Rasmussen et al., 2005 - Google Patents
Visual appearance and CMT score of foremilk of individual quarters in relation to cell count of cows milked automaticallyRasmussen et al., 2005
View PDF- Document ID
- 4916188155961304970
- Author
- Rasmussen M
- Bjerring M
- Skjøth F
- Publication year
- Publication venue
- Journal of dairy research
External Links
Snippet
The objectives of the study were: to evaluate the interaction between visual appearance and California mastitis test (CMT) score of the foremilk in relation to the cell count of the milk; to evaluate the consequences of sorting milk according to these criteria; and to explore …
- 230000000007 visual effect 0 title abstract description 55
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
- G01N33/689—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids related to pregnancy or the gonads
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
- G01N33/5094—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for blood cell populations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
- G01N33/5008—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/02—Investigating or analysing materials by specific methods not covered by the preceding groups food
- G01N33/04—Investigating or analysing materials by specific methods not covered by the preceding groups food dairy products
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/02—Investigating or analysing materials by specific methods not covered by the preceding groups food
- G01N33/12—Investigating or analysing materials by specific methods not covered by the preceding groups food meat; fish
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01J—MANUFACTURE OF DAIRY PRODUCTS
- A01J5/00—Milking machines or devices
- A01J5/013—On-site detection of mastitis in milk
- A01J5/0133—On-site detection of mastitis in milk by using electricity, e.g. conductivity or capacitance
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01J—MANUFACTURE OF DAIRY PRODUCTS
- A01J5/00—Milking machines or devices
- A01J5/013—On-site detection of mastitis in milk
- A01J5/0131—On-site detection of mastitis in milk by analysing the milk composition, e.g. concentration or detection of specific substances
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Benedet et al. | Invited review: β-hydroxybutyrate concentration in blood and milk and its associations with cow performance | |
Ebrahimie et al. | A large-scale study of indicators of sub-clinical mastitis in dairy cattle by attribute weighting analysis of milk composition features: highlighting the predictive power of lactose and electrical conductivity | |
Gross et al. | Metabolic challenges in lactating dairy cows and their assessment via established and novel indicators in milk | |
Chagunda et al. | L-lactate dehydrogenase and N-acetyl-β-D-glucosaminidase activities in bovine milk as indicators of non-specific mastitis | |
Řehák et al. | Relationships among milk yield, body weight, and reproduction in Holstein and Czech Fleckvieh cows. | |
Islam et al. | Prevalence and risk factors of mastitis in lactating dairy cows at Baghabari milk shed area of Sirajganj. | |
Kivaria et al. | Interpretation of California mastitis test scores using Staphylococcus aureus culture results for screening of subclinical mastitis in low yielding smallholder dairy cows in the Dar es Salaam region of Tanzania | |
Atasever | Estimation of correlation between somatic cell count and coagulation score of bovine milk | |
Kamphuis et al. | Development of protocols to evaluate in-line mastitis-detection systems | |
Rasmussen et al. | Visual appearance and CMT score of foremilk of individual quarters in relation to cell count of cows milked automatically | |
Sadeghi-Sefidmazgi et al. | Estimation of economic values and financial losses associated with clinical mastitis and somatic cell score in Holstein dairy cattle | |
Caldeira et al. | Opportunities and limitations of milk mid-infrared spectra-based estimation of acetone and β-hydroxybutyrate for the prediction of metabolic stress and ketosis in dairy cows | |
Gáspárdy et al. | Evaluation of the on-line electrical conductivity of milk in mastitic dairy cows | |
Tamburini et al. | Milk emission and udder health status in primiparous dairy cows during lactation | |
Ingenhoff et al. | Evaluation of a cow‐side milk progesterone assay and assessment of the positive predictive value of oestrus diagnosis by dairy farmers in New South Wales | |
Sharma et al. | Quarter-wise prevalence of subclinical mastitis in crossbred cows | |
Monardes et al. | Heritabilities of measures of somatic cell count per lactation | |
Kelly et al. | Cow-level prevalence and risk factors for estrus detection inaccuracy in seasonal calving pasture-based dairy cows | |
Serrano et al. | Peripheral white blood cell counts throughout pregnancy in non-aborting Neospora caninum-seronegative and seropositive high-producing dairy cows in a Holstein Friesian herd | |
Petersson et al. | Detection of delayed cyclicity in dairy cows based on progesterone content in monthly milk samples | |
Atasever et al. | Relationships between milk somatic cell count and pH in dairy cows | |
tho Seeth et al. | Increased somatic cell counts at first milk control are associated with decreased milk yield in the first lactation in dairy heifers | |
Atasever et al. | Using Viscosity Values for Determining Somatic Cell Count in Covv | |
Thongrueang et al. | Albumin and other metabolic parameters as potential indicators of purulent vaginal discharge in dairy cows during the transition period | |
Duffield | Peripartum metabolic monitoring |