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

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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Hycole Doe Milk Properties and Kit Growth

Animals ◽

10.3390/ani10020214 ◽

2020 ◽

Vol 10 (2) ◽

pp. 214

Author(s):

Agnieszka Ludwiczak ◽

Joanna Składanowska-Baryza ◽

Beata Kuczyńska ◽

Marek Stanisz

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Milk Production ◽

Litter Size ◽

Somatic Cell Count ◽

Quality Traits ◽

Litter Weight ◽

Daily Milk Production ◽

Rabbit Milk ◽

Daily Milk

The level of production and the physiochemical traits of rabbit milk affect the growth and the mortality of bunnies during lactation. The goal of the study was to analyze the effect of litter size and day of lactation on the quality traits of rabbit milk, milk production, and associative traits. The study was conducted on 32 Hycole does and their litters. The rabbit milk pH ranged from 6.61 to 7.46. The colostrum was characterized by the highest content of total solids (31.54 and 31.80 g kg−1) and fat content (15.73 and 15.9 g kg−1). The milk from the beginning of the lactation was characterized by the highest level of somatic cell count (SCC) (523.67 and 536.57 103 mL−1), which gradually decreased to reach the lowest level on days 17 and 21 of lactation. The daily milk production was greater for does nursing 10 kits per litter compared to those nursing eight kits per litter (p < 0.001). The peak of milk production occurred on day 17 postpartum. To conclude, the litter size has a clear effect on milk production as well as litter weight and litter weight gains. It is also important to note that the day of lactation affected the physiochemical traits of rabbit milk.

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424 WS Young Scholar Talk PHD: Effect of increasing dietary zinc during late gestation and early lactation on ewe and lamb body weights, serum and milk minerals, and somatic cell count

Journal of Animal Science ◽

10.1093/jas/skaa278.375 ◽

2020 ◽

Vol 98 (Supplement_4) ◽

pp. 203-204

Author(s):

Chad M Page

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Somatic Cell Count ◽

Late Gestation ◽

Transfer Efficiency ◽

Control Treatment ◽

Early Lactation ◽

Serum Samples ◽

Body Weights ◽

Milk Minerals

Abstract The objectives of the current research are to quantify the effects that increased dietary Zn during late gestation and early lactation has on ewe and progeny body weights, serum and milk minerals, and somatic cell count. Within Rambouillet (WF) and Hampshire (BF) breeds, ewes were ranked by BW and randomly assigned down the rank into 1 of 2 treatment groups: Control (n = 34, 37 mg Zn/kg DM, ≈1×NRC) and Zn treatment (n = 37, 113 mg Zn/kg DM, ≈3×NRC). 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 d 108 ± 10 of gestation to d 30 post-lambing. Ewe BW were recorded at d 0, 29, lambing, 30 post-lambing, and weaning. Lamb BW was recorded at lambing, d 15, 30, and weaning. Serum samples were taken from ewes and lambs at 18 ± 4 h post-lambing and analyzed for mineral concentrations. Maternal trace mineral transfer efficiency were calculated by dividing lamb serum values by their respective dam’s serum value and expressed as a percentage. Ewe milk was collected twice weekly. Milk was analyzed for mineral content (d 0, 10, and 30 of lactation) and SCC (d 3–5, 6–9, 10–12, 13–16, 17–19, 20–23, 24–26, 27–29, or 30–32). Ewe and lamb BW was not influenced by Zn treatment (P > 0.19). Ewe serum Zn and maternal transfer efficiency did not differ between control and Zn treatment ewes (P ≥ 0.47). There was a treatment × breed type interaction for lamb serum LogZn (P = 0.04), where BF lambs within Zn treatment had greater serum LogZn (0.63 ± 0.32) than WF lambs (-0.37 ± 0.27; P = 0.04), but breeds did not differ within lambs in the Control treatment group. Milk Ni and Zn was greater for Zn treated ewes than control ewes (P < 0.01), but Mg and P concentrations were greater for control ewes (P ≤ 0.02). Control and Zn treated ewes did not differ in LogSCC through the first 30 d of lactation (P = 0.68) nor did they differ at weaning (P = 0.48). White face and BF ewes LogSCC did not differ at weaning (P = 0.09), but for the first 30 d of lactation BF (5.79 ± 0.06) had greater LogSCC than WF ewes (5.54 ± 0.06; P < 0.01). Day of lactation impacted ewe SCC (P < 0.01), with peak SCC between d 6 and 9 which began to decline as lactation progressed. Current Zn recommendations appear to be adequate for ewe and lamb growth during late gestation and early lactation, but results suggest litter size and breed nuances. Milk Zn is also increased with dietary Zn above NRC recommendations, while further interactions with milk Ni, Mg, and P occur. Additionally, longitudinal values of SCC throughout lactation may inform preventative intervention strategies for cases of sub-clinical mastitis since peak SCC is within the first 9 d post-lambing.

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Evaluation of recommended and extended pirlimycin therapy strategies in four high somatic cell count

10.31274/ans_air-180814-37 ◽

2004 ◽

Author(s):

Leo L. Timms

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Somatic Cell Count ◽

Therapy Strategies

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Milk yield, milk composition and somatic cell count of dairy goats given n-3 unsaturated fatty acids diet supplement

Acta veterinaria ◽

10.2298/avb1203281g ◽

2012 ◽

Vol 62 (2-3) ◽

pp. 281-287

Author(s):

Vesna Gantner ◽

D. Kompan

Keyword(s):

Fatty Acids ◽

Somatic Cell ◽

Cell Count ◽

Milk Yield ◽

Somatic Cell Count ◽

Unsaturated Fatty Acids ◽

Milk Composition ◽

Dairy Goats ◽

Diet Supplement

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Comparison of Ketosis, Clinical Mastitis, Somatic Cell Count, and Reproductive Performance between Free Stall and Tie Stall Barns in Norwegian Dairy Herds with Automatic Feeding

Acta Veterinaria Scandinavica ◽

10.1186/bf03548498 ◽

1997 ◽

Vol 38 (2) ◽

pp. 181-192

Author(s):

J. P. Valde ◽

D. W. Hird ◽

M. C. Thurmond ◽

O. Østerås

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Reproductive Performance ◽

Somatic Cell Count ◽

Clinical Mastitis ◽

Dairy Herds ◽

Norwegian Dairy

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Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights

Animals ◽

10.3390/ani11051291 ◽

2021 ◽

Vol 11 (5) ◽

pp. 1291

Author(s):

Ryan S. Pralle ◽

Joel D. Amdall ◽

Robert H. Fourdraine ◽

Garrett R. Oetzel ◽

Heather M. White

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Milk Yield ◽

Milk Fat ◽

Somatic Cell Count ◽

Past Research ◽

Management Tool ◽

Milk Analysis ◽

Linear Regression Models ◽

High Throughput Detection

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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