Literature DB >> 10878298

Relationship between milk somatic-cell counts in the first lactation and clinical mastitis occurrence in the second lactation of French Holstein cows.

R Rupp1, F Beaudeau, D Boichard.   

Abstract

The relationship between 10 cell-level descriptors in the first lactation and the risk of clinical mastitis in the second lactation was studied in 10205 Holstein cows from 1254 commercial herds using logistic regression. These 10 cell descriptors were based on the mean cell level over the whole first lactation, on the cell level at the beginning or at the end of the first lactation or on the proportion of cell counts below or above given thresholds. Separate analyses were also performed for subsets of herds defined according to their clinical mastitis incidence risk and their lactation mean somatic-cell count (SCC). Odds of clinical mastitis in second lactation was highest (lowest) for high- (low-) yielding cows. All cell descriptors provided consistent results. Lower (higher) mean cell level, higher (lower) proportion of low SCC values, and lower (higher) proportion of high SCC values in the first lactation were associated with a lower (higher) risk of clinical mastitis in the second lactation. The same trends were observed in all subgroups of herds. Cows with the lowest mean SCC in the first lactation had the lowest risk for clinical mastitis in the second lactation. This suggests that selection for decreased SCC may effectively reduce clinical mastitis incidence and that the breeding goal should favor cows with the lowest observed SCC.

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Year:  2000        PMID: 10878298     DOI: 10.1016/s0167-5877(00)00142-2

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  7 in total

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Authors:  A L Rivas; R Tadevosyan; F W Quimby; T Coksaygan; D H Lein
Journal:  Can J Vet Res       Date:  2002-07       Impact factor: 1.310

2.  Genome-wide bovine H3K27me3 modifications and the regulatory effects on genes expressions in peripheral blood lymphocytes.

Authors:  Yanghua He; Ying Yu; Yuan Zhang; Jiuzhou Song; Apratim Mitra; Yi Zhang; Yachun Wang; Dongxiao Sun; Shengli Zhang
Journal:  PLoS One       Date:  2012-06-28       Impact factor: 3.240

3.  Estimation of Genetic Parameters for Somatic Cell Scores of Holsteins Using Multi-trait Lactation Models in Korea.

Authors:  M Alam; C I Cho; T J Choi; B Park; J G Choi; Y H Choy; S S Lee; K H Cho
Journal:  Asian-Australas J Anim Sci       Date:  2015-03       Impact factor: 2.509

4.  Lactation persistency as a component trait of the selection index and increase in reliability by using single nucleotide polymorphism in net merit defined as the first five lactation milk yields and herd life.

Authors:  K Togashi; K Hagiya; T Osawa; T Nakanishi; T Yamazaki; Y Nagamine; C Y Lin; S Matsumoto; M Aihara; K Hayasaka
Journal:  Asian-Australas J Anim Sci       Date:  2012-08       Impact factor: 2.509

5.  Combined analysis of DNA methylome and transcriptome reveal novel candidate genes with susceptibility to bovine Staphylococcus aureus subclinical mastitis.

Authors:  Minyan Song; Yanghua He; Huangkai Zhou; Yi Zhang; Xizhi Li; Ying Yu
Journal:  Sci Rep       Date:  2016-07-14       Impact factor: 4.379

6.  Rumen and Hindgut Bacteria Are Potential Indicators for Mastitis of Mid-Lactating Holstein Dairy Cows.

Authors:  Yifan Zhong; Ming-Yuan Xue; Hui-Zeng Sun; Teresa G Valencak; Le Luo Guan; Jianxin Liu
Journal:  Microorganisms       Date:  2020-12-20

7.  Whole-genome regulation analysis of histone H3 lysin 27 trimethylation in subclinical mastitis cows infected by Staphylococcus aureus.

Authors:  Yanghua He; Minyan Song; Yi Zhang; Xizhi Li; Jiuzhou Song; Yuan Zhang; Ying Yu
Journal:  BMC Genomics       Date:  2016-08-08       Impact factor: 3.969

  7 in total

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