R: Data and analysis Mother and baby trials

RioChillon {agricolae} | R Documentation

## Data and analysis Mother and baby trials

### Description

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)

### Usage

    data(RioChillon)

### Format

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.)

### Details

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.

### Source

Experimental field.

### References

International Potato Center. CIP - Lima Peru.

### Examples

    # Analisys the Mother/Baby Trial Design
    library(agricolae)
    data(RioChillon)
    # First analysis the Mother Trial Design.
    model<-aov(yield ~ block + clon, RioChillon$mother)
    anova(model)
    cv.model(model)
    comparison<-with(RioChillon$mother,LSD.test(yield,clon, 18, 4.922, group=TRUE))
    # Second analysis the babies Trial.
    comparison<-with(RioChillon$babies,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.

[Package agricolae version 1.2-6 Index]