Literature DB >> 19445832

Prediction of total quarter milk somatic cell counts based on foremilk sampling.

Olga Wellnitz1, Marcus G Doherr, Marta Woloszyn, Rupert M Bruckmaier.   

Abstract

Determination of somatic cell count (SCC) is used worldwide in dairy practice to describe the hygienic status of the milk and the udder health of cows. When SCC is tested on a quarter level to detect single quarters with high SCC levels of cows for practical reasons, mostly foremilk samples after prestimulation (i.e. cleaning of the udder) are used. However, SCC is usually different in different milk fractions. Therefore, the goal of this study was the investigation of the use of foremilk samples for the estimation of total quarter SCC. A total of 378 milkings in 19 dairy cows were performed with a special milking device to drain quarter milk separately. Foremilk samples were taken after udder stimulation and before cluster attachment. SCC was measured in foremilk samples and in total quarter milk. Total quarter milk SCC could not be predicted precisely from foremilk SCC measurements. At relatively high foremilk SCC levels (>300 x 10(3) cells/ml) foremilk SCC were higher than total quarter milk. At around (50-300) x 10(3) cells/ml foremilk and total quarter SCC did not differ considerably. Most interestingly, if foremilk SCC was lower than 50 x 10(3) cells/ml the total quarter SCC was higher than foremilk SCC. In addition, individual cows showed dramatic variations in foremilk SCC that were not very well related to total quarter milk SCC. In conclusion, foremilk samples are useful to detect high quarter milk SCC to recognize possibly infected quarters, only if precise cell counts are not required. However, foremilk samples can be deceptive if very low cell numbers are to be detected.

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Year:  2009        PMID: 19445832     DOI: 10.1017/S0022029909004166

Source DB:  PubMed          Journal:  J Dairy Res        ISSN: 0022-0299            Impact factor:   1.904


  2 in total

1.  Evaluation of hand-held sodium, potassium, calcium, and electrical conductivity meters for diagnosing subclinical mastitis and intramammary infection in dairy cattle.

Authors:  Sahar A Kandeel; Ameer A Megahed; Peter D Constable
Journal:  J Vet Intern Med       Date:  2019-07-11       Impact factor: 3.333

2.  Determining extracellular vesicles properties and miRNA cargo variability in bovine milk from healthy cows and cows undergoing subclinical mastitis.

Authors:  Mara D Saenz-de-Juano; Giulia Silvestrelli; Stefan Bauersachs; Susanne E Ulbrich
Journal:  BMC Genomics       Date:  2022-03-07       Impact factor: 3.969

  2 in total

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