Berry: Cranberry Energy Balance

Description Usage Format Source References Examples

Description

This problem comes from a horticulturist (Hagidimitriou and Roper 1994) investigating the relative energy balance between vegetative and flowering parts of cranberry uprights in the marshes of northern Wisconsin. It is very difficult to separate individual plants as they tend to overlap considerably. In fact, a large cranberry bed may be essentially one plant!

The researcher examined one cranberry bed which was divided into six samples for measurement purposes. Soluble sugar and starch (conc) were measured at various periods through the growing season for random samples of roots, stems and uprights. Later in the season, the upright portions were distinguished as either flowering or vegetative. For each measurement day, the scientist wished to compare photosynthesis in these plant parts. The scientist was interested in assessing the change in sugars and starches over the course of the summer. That is, was one consistently higher than the other, or does this depend on Julian date?

Usage

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Format

Berry data frame with 84 observations on 4 variables.

[,1] sample factor field sample or block
[,2] tissue factor tissue type (flowering or vegetative)
[,3] conc numeric starch concentration
[,4] date factor Julian date for sample

Source

M Hagidimitriou

References

Hagidimitriou M and Roper T (1994) “Seasonal changes in nonstructural carbohydrates in cranberry”, J. American Society of Horticultural Science 119, 1029-1033.

Examples

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data( Berry )
library( lme4 )
Berry.lme <- lmer( conc ~ tissue * date + (1|sample),
   data = Berry, method = "REML" )
print( Berry.lme )
anova( Berry.lme )

byandell/pda documentation built on May 13, 2019, 9:27 a.m.