Đang chuẩn bị liên kết để tải về tài liệu:
Báo cáo sinh học: On the relevance of three genetic models for the description of genetic variance in small populations undergoing selection

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: On the relevance of three genetic models for the description of genetic variance in small populations undergoing selection | Genet. Sei. Evol. 30 1998 59-70 Inra Elsevier Paris 59 Original article On the relevance of three genetic models for the description of genetic variance in small populations undergoing selection Florence Fournet-Hanocq Jean-Michel Eisen Station d amelioration génétique des animaux Institut national de la recherche agronomique 31326 Castanet-Tolosan cedex France Received 15 October 1996 accepted 15 December 1997 Abstract - The conservation of genetic variability is recognized as a necessary objective for the optimization of selection schemes particularly when populations are small. Numerous models differing by the genetic model they rely on are available to better understand and predict the evolution of genetic variance in a small population undergoing selection. This paper compares three genetic models treated either analytically or with Monte-Carlo simulations first in order to validate the predictions provided by a full-finite model for well-known phenomena e.g. the effect of population management on genetic variability and second to evaluate when and how the assumptions made in the two analytical models induce the departure from the third model. The FFM is shown first to be in close agreement with the Gaussian theory when used with a large number of loci the stochastic approach making it much more flexible than the two algebraic models. In the second part of the study the infinitesimal model appears to be more robust than the semiinfinitesimal one. Major sources of discrepancy between the deterministic models and the FFM are identified notably the hypothesis of independence between loci and then the infinite number of loci or alleles per locus. Inra Elsevier Paris modelling genetic variance selection small population Resume - De 1 intérêt de trois modèles génétiques pour la description de la variance génétique dans les petites populations sélectionnées. La conservation de la variabilité génétique est reconnue comme un objectif nécessaire pour 1 optimisation des