tailieunhanh - Báo cáo sinh học: "Detecting parent of origin and dominant QTL in a two-generation commercial poultry pedigree using variance component methodology"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Detecting parent of origin and dominant QTL in a two-generation commercial poultry pedigree using variance component methodology | Genetics Selection Evolution BioMed Central Research Detecting parent of origin and dominant QTL in a two-generation commercial poultry pedigree using variance component methodology Suzanne J Rowe 1 2 Ricardo Pong-Wong1 Christopher S Haley1 3 Sara A Knott2 and Dirk-Jan De Koning1 Open Access Address 1Roslin Institute and R D SVS University of Edinburgh Midlothian EH25 9PS UK institute of Evolutionary Biology University of Edinburgh Kings Buildings Edinburgh EH9 3JT UK and 3Medical Research Council Human Genetics Unit Western General Hospital Crewe Road Edinburgh EH4 2xU UK Email Suzanne J Rowe - Ricardo Pong-Wong - Christopher S Haley - Sara A Knott - Dirk-Jan De Koning - Corresponding author Published 5 January 2009 Received 17 December 2008 Genetics Selection Evolution 2009 41 6 doi l297-9686-4l-6 Accepted 5 January 2009 This article is available from http content 4l l 6 2009 Rowe et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Introduction Variance component QTL methodology was used to analyse three candidate regions on chicken chromosomes l 4 and 5 for dominant and parent-of-origin QTL effects. Data were available for bodyweight and conformation score measured at 40 days from a two-generation commercial broiler dam line. One hundred dams were nested in 46 sires with phenotypes and genotypes on 2708 offspring. Linear models were constructed to simultaneously estimate fixed polygenic and QTL effects. Different genetic models were compared using likelihood ratio test statistics derived from the comparison of full with reduced or null models. .

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