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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: jpnr@alelopatia.com.br
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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

Literature Cited

Ahn, J. K., Park, H. Y., Hwang, S. J., Kong, D. S., Chun, S. C., Khan, T. D., and Chung, I. M. 2008. Screening of aquatic plant extracts for herbicidal, fungicidal and insecticidal activity. Allelopathy J. 21:361–372.Google Scholar
An, M., Pratley, J. E., Haig, T., and Liu, D. L. 2005. Whole-range assessment: a simple method for analysing allelopathic dose–response data. Nonlinear. Bio. Tox. Med. 3:245–260.Google Scholar
Babbie, E. R. 1973. Survey Research Methods. Belmont, Canada Wadsworth. 432 p.Google Scholar
Chiapusio, G., Sánchez, A. M., Reigosa, M. J., González, L., and Pellissier, F. 1999. Does the knowledge of the relationships of primary and secondary effects improve allelopathy research? Pages 57–62 in Macías, F. A., Galindo, J. C. G., Molinillo, J. M. G., and Cutler, H. G., eds. Recent Advances in Allelopathy. Cadiz Universid de Cadiz.Google Scholar
Djurdjecvic, L., Mitrovic, M., and Pavlovic, P. 2007. Methodology of allelopathy research: 2. Forest ecosystems. Allelopathy J. 20:79–102.Google Scholar
Gatti, A. B., Lima, M. I. S., and Perez, S. C. J. G. A. 2008. Allelopathic potential of Ocotea odorifera (Vell) Rohwer on the germination and growth of Lactuca sativa L. and Raphanus sativus L. Allelopathy J. 21:73–82.Google Scholar
Inderjit, , and Dakshini, K. M. M. 1995. On laboratory bioassays in allelopathy. Bot. Rev. 61:28–44.Google Scholar
Inderjit, , and Weston, L. A. 2000. Are laboratory bioassays for allelopathy suitable for prediction of field responses? J. Chem. Ecol. 26:2111–2117.Google Scholar
Kato-Noguchi, H., Fushimi, Y., and Shigemori, H. 2009. An allelopathic substance in red pine needles (Pinus densiflora). J. Plant Physiol. 199:42–446.Google Scholar
Legendre, P. and Legendre, L. 1998. Numerical Ecology. 2nd ed. Amsterdam Elsevier.Google Scholar
Ribeiro, J. P. N., Matsumoto, R. S., Takao, L. K., Voltarelli, V. M., and Lima, M. I. S. 2009. Efeitos alelopáticos de extratos aquosos de Crinum americanum L. Rev. Bras. Bot. 32:183–188.Google Scholar
Santana, D. G. d. and Ranal, M. 2004. Análise da Germinação—Um enfoque estatísticoBrasília: Editora Universidade de Brasília. Pages 247 p.Google Scholar
Yang, R. Y., Mei, L. X., Tang, J. J., and Chen, X. 2007. Allelopathic effects of invasive Solidago canadensis L. on germination and growth of native Chinese plant species. Allelopathy J. 19:241–248.Google Scholar
Zar, J. H. 1999. Biostatistical Analysis. 4th ed. Upper Saddle River, New Jersey Prentice Hall. 663 p.Google Scholar