Research

The Long View of Nitrogen Recommendations from Nebraska Extension January 6, 2017

At the 2017 Crop Production Clinics, the Nebraska Extension Soils Team is presenting a historical overview of how nitrogen recommendations for corn have developed and changed since the 1950s. We are also discussing what may lay ahead for nitrogen management.

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Stephen Baenziger, professor of agronomy and horticulture at the University of Nebraska-Lincoln will lead a three-year, $975,000 research project focused on the development of hybrid wheat. (Craig Chandler/University Communication)
Stephen Baenziger, professor of agronomy and horticulture at the University of Nebraska-Lincoln will lead a three-year, $975,000 research project focused on the development of hybrid wheat. (Craig Chandler/University Communication)

New Multi-State Research on Developing Higher Yielding Hybrid Wheats December 19, 2016

A University of Nebraska-Lincoln research team has earned a three-year grant from the U.S. Department of Agriculture to develop higher yielding lines of hybrid wheat that can meet rising demand for the staple food crop.

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Topped sugar beets and storage sacks
Figure 1. Topped sugar beets are placed in bags and storage conditions are simulated to study the effect of post-harvest fungicide treatments.

Panhandle REC Studying Sugar Beet Storage Treatments December 14, 2016

Four post-harvest sugar beet fungicide treatments are being evaluated as part of a new research study underway at the University of Nebraska Panhandle Research and Extension Center in Scottsbluff. The study, which is looking at whether fungicide treatments can improve winter storability of beets, is being conducted with support from Syngenta and Western Sugar Cooperative.

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Slide promoting Listen to corn grow time lapse video
Listen to corn grow time lapse video

Can you hear the corn grow? Yes! November 29, 2016

The sound corn emits while growing is surprisingly similar to the sound of breaking corn, such as during greensnap, and may help scientists develop stronger, more resilient corn plants.

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Biological Systems Engineering Assistant Professor Santosh Pitla (left) talks with BSE Graduate Student John Evans about the class they're teaching where students explore access and analysis of operational data from tractors.
Figure 1. Biological Systems Engineering Assistant Professor Santosh Pitla (left) talks with BSE Graduate Student John Evans about the class they're teaching. Students learn how to access and analyze tractor data.

Agricultural Machinery Data Acquisition and Analytics Research Could Lead to Increased Fuel and Field Efficiencies October 28, 2016

How much power are your farm implements using and how can you make them more efficient? These are among the questions being addressed by Santosh Piitla, an assistant professor of advanced machinery systems in the University of Nebraska Department of Biological Systems Engineering. Pitla is developing software to analyze key data from a tractor's multiple computers. Eventually the data will lead to "real-time," in-the-cab feedback to help operators manage field equipment more efficiently.

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From the Combine: Considering Changes for 2017? Use On-farm Research to Test Them October 21, 2016

As hoppers, trucks and bins are filling up with corn and soybeans this fall, it’s the ideal time for growers to consider whether this year's production practices were profitable for their operation.

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Mehmet Can Vuran (left) and Suat Irmak have earned a $450,000 NSF grant to develop a second generation of underground sensor technology.
Mehmet Can Vuran (left) and Suat Irmak have earned a $450,000 NSF grant to develop a second generation of underground sensor technology.

UNL Researchers Receive NSF Grant to Develop Next Generation Soil Sensors September 2, 2016

University of Nebraska-Lincoln researchers have received a $450,000 grant from the National Science Foundation to develop a second generation of underground sensor technology to automate decision-making for crop irrigation.

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Patricio Grassini and a field of corn
Patricio Grassini and a field of corn

UNL Corn Yield Model Verifies as Reliable Larger Scale Predictor June 13, 2016

Collecting basic agricultural data from a mere 45 sites can provide enough predictive power to reasonably estimate crop yields within a 10-state swath of the U.S. Corn Belt, says a new study led by the University of Nebraska-Lincoln. The study compared actual corn production from 2011 through 2014 against best-case projections from the UNL Hybrid-Maize model that accounts for weather, soil properties and planting practices.

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