Literature DB >> 12487480

A genome scan for quantitative trait loci affecting milk production in Norwegian dairy cattle.

H G Olsen1, L Gomez-Raya, D I Våge, I Olsaker, H Klungland, M Svendsen, T Adnøy, A Sabry, G Klemetsdal, N Schulman, W Krämer, G Thaller, K Rønningen, S Lien.   

Abstract

An autosomal genome scan for quantitative trait loci (QTL) affecting milk production traits was carried out on the Norwegian Dairy Cattle population. Six half-sibling families with a total of 285 sons organized according to a granddaughter design were analyzed by a multiple marker regression method. Suggestive QTL for one or several of the five milk traits (milk yield, protein percentage, protein yield, fat percentage and fat yield) were detected on chromosomes 3, 5, 6, 11, 13, 18 and 20. Among these results, the findings on chromosomes 3, 6, and 20 are highly supported by literature. The most convincing result was found close to marker FBN9 on chromosome 6, where a QTL was detected with alleles that cause a marked reduction in both protein and fat percentages and an increase in milk yield. The results for fat and protein percentage were highly significant even after accounting for multiple testing across the genome. Using bootstrapping, a 95% confidence interval for the position of the QTL for the percentage traits on chromosome 6 was estimated to 16 cM.

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Year:  2002        PMID: 12487480     DOI: 10.3168/jds.S0022-0302(02)74400-7

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


  16 in total

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Journal:  Mol Biol Rep       Date:  2013-05-09       Impact factor: 2.316

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Authors:  Miri Cohen-Zinder; Eyal Seroussi; Denis M Larkin; Juan J Loor; Annelie Everts-van der Wind; Jun-Heon Lee; James K Drackley; Mark R Band; A G Hernandez; Moshe Shani; Harris A Lewin; Joel I Weller; Micha Ron
Journal:  Genome Res       Date:  2005-07       Impact factor: 9.043

3.  Polymorphisms of the IL8 gene correlate with milking traits, SCS and mRNA level in Chinese Holstein.

Authors:  Renjin Chen; Zhangping Yang; Dejun Ji; Yongjiang Mao; Ying Chen; Yunlong Li; Haitao Wu; Xiaolong Wang; Lingling Chang
Journal:  Mol Biol Rep       Date:  2010-11-27       Impact factor: 2.316

4.  Investigation of major gene for milk yield, milking speed, dry matter intake, and body weight in dairy cattle.

Authors:  Burak Karacaören; Haja N Kadarmideen; Luc L G Janss
Journal:  J Appl Genet       Date:  2006       Impact factor: 3.240

5.  In silico QTL mapping of maternal nurturing ability with the mouse diversity panel.

Authors:  D L Hadsell; J Wei; W Olea; L A Hadsell; A Renwick; P C Thomson; M Shariflou; P Williamson
Journal:  Physiol Genomics       Date:  2012-07-03       Impact factor: 3.107

6.  Exploration of allelic variants in short tandem repeats (STRs) flanking milk production QTLs and their association with milk production traits in Indian water buffaloes.

Authors:  A Vani; Subodh Kumar; Sanjeev Kumar; Anuj Chauhan; Nihar Ranjan Sahoo; Med Ram Verma; A K S Tomar; Pushpendra Kumar
Journal:  Trop Anim Health Prod       Date:  2022-06-30       Impact factor: 1.893

7.  Quantitative trait locus-by-environment interaction for milk yield traits on Bos taurus autosome 6.

Authors:  Marie Lillehammer; Mike E Goddard; Heidi Nilsen; Erling Sehested; Hanne Gro Olsen; Sigbjørn Lien; Theo H E Meuwissen
Journal:  Genetics       Date:  2008-06-18       Impact factor: 4.562

8.  Mapping of a milk production quantitative trait locus to a 420-kb region on bovine chromosome 6.

Authors:  Hanne Gro Olsen; Sigbjørn Lien; Mathieu Gautier; Heidi Nilsen; Arne Roseth; Paul R Berg; Kristil K Sundsaasen; Morten Svendsen; Theo H E Meuwissen
Journal:  Genetics       Date:  2004-09-30       Impact factor: 4.562

9.  Genome-wide associations for milk production and somatic cell score in Holstein-Friesian cattle in Ireland.

Authors:  Brian K Meredith; Francis J Kearney; Emma K Finlay; Daniel G Bradley; Alan G Fahey; Donagh P Berry; David J Lynn
Journal:  BMC Genet       Date:  2012-03-26       Impact factor: 2.797

10.  A novel dynamic impact approach (DIA) for functional analysis of time-course omics studies: validation using the bovine mammary transcriptome.

Authors:  Massimo Bionaz; Kathiravan Periasamy; Sandra L Rodriguez-Zas; Walter L Hurley; Juan J Loor
Journal:  PLoS One       Date:  2012-03-16       Impact factor: 3.240

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