QTL for percentage of carcass and carcass parts in a broiler x layer cross

Baron, Erica Elias; Moura, Ana Silvia Alves Meira Tavares; Ledur, Mônica Corrêa; Pinto, L. F. B.; Boschiero, Clarissa; Ruy, Deborah Clea; Nones, Kátia; Zanella, Eraldo Lourenso; Rosário, Millor Fernandes do; Burt, David W.; Coutinho, Luiz Lehmann

doi:10.1111/j.1365-2052.2010.02105.x

Cited by 27 publications

(45 citation statements)

References 29 publications

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“…Ambo et al (2009), studying the same population of broilers, mapped QTL for body weight traits at 35 and 41 days of age on the GGA4, exactly in the same chromosome region where QTL for tibia width and weight were mapped (MCW0240-LEI0063). Within this chromosome region, Baron et al (2011) mapped QTL for drums and thighs; Schreiweis et al (2005) for tibia area, length, and width; and Sharman et al (2007) for tibia bone mineral density, and femur weight.…”

Section: Quantitative Trait Loci Mappingmentioning

confidence: 99%

“…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).…”

Section: Quantitative Trait Loci Mappingmentioning

confidence: 99%

“…This same chromosome region has been associated with body weight at 35 days of age (Ambo et al, 2009) and with carcass percentage (Baron et al, 2011). The melanocortin-4 receptor gene (MC4R), which has been associated with the weights of body, carcass, and leg muscle in broilers, is mapped to this QTL region, and is considered an important candidate gene for carcass traits such as body weight and growth (Qiu et al, 2006).…”

Section: Quantitative Trait Loci Mappingmentioning

confidence: 99%

“…Baron et al (2011) mapped one QTL region adjacent to this region to percentage of wings, drums, and thighs related to body weight at 42 days of age. There are no reports in the literature describing QTL for bone traits in that chromosome region.…”

Section: Quantitative Trait Loci Mappingmentioning

confidence: 99%

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

Ragognetti¹,

Stafuzza²,

Silva³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. Selection among broilers for performance traits is resulting in locomotion problems and bone disorders, once skeletal structure is not strong enough to support body weight in broilers with high growth rates. In this study, genetic parameters were estimated for body weight at 42 days of age (BW42), and tibia traits (length, width, and weight) in a population of broiler chickens. Quantitative trait loci (QTL) were identified for tibia traits to expand our knowledge of the genetic architecture of the broiler population. Genetic correlations ranged from 0.56 ± 0.18 (between tibia length and BW42) to 0.89 ± 0.06 (between tibia width and weight), suggesting that these traits are either controlled by pleiotropic genes or by genes that are in linkage disequilibrium. For QTL mapping, the genome was scanned with 127 microsatellites, representing a coverage of 2630 cM. Eight QTL were mapped on Gallus gallus chromosomes (GGA): GGA1, GGA4, GGA6, GGA13, and GGA24. The QTL regions for tibia length and weight were mapped on GGA1, between LEI0079 and MCW145 markers. The gene 17545 Genetic parameters and QTL mapping in broilers ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (4): 17544-17554 (2015) DACH1 is located in this region; this gene acts to form the apical ectodermal ridge, responsible for limb development. Body weight at 42 days of age was included in the model as a covariate for selection effect of bone traits. Two QTL were found for tibia weight on GGA2 and GGA4, and one for tibia width on GGA3. Information originating from these QTL will assist in the search for candidate genes for these bone traits in future studies.

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Section: Quantitative Trait Loci Mappingmentioning

confidence: 99%

Section: Quantitative Trait Loci Mappingmentioning

confidence: 99%

Section: Quantitative Trait Loci Mappingmentioning

confidence: 99%

Section: Quantitative Trait Loci Mappingmentioning

confidence: 99%

See 2 more Smart Citations

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

Ragognetti¹,

Stafuzza²,

Silva³

et al. 2015

Genet. Mol. Res.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In a previous study, Ambo et al (2009), working with an experimental F 2 population derived from a cross between a layer and a broiler line from Embrapa, mapped a QTL for body weight at 35 and 42 days between microsatellite markers MCW0240 (198.7 cM) and LEI0063 (235.2 cM) in chicken chromosome 4. In a different study with the same population, Baron et al (2010) mapped a QTL for percentage of thighs and drumsticks in the same region of chromosome 4. The study of this QTL region allowed the identification of 2 candidate genes potentially associated with traits of economic interest: fibroblast growth factor binding protein 1 (FGFBP1) and fibroblast growth factor binding protein 2 (FGFBP2).…”

Section: Introductionmentioning

confidence: 99%

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

Felício¹,

Boschiero²,

Balieiro³

et al. 2013

Genet. Mol. Res.

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ABSTRACT. In the past, the focus of broiler breeding programs on yield and carcass traits improvement led to problems related to meat quality. Awareness of public concern for quality resulted in inclusion of meat quality traits in the evaluation process. Nevertheless, few genes associated with meat quality attributes are known. Previous studies mapped quantitative trait loci for weight at 35 and 42 days in a region of GGA4 flanked by the microsatellite markers, MCW0240 and LEI0063. In this region, there are 2 fibroblast growth factor binding protein (FGFBP) genes that play an important role in embryogenesis, cellular Associations of FGFBP1 and FGFBP2 polymorphisms in chickens differentiation, and proliferation in chickens. The objective of this study was to identify and associate single nucleotide polymorphisms (SNPs) in FGFBP1 and FGFBP2 with performance, carcass, and meat quality in experimental and commercial chicken populations. In the commercial population, SNP g.2014G>A in FGFBP1 was associated with decreased carcass weight (P < 0.05), and SNP g.651G>A in FGFBP2 was associated with thawing loss and meat redness content (P < 0.05). Four haplotypes were constructed based on 2 SNPs and were associated with breast weight, thawing loss, and meat redness content. The diplotypes were associated with thawing loss, lightness, and redness content. The SNPs evaluated in the present study may be used as markers in poultry breeding programs to aid in improving growth and meat quality traits.

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Composite interval mapping and mixed models reveal QTL associated with performance and carcass traits on chicken chromosomes 1, 3, and 4

et al. 2013

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Interval mapping (IM) implemented in QTL Express or GridQTL is widely used, but presents some limitations, such as restriction to a fixed model, risk of mapping two QTL when there may be only one and no discrimination of two or more QTL using both cofactors located on the same and other chromosomes. These limitations were overcome with composite interval mapping (CIM). We reported QTL associated with performance and carcass traits on chicken chromosomes 1, 3, and 4 through implementation of CIM and analysis of phenotypic data using mixed models. Thirty-four microsatellite markers were used to genotype 360 F2 chickens from crosses between males from a layer line and females from a broiler line. Sixteen QTL were mapped using CIM and 14 QTL with IM. Furthermore, of those 30 QTL, six were mapped only when CIM was used: for body weight at 35 days (first and third peaks on GGA4), body weight at 41 days (GGA1B and second peak on GGA4), and weights of back and legs (both on GGA4). Three new regions had evidence for QTL presence: one on GGA1B associated with feed intake 35-41 d at 404 cM (LEI0107-ADL0183) and two on GGA4 associated with weight of back at 163 cM (LEI0076-MCW0240) and weight gain 35-41 d, feed efficiency 35-41 d and weight of legs at 241 cM (LEI0085-MCW0174). We dissected one more linked QTL on GGA4, where three QTL for BW35 and two QTL for BW41 were mapped. Therefore, these new regions mapped here need further investigations using high-density SNP to confirm these QTL and identify candidate genes associated with those traits.

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QTL for percentage of carcass and carcass parts in a broiler x layer cross

Cited by 27 publications

References 29 publications

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

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

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

Composite interval mapping and mixed models reveal QTL associated with performance and carcass traits on chicken chromosomes 1, 3, and 4

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