Quantitative trait loci associated with chemical composition of the chicken carcass

Abstract

Major objectives of the poultry industry are to increase meat production and to reduce carcass fatness, mainly abdominal fat. Information on growth performance and carcass composition are important for the selection of leaner meat chickens. To enhance our understanding of the genetic architecture underlying the chemical composition of chicken carcasses, an F(2) population developed from a broiler × layer cross was used to map quantitative trait loci (QTL) affecting protein, fat, water and ash contents in chicken carcasses. Two genetic models were applied in the QTL analysis: the line-cross and the half-sib models, both using the regression interval mapping method. Six significant and five suggestive QTL were mapped in the line-cross analysis, and four significant and six suggestive QTL were mapped in the half-sib analysis. A total of eleven QTL were mapped for fat (ether extract), five for protein, four for ash and one for water contents in the carcass using both analyses. No study to date has reported QTL for carcass chemical composition in chickens. Some QTL mapped here for carcass fat content match, as expected, QTL regions previously associated with abdominal fat in the same or in different populations, and novel QTL for protein, ash and water contents in the carcass are presented here. The results described here also reinforce the need for fine mapping and to perform multi-trait analyses to better understand the genetic architecture of these traits.

Polymorphisms in FGFBP1 and FGFBP2 genes associated with carcass and meat quality traits in chickens

“…The details of the description of the chemical composition are described in the previous report by Nones et al (2012).…”

Genetic parameters and mapping quantitative trait loci associated with tibia traits in broilers

“…Without adjusting BW42 as a covariate, many QTL regions were mapped for these traits nearby regions associated with BW42 in the same population used in this study (Nones et al, 2006;Ambo et al, 2009;Campos et al, 2009;Baron et al, 2011;Nones et al, 2012). When BW42 was included as a covariate in the model, only three QTL were mapped: two for tibia weight and another for tibia width (Table 3).…”

“…Sharman et al (2007) also mapped QTL for tibia weight on GGA1, in the region flanked by markers MCW0297 and LEI0146. Nones et al (2012) mapped QTL for carcass chemical composition on GGA1 using the same population as that used in the current study and they mapped QTL region for fat/dry matter flanked by markers MCW0297-LEI0146 and QTL for fat flanked by markers LEI0146-LEI0174. The highest genetic association in this study was estimated for the tibia width and weight (0.89 ± 0.06).…”

Identificação de polimorfismos em genes candidatos associados com características de desempenho, carcaça, desenvolvimento muscular e qualidade de carne em Gallus gallus

“…Na população TCTC foram construídos mapas de ligação e foram mapeados inúmeros QTLs para características de desempenho e carcaça no cromossomo 1 (NONES et al, 2006), em outros cromossomos (MOURA et al, 2006;RUY et al, 2007) e em todo o genoma (AMBO et al, 2009;CAMPOS et al, 2009;BARON et al, 2010;NONES et al, 2012). Na população CTCT, trabalhos iniciais envolveram o estudo dos cromossomos 1, 3 e 4 e a construção de mapas de ligação (ROSÁRIO, et al, , 2010.…”