Literature DB >> 3379176

Genetic parameters for clinical mastitis, somatic cell counts, and milk production estimated by multiple-trait restricted maximum likelihood.

U Emanuelson1, B Danell, J Philipsson.   

Abstract

Heritabilities and genetic correlations for mastitis, SCC, and milk production in first lactation were calculated using data from the Swedish disease recording system. Genetic parameters were estimated from sire components of variance and covariance obtained from a multiple-trait restricted maximum likelihood procedure. Data were stratified into three subsets according to breed and AI stud. The numbers of cows were 46,431, 25,373, and 25,201, respectively. Heritabilities of mastitis and SCC averaged .014 and .080, but breed differences were seen. Genetic correlations between mastitis and SCC were moderately high, averaging .6. Milk production showed a slightly unfavorable genetic correlation with mastitis and SCC.

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Year:  1988        PMID: 3379176     DOI: 10.3168/jds.S0022-0302(88)79576-4

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


  11 in total

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Journal:  Mol Biol Rep       Date:  2012-02-12       Impact factor: 2.316

4.  Fertility in dairy cows managed for calving intervals of 12, 15 or 18 months.

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Journal:  J Anim Sci Technol       Date:  2016-10-26

7.  Integrating Sequence-based GWAS and RNA-Seq Provides Novel Insights into the Genetic Basis of Mastitis and Milk Production in Dairy Cattle.

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8.  Scientific report on the effects of farming systems on dairy cow welfare and disease.

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Journal:  EFSA J       Date:  2009-07-09

9.  From Invention to Innovation: Risk Analysis to Integrate One Health Technology in the Dairy Farm.

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10.  Genome-Wide DNA Methylation Analysis of Mammary Gland Tissues From Chinese Holstein Cows With Staphylococcus aureus Induced Mastitis.

Authors:  Mengqi Wang; Yan Liang; Eveline M Ibeagha-Awemu; Mingxun Li; Huimin Zhang; Zhi Chen; Yujia Sun; Niel A Karrow; Zhangping Yang; Yongjiang Mao
Journal:  Front Genet       Date:  2020-10-19       Impact factor: 4.599

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