Optimizing a Pesticide Fate Model Using Field Dissipation Studies on Alfalfa to Predict Honeybee Exposure and Risk

Pesticide fate modeling can be used to explore the expected effects of spray timing on pest and beneficial insects. To obtain accurate dissipation predictions, chemical-specific properties including the foliar photodegradation and foliar penetration rates are needed. In this work, photodegradation r...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Ashlie D. Kinross (13732123) (author)
مؤلفون آخرون:	Sean Lyons (7941230) (author), Kimberly J. Hageman (1541110) (author), Micah McClure (22698317) (author), Randa Jabbour (3072489) (author), Thomas Borch (1349157) (author)
منشور في:	2025
الموضوعات:	Biophysics Biochemistry Biotechnology Ecology Plant Biology Chemical Sciences not elsewhere classified specific properties including predict honeybee exposure pesticide dissipation model measured insecticide concentrations foliar penetration rates indoxacarb photodegradation rates alfalfa fields using active ingredient alone measured photodegradation rates photodegradation rates active ingredient foliar photodegradation model optimization photodegradation rate three insecticides spray timing significantly different rate similar insecticides chlorpyrifos expected effects dark control chlorpyrifos degraded beneficial insects
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Optimizing a Pesticide Fate Model Using Field Dissipation Studies on Alfalfa to Predict Honeybee Exposure and Risk

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