Dicamba emissions under field conditions as affected by surface condition
| Autor: | Thomas C. Mueller, Lawrence E. Steckel |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
ved/biology
ved/biology.organism_classification_rank.species 04 agricultural and veterinary sciences Plant Science 010501 environmental sciences Pesticide 01 natural sciences Groundcover Normal field chemistry.chemical_compound Agronomy chemistry Potential change Green materials Dicamba 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Weed Agronomy and Crop Science 0105 earth and related environmental sciences Field conditions |
| Zdroj: | Weed Technology. 35:188-195 |
| ISSN: | 1550-2740 0890-037X |
| DOI: | 10.1017/wet.2020.106 |
| Popis: | The evolution and widespread distribution of glyphosate-resistant broadleaf weed species catalyzed the introduction of dicamba-resistant crops that allow this herbicide to be applied POST to soybean and cotton. Applications of dicamba that are most cited for off-target movement have occurred in June and July in many states when weeds are often in high densities and at least 10 cm or taller at the time of application. For registration purposes, most field studies examining pesticide emissions are conducted using bare ground or very small plants. Research was conducted in Knoxville, TN, in the summer of 2017, 2018, and 2019 to examine the effect of application surface (tilled soil, dead plants, green plants) on dicamba emissions under field conditions. Dicamba emissions after application were affected by the treated surface in all years, with the order from least to most emissions being dead plants < tilled soil < green plant material. In fact, dicamba emissions were >300% when applied to green plants compared to other surfaces. These findings suggest that dicamba applications made to bare ground will likely underestimate what may occur under normal field use conditions when POST applications are made and the crop canopy or weed groundcover is nearly 100% green material. A potential change to enhance the accuracy of current environmental simulation models would be to increase the theoretical findings to allow for the effect of green plant material on dicamba emissions under field conditions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|