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Genomic prediction of complex traits : methods and protocols

Ahmadi Nourollah, Bartholome Jérôme. 2022. Genomic prediction of complex traits : methods and protocols. New-York : Humana Press-Springer, 659 p. (Methods in Molecular Biology, 2467) ISBN 978-1-0716-2204-9

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Résumé : This volume explores the conceptual framework and the practical issues related to genomic prediction of complex traits in human medicine and in animal and plant breeding. The book is organized into five parts. Part One reminds molecular genetics approaches intending to predict phenotypic variations. Part Two presents the principles of genomic prediction of complex traits, and reviews factors that affect its reliability. Part Three describes genomic prediction methods, including machine-learning approaches, accounting for different degree of biological complexity, and reviews the associated computer-packages. Part Four reports on emerging trends such as phenomic prediction and incorporation into genomic prediction models of “omics” data and crop growth models. Part Five is dedicated to lessons learned from cases studies in the fields of human health and animal and plant breeding, and to methods for analysis of the economic effectiveness of genomic prediction. Written in the highly successful Methods in Molecular Biology series format, the book provides theoretical bases and practical guidelines for an informed decision making of practitioners and identifies pertinent routes for further methodological researches.

Mots-clés Agrovoc : génomique, génétique moléculaire, variation phénotypique, sélection, génétique animale, phytogénétique, santé

Classification Agris : U60 - Sciences de la vie et de la Terre
F30 - Génétique et amélioration des plantes
L10 - Génétique et amélioration des animaux
S50 - Santé humaine

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

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Source : Cirad-Agritrop (https://agritrop.cirad.fr/602148/)

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