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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Genotyping, the Usefulness of Imputation to Increase SNP Density, and Imputation Methods and Tools,sity SNP panels and a limited set of reference individuals. Whatever the imputation method, the imputation accuracy, measured by the correct imputation rate or the correlation between true and imputed genotypes, increased with the increasing relatedness of the individual to be imputed with its dense

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,Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotypetion models for complex traits measured in continuous and noncontinuous (categorical) scale. Related to G × E interaction models this review also examine the analyses of the information generated with high-throughput phenotype data (phenomic) and the joint analyses of multitrait and multienvironment

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Accounting for Correlation Between Traits in Genomic Prediction,ian Ridge regression and best linear unbiased predictor, but also under a deep learning framework. The multitrait deep learning framework helps implement prediction models with mixed outcomes (continuous, binary, ordinal, and count, measured on different scales), which is not easy in conventional st

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Genomic Prediction of Complex Traits in Animal Breeding with Long Breeding History, the Dairy Cattlic ties between years. As genotyping costs decrease, the number of cows genotyped will continue to increase, and these records will become the basic data used to compute genomic evaluations, most likely via application of “single-step” methodologies. Less emphasis in selection goals will be placed o

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Genomic Prediction of Complex Traits in Forage Plants Species: Perennial Grasses Case,s 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