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ZeaKal Technology Advances Toward the Perfect Soybean

ZeaKal Technology Advances Toward the Perfect Soybean First to Increase Oil and Protein Without Yield Penalty Through Higher Carbon Capture News provided by Share this article Share this article SAN DIEGO, April 21, 2021 /PRNewswire/  ZeaKal today announced new data further demonstrating that its PhotoSeed™ technology is the first to improve the oil, protein and sustainability profile of soy, delivering greater nutritional composition and profitability across the supply chain. Across multiple field sites spanning top producing soybean states, PhotoSeed increased oil composition up to 17 percent and protein up to 7 percent on a dry weight basis – with consistent yields comparable to modern cultivars. Building on data released last year, ZeaKal s 2020 trials further proved that the novel trait technology delivered better carbon capture and overall nutritional composition in a year when the industry recorded an all-time low in soy protein levels. 

April WASDE Provides Forecast for Record Soybean Exports

Dalenberg named 2020 News-Gazette Farm Leader

MANSFIELD — An innovative and influential farmer near Mansfield has been named the 2020 News-Gazette Farm Leader. Ken Dalenberg has traveled the world through his work on international soybean organizations and has been an early adopter for the current wave of precision ag equipment, helping test products and tech for everyone from top manufacturers to California startups. He’s also helped countless researchers at the University of Illinois, running different trials on the farm he’s expanded since graduating from the UI in the 1970s. “He’s very serious about what he does,” Former University of Illinois President and dean of its College of Agricultural, Consumer and Environmental Sciences Bob Easter said. “Not only is Ken focused on … his farming operation and how to make it successful, he’s also very supportive of, engaged in and willing to take time to work on issues of importance to the broader agricultural community.”

SoyStage: An online tool for predicting soybean development

Ginger Rowsey A new website developed by University of Arkansas System Division of Agriculture can help farmers predict soybean development based on location and maturity group. Site predicts key soybean development stages for Midsouth farms. Midsouth soybean growers have a new management tool at their disposal. An interactive website called SoyStage uses weather data to predict soybean development based on emergence date, maturity group, and location. The site was developed by the University of Arkansas System Division of Agriculture.  “A lot of management decisions depend upon development stages,” said Larry Purcell, Distinguished Professor and Altheimer Chair for Soybean Research with the University of Arkansas. “For example, you want to make sure you’re irrigating during seedfill. This site can give you a very good idea of when seedfill would begin. Timing insecticide applications or coordinating labor for end of season activities

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