caratteri alternativi delle SCC e le correlazioni genetiche gli aspetti produttivi e la morfologia della mammella. I risultati hanno mostrato la presenza di varianze genetiche ed ereditabilità dei caratteri alternativi delle SCC potenzialmente sfruttabili per migliorare la resistenza alla mastite. Infine, nel quinto capitolo sono stati stimati i valori economici (VE) delle SCS con due metodi differenti e in base al sistema pagamento latte-qualità di due caseifici italiani che producono Grana Padano. Tra i due metodi, quello basato sulla somma delle frequenze di ogni livello di SCS moltiplicato per la rispettiva penalità si è rivelato più penalizzante. Il sistema pagamento latte–qualità del caseificio 1 è risultato più rigido rispetto al caseificio 2. L’aumento delle penalità per livelli alti di SCS nel latte incentiva maggiormente ad includere SCS nell’indice di selezione della JI.
Testa, F. "INFLUENCE OF ATMOSPHERIC TEMPERATURE AND RELATIVE HUMIDITY ON BULK MILK SOMATIC CELL COUNT IN DAIRY HERDS". Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/168080.
Pełny tekst źródłaMartinkus, Nerijus. "Karvių melžimo operacijų įtaka somatinių ląstelių skaičiui piene". Master's thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080318_142138-89478.
Pełny tekst źródłaData were collected from two dairy farms. On the farm A cows were milked using full automatised milking equipment „Milkmaster“. On the farm B cows were milked with „Interpuls“ milking equipment. The DeLaval milking system was supplied with automatic cluster remover. On dairy farms A and B cows were milked twice daily. The goal of our studies was to analyse consumption of main milking operations (cow udder preparation before milking, milking and over-milking) and their influence on milk somatic cell count. Were selected 20 cows in each farm. The duration of main milking procedures were recorded. Data on milk, fat and protein yields and somatic cell count were collected.The mean duration of pre-milking udder preparation was 42 s (farm A) and 46,03 s (farm B). Some cows were prepared only for 25,50 Afarm A) s, whereas the udder preparation comprised merely inadequate cleaning of teats. The maximum duration of over-milking was 41,10 (farm B).
Mazal, Guillaume. "Efeito da contagem de celulas somaticas do leite na fabricação do queijo prato". [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/255198.
Pełny tekst źródłaDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia de Alimentos
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Mestrado
Mestre em Tecnologia de Alimentos
Ekman, Torkel. "A study of dairy herds with constantly low or constantly high bulk milk somatic cell count, with special emphasis on management /". Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1998. http://epsilon.slu.se/avh/1998/91-576-5434-4.gif.
Pełny tekst źródłaKsiążki na temat "Somatic cell count"
Ryan-Purcell, Walter. A quick guide: Achieving and maintaining a low somatic cell count. Buttevant, Co. Cork: Dairy Hygiene Services, 1995.
Znajdź pełny tekst źródłaEkman, Torkel. A study of dairy herds with constantly low or constantly high bulk milk somatic cell count, with special emphasis on management. Uppsala: Sveriges Lantbruksuniversitet, 1998.
Znajdź pełny tekst źródłaUnited States. Animal and Plant Health Inspection Service. Veterinary Services. i National Animal Health Monitoring Service (U.S.), red. Bulk tank milk somatic cell counts and your milk quality assurance program. Fort Collins, Colo: U.S. Dept. of Agriculture, Animal and Plant Health Inspection Service, Veterinary Services, 1994.
Znajdź pełny tekst źródłaHow to control somatic cell counts: A practical and easy to use guide to mastitis - no 1. Leicestershire, England: Context Products Ltd., 2014.
Znajdź pełny tekst źródłaEast, Chantelle. The effectiveness of the California Mastitis Test as a means of estimating somatic cell counts at farm level. Dublin: University College Dublin, 1996.
Znajdź pełny tekst źródłaHutton, Catherine Trawatha. Investigation of management factors which influence the somatic cell count status of the herd. 1988.
Znajdź pełny tekst źródłaCzęści książek na temat "Somatic cell count"
Sivasangari, A., D. Deepa, R. M. Gomathi, P. Ajitha i S. Poonguzhali. "New IoT-Based Portable Microscopic Somatic Cell Count Analysis". W Data Intelligence and Cognitive Informatics, 113–19. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6004-8_10.
Pełny tekst źródłaRaboisson, D., E. Cahuzac, P. Sans i G. Allaire. "Factors influencing average herd somatic cell count in France in 2005 and 2006". W Udder Health and Communication, 344. Wageningen: Wageningen Academic Publishers, 2011. http://dx.doi.org/10.3920/978-90-8686-742-4_62.
Pełny tekst źródłaTsenkova, Roumiana, i Jelena Muncan. "Near-Infrared Spectroscopy: A New Diagnostic Tool for Determination of Somatic Cell Count". W Aquaphotomics for Bio-diagnostics in Dairy, 99–112. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7114-2_9.
Pełny tekst źródłaMijić, P., V. Gantner, T. Bobić i K. Kuterovac. "Variation of somatic cell count (SCC) of dairy cattle in conditions of Mediterranean region in Croatia". W Animal farming and environmental interactions in the Mediterranean region, 249–54. Wageningen: Wageningen Academic Publishers, 2012. http://dx.doi.org/10.3920/978-90-8686-741-7_31.
Pełny tekst źródłaAlbrechtsen, M., A. T. Duse, T. W. Bennedsgaard i I. C. Klaas. "Use of in-line measurements of somatic cell count to evaluate treatment efficacy of subclinical bovine Staphylococcus aureus mastitis". W Udder Health and Communication, 309–15. Wageningen: Wageningen Academic Publishers, 2011. http://dx.doi.org/10.3920/978-90-8686-742-4_55.
Pełny tekst źródłaTsenkova, Roumiana, i Jelena Muncan. "Measurement of Somatic Cell Count in the 700–1,100 nm Short Wavelength Region Using PLS Regression and Referenced Data". W Aquaphotomics for Bio-diagnostics in Dairy, 127–36. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7114-2_11.
Pełny tekst źródłaTsenkova, Roumiana, i Jelena Muncan. "Non-destructive Somatic Cell Count Measurement Using Near-Infrared Spectra of Milk in the 400–1,100 nm Short Wavelength Region". W Aquaphotomics for Bio-diagnostics in Dairy, 113–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7114-2_10.
Pełny tekst źródłaTsenkova, Roumiana, i Jelena Muncan. "Two-Dimensional Near-Infrared Correlation Spectroscopy of an Individual Cow’s Milk for Functional Study of Somatic Cell Count Changes in Milk". W Aquaphotomics for Bio-diagnostics in Dairy, 277–88. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7114-2_24.
Pełny tekst źródłaTsenkova, Roumiana, i Jelena Muncan. "Measurement of Somatic Cell Count in the 700–1,100 nm Short Wavelength Region: Comparison of At-Line and On-Line Measurement Modes". W Aquaphotomics for Bio-diagnostics in Dairy, 137–47. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7114-2_12.
Pełny tekst źródłaTsenkova, Roumiana, i Jelena Muncan. "Near-Infrared Spectra of Udder Quarter Foremilk for Measurement of Both Somatic Cell Count and Absolute Electrical Conductivity and for Diagnosis of Mastitis". W Aquaphotomics for Bio-diagnostics in Dairy, 223–34. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7114-2_20.
Pełny tekst źródłaStreszczenia konferencji na temat "Somatic cell count"
Lusis, Ivars, Armins Laurs i Vita Antane. "Viscosity method in robotic milking system for detection of somatic cell count in milk". W 18th International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, 2019. http://dx.doi.org/10.22616/erdev2019.18.n095.
Pełny tekst źródłaMrode, R., M. W. Winters i M. Coffey. "292. Within and across breed single step genomic prediction for somatic cell count including foreign information". W World Congress on Genetics Applied to Livestock Production. The Netherlands: Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_292.
Pełny tekst źródłaKhoo, Geoffrey, Rainer Kuennemeyer i Rod W. Claycomb. "Fluorescence photon migration techniques for the on-farm measurement of somatic cell count in fresh cow's milk". W SPIE Proceedings, redaktorzy Jose F. Lopez, Chenggen Quan, Fook Siong Chau, Francisco V. Fernandez, Jose Maria Lopez-Villegas, Anand Asundi, Brian Stephen Wong, Jose M. de la Rosa i Chwee Teck Lim. SPIE, 2005. http://dx.doi.org/10.1117/12.621771.
Pełny tekst źródłaGómez, M. M., R. Cimmino, Y. Gombia, G. Zullo i S. Biffani. "810. Somatic cell count and its relationship with udder type traits in Italian Mediterranean Buffaloes (Bubalus bubalis)". W World Congress on Genetics Applied to Livestock Production. The Netherlands: Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_810.
Pełny tekst źródłaEgil Simensen, Camilla Kielland, Knut Egil Bøe, Lars Erik Ruud i Geir Næss. "Milk Production, Reproductive Performance, Milk Somatic Cell Count and Disease Incidences in Alternative Housing Systems for Dairy Cows". W Sixth International Dairy Housing Conference Proceeding, 16-18 June 2007, (Minneapolis, Minnesota) (Electronic Only). St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.22814.
Pełny tekst źródłaBobbo, T., R. Matera, G. Pedota, J. Ramirez-Diaz, A. Manunza, A. Stella, A. Cotticelli, G. Neglia i S. Biffani. "137. Machine learning to predict somatic cell count at the subsequent test-day record in the Italian Mediterranean Buffaloes". W World Congress on Genetics Applied to Livestock Production. The Netherlands: Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_137.
Pełny tekst źródłaIsmiraj, Muhammad Rifqi, i Novi Mayasari. "Effects of Different Milk Somatic Cell Count Level on Plasma Total Protein, Albumin, and Globulin in Transition Dairy Cows". W 6th International Seminar of Animal Nutrition and Feed Science (ISANFS 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/absr.k.220401.019.
Pełny tekst źródłaSILVA, SERGIO E. LEMOS DA, THALITA VIEIRA VINHAL, GUSTAVO PAULA DE OLIVEIRA, GABRIELA FRATARI FREITAS, LUANNA DE SOUZA FERNANDES i HEMONIELLE GOMES DE MELO SILVEIRA. "PREVALENCE AND INCIDENCE OF CLINICAL AND SUBCLINICAL BOVINE MASTITIS IN A DAIRY HERD IN THE SOUTHEAST OF GOIÁS, BRAZIL". W II South Florida Congress of Development. brazco, 2022. http://dx.doi.org/10.47172/iisfcdv2022.0023.
Pełny tekst źródłaRaporty organizacyjne na temat "Somatic cell count"
Schultz, Lorilee, i Leo L. Timms. Case Study of Prevention and Therapy Strategies for a High Somatic Cell Count Herd. Ames (Iowa): Iowa State University, styczeń 2006. http://dx.doi.org/10.31274/ans_air-180814-144.
Pełny tekst źródłaTimms, Leo L. Evaluation of recommended and extended pirlimycin therapy strategies in four high somatic cell count. Ames (Iowa): Iowa State University, styczeń 2004. http://dx.doi.org/10.31274/ans_air-180814-37.
Pełny tekst źródłaTimms, Leo L. Prevention and Pirlimycin Therapy Strategies for a High Somatic Cell Count Herd: A Case Study. Ames (Iowa): Iowa State University, styczeń 2004. http://dx.doi.org/10.31274/ans_air-180814-100.
Pełny tekst źródłaLeitner, Gabriel, i Naomi Balaban. Novel Immunotherapeutic Agent for the Treatment and Prevention of Staphylococcal Mastitis in Dairy Cows. United States Department of Agriculture, styczeń 2009. http://dx.doi.org/10.32747/2009.7709880.bard.
Pełny tekst źródłaLeitner, Gabriel, i Naomi Balaban. Novel Immunotherapeutic Agent for the Treatment and Prevention of Staphylococcal Mastitis in Dairy Cows. United States Department of Agriculture, styczeń 2009. http://dx.doi.org/10.32747/2009.7695866.bard.
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