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

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Mesenchymal Tumors and Other Rare Neoplasms,nomic prediction are assessed with examples from empirical studies. Infrastructure and resources required for the implementation of genomic selection are evaluated. Some general guidelines are provided for the successful application of genomic selection in forest tree breeding programs.
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https://doi.org/10.1007/978-1-4612-3068-7 heritable traits such as disease resistances and heading date, followed by familial selection on swards for forage yield and quality traits. The high level of diversity and heterozygosity, and associated decay of linkage disequilibrium (LD) over very short genomic distances, has hampered the implem
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https://doi.org/10.1007/978-1-0716-2205-6trait architecture; optimal marker density; prediction methods; phenotypic variations; genomic predictio
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Genetic Bases of Complex Traits : From Quantitative Trait Loci to Prediction,ion. It provides an overview of the principles and the evolution of methods for mapping the variation of complex traits, and methods for QTL-based prediction of human disease risk and animal and plant breeding value. The principles of linkage-based and linkage disequilibrium–based QTL mapping method
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