WheatData

Wheat.Y

Wheat.M

Wheat.K

<p>Containing the phenotypic observations 'Wheat.Y', markers 'Wheat.M' and genetic relationships 'Wheat.K'. The 4670 markers available for these 200 genotypes were pre-porecessed for missingness and minor ellele frequencies, coded numerically as -1, 0, and 1; the relationship genomic relationship matrix was calculated from these markers.</p>

Combining Predictive Analytics and Experimental Design to Optimize Results. To be utilized to select a test data calibrated training population in high dimensional prediction problems and assumes that the explanatory variables are observed for all of the individuals. Once a "good" training set is identified, the response variable can be obtained only for this set to build a model for predicting the response in the test set. The algorithms in the package can be tweaked to solve some other subset selection problems.

Deniz Akdemir

STPGA

Selection of Training Populations by Genetic Algorithm

WheatData function

Adult plant height (estimated genetic values) for 1182 elite wheat lines — WheatData

Adult plant height (estimated genetic values) for 1182 elite wheat lines

WheatData: Adult plant height (estimated genetic values) for 1182 elite wheat lines

Description

Arguments