Correlation Between Laboratory and Field Data on Testing Insecticides1

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Abstract
Although the relationship between laboratory toxicity data and field performance of pesticides is generally unexplored, the knowledge of such correlation would be valuable for the evaluation of new compounds. After trying various means of correlation, the following mathematical model has been derived by the method of least squares for the calculation of 215 pairs of comparisons of 15 Insecticides tested against several leaf-feeding insect pests: log Y = 0.0041 + 0.48 5 log X. Where X is the relative toxicity of a compound in the laboratory against a standard and expressed as the ratio of toxicity Indexes and Y is the relative performance of the same compound against the same standard and expressed as the ratio of field dosages. A good degree of correlation was obtained between laboratory and field data. When experimental data were substituted into the above equation the calculated dosages for demeton, diazinon, naled, azinophosmethyL malathion, methyl parathion, mevinphos, Aramite [2(p-tert-butylphenoxy) isopropyl-2-chloroethyl sulfitej dieldrin, DDT, [dichlorodiphenyl trichloroethane] Sd 3110 (5,6,7,8,9,9-hexachloro-1,4,4a, 5,8,8a-hexahydro-1,4:5,8-dl-methanopnthalazine), Sd 3450 (N-oxide of SD 3110), izobenzan, and car-baryl agree fairly well with their recommended field dosages for control of two-spotted spider mites, Tetranychus urtieae (Koch); pea aphids, Acyrthoslphon pisum (Harris); corn earworins, Hellothis zea (Boddie); and/or devastating grasshoppers, Melanoplus devastator 7 Scudder. This equation may be used also for calculating approximate field dosages for candidate insecticides and for selecting laboratory test methods for screening new compounds.

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