Analysis of a database of pesticide residues on plants for wildlife risk assessment.
Current methods to estimate exposure of wildlife to pesticides from diet depend on a database of published residue concentrations on crop plants normalized to a standard application rate to obtain a residue from a unit dosage (RUD). This database, first published in the early 1970s, was updated in the 1990s. For each category of crops, maximum and mean residues are determined and used to extrapolate concentrations on plants across application rates in calculations of risk. The present study aims to update the database, to examine the validity of extrapolating RUD values across application rates, and to improve the categorization of crops using crop morphology and cultivation methods. The slope of the linear regression of residue concentrations against application rate in 41 trials was significantly different from one in all but five cases. This supports the assumption that residue concentrations are directly proportional to the application rate, although less than half the variance in residue concentrations was explained by the linear model. Residues on leaves were partitioned into eight categories of crops using information regarding plant morphology and cultivation method. Fruit size was an additional variable useful for segregating residues into four categories: Small fruits, large fruits, pods, and grains. The proposed changes increase the amount of variance explained in the residue database from 19 to 32%. Depending on the crop category, residues on fruits were 2- to 16-fold lower than those on leaves. Residue concentrations on leaves of short plants were more than fourfold higher than those on leaves of tall plants. Descriptive statistics are provided for each of the proposed crop categories.
Baril
Alain
A
National Wildlife Research Centre, Canadian Wildlife Service, Environment Canada, Carleton University, Ottawa, Ontario K1A 0H3, Canada. alain.baril@ec.gc.ca
Whiteside
Mélanie
M
Boutin
Céline
C
D000704:Analysis of Variance; D000818:Animals; D018556:Crops, Agricultural / Q000737:chemistry; D016208:Databases, Factual; D005638:Fruit / Q000737:chemistry; D008954:Models, Biological; D010573:Pesticide Residues / Q000032:analysis* / Q000633:toxicity; D010944:Plants / Q000737:chemistry*; D012044:Regression Analysis; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000706:statistics & numerical data
D010573:Pesticide Residues