1995
DOI: 10.1111/j.1365-3180.1995.tb01784.x
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Variability of bioassays with metsulfuron‐methyl in soil

Abstract: Summary A total of 74 independently run bioassays with soil incorporated metsulfuron‐methyl from 12 different laboratories was analysed by a logistic dose‐response curve to assess the precision of regression parameters and relate ED50 to soil properties. The potency in terms of ED50 of metsulfuron‐methyl in Brassica rapa L., which was used by all laboratories, varied between 0.05 and 3.9 g a.i. ha‐1. ED50 was negatively correlated with pH and positively correlated with organic matter. The majority of laborator… Show more

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Cited by 42 publications
(46 citation statements)
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“…[19] The doses for 10% and 30% inhibition of root growth (EC 10 and EC 30 respectively) were calculated using the estimated parameters and the logistic equations. [21] The EC 50 , the dose giving 50% root growth reduction, was calculated by Gompertz model using the following expression:…”
Section: Statistical Analysesmentioning
confidence: 99%
“…[19] The doses for 10% and 30% inhibition of root growth (EC 10 and EC 30 respectively) were calculated using the estimated parameters and the logistic equations. [21] The EC 50 , the dose giving 50% root growth reduction, was calculated by Gompertz model using the following expression:…”
Section: Statistical Analysesmentioning
confidence: 99%
“…For Streibig et al (1988Streibig et al ( , 1995, when compared with other methods for the detection of residues in agroecosystems, such as chromatography, the mathematical modeling studies using bioassay methods, is not fully standardized yet. There are several types of models, in the literature, to estimate the phenomenon, however, the authors indicate the logistic or loglogistic model as the most appropriate to explain the dependence of plant development with herbicide dose variation, and especially for calculating the RG 50 (herbicide dose that reduces growth by 50% of the plant).…”
Section: Persistence Determination By Bioassaysmentioning
confidence: 99%
“…The best way to fit the curves is to use raw data and calculate R/S from the GR 50 . If one feels it will be more illustrative to show the relative scale, it can be done after curve fitting by using the estimated parameters of the upper d and lower c limits to scale the raw data (Streibig et al 1995).…”
Section: Evaluation Of Resistance Levelmentioning
confidence: 99%