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Assessing herbicide symptoms by using a logarithmic field sprayer
Author(s) -
Cunha Beatriz Ribeiro da,
Andreasen Christian,
Rasmussen Jesper,
Nielsen Jon,
Ritz Christian,
Streibig Jens Carl
Publication year - 2019
Publication title -
pest management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.296
H-Index - 125
eISSN - 1526-4998
pISSN - 1526-498X
DOI - 10.1002/ps.5257
Subject(s) - canola , sprayer , mathematics , linear regression , statistics , logarithm , toxicology , crop , agronomy , environmental science , biology , mathematical analysis
BACKGROUND In field experiments, assessment of herbicide selectivity and efficacy rarely takes advantage of dose–response regressions. The objective is to demonstrate that logarithmic sprayers, which automatically make a logarithmic dilution of a herbicide rate, can extract biologically relevant parameters describing the efficacy of herbicides in crops, and compare localities and time of assessment. RESULTS In a conventional and an organic field, canola, white mustard, and no crop plots were sprayed with diflufenican and beflubutamid. A mixed effect log‐logistic dose–response regression, with autoregressive correlation structure, estimated ED 50 and ED 90 for visual and Excess Green Index symptoms at various days after treatment (DAT). For visual assessment, ED 50 differed within no crop between locations for beflubutamid at 12 DAT and 26 DAT. For diflufenican, the ED 50 was different within crops at the two fields at 12 DAT, but not at 26 DAT. The Excess Green Indices at ED 50 were not different among herbicides, locations, and corps; ED 90 differed for white mustard and canola for beflubutamid but not for diflufenican. CONCLUSION Suitable nonlinear regression models are now available for fitting dose–response data from a logarithmic sprayer in field experiments. The derived parameters (e.g. ED 50 ) can compare selectivity and efficacy at numerous cropping systems. © 2018 Society of Chemical Industry