Research Supported by MSPB Explores Options for Weed Management

MSPB proudly supports research to develop and improve methods and techniques used to grow soybeans and strives to help farmers make informed decisions based on the latest research and technology. This year MSPB is supporting the following research projects concerning weed management.

  • In its final year, the 2,4-D and Dicamba Resistant Soybeans: Stewardship and Testing research expects to provide developments in the methodology of identifying low-volatility 2,4-D and dicamba formulations. Researchers also hope to develop a program to participate in grower education to promote stewardship of auxin herbicide use. PI: Ashli Brown
  • The Weed Management Program for Mississippi Soybean Production is a continuous project that aims to identify, develop and disseminate cost-effective control strategies for various weeds affecting Mississippi soybeans. The project expects to provide control options for a variety of weeds, with consideration of new herbicide technologies and management practices. PI: Jason Bond
  • The Dicamba Volatility Under Field Conditions study plans to compare the volatilities of all available dicamba formulations. Objectives of the study include determining the effect of potential tank-mix partners on volatility of dicamba herbicides, as well as the effect of spray target and temperature on new dicamba formulations. PI: Dan Reynolds
  • The Herbicide Efficacy and Economic Return as Affected by Precision Agriculture Technology project expects to affect the spray system purchasing decisions of soybean producers in Mississippi with its findings. The objectives of the study are to compare weed control, application efficiency, drift potential and economic returns from using various precision spray systems. PI: Dan Reynolds
  • The Evaluation of Palmer Amaranth with Summer and Winter Cover Crops Alone and Coupled with Herbicides is in its third year of research and expects to yield results in the development of an alternative production system that utilizes the best cover crop management practices. The study aims to evaluate a series of variables using indigenous and exotic cover crops. PI: Dan Reynolds
  • The Assessing Soybean Injury from Dicamba Application Using Multispectral Imaging on a Small UAV project will develop UAV-based imaging to help assess soybean injury caused by dicamba applications at different growth stages to soybeans not tolerant to dicamba. The study expects to provide for the acquisition of data that can be used to determine and assess soybean yield loss due to dicamba applications to soybean crops at different growth stages and non-tolerant varieties. PI: Yanbo Huang

Research results, white papers, management resources and more for growing soybeans in Mississippi are available at MSSOY.org.

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