drift_data_JKI.RdDeposition from spray drift expressed as percent of the applied dose as published by the German Julius-Kühn Institute (JKI).
A list currently containing matrices with spray drift percentage data for field crops (Ackerbau), and Pome/stone fruit, early and late (Obstbau frueh, spaet).
JKI (2010) Spreadsheet 'Tabelle der Abdrifteckwerte.xls', retrieved from http://www.jki.bund.de/no_cache/de/startseite/institute/anwendungstechnik/abdrift-eckwerte.html on 2015-06-11
Rautmann, D., Streloke, M and Winkler, R (2001) New basic drift values in the authorization procedure for plant protection products Mitt. Biol. Bundesanst. Land- Forstwirtsch. 383, 133-141
The data were extracted from the spreadsheet cited below using the R code given in the example section. The spreadsheet is not included in the package as its licence is not clear.
Additional spray drift values were taken from the publication by Rautmann et al. (2001). Specifically, these are the values for early vines, and the values for a 3 m buffer which are incomplete in the spreadsheet.
Note that for vegetables, ornamentals and small fruit, the values for field crops are used for crops < 50 cm, and the vales for late vines are used for crops > 50 cm. In the JKI spreadsheet, it is indicated that these values are used for spray applications with handheld/knapsack equipment (tragbare Spritz- und Sprühgerate).
Values for non-professional use listed in the JKI spreadsheet were not included.
if (FALSE) { # This is the code that was used to extract the data library(readxl) abdrift_path <- "inst/extdata/Tabelle der Abdrifteckwerte.xls" JKI_crops <- c("Ackerbau", "Obstbau frueh", "Obstbau spaet", "Weinbau frueh", "Weinbau spaet", "Hopfenbau", "Flaechenkulturen > 900 l/ha", "Gleisanlagen") names(JKI_crops) <- c("Field crops", "Pome/stone fruit, early", "Pome/stone fruit, late", "Vines early", "Vines late", "Hops", "Areic cultures > 900 L/ha", "Railroad tracks") drift_data_JKI <- list() for (n in 1:8) { drift_data_raw <- read_excel(abdrift_path, sheet = n + 1, skip = 2) drift_data <- matrix(NA, nrow = 9, ncol = length(JKI_crops)) dimnames(drift_data) <- list(distance = drift_data_raw[[1]][1:9], crop = JKI_crops) if (n == 1) { # Values for railroad tracks only present for one application drift_data[, c(1:3, 5:8)] <- as.matrix(drift_data_raw[c(2:7, 11)][1:9, ]) } else { drift_data[, c(1:3, 5:7)] <- as.matrix(drift_data_raw[c(2:7)][1:9, ]) } drift_data_JKI[[n]] <- drift_data } # Manual data entry from the Rautmann paper drift_data_JKI[[1]]["3", "Ackerbau"] <- 0.95 drift_data_JKI[[1]][, "Weinbau frueh"] <- c(NA, 2.7, 1.18, 0.39, 0.2, 0.13, 0.07, 0.04, 0.03) drift_data_JKI[[2]]["3", "Ackerbau"] <- 0.79 drift_data_JKI[[2]][, "Weinbau frueh"] <- c(NA, 2.53, 1.09, 0.35, 0.18, 0.11, 0.06, 0.03, 0.02) drift_data_JKI[[3]]["3", "Ackerbau"] <- 0.68 drift_data_JKI[[3]][, "Weinbau frueh"] <- c(NA, 2.49, 1.04, 0.32, 0.16, 0.10, 0.05, 0.03, 0.02) drift_data_JKI[[4]]["3", "Ackerbau"] <- 0.62 drift_data_JKI[[4]][, "Weinbau frueh"] <- c(NA, 2.44, 1.02, 0.31, 0.16, 0.10, 0.05, 0.03, 0.02) drift_data_JKI[[5]]["3", "Ackerbau"] <- 0.59 drift_data_JKI[[5]][, "Weinbau frueh"] <- c(NA, 2.37, 1.00, 0.31, 0.15, 0.09, 0.05, 0.03, 0.02) drift_data_JKI[[6]]["3", "Ackerbau"] <- 0.56 drift_data_JKI[[6]][, "Weinbau frueh"] <- c(NA, 2.29, 0.97, 0.30, 0.15, 0.09, 0.05, 0.03, 0.02) drift_data_JKI[[7]]["3", "Ackerbau"] <- 0.55 drift_data_JKI[[7]][, "Weinbau frueh"] <- c(NA, 2.24, 0.94, 0.29, 0.15, 0.09, 0.05, 0.03, 0.02) drift_data_JKI[[8]]["3", "Ackerbau"] <- 0.52 drift_data_JKI[[8]][, "Weinbau frueh"] <- c(NA, 2.16, 0.91, 0.28, 0.14, 0.09, 0.04, 0.03, 0.02) # Save the data save(drift_data_JKI, file = "data/drift_data_JKI.RData") } # And this is the resulting data drift_data_JKI#> [[1]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet Weinbau frueh Weinbau spaet #> 1 2.77 NA NA NA NA #> 3 0.95 29.20 15.73 2.70 8.02 #> 5 0.57 19.89 8.41 1.18 3.62 #> 10 0.29 11.81 3.60 0.39 1.23 #> 15 0.20 5.55 1.81 0.20 0.65 #> 20 0.15 2.77 1.09 0.13 0.42 #> 30 0.10 1.04 0.54 0.07 0.22 #> 40 0.07 0.52 0.32 0.04 0.14 #> 50 0.06 0.30 0.22 0.03 0.10 #> crop #> distance Hopfenbau Flaechenkulturen > 900 l/ha Gleisanlagen #> 1 NA 4.440 NA #> 3 19.33 NA 0.018721696 #> 5 11.57 0.180 0.014363896 #> 10 5.77 0.050 0.010026007 #> 15 3.84 0.020 0.008124366 #> 20 1.79 0.012 0.006998158 #> 30 0.56 0.005 0.005670811 #> 40 0.25 0.003 NA #> 50 0.13 0.002 0.004350831 #> #> [[2]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet Weinbau frueh Weinbau spaet #> 1 2.38 NA NA NA NA #> 3 0.79 25.53 12.13 2.53 7.23 #> 5 0.47 16.87 6.81 1.09 3.22 #> 10 0.24 9.61 3.11 0.35 1.07 #> 15 0.16 5.61 1.58 0.18 0.56 #> 20 0.12 2.59 0.90 0.11 0.36 #> 30 0.08 0.87 0.40 0.06 0.19 #> 40 0.06 0.40 0.23 0.03 0.12 #> 50 0.05 0.22 0.15 0.02 0.08 #> crop #> distance Hopfenbau Flaechenkulturen > 900 l/ha Gleisanlagen #> 1 NA 3.780 NA #> 3 17.73 NA NA #> 5 9.60 0.160 NA #> 10 4.18 0.040 NA #> 15 2.57 0.020 NA #> 20 1.21 0.011 NA #> 30 0.38 0.005 NA #> 40 0.17 0.003 NA #> 50 0.09 0.002 NA #> #> [[3]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet Weinbau frueh Weinbau spaet #> 1 2.01 NA NA NA NA #> 3 0.68 23.96 11.01 2.49 6.90 #> 5 0.41 15.79 6.04 1.04 3.07 #> 10 0.20 8.96 2.67 0.32 1.02 #> 15 0.14 4.24 1.39 0.16 0.54 #> 20 0.10 2.01 0.80 0.10 0.34 #> 30 0.07 0.70 0.36 0.05 0.18 #> 40 0.05 0.33 0.21 0.03 0.11 #> 50 0.04 0.19 0.13 0.02 0.08 #> crop #> distance Hopfenbau Flaechenkulturen > 900 l/ha Gleisanlagen #> 1 NA 3.420 NA #> 3 15.93 NA NA #> 5 8.57 0.150 NA #> 10 3.70 0.040 NA #> 15 2.26 0.020 NA #> 20 1.05 0.010 NA #> 30 0.34 0.004 NA #> 40 0.15 0.003 NA #> 50 0.08 0.002 NA #> #> [[4]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet Weinbau frueh Weinbau spaet #> 1 1.85 NA NA NA NA #> 3 0.62 23.61 10.12 2.44 6.71 #> 5 0.38 15.42 5.60 1.02 2.99 #> 10 0.19 8.66 2.50 0.31 0.99 #> 15 0.13 4.01 1.28 0.16 0.52 #> 20 0.10 1.89 0.75 0.10 0.33 #> 30 0.06 0.66 0.35 0.05 0.17 #> 40 0.05 0.31 0.20 0.03 0.11 #> 50 0.04 0.17 0.13 0.02 0.08 #> crop #> distance Hopfenbau Flaechenkulturen > 900 l/ha Gleisanlagen #> 1 NA 2.290 NA #> 3 15.38 NA NA #> 5 8.26 0.120 NA #> 10 3.55 0.030 NA #> 15 2.17 0.020 NA #> 20 0.93 0.009 NA #> 30 0.31 0.004 NA #> 40 0.14 0.002 NA #> 50 0.08 0.002 NA #> #> [[5]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet Weinbau frueh Weinbau spaet #> 1 1.75 NA NA NA NA #> 3 0.59 23.12 9.74 2.37 6.59 #> 5 0.36 15.06 5.41 1.00 2.93 #> 10 0.18 8.42 2.43 0.31 0.98 #> 15 0.12 3.83 1.24 0.15 0.51 #> 20 0.09 1.81 0.72 0.09 0.33 #> 30 0.06 0.63 0.34 0.05 0.17 #> 40 0.05 0.30 0.20 0.03 0.11 #> 50 0.04 0.17 0.13 0.02 0.08 #> crop #> distance Hopfenbau Flaechenkulturen > 900 l/ha Gleisanlagen #> 1 NA 2.120 NA #> 3 15.12 NA NA #> 5 7.99 0.110 NA #> 10 3.36 0.030 NA #> 15 2.03 0.010 NA #> 20 0.88 0.008 NA #> 30 0.29 0.004 NA #> 40 0.14 0.002 NA #> 50 0.07 0.002 NA #> #> [[6]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet Weinbau frueh Weinbau spaet #> 1 1.64 NA NA NA NA #> 3 0.56 22.76 9.21 2.29 6.41 #> 5 0.34 14.64 5.18 0.97 2.85 #> 10 0.17 8.04 2.38 0.30 0.95 #> 15 0.11 3.71 1.20 0.15 0.50 #> 20 0.09 1.75 0.68 0.09 0.32 #> 30 0.06 0.61 0.31 0.05 0.17 #> 40 0.04 0.29 0.17 0.03 0.11 #> 50 0.03 0.16 0.11 0.02 0.07 #> crop #> distance Hopfenbau Flaechenkulturen > 900 l/ha Gleisanlagen #> 1 NA 1.980 NA #> 3 14.90 NA NA #> 5 7.79 0.100 NA #> 10 3.23 0.030 NA #> 15 1.93 0.010 NA #> 20 0.83 0.008 NA #> 30 0.28 0.004 NA #> 40 0.13 0.002 NA #> 50 0.07 0.001 NA #> #> [[7]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet Weinbau frueh Weinbau spaet #> 1 1.61 NA NA NA NA #> 3 0.55 22.69 9.10 2.24 6.33 #> 5 0.33 14.45 5.11 0.94 2.81 #> 10 0.17 7.83 2.33 0.29 0.94 #> 15 0.11 3.62 1.20 0.15 0.49 #> 20 0.08 1.71 0.67 0.09 0.31 #> 30 0.06 0.60 0.30 0.05 0.16 #> 40 0.04 0.28 0.17 0.03 0.10 #> 50 0.03 0.16 0.11 0.02 0.07 #> crop #> distance Hopfenbau Flaechenkulturen > 900 l/ha Gleisanlagen #> 1 NA 1.930 NA #> 3 14.63 NA NA #> 5 7.60 0.100 NA #> 10 3.13 0.030 NA #> 15 1.86 0.010 NA #> 20 0.81 0.008 NA #> 30 0.26 0.004 NA #> 40 0.12 0.002 NA #> 50 0.06 0.001 NA #> #> [[8]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet Weinbau frueh Weinbau spaet #> 1 1.52 NA NA NA NA #> 3 0.52 22.24 8.66 2.16 6.26 #> 5 0.31 14.09 4.92 0.91 2.78 #> 10 0.16 7.58 2.29 0.28 0.93 #> 15 0.11 3.48 1.14 0.14 0.49 #> 20 0.08 1.65 0.65 0.09 0.31 #> 30 0.05 0.57 0.29 0.04 0.16 #> 40 0.04 0.27 0.16 0.03 0.10 #> 50 0.03 0.15 0.11 0.02 0.07 #> crop #> distance Hopfenbau Flaechenkulturen > 900 l/ha Gleisanlagen #> 1 NA 1.640 NA #> 3 13.53 NA NA #> 5 7.15 0.090 NA #> 10 3.01 0.020 NA #> 15 1.82 0.010 NA #> 20 0.78 0.007 NA #> 30 0.25 0.003 NA #> 40 0.12 0.002 NA #> 50 0.06 0.001 NA #>