Last chance! 50% off unlimited learning
Sale ends in
The following data is a list containing data frames for different type of experimental designs relevant in plant breeding:
1) Augmented designs (2 examples)
2) Incomplete block designs (1 example)
3) Split plot design (2 examples)
4) Latin square designs (1 example)
5) North Carolina designs I,II and III
How to fit each is shown at the Examples section. This may help you get introduced to experimental designs relevant to plant breeding. Good luck.
Different based on the design.
Covarrubias-Pazaran G (2016) Genome assisted prediction of quantitative traits using the R package sommer. PLoS ONE 11(6): doi:10.1371/journal.pone.0156744
# #### =================================== ####
# #### ===== Augmented Block Design 1 ==== ####
# #### =================================== ####
# data(DT_expdesigns)
# DT <- DT_expdesigns
# names(DT)
# data1 <- DT$au1
# head(data1)
# ## response variable: "yield"
# ## check indicator: "entryc" ('nc' for all unreplicated, but personal.name for checks)
# ## blocking factor: "block"
# ## treatments, personal names for replicated and non-replicated: "trt"
# ## check no check indicator: "new"
# mix1 <- mmes(yield~entryc,
# random=~block+trt,
# rcov=~units, tolpar = 1e-6,
# data=data1)
# summary(mix1)$varcomp
Run the code above in your browser using DataLab