Effect of Parity, Stage of Lactation, and Intramammary Infection on Concentration of Somatic Cells and Cytoplasmic Particles in Goat Milk
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Aseptic foremilk samples were collected biweekly for four samplings and then monthly throughout lactation from 35 does in three herds on Dairy Herd Improvement test, and coagulase negative staphylococci were the most frequent isolates.About:
This article is published in Journal of Dairy Science.The article was published on 1983-11-01 and is currently open access. It has received 143 citations till now. The article focuses on the topics: Lactation & Udder.read more
Citations
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Journal ArticleDOI
Somatic cells of goat and sheep milk: Analytical, sanitary, productive and technological aspects ☆
TL;DR: Evidence emphasizes the need to implement mastitis control programs in flocks and herds in order to improve the hygienic quality of milk and dairy products, and to increase the economic returns to producers and processors.
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Monitoring goat and sheep milk somatic cell counts
Max Paape,G.R. Wiggans,Douglas D. Bannerman,David L. Thomas,A.H. Sanders,Antonio Contreras,Paolo Moroni,R.H. Miller +7 more
TL;DR: Non-infectious factors such as parity and stage of lactation had minimal effects on MSCC for cows and sheep, but had a major impact on counts for goats, and need to be considered when establishing legal limits for goat milk.
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A 100-Year Review: Advances in goat milk research.
TL;DR: Advances in all of these areas have been largely documented in the Journal of Dairy Science (JDS), and this review summarizes such advances.
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Milk Somatic Cells and Lactation in Small Ruminants
TL;DR: Intramammary infusion of antibiotics at dry-off and postmilking teat dipping in goats decreased the rate of new IMI and MSCC, indicating mastitis control practices shown to be efficacious in cows are also effective in goats.
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Potential uses of milk epithelial cells: a review.
Marion Boutinaud,Hélène Jammes +1 more
TL;DR: Primary cultures of epithelial cells from colostrum and milk of humans, baboons, cows and goats together with established cell lines from human and goat milk provide a good model for the study of lactogenesis, immunity transmission, cancer research and infection by viruses.
References
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Identification, properties, and differential counts of cell populations using electron microscopy of dry cows secretions, colostrum and milk from normal cows.
TL;DR: Differential counts of electron microscope sections of cell pellets isolated from bovine udder secretions showed that no secretory epithelial cells and very few ductal epithelium cells were present at any stage.
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The Determination of the Number of Body Cells in Milk by a Direct Method
S. C. Prescott,R. S. Breed +1 more
TL;DR: The method in most general use in Board of Health and similar laboratories for determining the number of body cells present in a given sample of milk is the so-called "smeared sediment" method, first devised by Stokes and Wegefarth and modified by Stewart and Slack.
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Theories of milk secretion: evidence from the electron microscopic examination of milk.
TL;DR: It is shown that milk contains several intracellular components (such as citrate, enzymes and microsomes), although it is uncertain whether these are derived from secretory or duct cells or from phagocytic cells (neutrophil leucocytes and macrophages), which are known to migrate into milk from the blood and connective tissue.
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Somatic Cells in Milk-Physiological Aspects and Relationship to Amount and Composition of Milk.
TL;DR: Use of cell counting on an individual cow basis improves its usefulness as a management tool for the dairyman compared to bulk tank counts.
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Differentiation and Enumeration of Somatic Cells in Goat Milk.
AM Dulin,Max Paape,W. P. Wergin +2 more
TL;DR: Results indicate that only those counting methods that are specific for deoxyribonucleic acid can distinguish cell-like particles from somatic cells, and thereby give reliable estimates of somatic cell numbers in goat milk.
Related Papers (5)
Cell Content of Goat Milk: California Mastitis Test, Coulter Counter, and Fossomatic for Predicting Half Infection
Bernard Poutrel,C. Lerondelle +1 more