Assessing herbicide symptoms by using a logarithmic field sprayer
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Assessing herbicide symptoms by using a logarithmic field sprayer. / da Cunha, Beatriz Ribeiro; Andreasen, Christian; Rasmussen, Jesper; Nielsen, Jon; Ritz, Christian; Streibig, Jens Carl.
In: Pest Management Science, Vol. 75, No. 4, 04.2019, p. 1166-1171.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Assessing herbicide symptoms by using a logarithmic field sprayer
AU - da Cunha, Beatriz Ribeiro
AU - Andreasen, Christian
AU - Rasmussen, Jesper
AU - Nielsen, Jon
AU - Ritz, Christian
AU - Streibig, Jens Carl
N1 - CURIS 2019 NEXS 208
PY - 2019/4
Y1 - 2019/4
N2 - Background: In field experiments, assessment of herbicide selectivity and efficacy is rarely taking 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, 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 ED50 and ED90, for visual and Excess Green Index symptoms at various Days After Treatment (DAT). For visual assessment, ED50 differed within no crop between locations for beflubutamid at 12 DAT and 26 DAT. For diflufenican, the ED50 was different within crops at the two fields at 12DAT, but not at 26 DAT. The Excess Green Indices at ED50 were not different among herbicides, locations and corps; ED90 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., ED50 ) can compare selectivity and efficacy at numerous cropping systems. This article is protected by copyright. All rights reserved.
AB - Background: In field experiments, assessment of herbicide selectivity and efficacy is rarely taking 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, 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 ED50 and ED90, for visual and Excess Green Index symptoms at various Days After Treatment (DAT). For visual assessment, ED50 differed within no crop between locations for beflubutamid at 12 DAT and 26 DAT. For diflufenican, the ED50 was different within crops at the two fields at 12DAT, but not at 26 DAT. The Excess Green Indices at ED50 were not different among herbicides, locations and corps; ED90 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., ED50 ) can compare selectivity and efficacy at numerous cropping systems. This article is protected by copyright. All rights reserved.
KW - Faculty of Science
KW - Dose-response
KW - UAV images
KW - Chemical weed control
KW - Mixed models
KW - Autocorrelation
KW - autocorrelation
KW - chemical weed control
KW - dose–response
KW - mixed models
KW - UAV images
U2 - 10.1002/ps.5257
DO - 10.1002/ps.5257
M3 - Journal article
C2 - 30379393
VL - 75
SP - 1166
EP - 1171
JO - Pest Management Science
JF - Pest Management Science
SN - 1526-498X
IS - 4
ER -
ID: 204306874