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Full-Text Articles in Life Sciences
Light Backscatter Of Milk Products For Transition Sensing Using Optical Fibers, Frederick A. Payne, Czarena L. Crofcheck, Sue E. Nokes, Klat C. Kang
Light Backscatter Of Milk Products For Transition Sensing Using Optical Fibers, Frederick A. Payne, Czarena L. Crofcheck, Sue E. Nokes, Klat C. Kang
Biosystems and Agricultural Engineering Faculty Publications
Transition sensors are needed, particularly in the dairy industry, for detecting transitions in pipe flow systems from product-to-water or product-to-product (such as from chocolate to vanilla ice cream mix). Transition information is used to automatically sequence valves to minimize product waste. Optical fibers were used to measure light backscatter between 400 and 950 nm as a function of milk concentration in water and milkfat concentration in milk. The normalized response (100% for product and 0% for water) as a function of product concentration in water was approximately logarithmic for skim milk between 400 and 900 nm and approximately linear for …
Predicting The Cutting Time Of Cottage Cheese Using Backscatter Measurements, Czarena L. Crofcheck, Frederick A. Payne, Sue E. Nokes
Predicting The Cutting Time Of Cottage Cheese Using Backscatter Measurements, Czarena L. Crofcheck, Frederick A. Payne, Sue E. Nokes
Biosystems and Agricultural Engineering Faculty Publications
An automated system for monitoring culture growth and determining coagulum cutting time is needed for cottage cheese manufacturing. A light backscatter measurement system was designed and installed in a local cottage cheese manufacturing plant. A cutting time prediction algorithm was developed using parameters generated from the backscatter profile. The cutting time prediction algorithm, Tcut = Tmax + β2 S, used two time-based parameters generated from the backscatter profile (Tmax and S) and one operator selected parameter, β2, to predict the coagulum cutting time, Tcut. The standard error of prediction for the algorithm was 6.4 …
Bovine Somatotropin In Milk, Charlotte P. Brennand Phd, Clell V. Bagley Dvm
Bovine Somatotropin In Milk, Charlotte P. Brennand Phd, Clell V. Bagley Dvm
Archived Food and Health Publications
Publication discusses the controversy associated with Bovine Somatotropin in milk.
Effects Of Calving Season And Lactation Order On Milk Yield And Milk Components In Simmental Cows, Özel Şekerden
Effects Of Calving Season And Lactation Order On Milk Yield And Milk Components In Simmental Cows, Özel Şekerden
Turkish Journal of Veterinary & Animal Sciences
The research was performed to investigate effects of calving season and lactation order on milk yield components and changing of milk components with lactation stage in Simmental cows. Milk samples were taken at AM milkings in 30±15^{th}, 90±15^{th}, 150±15^{th} and 210±15^{th} days of lactations. Lactation stages' effect was found significant level statistically on only the rate of total solid matter (TSM). Calving season's effect was found at significant level statistically on 305-day milk yield; fat, protein, TSM, casein rates and lactation yield of casein. Although lactation order's effect was significant on all the component rates and yields of lactation except …
Blood And Milk Protein Polymorphism And Their Effects On Various Production Traits In Simmental Cows, Özel Şekerden, Faruk Doğrul, Hüseyi̇n Erdem
Blood And Milk Protein Polymorphism And Their Effects On Various Production Traits In Simmental Cows, Özel Şekerden, Faruk Doğrul, Hüseyi̇n Erdem
Turkish Journal of Veterinary & Animal Sciences
This research was carried out to determine the transferrin (Tf) and haemoglobine (Hb) and milk protein (alfa-S_1-casein, beta casein, capa casein, beta lactoglobuline) types, and relationships between Tf and Hb types and milk protein genotypes with various characteristics. The relationship between Tf types and milk yields of control milking and control day were only statistically significant (P0.05). None of the investigated characteristics were effected by milk protein genetic variants at statistically significant level.