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Global Effect Index: A New Approach to Analyzing Allelopathy Survey Data

Published online by Cambridge University Press:  20 January 2017

Jose Pedro N. Ribeiro
Jose Pedro N. Ribeiro*
Affiliation:
Systematic and Chemical Ecology Laboratory, Department of Botanics, Federal University of Sao Carlos, Via Washington Luiz, Km 235, CEP-13565-905, São Carlos, São Paulo, Brazil
*
Corresponding author's E-mail: [email protected]
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Abstract

The analysis of allelopathic bioassay data commonly encounters two problems: one is the small number of biological replicates and the other is that the parameters used to infer allelopathic effects such as percentage and average time of seed germination are analyzed individually, and consequently, information on the global effects resulting from the cumulative effects of the tested agent (e.g., leaves extract) may be missed. Therefore, we propose an index to analyze several parameters altogether so as to have a better view of the global influence of a donor plant on a receptor, whose interference is more likely to be detected. The global effect index can help to detect allelopathic interferences of one plant on another, allowing for a more accurate interpretation of the data in the actual biological setting.

Keywords

Data analysis, n value, methodology, statistic, weed control
Type
Weed Management
Information
Weed Science , Volume 59 , Issue 1 , March 2011 , pp. 113 - 118
Copyright
Copyright © Weed Science Society of America 

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References

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