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Determining Phytotoxic Pesticide Interactions in Soil
Author(s) -
Nash Ralph G.,
Jansen Leonard L.
Publication year - 1973
Publication title -
journal of environmental quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 171
eISSN - 1537-2537
pISSN - 0047-2425
DOI - 10.2134/jeq1973.00472425000200040024x
Subject(s) - factorial analysis , factorial experiment , regression analysis , pesticide , range (aeronautics) , statistical analysis , statistics , variance (accounting) , factorial , regression , mathematics , main effect , interaction , environmental science , soil science , econometrics , agronomy , engineering , biology , economics , mathematical analysis , accounting , aerospace engineering
Methods of determining and describing total phytotoxic actions resulting from pesticides combined in soil have not always been appropriate. The best design appears to be a simple factorial. The criteria selected for analysis should be in a form suitable for statistical evaluation. Regression estimate analysis can identify, characterize, and express magnitude of a physiological interaction. An analysis of variance indicates only the presence of an interaction, Duncan's Multiple Range Test identifies an interaction, and Colby's method indicates magnitude of differences. The regression estimate analysis overcomes some of the statistical and interpretive limitations of the heretofore used Duncan's Multiple Range Test and Colby's method for phytotoxic interactions.