Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures
about
Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data.Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation.Applying (1)H NMR Spectroscopy to Detect Changes in the Urinary Metabolite Levels of Chinese Half-Pipe Snowboarders after Different Exercises.Impact of imputation methods on the amount of genetic variation captured by a single-nucleotide polymorphism panel in soybeansPrediction of complex traits: Conciliating genetics and statistics.Prediction and association mapping of agronomic traits in maize using multiple omic data.Genome-wide prediction using Bayesian additive regression trees.Kernel-based whole-genome prediction of complex traits: a reviewA Unified and Comprehensible View of Parametric and Kernel Methods for Genomic Prediction with Application to Rice.Modeling Epistasis in Genomic Selection.Genomic and pedigree-based prediction for leaf, stem, and stripe rust resistance in wheat.Application of Response Surface Methods To Determine Conditions for Optimal Genomic Prediction.Marker-based estimation of heritability in immortal populations.Assessing Predictive Properties of Genome-Wide Selection in Soybeans.Misspecification in Mixed-Model-Based Association Analysis.Rice diversity panel provides accurate genomic predictions for complex traits in the progenies of biparental crosses involving members of the panel.Historical Datasets Support Genomic Selection Models for the Prediction of Cotton Fiber Quality Phenotypes Across Multiple Environments.Genomic selection of agronomic traits in hybrid rice using an NCII population.Genomic Selection in Preliminary Yield Trials in a Winter Wheat Breeding ProgramQuantifying genomic connectedness and prediction accuracy from additive and non-additive gene actionsPredictive ability of genome-assisted statistical models under various forms of gene actionGenomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpeaSelection of the Bandwidth Parameter in a Bayesian Kernel Regression Model for Genomic-Enabled PredictionStatistical and Computational Challenges in Whole Genome Prediction and Genome-Wide Association Analyses for Plant and Animal Breeding
P2860
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P2860
Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Parametric and nonparametric s ...... pistatic genetic architectures
@ast
Parametric and nonparametric s ...... pistatic genetic architectures
@en
type
label
Parametric and nonparametric s ...... pistatic genetic architectures
@ast
Parametric and nonparametric s ...... pistatic genetic architectures
@en
prefLabel
Parametric and nonparametric s ...... pistatic genetic architectures
@ast
Parametric and nonparametric s ...... pistatic genetic architectures
@en
P2093
P2860
P356
P1433
P1476
Parametric and nonparametric s ...... pistatic genetic architectures
@en
P2093
Alicia L Carriquiry
Réka Howard
William D Beavis
P2860
P304
P356
10.1534/G3.114.010298
P577
2014-04-11T00:00:00Z