Objectives and applications of phenotyping network set-up for livestock.
| Autor: | Hocquette JF; Inra, UMR1213, Recherches sur les Herbivores, F-63122 Saint Genès-Champanelle, France. jean-francois.hocquette@clermont.inra.fr, Capel C, David V, Guémené D, Bidanel J, Ponsart C, Gastinel PL, Bail PY, Monget P, Mormède P, Barbezant M, Guillou F, Peyraud JL |
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| Jazyk: | angličtina |
| Zdroj: | Animal science journal = Nihon chikusan Gakkaiho [Anim Sci J] 2012 Jul; Vol. 83 (7), pp. 517-28. Date of Electronic Publication: 2012 Jun 06. |
| DOI: | 10.1111/j.1740-0929.2012.01015.x |
| Abstrakt: | Providing phenotypic information, which is accurate, reliable, repeatable and comparable across countries or laboratories, is critical to gain a better understanding of the relationship between genes and phenotypes. So far, it is indeed extremely difficult to combine different sources of phenotypic data from multiple origins, partly because of the variability in the methods of phenotyping. The phenotyping program of livestock involves the definition of complex phenotypes obtained from data integration at different levels (from molecules to herds), the implementation of the latest technologies to accurately characterize at high speed and low cost, the greatest number of animals in a better characterized environment, and the development and sharing of large databases for data analysis and modeling. Such a program also involves the construction of a coordinated network of research and professional facilities and a common language with shared definition of unambiguous animal traits and of methods to assess them. To this end, it will build on the 'Animal Trait Ontology of Livestock' (ATOL) project with the objective of defining precisely the phenotypes of interest for farm animals. Then, it will be necessary to combine an environmental information system related to animal husbandry and associated methods to capture the phenotypic differences between animals. (© 2012 The Authors. Animal Science Journal © 2012 Japanese Society of Animal Science.) |
| Databáze: | MEDLINE |
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