Assessing herbicide symptoms by using a logarithmic field sprayer. Issue 4 (24th December 2018)
- Record Type:
- Journal Article
- Title:
- Assessing herbicide symptoms by using a logarithmic field sprayer. Issue 4 (24th December 2018)
- Main Title:
- Assessing herbicide symptoms by using a logarithmic field sprayer
- Authors:
- Cunha, Beatriz Ribeiro da
Andreasen, Christian
Rasmussen, Jesper
Nielsen, Jon
Ritz, Christian
Streibig, Jens Carl - Abstract:
- Abstract: 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 Abstract : A logarithmic sprayer is an easy way to obtainAbstract: 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 Abstract : A logarithmic sprayer is an easy way to obtain dose–response curves in field experiments to compare potency and selectivity. Graph of Excess Green Index derived from image strip at an altitude of 40 m at the left. A conventional and a previously organic field are included in the paper. … (more)
- Is Part Of:
- Pest management science. Volume 75:Issue 4(2019)
- Journal:
- Pest management science
- Issue:
- Volume 75:Issue 4(2019)
- Issue Display:
- Volume 75, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 75
- Issue:
- 4
- Issue Sort Value:
- 2019-0075-0004-0000
- Page Start:
- 1166
- Page End:
- 1171
- Publication Date:
- 2018-12-24
- Subjects:
- dose–response -- UAV images -- chemical weed control -- mixed models -- autocorrelation
Pests -- Control -- Periodicals
Pesticides -- Periodicals
632.9 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/ps.5257 ↗
- Languages:
- English
- ISSNs:
- 1526-498X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6428.332000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9637.xml