TAILIEUCHUNG - Báo cáo sinh học: " Detection of quantitative trait loci for carcass composition traits 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 carcass composition traits in pigs | 705 Genet. Sel. Evol. 34 2002 705-728 INRA EDP Sciences 2002 DOI gse 2002026 Original article Detection of quantitative trait loci for carcass composition traits in pigs Denis MiLANa Jean-Pierre BiDANELb Nathalie lANNUCCELLia Juliette RIQUETa Yves Amiguesc Joseph GRUANDd Pascale Le ROYb Christine RENARDe Claude CHEVALETa a Laboratoire de génétique cellulaire Institut national de la recherche agronomique 31326 Castanet-Tolosan Cedex France b Station de génétique quantitative et appliquée Institut national de la recherche agronomique 78352 Jouy-en-Josas Cedex France c LABOGENA Institut national de la recherche agronomique 78352 Jouy-en-Josas Cedex France d Station expérimentale de sélection porcine Institut national de la recherche agronomique 86480 Rouillé France e Laboratoire de radiobiologie et d étude du génome Institut national de la recherche agronomique 78352 Jouy-en-Josas Cedex France Received 9 January 2002 accepted 9 April 2002 Abstract - A quantitative trait locus QTL analysis of carcass composition data from a three-generation experimental cross between Meishan MS and Large White LW pig breeds is presented. A total of 488 F2 males issued from six F1 boars and 23 F1 sows the progeny of six LW boars and six MS sows were slaughtered at approximately 80 kg live weight and were submitted to a standardised cutting of the carcass. Fifteen traits . dressing percentage loin ham shoulder belly backfat leaf fat feet and head weights two backfat thickness and one muscle depth measurements ham loin and back leaf fat percentages and estimated carcass lean content were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using a line-cross 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. Additional analyses were performed .

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