2008
DOI: 10.1590/s0103-90162008000500001
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Genetic linkage maps of chicken chromosomes 6, 7, 8, 11 and 13 from a Brazilian resource population

Abstract: A linkage map is essential not only for quantitative trait loci (QTL) mapping, but also for the organization and location of genes along the chromosomes. The present study is part of a project whose major objective is, besides from construction the linkage maps, the whole genome scan for mapping QTL for performance traits in the Brazilian experimental chicken population. Linkage maps of chicken chromosomes 6 to 8, 11 and 13 were constructed based on this population. The population was developed from two genera… Show more

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Cited by 11 publications
(8 citation statements)
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“…These populations have been used for QTL mapping for performance and carcass traits Ruy et al, 2005;Ambo et al, 2008).…”
Section: Resultsmentioning
confidence: 99%
“…These populations have been used for QTL mapping for performance and carcass traits Ruy et al, 2005;Ambo et al, 2008).…”
Section: Resultsmentioning
confidence: 99%
“…With the advantage of DNA investigation technologies, the ability to identify molecular markers that are used to construct linkage maps has improved (Mackay, 2001), allowing the detection of hundreds of quantitative trait loci (QTLs; dbQTL, http://www.animalgenome.org/cgibin/QTLdb/index). Several studies using microsatellite markers have identified QTLs associated with production traits across the chicken genome (Zhou et al, 2006;Ambo et al, 2008Ambo et al, , 2009Campos et al, 2009;Ankra-Badu et al, 2010;Baron et al, 2010;Nones et al, 2012;Nassar et al, 2013). Other studies that have used single nucleotide polymorphism (SNP) markers have identified genetic associations and linkage with production, health, and behavioral traits in farm animals (Zanella et al, 2011;McSpadden et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have been conducted in chickens using markers randomly distributed in the genome (microsatellites), which have allowed the identification of several QTLs for production traits 3 4 5 6 7 8 9 10 11 12 13 . Following these, some of the studies have focused their attention on the identification of SNPs in functional and positional candidate genes and to test their association on target QTL regions 14 15 16 17 18 19 .…”
mentioning
confidence: 99%