Persistence of captan on apples, grapes, and pears in Ontario, Canada, 1981-1983

Frank, R.; Northover, John; Braun, H. E.

doi:10.1021/jf00063a044

Cited by 19 publications

(25 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As reported previously (Smith and MacHardy 1984;Frank et al 1985;1987;Northover et al 1986), there was a significant loss of captan due to wash-off by rain. The relationships between the loss and the amount of rainfall varied greatly between experiments and fields.…”

Section: Model Parameters For Captansupporting

confidence: 80%

“…Several previous studies reported that there was no appreciable loss of captan on tomato fruit (Frank et al 1987), apple and grape (Frank et al 1985), and cherry and peach (Northover et al 1986) under dry conditions. However, large loss of captan was shown under dry conditions in another field study (Smith and MacHardy 1984), which may have resulted from heavy dew.…”

Section: Model Parameters For Captanmentioning

confidence: 89%

“…All studies indicated that rain can wash a large proportion of pesticides off the plant tissue surface, although the precise relationship between the amount of rainfall and the extent of pesticide wash-off varies greatly even for the same pesticides between studies or between fields in the same studies (Smith and MacHardy 1984;Frank et al 1985Frank et al , 1987. The daily loss of pesticides under dry conditions is generally much less than that due to rain wash-off.…”

Section: Model For Initial Depositsmentioning

confidence: 99%

“…Captan is one of the most important fungicides used to control apple scab, particularly when apple mildew is not severe, and is also widely used to control diseases in many other crops (Gilvydis et al 1986;Northover et al 1986;Elzemaity 1988). Many studies have been conducted to investigate captan residues on various crops in relation to physiological and physical factors in laboratory, storage and field conditions (Smith and MacHardy 1984;Frank et al 1985;1987;Elzemaity 1988;Kiigemagi et al 1991).…”

Section: Model Evaluationmentioning

confidence: 99%

See 3 more Smart Citations

Modelling non-systemic pesticide residues in fruits with initial deposit variability and weather effects

Huo

Salazar

Hyder

et al. 2007

Food Additives & Contaminants

View full text Add to dashboard Cite

A flexible and generic model was developed to predict the decline of residues of a non-systemic pesticide for both single and multi-spray situations as well as for different tree canopy zones. The model predicts not only the average residue levels, but also the confidence interval of the residues through either a deterministic or a stochastic approach. This generic model includes several key aspects of residue fates in the environment: initial deposit, physical loss and growth dilution. The model considers a tree canopy in three distinct zones for which initial deposition of pesticides may differ. In addition to predicting the average residue within each zone, it also estimates the 95 and 99% confidence intervals of residues on individual fruit within each zone. For the purpose of evaluation, this model was parameterized specifically for captan, one of the most important non-systemic fungicides used to control disease in horticultural crops. The observed average initial deposit for each zone was used in the evaluation. The overall correlation between predicted average residues and those observed on apple fruit in two applications was 0.93. Confidence intervals were also predicted accurately.

show abstract

Section: Model Parameters For Captansupporting

confidence: 80%

Section: Model Parameters For Captanmentioning

confidence: 89%

Section: Model For Initial Depositsmentioning

confidence: 99%

Section: Model Evaluationmentioning

confidence: 99%

See 2 more Smart Citations

Modelling non-systemic pesticide residues in fruits with initial deposit variability and weather effects

Huo

Salazar

Hyder

et al. 2007

Food Additives & Contaminants

View full text Add to dashboard Cite

show abstract

“…Although iprodione has been used extensively in the production of grapes to control fruit rot, some resistance to this product has been reported and captan has been identified as the replacement in Canadian fruit (Frank et al 1985). Captan is known to degrade completely during the wine production process, while iprodione can be detected in wine (Cabras and Conte 2001).…”

Section: Resultsmentioning

confidence: 99%

Canadian Total Diet Study in 1998: Pesticide levels in foods from Whitehorse, Yukon, Canada, and corresponding dietary intake estimates

Rawn

Cao

Doucet

et al. 2004

Food Additives and Contaminants

View full text Add to dashboard Cite

The Canadian Total Diet Study is a national survey to determine the level of chemical contaminants in the Canadian food supply. Food samples were collected from Whitehorse, Yukon, supermarkets as part of the study in 1998. Whitehorse was chosen as a sampling centre, despite its small population (n = 19,000), to determine if residue levels were different in foods available in northern communities relative to levels observed in previous studies in the more populated south. Foods were prepared as for consumption before pesticide residue analysis. Residue levels observed in most foods were similar to levels observed in samples from previous surveys from southern Canadian cities. Malathion and DDE (1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene), a transformation product of DDT (1,1,1-trichloro-2,2-bis(p-chlorophenyl(ethane), were the two most frequently detected compounds (26.4 and 25.8%, respectively). The majority of pesticides, however, had a detection frequency of < 5%. In general, pesticides in food composites were well below maximum residue limits established in the Canadian Food and Drug Regulations. Chlorpropham and captan had the highest dietary intakes (2.16 and 1.94 micrograms (kg body weight-day)-1, respectively), based on the results from Whitehorse. No dietary intakes above the acceptable daily intakes, however, were observed for any of the 39 pesticides investigated in any age-sex category, where an acceptable daily intake has been proposed.

show abstract

The influence of water pH on efficacy of fungicides for turf disease control

Stacy

Latin

2020

Crop Forage & Turfgrass Mgmt

View full text Add to dashboard Cite

Fungicides are often mixed with water and applied as a dilute spray for controlling diseases on golf course turf. Although published reports show that water quality can influence the performance of certain herbicides, evidence of similar effects on fungicide efficacy is weak and largely anecdotal. The objective of this research was to investigate the influence of water pH on efficacy of fungicides commonly used against dollar spot, a problematic disease of creeping bentgrass (Agrostis stolonifera L.). Here, three fungicides (metconazole, thiophanate‐methyl, and iprodione) were mixed with water stabilized at three pH levels (pH = 5.0, 7.0, and 9.0) in in vitro and field experiments. A time factor was also considered (i.e., the time between mixing and application, where T0 indicated that the fungicides were applied immediately after mixing and T24 indicated that the fungicides were applied 24 h after mixing). Field experiments revealed little or no difference in fungicide performance when mixed in acidic (pH = 5.0), near‐neutral (pH = 7.0), and alkaline (pH = 9.0) water. The time factor was also not significant for all fungicides and water pH levels. Results from in vitro work on culture media supported field observations: few differences in pathogen growth were observed for pH and time factors. Although tank‐mixing products to neutralize water pH may be important, our results support the null hypothesis that the carrier water pH does not influence the efficacy of these three fungicides for controlling dollar spot on creeping bentgrass.

show abstract

Persistence of captan on apples, grapes, and pears in Ontario, Canada, 1981-1983

Cited by 19 publications

References 0 publications

Modelling non-systemic pesticide residues in fruits with initial deposit variability and weather effects

Modelling non-systemic pesticide residues in fruits with initial deposit variability and weather effects

Canadian Total Diet Study in 1998: Pesticide levels in foods from Whitehorse, Yukon, Canada, and corresponding dietary intake estimates

The influence of water pH on efficacy of fungicides for turf disease control

Contact Info

Product

Resources

About