TAILIEUCHUNG - Báo cáo sinh học: "Model for fitting longitudinal traits subject to threshold response applied to genetic evaluation for heat tolerance"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Model for fitting longitudinal traits subject to threshold response applied to genetic evaluation for heat tolerance | Genetics Selection Evolution BioMed Central Research Model for fitting longitudinal traits subject to threshold response applied to genetic evaluation for heat tolerance Juan Pablo Sanchez 1 Romdhane Rekaya2 and Ignacy Misztal2 Address 1Departamento de Producción Animal Facultad de Veterinaria Universidad de León Campus de Vegazana León 24071 Spain and 2Animal and Dairy Science Department University of Georgia 425 River Road Athens GA 30602 USA Email Juan Pablo Sánchez - jpsans@ Romdhane Rekaya - rrekaya@ Ignacy Misztal - ignacy@ Corresponding author Open Access Published 14 January 2009 Received 17 December 2008 Genetics Selection Evolution 2009 41 10 doi l297-9686-4l-l0 Accepted 14 January 2009 This article is available from http content 4l l l0 2009 Sánchez 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 A semi-parametric non-linear longitudinal hierarchical model is presented. The model assumes that individual variation exists both in the degree of the linear change of performance slope beyond a particular threshold of the independent variable scale and in the magnitude of the threshold itself these individual variations are attributed to genetic and environmental components. During implementation via a Bayesian MCMC approach threshold levels were sampled using a Metropolis step because their fully conditional posterior distributions do not have a closed form. The model was tested by simulation following designs similar to previous studies on genetics of heat stress. Posterior means of parameters of interest under all simulation scenarios were close to their true values with the .

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