RioChillon {agricolae} | R Documentation |
Mother/Baby Trials allow farmers and researchers to test best-bet technologies or new cultivars. Evaluation of advanced Clones of potato in the Valley of Rio Chillon - PERU (2004)
data(RioChillon)
The format is list of 2:
1. mother: data.frame: 30 obs. of 3 variables:
- block (3 levels)
- clon (10 levels)
- yield (kg.)
2. babies: data.frame: 90 obs. of 3 variables:
- farmer (9 levels)
- clon (10 levels)
- yield (kg.)
1. Replicated researcher-managed "mother trials" with typically 10 treatments
evaluated in small plots.
2. Unreplicated "baby trials" with 10 treatments evaluated in large plots.
3. The "baby trials" with a subset of the treatments in the mother trial.
Experimental field.
International Potato Center. CIP - Lima Peru.
# Analisys the Mother/Baby Trial Design library(SuppDists) library(agricolae) data(RioChillon) # First analysis the Mother Trial Design. model<-aov(yield ~ block + clon, RioChillon$mother) anova(model) cv.model(model) attach(RioChillon$mother) comparison<-LSD.test(yield,clon, 18, 4.922, group=TRUE) # Second analysis the babies Trial. attach(RioChillon$babies) comparison<-friedman(farmer,clon, yield, group=TRUE) # Third # The researcher makes use of data from both mother and baby trials and thereby obtains # information on suitability of new technologies or cultivars # for different agro-ecologies and acceptability to farmers.