Titlebook: Genomic Prediction of Complex Traits; Methods and Protocol Nourollah Ahmadi,Jér?me Bartholomé Book 2022 The Editor(s) (if applicable) and T

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https://doi.org/10.1007/978-1-4612-3068-7s of heritability. The main reasons are (1) the possibility to select single plants based on their genomic estimated breeding values (GEBV) for traits measured at sward level, (2) a reduction in the duration of selection cycles, and less importantly (3) an increase in the selection intensity associa

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1064-3745 olecular Biology. series format, the book provides theoretical bases and practical guidelines for an informed decision making of practitioners and identifies pertinent routes for 978-1-0716-2207-0978-1-0716-2205-6Series ISSN 1064-3745 Series E-ISSN 1940-6029

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Chronic

Integration of Crop Growth Models and Genomic Prediction,Ms are attractive tools for predicting genotype by environment (G×E) interactions. This chapter reviews CGMs, genetic analyses using these models, and the status of studies that integrate genomic prediction with CGMs. Examples of CGM analyses are also provided.

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https://doi.org/10.1007/978-94-011-7511-1 genomic prediction procedures and their potential applications in predicting future phenotypic performance, mate allocation, and crossbred and purebred selection. Finally, a brief outline of some future research lines is also proposed.

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Diagnosis of Cutaneous Lymphoid Infiltrates topics such as the genetic architecture of complex traits, sibling validation of polygenic scores, and applications to adult health, in vitro fertilization (embryo selection), and genetic engineering.

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