Statistical Analysis of Root Count Data

in HortScience
Author:
D. Michael GlennUSDA/ARS. 45 Wiltshire Road. Kearneysville, WV 25430-9803.

Search for other papers by D. Michael Glenn in
ASHS
Google Scholar
PubMed
Close

The minirhizotron approach for studying the dynamics of root systems is gaining acceptance; however, problems have arisen in the analysis of data. The purposes of this study were to determine if analysis of variance (ANOVA) was appropriate for root count data, and to evaluate transformation procedures to utilize ANOVA. In peach, apple, and strawberry root count data, the variance of treatment means was positively correlated with the mean, violating assumptions of ANOVA. A transformation based on Taylor's power law as a first approximation, followed by a trial and error approach, developed transformations that reduced the correlation of variance and mean.

  • Collapse
  • Expand

 

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 28 28 27
PDF Downloads 32 32 6