TAILIEUCHUNG - Báo cáo sinh học: " Precision of genetic parameters and breeding values estimated in marker assisted BLUP genetic evaluation"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Precision of genetic parameters and breeding values estimated in marker assisted BLUP genetic evaluation | Genetics Selection Evolution BioMed Central Research Precision of genetic parameters and breeding values estimated in marker assisted BLUP genetic evaluation Stefan Neuner 1 Christian Edel1 Reiner Emmerling1 Georg Thaller2 and Kay-Uwe Gotz1 Address bavarian State Research Center for Agriculture Institute of Animal Breeding D-85580 Grub Germany and 2Christian-Albrechts-University Institute of Animal Breeding and Husbandry D-24098 Kiel Germany Email Stefan Neuner - Christian Edel - Reiner Emmerling - Georg Thaller - gthaller@ Kay-Uwe Gotz - Corresponding author Open Access Published 4 March 2009 Received 24 February 2009 Genetics Selection Evolution 2009 41 26 doi 1297-9686-41 -26 Accepted 4 March 2009 This article is available from http content 41 1 26 2009 Neuner 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_ In practical implementations of marker-assisted selection economic and logistic restrictions frequently lead to incomplete genotypic data for the animals of interest. This may result in bias and larger standard errors of the estimated parameters and as a consequence reduce the benefits of applying marker-assisted selection. Our study examines the impact of the following factors phenotypic information depth of pedigree and missing genotypes in the application of marker-assisted selection. Stochastic simulations were conducted to generate a typical dairy cattle population. Genetic parameters and breeding values were estimated using a two-step approach. First .

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