This preview shows page 1. Sign up to view the full content.
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...
View Full Document
This document was uploaded on 11/20/2013.
- Summer '11
- The American