Literature DB >> 19233812

Genetic parameters for major milk proteins in Dutch Holstein-Friesians.

G C B Schopen1, J M L Heck, H Bovenhuis, M H P W Visker, H J F van Valenberg, J A M van Arendonk.   

Abstract

The objective of this study was to estimate genetic parameters for major milk proteins. One morning milk sample was collected from 1,940 first-parity Holstein-Friesian cows in February or March 2005. Each sample was analyzed with capillary zone electrophoresis to determine the relative concentrations of the 6 major milk proteins. The results show that there is considerable genetic variation in milk protein composition. The intraherd heritabilities for the relative protein concentrations were high and ranged from 0.25 for beta-casein to 0.80 for beta-lactoglobulin. The intraherd heritability for the summed whey fractions (0.71) was higher than that for the summed casein fractions (0.41). Further, there was relatively more variation in the summed whey fraction (coefficient of variation was 11% and standard deviation was 1.23) compared with the summed casein fraction (coefficient of variation was 2% and standard deviation was 1.72). For the caseins and alpha-lactalbumin, the proportion of phenotypic variation explained by herd was approximately 14%. For beta-lactoglobulin, the proportion of phenotypic variation explained by herd was considerably lower (5%). Eighty percent of the genetic correlations among the relative contributions of the major milk proteins were between -0.38 and +0.45. The genetic correlations suggest that it is possible to change the relative proportion of caseins in milk. Strong negative genetic correlations were found for beta-lactoglobulin with the summed casein fractions (-0.76), and for beta-lactoglobulin with casein index (-0.98). This study suggests that there are opportunities to change the milk protein composition in the cow's milk using selective breeding.

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Year:  2009        PMID: 19233812     DOI: 10.3168/jds.2008-1281

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


  10 in total

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Journal:  BMC Genet       Date:  2016-08-02       Impact factor: 2.797

2.  Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits.

Authors:  Grum Gebreyesus; Mogens S Lund; Bart Buitenhuis; Henk Bovenhuis; Nina A Poulsen; Luc G Janss
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3.  Characterizing a region on BTA11 affecting β-lactoglobulin content of milk using high-density genotyping and haplotype grouping.

Authors:  Nicolas Bedere; Henk Bovenhuis
Journal:  BMC Genet       Date:  2017-02-22       Impact factor: 2.797

4.  Within-breed and multi-breed GWAS on imputed whole-genome sequence variants reveal candidate mutations affecting milk protein composition in dairy cattle.

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Journal:  Genet Sel Evol       Date:  2017-09-18       Impact factor: 4.297

5.  Genome-Wide Association Study for Milk Protein Composition Traits in a Chinese Holstein Population Using a Single-Step Approach.

Authors:  Chenghao Zhou; Cong Li; Wentao Cai; Shuli Liu; Hongwei Yin; Shaolei Shi; Qin Zhang; Shengli Zhang
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6.  Genes encoding equine β-lactoglobulin (LGB1 and LGB2): Polymorphism, expression, and impact on milk composition.

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Journal:  J Anim Breed Genet       Date:  2022-04-29       Impact factor: 3.271

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9.  SERPINA1 gene identified in RNA-Seq showed strong association with milk protein concentration in Chinese Holstein cows.

Authors:  Cong Li; Wentao Cai; Shuli Liu; Chenghao Zhou; Hongwei Yin; Dongxiao Sun; Shengli Zhang
Journal:  PeerJ       Date:  2020-02-24       Impact factor: 2.984

10.  A Novel SNPs in Alpha-Lactalbumin Gene Effects on Lactation Traits in Chinese Holstein Dairy Cows.

Authors:  Fan Yang; Manling Zhang; Yuewen Rong; Zaiqun Liu; Shuai Yang; Wei Zhang; Jun Li; Yafei Cai
Journal:  Animals (Basel)       Date:  2019-12-29       Impact factor: 2.752

  10 in total

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