Genomic prediction has been used for breeding of animals and plants with complex
quantitative traits by predicting Genomic Estimated Breeding Values (GEBVs) of target …

Genomic prediction is meant for estimating the breeding value using molecular marker data
which has turned out to be a powerful tool for efficient utilization of germplasm resources …

The aim of this study was to detect usability of genomic prediction for different breeding
dilemmas. In order to achieve this aim, breeding data sets from oat and barley were used in …

The aim was to compare predictive performance of SVM-based predictors constructed using
different kernel functions (radial, sigmoid, linear and polynomial) in different genetic …

The increasing amount of available biological information on the markers can be used to
inform the models applied for genomic selection to improve predictions. The objective of this …

Genomic prediction (GP) has revolutionized animal and plant breeding. However, better
statistical models that can improve the accuracy of GP are required. For this reason, in this …

In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression
models have been used. This study assessed the predictive ability of linear and non-linear …

The present study aimed to evaluate the predictive performance of bootstrap aggregating
sampling technique (Bagging) in the context of genomic best linear unbiased prediction …

Genomic selection is a valuable breeding tool that has a great potential for implementation
in a real breeding program, as long as prediction model performance is carefully evaluated …

We compared the accuracies of two genomic-selection prediction methods as affected by
marker density and quantitative trait locus (QTL) number. Methods used to derive genomic …