Experimental datasets used for development and testing of error models

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The 12 datasets were extracted from active substance evaluation dossiers published - by EFSA. Kinetic evaluations shown for these datasets are intended to illustrate - and advance error model specifications. The fact that these data and some - results are shown here do not imply a license to use them in the context of - pesticide registrations, as the use of the data may be constrained by - data protection regulations.

Preprocessing of data was performed based on the recommendations of the FOCUS - kinetics workgroup (FOCUS, 2014) as described below.

Datasets 1 and 2 are from the Renewal Assessment Report (RAR) for imazamox - (France, 2015, p. 15). For setting values reported as zero, an LOQ of 0.1 - was assumed. Metabolite residues reported for day zero were added to the - parent compound residues.

Datasets 3 and 4 are from the Renewal Assessment Report (RAR) for isofetamid - (Belgium, 2014, p. 8) and show the data for two different radiolabels. For - dataset 4, the value given for the metabolite in the day zero sampling - in replicate B was added to the parent compound, following the respective - FOCUS recommendation.

Dataset 5 is from the Renewal Assessment Report (RAR) for ethofumesate - (Austria, 2015, p. 16).

Datasets 6 to 10 are from the Renewal Assessment Report (RAR) for glyphosate - (Germany, 2013, pages 8, 28, 50, 51). For the initial sampling, - the residues given for the metabolite were added to the parent - value, following the recommendation of the FOCUS kinetics workgroup.

Dataset 11 is from the Renewal Assessment Report (RAR) for 2,4-D - (Hellas, 2013, p. 644). Values reported as zero were set to NA, with - the exception of the day three sampling of metabolite A2, which was set - to one half of the LOD reported to be 1% AR.

Dataset 12 is from the Renewal Assessment Report (RAR) for thifensulfuron-methyl - (United Kingdom, 2014, p. 81).

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experimental_data_for_UBA_2019

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Format

A list containing twelve datasets as an R6 class defined by mkinds, - each containing, among others, the following components

title: The name of the dataset, e.g. Soil 1
data: A data frame with the data in the form expected by mkinfit

Source

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Austria (2015). Ethofumesate Renewal Assessment Report Volume 3 Annex B.8 (AS)

Belgium (2014). Isofetamid (IKF-5411) Draft Assessment Report Volume 3 Annex B.8 (AS)

France (2015). Imazamox Draft Renewal Assessment Report Volume 3 Annex B.8 (AS)

FOCUS (2014) “Generic guidance for Estimating Persistence and - Degradation Kinetics from Environmental Fate Studies on Pesticides in EU - Registration” Report of the FOCUS Work Group on Degradation Kinetics, - Version 1.1, 18 December 2014 - http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics

Germany (2013). Renewal Assessment Report Glyphosate Volume 3 Annex B.8: Environmental Fate - and Behaviour

Hellas (2013). Renewal Assessment Report 2,4-D Volume 3 Annex B.8: Fate and behaviour in the - environment

Ranke (2019) Documentation of results obtained for the error model expertise - written for the German Umweltbundesamt.

United Kingdom (2014). Thifensulfuron-methyl - Annex B.8 (Volume 3) to the Report and Proposed - Decision of the United Kingdom made to the European Commission under Regulation (EC) No. - 1141/2010 for renewal of an active substance

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Examples

# \dontrun{
-
-# Model definitions
-sfo_sfo <- mkinmod(
-  parent = mkinsub("SFO", to = "A1"),
-  A1 = mkinsub("SFO"),
-  use_of_ff = "max"
-)
-#> Temporary DLL for differentials generated and loaded
-
-dfop_sfo <- mkinmod(
-  parent = mkinsub("DFOP", to = "A1"),
-  A1 = mkinsub("SFO"),
-  use_of_ff = "max"
-)
-#> Temporary DLL for differentials generated and loaded
-
-sfo_sfo_sfo <- mkinmod(
-  parent = mkinsub("SFO", to = "A1"),
-  A1 = mkinsub("SFO", to = "A2"),
-  A2 = mkinsub("SFO"),
-  use_of_ff = "max"
-)
-#> Temporary DLL for differentials generated and loaded
-
-dfop_sfo_sfo <- mkinmod(
-  parent = mkinsub("DFOP", to = "A1"),
-  A1 = mkinsub("SFO", to = "A2"),
-  A2 = mkinsub("SFO"),
-  use_of_ff = "max"
-)
-#> Temporary DLL for differentials generated and loaded
-d_1_2 <- lapply(experimental_data_for_UBA_2019[1:2], function(x) x$data)
-names(d_1_2) <- paste("Soil", 1:2)
-
-
-f_1_2_tc <- mmkin(list("DFOP-SFO-SFO" = dfop_sfo_sfo), d_1_2, error_model = "tc")
-
-plot(f_1_2_tc, resplot = "errmod")
-
-
-# }
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