Measurement of Somatic Cell Count in the 700–1,100 nm Short Wavelength Region Using PLS Regression and Referenced Data

Prediction of hyperketonemia (HYK), a postpartum metabolic disorder in dairy cows, through use of cow and milk data has allowed for high-throughput detection and monitoring during monthly milk sampling. The objective of this study was to determine associations between predicted HYK (pHYK) and production parameters in a dataset generated from routine milk analysis samples. Data from 240,714 lactations across 335 farms were analyzed with multiple linear regression models to determine HYK status. Data on HYK or disease treatment was not solicited. Consistent with past research, pHYK cows had greater previous lactation dry period length, somatic cell count, and dystocia. Cows identified as pHYK had lower milk yield and protein percent but greater milk fat, specifically greater mixed and preformed fatty acids (FA), and greater somatic cell count (SCC). Differential somatic cell count was greater in second and fourth parity pHYK cows. Culling (60d), days open, and number of artificial inseminations were greater in pHYK cows. Hyperketonemia prevalence decreased linearly in herds with greater rolling herd average milk yield. This research confirms previously identified risk factors and negative outcomes associated with pHYK and highlights novel associations with differential SCC, mixed FA, and preformed FA across farm sizes and production levels.

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Somatic cell count in buffalo milk using fuzzy clustering and image processing techniques

Journal of Dairy Research ◽

10.1017/s0022029921000042 ◽

2021 ◽

Vol 88 (1) ◽

pp. 69-72

Author(s):

Aline Silva Ramos ◽

Cristiano Hora Fontes ◽

Adonias Magdiel Ferreira ◽

Camila Costa Baccili ◽

Karen Nascimento da Silva ◽

...

Keyword(s):

Image Processing ◽

Somatic Cell ◽

Cell Count ◽

Fuzzy Clustering ◽

Somatic Cell Count ◽

Visual Observation ◽

Buffalo Milk ◽

Image Processing Techniques ◽

Fuzzy Clustering Method ◽

Processing Techniques

AbstractThis research communication presents an automatic method for the counting of somatic cells in buffalo milk, which includes the application of a fuzzy clustering method and image processing techniques (somatic cell count with fuzzy clustering and image processing|, SCCFCI). Somatic cell count (SCC) in milk is the main biomarker for assessing milk quality and it is traditionally performed by exhaustive methods consisting of the visual observation of cells in milk smears through a microscope, which generates uncertainties associated with human interpretation. Unlike other similar works, the proposed method applies the Fuzzy C-Means (FCM) method as a preprocessing step in order to separate the images (objects) of the cells into clusters according to the color intensity. This contributes signficantly to the performance of the subsequent processing steps (thresholding, segmentation and recognition/identification). Two methods of thresholding were evaluated and the Watershed Transform was used for the identification and separation of nearby cells. A detailed statistical analysis of the results showed that the SCCFCI method is able to provide results which are consistent with those obtained by conventional counting. This method therefore represents a viable alternative for quality control in buffalo milk production.

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Relation of Milk Production Loss to Milk Somatic Cell Count

Acta Veterinaria Scandinavica ◽

10.1186/bf03547040 ◽

1999 ◽

Vol 40 (1) ◽

pp. 47-56 ◽

Cited By ~ 2

Author(s):

E. Koldeweij ◽

U. Emanuelson ◽

L. Janson

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Milk Production ◽

Somatic Cell Count ◽

Production Loss

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289 Effects of dietary Zn on ewe milk minerals and somatic cell count

Journal of Animal Science ◽

10.1093/jas/skaa278.394 ◽

2020 ◽

Vol 98 (Supplement_4) ◽

pp. 213-214

Author(s):

Chad M Page ◽

Tom Murphy ◽

Bret Taylor ◽

Alexis Julian ◽

Jaelyn Whaley ◽

...

Keyword(s):

Size Effect ◽

Somatic Cell ◽

Cell Count ◽

Litter Size ◽

Somatic Cell Count ◽

Mineral Content ◽

Treatment Groups ◽

Milk Minerals

Abstract The objectives of the current study were to evaluate the effects of dietary Zn fed at approximately 3 times NRC recommendations on milk Zn concentrations and mammary health. Within Rambouillet (WF) and Hampshire (BF) breeds, ewes were ranked by BW and randomly assigned down the rank into 2 treatment groups: Control (n = 45, 37 mg Zn/kg DM) and Zn treatment (n = 44, 113 mg Zn/kg DM). Treatments were delivered via a ZnSO4-fortified alfalfa pellet fed at a rate of 0.45 kg/d DM from a RFID-activated automated feeder from approximately 6 wk before to 4 wk after lambing. Ewe milk was collected twice weekly, and analyzed for mineral content (d 0, 10, and 30 of lactation) and somatic cell count (SCC; d 3–5, 6–9, 10–12, 13–16, 17–19, 20–23, 24–26, 27–29, or 30–32). Single-bearing ewes had greater Ca, Mg, and P (P ≤ 0.04) than multiple-bearing ewes. Day of lactation influenced milk Mg, P, and Zn (P < 0.01), and values generally decreased as lactation progressed. Milk Zn was 1.7-fold greater (P < 0.01) for Zn treatment than Control ewes. Milk Ca, Mg, and P were greater for Control than Zn treatment (P ≤ 0.02) ewes. A breed × litter size effect was detected for LogSCC (P = 0.02). Single-bearing WF ewes had lower LogSCC than multiple-bearing WF ewes (5.36 ± 0.09 vs 5.74 ± 0.07; P < 0.01) but litter size did not affect BF ewe LogSCC (5.80 ± 0.08 vs 5.79 ± 0.09; P = 0.92). Day of lactation impacted ewe SCC (P < 0.01), with peak SCC between d 6 and 9, which began to decline as lactation progressed. In conclusion, dietary Zn above NRC recommendations increased milk Zn.

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