WASHINGTON, DC (July 22, 2019) — In recognition of the crucial role soybeans play in U.S. agriculture, the Foundation for Food & Agriculture Research (FFAR) awarded a $942,000 Seeding Solutions Grant to the United States Department of Agriculture (USDA) Agricultural Research Service (ARS), alongside scientific partners North Carolina State University and VIB (Institute for Biotechnology in Flanders, Belgium), to improve soybean crop resiliency. The FFAR grant has been matched with funding from Benson Hill Biosystems, BASF and VIB for a total $1.89 million award.
Soybean is a complete source of protein that contains all the essential amino acid for human nutrition. Soy meal demand is projected to grow as protein demand increases worldwide. This surge in demand is happening concurrently with global climate shifts and more frequent extreme weather, including cold snaps and heat waves. Extreme weather is devastating to soybean crop yields and nutritional content, making it imperative that researchers determine how to increase soybean resiliency in response to climate change.
“Our research demonstrates that the response of soybean protein content to temperature varies among different genetic varieties,” said Dr. Anna Locke (USDA-ARS), the principal investigator of this project. “Using deep learning techniques, we can analyze the effects of weather variability on soybean yield and protein production and work to develop high protein varieties that can withstand the stresses associated with changing climates.”
Dr. Anna Locke and her team, including co-principal investigators of this project, Dr. Ive De Smet (VIB) and Dr. Ross Sozzani (NCSU), will use advanced machine learning algorithms to leverage the natural genetic diversity of plants and improve the sustainability, nutrition and flavor profiles of crops with greater precision than previously possible. Researchers will evaluate key temperature stress regulators, develop a test to rapidly screen soybean genotypes for temperature tolerance and ultimately provide data that will allow crop breeders to identify new temperature tolerant soybean varieties more efficiently.
“We share FFAR’s vision to foster innovation and collaboration to address complex challenges in food production,” said Matthew Crisp, CEO and co-founder of Benson Hill Biosystems. “By applying data analytics and machine learning, we can gain insight into how to optimize the nutrition and yield of soybean simultaneously for different climatic conditions.”