tailieunhanh - Báo cáo sinh học: "Reducing the bias of estimates of genotype by environment interactions in random regression sire models"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Reducing the bias of estimates of genotype by environment interactions in random regression sire models | Genetics Selection Evolution BioMed Central Research Reducing the bias of estimates of genotype by environment interactions in random regression sire models Marie Lillehammer 1 Jorgen Odegârd1 2 and Theo HE Meuwissen1 Address Department of Animal and Aquacultural Sciences Norwegian University of Life Sciences N-1432 Ảs Norway and 2NOFIMA N-1432 Ảs Norway Email Marie Lillehammer - Jorgen 0degârd - Theo HE Meuwissen - Corresponding author Open Access Published 19 March 2009 Received 10 March 2009 Genetics Selection Evolution 2009 41 30 doi l297-9686-4l -30 Accepted I9 March 2009 This article is available from http content 4l l 30 2009 Lillehammer 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 The combination of a sire model and a random regression term describing genotype by environment interactions may lead to biased estimates of genetic variance components because of heterogeneous residual variance. In order to test different models simulated data with genotype by environment interactions and dairy cattle data assumed to contain such interactions were analyzed. Two animal models were compared to four sire models. Models differed in their ability to handle heterogeneous variance from different sources. Including an individual effect with a co variance matrix restricted to three times the sire co variance matrix permitted the modeling of the additive genetic variance not covered by the sire effect. This made the ability of sire models to handle heterogeneous genetic variance approximately equivalent to that of animal models. When residual variance was heterogeneous a different approach to account for the .

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