Literature DB >> 11204717

Putative quantitative trait locus affecting birth weight on bovine chromosome 2.

M D Grosz1, M D MacNeil.   

Abstract

A genome scan for chromosomal regions influencing birth weight was performed using 151 progeny of a single Hereford x composite bull and 170 microsatellite markers spanning 2.497 morgans on 29 bovine autosomes. A QTL was identified at the telomeric end of bovine chromosome 2 (maximum effect at 114 cM) accounting for approximately 2.8 kg of birth weight or 0.64 residual standard deviations (after adjustment for sex of calf, age of dam, and breed of dam). No significant effect on growth from birth to weaning was detected in this region. The presence of this QTL within a resource herd composed of breeds common to the Northern Great Plains provides an opportunity to initiate marker-assisted selection to reduce birth weight with minimal effect on postnatal growth. Thus, potentially the amount and degree of dystocia can be reduced and the economic loss associated with calving difficulty lessened without compromise of subsequent growth performance. In addition, this finding indicates that significant genetic variation for birth weight (and presumably other production-related traits) exists within herds composed of commercially adapted Bos taurus germplasm.

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Year:  2001        PMID: 11204717     DOI: 10.2527/2001.79168x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  4 in total

1.  Marker genotypes and population admixture and their association with body weight, height and relative body mass in United States federal bison herds.

Authors:  Solomon K Musani; Natalie D Halbert; David T Redden; David B Allison; James N Derr
Journal:  Genetics       Date:  2006-08-03       Impact factor: 4.562

2.  A genome scan for quantitative trait loci in a wild population of red deer (Cervus elaphus).

Authors:  J Slate; P M Visscher; S MacGregor; D Stevens; M L Tate; J M Pemberton
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

3.  Bovine genomics from academia to industry.

Authors:  David Henderson; Milt Thomas; Yang Da
Journal:  Comp Funct Genomics       Date:  2005

4.  Genome-wide association study for calving performance using high-density genotypes in dairy and beef cattle.

Authors:  Deirdre C Purfield; Daniel G Bradley; Ross D Evans; Francis J Kearney; Donagh P Berry
Journal:  Genet Sel Evol       Date:  2015-06-12       Impact factor: 4.297

  4 in total

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