As shown in table 1 multivariate statistical tools

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Unformatted text preview: wn in Table 1, multivariate statistical tools are diverse in their objectives, and a few were succinctly described, namely discriminant, MANOVA, correspondence, and canonical correlation. Multivariate statistical methods should be explored and incorporated in phytopathological research because of their potential for providing a holistic insight into disease epidemics. With the development of computer 1006 PHYTOPATHOLOGY technology, more user-friendly multivariate statistical packages may be designed and become available to plant pathologists for analyzing patterns from multivariable data. L ITERATURE CITED 1. Bulluck, L. R., Brosius, M., Evanylo, G. K., and Ristaino, J. B. 2002. Organic and synthetic fertility amendments influence soil microbial, physical and chemical properties on organic and conventional farms. Appl. Soil Ecol. 19:147-160. 2. Chakraborty, S., Thomas, M. R., and Ellis, N. 1996. A multivariate analysis of pathogenic variation in Colletotrichum gloeosporioides infecting the tropical pasture legume, Stylosanthes scabra. Phytopath...
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This document was uploaded on 11/20/2013.

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