Literature DB >> 11178740

Detection of QTL for milk production on Chromosomes 1 and 6 of Holstein cattle.

J Nadesalingam1, Y Plante, J P Gibson.   

Abstract

Seventy to 75 sons of each of six Holstein sires were assayed for genotypes at a number of microsatellite loci spanning Chromosomes (Chrs) 1 and 6. The number of informative loci varied from three to eight on each chromosome in different sire families. Linkage order and map distance for microsatellite loci were estimated using CRI-MAP. Estimates of QTL effect and location were made by using a least squares interval mapping approach based on daughter yield deviations of sons for 305-d milk, fat, protein yield, and fat and protein percentage. Thresholds for statistical significance of QTL effects were determined from interval mapping of 10,000 random permutations of the data across the bull sire families and within each sire family separately. Across-sire analyses indicated a significant QTL for fat and protein yield, and fat percentage on Chr 1, and QTL effects on milk yield and protein percentage that might represent one or two QTL on Chr 6. Analyses within each sire family indicated significant QTL effects in five sire families, with one sire possibly being heterozygous for two QTLs. Statistically significant estimates of QTL effects on breeding value ranged from 340 to 640 kg of milk, from 15.6 to 28.4 kg of fat, and 14.4 to 17.6 kg of protein.

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Year:  2001        PMID: 11178740     DOI: 10.1007/s003350010232

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  13 in total

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Authors:  M Ron; D Kliger; E Feldmesser; E Seroussi; E Ezra; J I Weller
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

2.  QTL mapping in outbred half-sib families using Bayesian model selection.

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Journal:  Heredity (Edinb)       Date:  2011-04-13       Impact factor: 3.821

3.  The Association of Bovine Osteopontin (OPN) Gene with Milk Production Traits in Iranian Holstein Bulls.

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4.  Modelling QTL effect on BTA06 using random regression test day models.

Authors:  T Suchocki; J Szyda; Q Zhang
Journal:  J Appl Genet       Date:  2012-10-02       Impact factor: 3.240

5.  Identification of a missense mutation in the bovine ABCG2 gene with a major effect on the QTL on chromosome 6 affecting milk yield and composition in Holstein cattle.

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

6.  Large-effect pleiotropic or closely linked QTL segregate within and across ten US cattle breeds.

Authors:  Mahdi Saatchi; Robert D Schnabel; Jeremy F Taylor; Dorian J Garrick
Journal:  BMC Genomics       Date:  2014-06-06       Impact factor: 3.969

7.  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

8.  Osteopontin: an early innate immune marker of Escherichia coli mastitis harbors genetic polymorphisms with possible links with resistance to mastitis.

Authors:  Karin Alain; Niel A Karrow; Catherine Thibault; Jessika St-Pierre; Martin Lessard; Nathalie Bissonnette
Journal:  BMC Genomics       Date:  2009-09-18       Impact factor: 3.969

9.  Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines.

Authors:  Klara L Verbyla; Arunas P Verbyla
Journal:  Genet Sel Evol       Date:  2009-11-05       Impact factor: 4.297

10.  Effect of the myostatin locus on muscle mass and intramuscular fat content in a cross between mouse lines selected for hypermuscularity.

Authors:  Stefan Kärst; Eva M Strucken; Armin O Schmitt; Alexandra Weyrich; Fernando P M de Villena; Hyuna Yang; Gudrun A Brockmann
Journal:  BMC Genomics       Date:  2013-01-16       Impact factor: 3.969

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