R/maize.R

In ProbBreed: Probability Theory for Selecting Candidates in Plant Breeding

##' Maize real data set
##'
##' This dataset belongs to value of cultivation and use maize trials of
##' Embrapa Maize and Sorghum, and was used by Dias et al. (2022).
##' It contains the grain yield of 32 single-cross hybrids and four commercial checks
##' (36 genotypes in total) evaluated in 16 locations across
##' five regions or mega-environments. These trials were laid out in incomplete blocks
##' design, using a block size of 6 and two replications per trial.
##'
##' @format ## `maize`
##'  A data frame with 823 rows and 6 columns:
##'  \describe{
##'    \item{Location}{16 locations}
##'    \item{Region}{5 regions}
##'    \item{Rep}{2 replicates}
##'    \item{Block}{6 blocks}
##'    \item{Hybrid}{36 genotypes}
##'    \item{GY}{Grain yield (phenotypes)}
##'  }
##'
##' @source
##'  \describe{
##' Dias, K. O. G, Santos J. P. R., Krause, M. D., Piepho H. -P., Guimarães, L. J. M.,
##' Pastina, M. M., and Garcia, A. A. F. (2022). Leveraging probability concepts
##' for cultivar recommendation in multi-environment trials. \emph{Theoretical and
##' Applied Genetics}, 133(2):443-455. \doi{10.1007/s00122-022-04041-y}
##'  }
##'
"maize"