Interseeding Cover Crops into Early Season Corn and Soybean: Species Selection
April 27, 2023
In this article, Nebraska Extension evaluates numerous cover crop species for interseeding and provides guidance on how to choose the species that will best fit your production needs.
Herbicide Considerations When Interseeding Cover Crops
April 20, 2023
UNL Extension professionals provide insights on timing and volume of herbicide applications for interseeded cover crops to help producers avoid germination and plant establishment issues this growing season.
Don’t Lose Out on Free Nitrogen from Irrigation Water
April 20, 2023
Extension recommendations for calculating the amount of nitrate-nitrogen in irrigation water and optimal timing of applications to reduce the cost of nitrogen inputs in irrigated corn.
On-Farm Research Early-season Interseeding into Corn and Soybean Results (2019-2022)
April 13, 2023
The final results of a three-year study on interseeding cover crops in early-season corn and soybean include observations on yield, soil quality and net return.
Nebraska Extension is Ready to Meet You at Husker Harvest Days 2022
September 7, 2022
Nebraska Extension educators and specialists will be sharing insights and research on a wide variety of ag topics with attendees during the 2022 Husker Harvest Days.
Scheduling the Last Few Irrigations of the Season
August 25, 2022
Factors such as the amount of water a soil can hold, the amount of water a crop will use until it reaches maturity, and the maximum allowable soil water depletion should be considered when deciding the last few irrigations of the season.
Sensors on the Pivot for Automated Irrigation Scheduling in the Great Plains
June 29, 2022
Results of a research project on optimizing irrigation methods by utilizing thermal and multispectral center pivot sensors to gather crop data.
Study Reviews Farmer Irrigation Scheduling Tendencies in Central Nebraska
June 15, 2022
While a recent study revealed that irrigators tend to overwater on wetter years, extension experts recommend data-driven decisions for optimizing yields, saving water and lowering cost of production.