2009
DOI: 10.2527/jas.2008-0922
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Search for quantitative trait loci affecting growth and carcass traits in a cross population of beef and dairy cattle1

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Cited by 70 publications
(76 citation statements)
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“…These fitness traits have high genetic correlations with BW and indicate that genes of interest to reproductive efficiency are possible located on these chromosomes, but are still unidentified. A number of putative QTL for BW in cattle have been identified on BTA 5 (Casas et al, 2003;Gutiérrez-Gil et al, 2009;RogbergMuñoz et al, 2011) and at least two relevant genes, namely Myogenic factor 5 (Myf5) and Insulin-like Growth Factor 1 (IGF1) playing a role in growth physiology has been mapped to this chromosome (Rogberg-Muñoz et al, 2011). No such association was however found on corresponding chromosome CHI 5 in the current study.…”
Section: Discussioncontrasting
confidence: 46%
“…These fitness traits have high genetic correlations with BW and indicate that genes of interest to reproductive efficiency are possible located on these chromosomes, but are still unidentified. A number of putative QTL for BW in cattle have been identified on BTA 5 (Casas et al, 2003;Gutiérrez-Gil et al, 2009;RogbergMuñoz et al, 2011) and at least two relevant genes, namely Myogenic factor 5 (Myf5) and Insulin-like Growth Factor 1 (IGF1) playing a role in growth physiology has been mapped to this chromosome (Rogberg-Muñoz et al, 2011). No such association was however found on corresponding chromosome CHI 5 in the current study.…”
Section: Discussioncontrasting
confidence: 46%
“…Thus, both polymorphisms can be excluded as a cause for the QTL investigated in this study. Gutierrez-Gil et al (2009) pointed out that the QTL affecting fetal growth they described in the interval 27-65 cM on BTA6 seems to primarily affect bone growth. This would support homology of the bovine QTL on BTA6 to the NCAPG/LCORL locus on human chromosome 4 (HSA4) affecting height (Gudbjartsson et al 2008;Weedon et al 2008), which is also determined by bone growth.…”
Section: Discussionmentioning
confidence: 99%
“…In the literature, several studies in different dairy and beef cattle populations concurrently reported that bovine chromosome 6 (BTA6) harbors quantitative trait loci (QTL) affecting fetal growth (Davis et al 1998;Casas et al 2000;Kneeland et al 2004;Gutierrez-Gil et al 2009;Maltecca et al 2009). These results were in line with other studies providing evidence for QTL affecting stillbirth, dystocia, or calving ease on the same chromosome (Schrooten et al 2000;Kü hn et al 2003;Holmberg and Andersson-Eklund 2006;Kolbehdari et al 2008;Olsen et al 2008;Schulman et al 2008).…”
mentioning
confidence: 99%
“…Experimental cross populations have been widely used in pig and chicken populations. Also in cattle, there are some examples exploiting this kind of design by crossing the highly specialized dairy Holstein breed with a beef producer breed although published results are relative to other traits different to dairy traits (Eberlein et al, 2009;Gutiérrez-Gil et al, 2009c). In sheep, genome scans for mapping QTL influencing milk traits based on experimental crosses have been performed using a Sarda x Lacaune backcross population (Carta et al, 2002;Barillet et al, 2006) and a Awassi × Merino backcross family population .…”
Section: Cross-bred Experimental Populationsmentioning
confidence: 99%
“…From the initial studies on milk protein polymorphisms (Reviewed by Barillet et al, 2005), and the first description of a QTL in a dairy sheep breed (Diez-Tascón et al, 2001), some few reports of genome scans to identify QTL influencing milk production traits in this species can be found (Gutiérrez-Gil et al, 2009a;). The lower number of projects searching milk-related QTL in sheep when compared with the number of studies carried out in dairy cattle can be partially explained by the funding limitations that exist, for example, to establish a sheep experimental population as has been done in cattle in several occasions (Gutiérrez-Gil et al, 2009c;Eberlein et al, 2009). Other reasons contributing to the limited number of genome scans carried out in sheep are the great diversity of productive breeds and the different management systems that can be found in this species, which suggest that the implementation of molecular information in different sheep populations will not be as straightforward as in the case of dairy cattle.…”
Section: Introductionmentioning
confidence: 99%