Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation
Internal functions
Predict genetic variance and genetic correlations in multi-parent popu...
A genome-wide procedure for predicting genetic variance and correlated...
Predict genetic variance and genetic correlations in bi-parental popul...
PopVar: Genomic Breeding Tools: Genetic Variance Prediction and Cross-...
An example barley dataset
Estimate genome-wide prediction accuracy using cross-validation
The main attribute of 'PopVar' is the prediction of genetic variance in bi-parental populations, from which the package derives its name. 'PopVar' contains a set of functions that use phenotypic and genotypic data from a set of candidate parents to 1) predict the mean, genetic variance, and superior progeny value of all, or a defined set of pairwise bi-parental crosses, and 2) perform cross-validation to estimate genome-wide prediction accuracy of multiple statistical models. More details are available in Mohammadi, Tiede, and Smith (2015, <doi:10.2135/cropsci2015.01.0030>). A dataset 'think_barley.rda' is included for reference and examples.
Useful links