TAILIEUCHUNG - Báo cáo khoa hoc:" Detection of quantitative trait loci for growth and fatness in pigs"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Detection of quantitative trait loci for growth and fatness in pigs | 289 Genet. Sel. Evol. 33 2001 289-309 INRA EDP Sciences 2001 Original article Detection of quantitative trait loci for growth anf fatnsss in pigs Jean-Pierre BiDANELa Denis MiLANb Nathalie lANNuccELLib Yves Amiguesc Marie-Yvonne Boscherc Florence Bourgeoisc Jean-Claude CARiTEzn Joseph GRUANDe Pascale Le RoYa Hervé LAGANTa Raquel QuiNTANiLLAa Christine RENARDf Joel GELLiNb Louis OLLiViERa Claude CHEVALETb institut national de la recherche agronomique France a Station de génétique quantitative et appliquée 78352 Jouy-en-Josas Cedex b Laboratoire de génétique cellulaire 31326 Castanet Tolosan Cedex c Labogéna 78352 Jouy-en-Josas Cedex d Domaine expérimental du Magneraud 17700 Surgères e Station expérimentale de sélection porcine 86480 Rouillé f Laboratoire de radiobiologie et d étude du génome 78352 Jouy-en-Josas Cedex Received 27 October 2000 accepted 11 January 000 Abstract - A quantitative trait locus QTL analysis of growth and fatness data from a three-generation experimental cross between Meishan MS and Large White LW pig breeds is presented. Six boars and 23 F1 sows the progeny of six LW boars and six MS sows produced 530 F2 males and 573 F2 females. Nine growth traits . body weight at birth and at 3 10 13 17 and 22 weeks of age average daily gain from birth to 3 weeks from 3 to 10 weeks and from 10 to 22 weeks of age as well as backfat thickness at 13 17 and 22 weeks of age and at 40 and 60 kg live weight were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using two interval mapping methods a linecross LC regression method where founder lines were assumed to be fixed for different QTL alleles and a half- full-sib HFS maximum likelihood method where allele substitution effects were estimated within each half- full-sib family. Both methods revealed highly significant gene effects for growth on chromosomes 1 4 and 7 and for backfat thickness on chromosomes 1 4 5 7 and X and significant gene .

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