An F(2) resource population, derived from a broiler x layer cross, was used to map quantitative trait loci (QTL) for body weights at days 1, 35 and 41, weight gain, feed intake, feed efficiency from 35 to 41 days and intestinal length. Up to 577 F(2) chickens were genotyped with 103 genetic markers covering 21 linkage groups. A preliminary QTL mapping report using this same population focused exclusively on GGA1. Regression methods were applied to line-cross and half-sib models for QTL interval mapping. Under the line-cross model, eight QTL were detected for body weight at 35 days (GGA2, 3 and 4), body weight at 41 days (GGA2, 3, 4 and 10) and intestine length (GGA4). Under the half-sib model, using sire as common parent, five QTL were detected for body weight at day 1 (GGA3 and 18), body weight at 35 days (GGA2 and 3) and body weight at 41 days (GGA3). When dam was used as common parent, seven QTL were mapped for body weight at day 1 (GGA2), body weight at day 35 (GGA2, 3 and 4) and body weight at day 41 (GGA2, 3 and 4). Growth differences in chicken lines appear to be controlled by a chronological change in a limited number of chromosomal regions.

An F(2) population established by crossing a broiler male line and a layer line was used to map quantitative trait loci (QTL) affecting abdominal fat weight, abdominal fat percentage and serum cholesterol and triglyceride concentrations. Two genetic models, the line-cross and the half-sib, were applied in the QTL analysis, both using the regression interval method. Three significant QTL and four suggestive QTL were mapped in the line-cross analysis and four significant and four suggestive QTL were mapped in the half-sib analysis. A total of five QTL were mapped for abdominal fat weight, six for abdominal fat percentage and four for triglyceride concentration in both analyses. New QTL associated with serum triglyceride concentration were mapped on GGA5, GGA23 and GG27. QTL mapped between markers LEI0029 and ADL0371 on GGA3 for abdominal fat percentage and abdominal fat weight and a suggestive QTL on GGA12 for abdominal fat percentage showed significant parent-of-origin effects. Some QTL mapped here match QTL regions mapped in previous studies using different populations, suggesting good candidate regions for fine-mapping and candidate gene searches.

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.

Selective genotyping for a certain trait in individuals with extreme phenotypes contributes sufficient information to determine linkage between molecular markers and quantitative trait loci (QTL). In this experiment an F 2 population, developed by crossing males from a broiler line with females from a layer line, was employed to detect QTL on chromosomes 3 and 5. Twenty-eight performance and carcass traits were measured in F 2 offspring, and phenotypic correlations between traits were calculated. Body weight at 42 days (BW42) presented the greatest positive correlations with most other traits, with correlation between body weights at 35 and 41 days, weight gain between birth and 35, 41 and 42 days, as well as weights of carcass and some body parts superior to 0.8. One hundred-and-seventy F 2 offspring, representing the top (4.5%) and the bottom (4.5%) of a normal distribution curve of BW42, were selected with equal proportions of males and females, and within dam family. Samples were genotyped for 19 informative markers on chromosome 3, and 11 markers on chromosome 5. Marker allelic frequencies of phenotypic groups with high and low BW42 were compared with a chi-square test. Four regions on chromosome 3 and three regions on chromosome 5 had markers that were suggestively associated with BW42 (P < 0.10), confirming and expanding previous studies. Key words: QTL, broiler, selective genotyping, body weight SELEÇÃO ESTRATÉGICA DE MARCADORES PARA DETECÇÃO DE LOCOS PARA CARACTERÍSTICAS QUANTITATIVAS EM AVESRESUMO: A genotipagem seletiva de indivíduos com fenótipos extremos para uma determinada característica contribui com informação suficiente para determinar a ligação entre marcadores moleculares e locos para características quantitativas (QTL). Neste estudo uma população F 2 , formada a partir do cruzamento de uma linha parental de aves para corte com uma linha de postura foi empregada para obtenção de medidas fenotípicas e genotipagem por marcadores microssatélites, posicionados nos cromossomos 3 e 5. Foram medidas 28 características de desempenho e carcaça e determinada a correlação fenotípica entre elas. A característica peso vivo aos 42 dias (BW42) apresentou maior correlação positiva com a maioria das características, com correlação entre pesos vivos aos 35, 41 dias, ganhos de peso do nascimento aos 35, 41 e 42 dias, e pesos de carcaça e partes superiores a 0,8. Cento e setenta aves F 2 , representando 4,5% das aves mais leves e 4,5% das mais pesadas para BW42 foram selecionadas dentro de famílias, na mesma proporção de machos e fêmeas e genotipadas para 19 marcadores informativos no cromossomo 3 e 11 no cromossomo 5. As freqüências alélicas dos marcadores nos grupos fenotípicos de alto e baixo BW42 foram comparadas empregando teste de qui-quadrado. Foram identificadas quatro regiões no cromossomo 3 e três regiões no cromossomo 5 sugestivamente ligadas a QTL para BW42 (P < 0,10), confirmando e expandindo estudos anteriores de mapeamento de QTL em aves.

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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 generations of crossbreeding between a broiler and a layer line. Fifty-one microsatellite markers were tested, from which 28 were informative: 4, 8, 7, 4 and 5 for chromosomes 6, 7, 8, 11 and 13, respectively. A SNP located in the leptin receptor gene was included for chromosome 8. Ten parental, 8 F 1 and 459 F 2 chickens from five full-sib families were genotyped with these markers. The number of total informative meioses per locus varied from 232 to 862, and the number of phaseknown informative meioses from 0 to 764. Marker orders in the chromosomes coincided with those of the chicken consensus map, except for markers ADL0147 and MCW0213, on chromosome 13, which were inverted. The reduced number of phase-known informative meioses for ADL0147 (150) may be pointed out as a possible cause for this inversion, apart from the relative short distance between the two markers involved in the inversion (10.5 cM).

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De todos os pensamentos e emoções Nem mesmo o tigre encontra espaço Para cravar suas garras afiadas" Um monge taoísta AGRADECIMENTOS Ao Prof. Dr. Luiz Lehmann Coutinho, pela oportunidade, orientação e confiança. À Profª. Dra. Ana Síliva Alves Meira Tavares Moura, pela orientação, paciência e apoio durante todo o projeto. À Dra. Mônica Corrêa Ledur, pela colaboração que foram essenciais para o andamento do projeto. À Raquel de Lello Rocha Campos pela oportunidade, confiança, paciência, respeito e amizade. À Fapesp pela concessão da bolsa de estudos. À Embrapa Suínos e Aves, pelo apoio financeiro ao desenvolvimento deste trabalho. Às Doutoras Deborah C. Ruy, Érika E. Elias Baron e Kátia Nones, pessoas muito queridas que foram fundamentais para o desenvolvimento deste estudo. Ao colega Millor, que proporcionou ensinamentos e orientações que foram muito valiosas.À colega Clarissa Boschiero, pela amizade e troca de experiências. Aos técnicos do laboratório de Biotecnologia Animal Jorge Luiz Ferreira de Andrade eNirlei Aparecida Silva pela grande amizade e apoio durante todos estes anos de estudo. À Helena Javiel Alves, pela orientação, amizade e boas conversas. À Lilian Giotto Zaros pela colaboração, ajuda e momentos de descontração.Ao colega Luis Fernando Pinto, pela ajuda e orientação com as análises estatísticas e cromossomo Z.A todos os colegas do laboratório de Biotecnologia Animal pela troca de experiências e convívio, que sem dúvida contribuíram muito para o desenvolvimento e conclusão deste projeto.