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This study aimed to evaluate the dicamba residue after cleanout procedures in sprayers with different tank materials (fiberglass and polyethylene) and its effects on the symptomology of non-dicamba tolerant (DT) soybean. The experiment consisted of spraying rinsates collected during a cleanout of boom sprayers on non-DT soybean at the V3 stage. Once the dicamba solution was mixed in the sprayer tank and sprayed, four rinses were made, and for each rinse, a sample was collected. The dicamba residue analyses in each rinse solution were conducted in a completely randomized design with three replicates in a 2 × 4 factorial scheme, corresponding to two sprayer tank materials (fiberglass and polyethylene) and four rinses, using High-Performance Liquid Chromatograph (HPLC). The evaluation of the potential risk of injury on non-DT soybean caused by dicamba residue was conducted in a randomized block design with four replicates and a 2 × 4 + 1 factorial scheme, corresponding to two types of sprayer tank material (fiberglass and polyethylene), four rinses, and control (without application). The dicamba was effectively removed using at least three rinses regardless of spray tank material. Fiberglass tank sprayer retained more residue in the first rinsate, but similar to polyethylene tank sprayer in the following rinses. Plant height was reduced by spraying rinsates collected from the first rinse regardless of tank material. In contrast, visual estimation of injury and reduced yield were observed due to the rinsate application collected from the first and second rinses.
Matheus G. Marques; João Paulo A. R. da Cunha; Guilherme S. Alves. Dicamba residues in sprayers: Phytotoxicity on non-dicamba tolerant soybean. Revista Brasileira de Engenharia Agrícola e Ambiental 2021, 25, 1 .
AMA StyleMatheus G. Marques, João Paulo A. R. da Cunha, Guilherme S. Alves. Dicamba residues in sprayers: Phytotoxicity on non-dicamba tolerant soybean. Revista Brasileira de Engenharia Agrícola e Ambiental. 2021; 25 (8):1.
Chicago/Turabian StyleMatheus G. Marques; João Paulo A. R. da Cunha; Guilherme S. Alves. 2021. "Dicamba residues in sprayers: Phytotoxicity on non-dicamba tolerant soybean." Revista Brasileira de Engenharia Agrícola e Ambiental 25, no. 8: 1.
The recent availability of soybean cultivars with resistance to dicamba herbicide has increased the risk of injury in susceptible cultivars, mainly as a result of particle drift. To predict and identify the damage caused by this herbicide requires great accuracy. The objective of this work was to evaluate the injury caused by the simulated drift of dicamba on soybean (nonresistant to dicamba) plants assessed visually and using the Triangular Greenness Index (TGI) from images obtained from Remotely Piloted Aircraft (RPA). The study was conducted in a randomized complete block design with four replications during the 2019/2020 growing season, and the treatments consisted of the application of six doses of dicamba (0, 0.28, 0.56, 5.6, 28, and 112 g acid equivalent dicamba ha−1) on soybean plants at the third node growth stage. For the evaluation of treatments using the TGI technique, spectral data acquired through a Red Green Blue (RGB) sensor attached to an RPA was used. The variables studied were the visual estimation of injury, TGI response at 7 and 21 days after application, plant height, and crop yield. The exposure to the herbicide caused a reduction in plant height and crop yield. Vegetation indices, such as TGI, have the potential to be used in the evaluation of injury caused by dicamba, and may be used to cover large areas in a less subjective way than visual assessments.
Matheus Marques; João da Cunha; Ernane Lemes. Dicamba Injury on Soybean Assessed Visually and with Spectral Vegetation Index. AgriEngineering 2021, 3, 240 -250.
AMA StyleMatheus Marques, João da Cunha, Ernane Lemes. Dicamba Injury on Soybean Assessed Visually and with Spectral Vegetation Index. AgriEngineering. 2021; 3 (2):240-250.
Chicago/Turabian StyleMatheus Marques; João da Cunha; Ernane Lemes. 2021. "Dicamba Injury on Soybean Assessed Visually and with Spectral Vegetation Index." AgriEngineering 3, no. 2: 240-250.