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Báo cáo sinh học: " Likelihood inferences in animal breeding under selection: a missing-data theory view point"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Likelihood inferences in animal breeding under selection: a missing-data theory view point | 399 Genet. Set. Evol. 1989 21 399-414 c Elsevier INRA . V . I SAh s. ftki. v - Original article Likelihood inferences in animal breeding under selection a missing-data theory view point s. Im1 R.L. Fernando2 and D. Gianola2 1 Institut National de la Recherche Agronomique laboratoire de biométrie BP 27 31326 Castanet-Tolosan France 2 University of Illinois at Urbana-Champaign 126 Animal Sciences Laboratory 1207 West Gregory Drive Urbana Illinois 61801 USA received 28 October 1988 accepted 20 June 1989 The Editorial Board here introduces a new kind of scientific report in the Journal whereby a current field of research and debate is given emphasis being the subject of an open discussion within these columns. As a first essay we propose a discussion about a difficult and somehow trouble some question in applied animal genetics how to take proper account of the observed data being selected data Several attempts have been carried out in the past 15 years without any clear and unanimous solution. In the following Im Fernando and Gianola propose a general approach that should make it possible to deal with every problem. In addition to the interest of an original article we hope that their own discussion and response to the comments given by Henderson and Thompson will provide the reader with a sound insight into this complex topic. This paper is dedicated to the memory of Professor Henderson who gave US here one of his latest contributions. The Editorial Board Summary - Data available in animal breeding are often subject to selection. Such data can be viewed as data with missing values. In this paper inferences based on likelihoods derived from statistical models for missing data are applied to production records subject to selection. Conditions for ignoring the selection process are discussed. animal genetics selected data missing data likelihood inference Resume Les methodes d inference fondees sur la vraisemblance en génétique animate prise en compte de données issues