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Diclosulam and Sulfentrazone in the management of weeds in soybean RR

Grant number: 12/00671-0
Support Opportunities:Regular Research Grants
Start date: April 01, 2012
End date: March 31, 2013
Field of knowledge:Agronomical Sciences - Agronomy - Crop Science
Principal Investigator:Patrícia Andrea Monquero
Grantee:Patrícia Andrea Monquero
Host Institution: Centro de Ciências Agrárias (CCA). Universidade Federal de São Carlos (UFSCAR). Araras , SP, Brazil

Abstract

The Roundup Ready soybean facilitated the control of weeds by allowing the use of glyphosate in all development stages of this crop. But the continuous use of this herbicide can select resistant biotype weeds and tolerant species, suggesting the necessity of developing new management practices. Thus, the objective of this proposal is to evaluate the efficacy of different managements in soybean crop, using residual and post emergent herbicides in the weed control, their possible damages in the next crop (corn) and the interference of straw and precipitation on the efficacy of two herbicides, diclosulam and sulfentrazone. The first experiment, at field, will use the randomized block design with 4 repetitions and 14 treatments, involving the application of different mixtures of residual herbicides diclosulam (35 g ai ha-1) and sulfentrazone (600 g ai ha-1) and post emergent glyphosate (960 g ai ha-1) and 2,4-D (806 g ai ha-1) in the burn down, 14 days before seedling the soybean, some treatments will also be sprayed with glyphosate after soybean emerge, in development stages V2 and V4 (480 g ai ha-1 in each one) and others will be spayed only at V2 or V4 (960 g ai ha-1). The second experiment, at greenhouse, will use the randomized block design with 4 repetitions in the factorial 2 x 3 x 5, being two herbicides diclosulam (35 g ai ha-1) and sulfentrazone (600 g ai ha-1), three levels of corn straw above the soil (0; 5 and 10 t/ha) and five times of 20 mm rain simulation (without rain; 24; 72; 120 and 240 hours after herbicide application), each experimental unity will be a vase and after rain simulation a bioindicator, susceptible to the products, will be planted in the vases, to be used in the evaluations. (AU)

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