Literature DB >> 20630247

Genome-wide scan to detect quantitative trait loci for milk urea nitrogen in Dutch Holstein-Friesian cows.

A C Bouwman1, G C B Schopen, H Bovenhuis, M H P W Visker, J A M van Arendonk.   

Abstract

Studies have reported genetic variation in milk urea nitrogen (MUN) between cows, suggesting genetic differences in nitrogen efficiency between cows. In this paper, the results of a genome-wide scan to identify quantitative trait loci (QTL) that contribute to genetic variation in MUN and MUN yield are presented. Two to 3 morning milk samples were taken from 1,926 cows, resulting in 5,502 test-day records. Test-day records were corrected for systematic environmental effects using a repeatability animal model. Averages of corrected phenotypes of 849 cows, belonging to 7 sire families, were used in an across-family multimarker regression approach to detect QTL. Animals were successfully genotyped for 1,341 single nucleotide polymorphisms. The QTL analysis resulted in 4 chromosomal regions with suggestive QTL: Bos taurus autosomes (BTA) 1, 6, 21, and 23. On BTA 1, 2 suggestive QTL affecting MUN were detected at 60 and 140 cM. On BTA 6, 1 suggestive QTL affecting both MUN and MUN yield was detected at 103 cM. On BTA 21, 1 suggestive QTL affecting MUN yield was detected at 83 cM. On BTA 23, 1 suggestive QTL affecting MUN was detected at 54 cM. Quantitative trait loci for MUN and MUN yield were suggestive and each explained between 2 and 3% of the phenotypic variance. Copyright (c) 2010 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20630247     DOI: 10.3168/jds.2009-2829

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


  6 in total

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2.  Using mid-infrared spectroscopy to increase GWAS power to detect QTL associated with blood urea nitrogen.

Authors:  Irene van den Berg; Phuong N Ho; Tuan V Nguyen; Mekonnen Haile-Mariam; Timothy D W Luke; Jennie E Pryce
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3.  GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle.

Authors:  Irene van den Berg; Phuong N Ho; Tuan V Nguyen; Mekonnen Haile-Mariam; Iona M MacLeod; Phil R Beatson; Erin O'Connor; Jennie E Pryce
Journal:  Genet Sel Evol       Date:  2022-02-19       Impact factor: 4.297

4.  Identification of Genomic Regions Influencing N-Metabolism and N-Excretion in Lactating Holstein- Friesians.

Authors:  Hanne Honerlagen; Henry Reyer; Michael Oster; Siriluck Ponsuksili; Nares Trakooljul; Björn Kuhla; Norbert Reinsch; Klaus Wimmers
Journal:  Front Genet       Date:  2021-07-14       Impact factor: 4.599

5.  Systematic microRNAome profiling reveals the roles of microRNAs in milk protein metabolism and quality: insights on low-quality forage utilization.

Authors:  Diming Wang; Guanxiang Liang; Bing Wang; Huizeng Sun; Jianxin Liu; Le Luo Guan
Journal:  Sci Rep       Date:  2016-02-17       Impact factor: 4.379

6.  Identification of Genomic Regions Associated with Concentrations of Milk Fat, Protein, Urea and Efficiency of Crude Protein Utilization in Grazing Dairy Cows.

Authors:  Hewa Bahithige Pavithra Chathurangi Ariyarathne; Martin Correa-Luna; Hugh Thomas Blair; Dorian John Garrick; Nicolas Lopez-Villalobos
Journal:  Genes (Basel)       Date:  2021-03-23       Impact factor: 4.096

  6 in total

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