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Table 5 Prediction accuracies for heading date. Mean prediction abilities and their standard deviations estimated from 40 replications of five-fold cross validations using QTL regression, GBLUP, QTL fixed effects plus GBLUP, Bayes B, and Bayesian Lasso models

From: Characterizing the oligogenic architecture of plant growth phenotypes informs genomic selection approaches in a common wheat population

Model

Ral18

Kin19

Pla19

 

μ

sd

μ

sd

μ

sd

QTL Regres.

0.67

0.017

0.64

0.013

0.60

0.005

GBLUP

0.39

0.029

0.39

0.024

0.53

0.017

QTL/GBLUP

0.70

0.010

0.66

0.008

0.64

0.009

Bayes B

0.71

0.015

0.69

0.011

0.63

0.014

Bayes Lasso

0.63

0.026

0.58

0.019

0.57

0.018