Assessing herbicide symptoms by using a logarithmic field sprayer

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Standard

Assessing herbicide symptoms by using a logarithmic field sprayer. / da Cunha, Beatriz Ribeiro; Andreasen, Christian; Rasmussen, Jesper; Nielsen, Jon; Ritz, Christian; Streibig, Jens Carl.

I: Pest Management Science, Bind 75, Nr. 4, 04.2019, s. 1166-1171.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

da Cunha, BR, Andreasen, C, Rasmussen, J, Nielsen, J, Ritz, C & Streibig, JC 2019, 'Assessing herbicide symptoms by using a logarithmic field sprayer', Pest Management Science, bind 75, nr. 4, s. 1166-1171. https://doi.org/10.1002/ps.5257

APA

da Cunha, B. R., Andreasen, C., Rasmussen, J., Nielsen, J., Ritz, C., & Streibig, J. C. (2019). Assessing herbicide symptoms by using a logarithmic field sprayer. Pest Management Science, 75(4), 1166-1171. https://doi.org/10.1002/ps.5257

Vancouver

da Cunha BR, Andreasen C, Rasmussen J, Nielsen J, Ritz C, Streibig JC. Assessing herbicide symptoms by using a logarithmic field sprayer. Pest Management Science. 2019 apr;75(4):1166-1171. https://doi.org/10.1002/ps.5257

Author

da Cunha, Beatriz Ribeiro ; Andreasen, Christian ; Rasmussen, Jesper ; Nielsen, Jon ; Ritz, Christian ; Streibig, Jens Carl. / Assessing herbicide symptoms by using a logarithmic field sprayer. I: Pest Management Science. 2019 ; Bind 75, Nr. 4. s. 1166-1171.

Bibtex

@article{69b6f04527e649beaa2956d349dbf8f2,
title = "Assessing herbicide symptoms by using a logarithmic field sprayer",
abstract = "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.",
keywords = "The Faculty of Science, Dose-response, UAV images, Chemical weed control, Mixed models, Autocorrelation, autocorrelation, chemical weed control, dose–response, mixed models, UAV images",
author = "{da Cunha}, {Beatriz Ribeiro} and Christian Andreasen and Jesper Rasmussen and Jon Nielsen and Christian Ritz and Streibig, {Jens Carl}",
note = "CURIS 2019 NEXS 208",
year = "2019",
month = "4",
doi = "10.1002/ps.5257",
language = "English",
volume = "75",
pages = "1166--1171",
journal = "Pest Management Science",
issn = "1526-498X",
publisher = "JohnWiley & Sons Ltd",
number = "4",

}

RIS

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 - The 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

VL - 75

SP - 1166

EP - 1171

JO - Pest Management Science

JF - Pest Management Science

SN - 1526-498X

IS - 4

ER -

ID: 204306874