Literature DB >> 22365217

Milk production and somatic cell counts: a cow-level analysis.

K J Hand1, A Godkin, D F Kelton.   

Abstract

The objectives of this study were to quantify the relationship between 24-h milk loss and lactation milk loss due to mastitis at the cow level. For the year 2009, individual cow test-day production records from 2,835 Ontario dairy herds were examined. Each record consisted of 24-h milk and component yields, stage of lactation (days in milk, DIM), somatic cell count (SCC, ×10(3) cells/mL) and parity. The modeling was completed in 2 stages. In stage 1, for each animal in the study, the estimated slope from a linear regression of 24-h milk yield (kg), adjusted for DIM, the quadratic effect of DIM, and the 24-h fat yield (kg) on ln(SCC) was determined. In stage 2, the estimated slope were modeled using a mixed model with a random component due to herd. The fixed effects included season (warm: May to September, cool: October to April), milk quartile class [MQ, determined by the rank of the 24-h average milk yield (kg) over a lactation within the herd] and parity. The estimated slopes from the mixed model analysis were used to estimate 24-h milk loss (kg) by comparing to a referent healthy animal with an SCC value of 100 (×10(3) cells/mL) or less. Lactation milk loss (kg) was then estimated by using estimated 24-h milk loss within lactation by means of a test-day interval method. Lactation average milk loss (kg) and SCC were also estimated. Lastly, lactation milk loss (kg) was modeled on the log scale using a mixed model, which included the random effect of herd and fixed effects, parity, and the linear and quadratic effect of the number of 24-h test days within a lactation where SCC exceeded 100 (×10(3) cells/mL; S100). The effect of SCC was significant with respect to 24-h milk loss (kg), increasing across parity and MQ. In general, first-parity animals in the first MQ (lower milk yield animals) were estimated to have 45% less milk loss than later parity animals. Milk losses were estimated to be 33% less for animals in first parity and MQ 2 through 4 than later parity animals in comparable MQ. Therefore, the relative level of milk production was found to be a significant risk factor for milk loss due to mastitis. For animals with 24-h SCC, values of 200 (×10(3) cells/mL), 24-h milk loss ranged from 0.35 to 1.09 kg; with 24-h SCC values of 2,000 (×10(3) cells/mL), milk loss ranged from 1.49 to 4.70 kg. Lactation milk loss (kg) increased significantly as lactation average SCC increased, ranging from 165 to 919 kg. The linear and quadratic effect of S100 was a significant risk factor for lactation milk loss (kg), where greatest losses occurred in lactations with 5 or more 24-h test days where SCC exceeded 100 (×10(3) cells/mL).
Copyright © 2012 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22365217     DOI: 10.3168/jds.2011-4927

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  7 in total

1.  Effects of parity and days in milk on milk composition in correlation with β-hydroxybutyrate in tropic dairy cows.

Authors:  Ahmed Sabek; Chunfang Li; Chao Du; Liangkang Nan; Junqing Ni; Eman Elgazzar; Yabing Ma; Abdelfattah Z M Salem; Shujun Zhang
Journal:  Trop Anim Health Prod       Date:  2021-04-19       Impact factor: 1.559

2.  Monitoring udder health status using somatic cell counts in Holstein dairy herds located in north-east of Iran and effectiveness of 10-point mastitis control program.

Authors:  M R Rahimi; B Khoramian; M Drillich; M Azizzadeh
Journal:  Iran J Vet Res       Date:  2021       Impact factor: 1.376

3.  Testing Two Somatic Cell Count Cutoff Values for Bovine Subclinical Mastitis Detection Based on Milk Microbiota and Peripheral Blood Leukocyte Transcriptome Profile.

Authors:  Jinning Zhang; Wenlong Li; Yongjie Tang; Xueqin Liu; Hailiang Zhang; Yueling Zhou; Yachun Wang; Wei Xiao; Ying Yu
Journal:  Animals (Basel)       Date:  2022-06-30       Impact factor: 3.231

4.  Prevalence of bacterial genotypes and outcome of bovine clinical mastitis due to Streptococcus dysgalactiae and Streptococcus uberis.

Authors:  Åsa Lundberg; Ann Nyman; Helle Ericsson Unnerstad; Karin Persson Waller
Journal:  Acta Vet Scand       Date:  2014-11-27       Impact factor: 1.695

5.  Models to Estimate Lactation Curves of Milk Yield and Somatic Cell Count in Dairy Cows at the Herd Level for the Use in Simulations and Predictive Models.

Authors:  Kaare Græsbøll; Carsten Kirkeby; Søren Saxmose Nielsen; Tariq Halasa; Nils Toft; Lasse Engbo Christiansen
Journal:  Front Vet Sci       Date:  2016-12-19

6.  The impact of removal of the seasonality formula on the eligibility of Irish herds to supply raw milk for processing of dairy products.

Authors:  Caroline Fenlon; Luke O'Grady; Finola McCoy; Erik Houtsma; Simon J More
Journal:  Ir Vet J       Date:  2017-02-23       Impact factor: 2.146

7.  Bacteriological survey of bulk tank milk from dairy farms in Montero, Santa Cruz, Bolivia.

Authors:  Yu Michimuko-Nagahara; Yu Tamura; Masateru Koiwa
Journal:  Vet World       Date:  2018-10-26
  7 in total

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