By Scout Nelson
A research group from the University of Nebraska Lincoln, led by plant scientist James Schnable, has been granted $650,000 by the U.S. Department of Energy. This funding is set to expand their pioneering work on predicting corn hybrid performance across diverse environments.
Schnable's team is building on preliminary findings that suggest RNA-based methodologies could surpass traditional DNA-based strategies in determining the functionality of corn genes and the physical traits of the plants.
This substantial financial support will enable the team to test their RNA-based predictive model on a broader scale, involving up-to-date hybrid varieties grown across multiple states.
Collaborating with partners in Nebraska and five other states, the team will collect and analyze RNA data to refine their model and benchmark its performance against leading DNA-based prediction techniques.
The initiative represents the largest study to date focused on using RNA for corn gene identification and phenotype prediction. This research is pivotal for converting scientific discoveries into practical applications that can be utilized by farmers, particularly in Nebraska.
The implications of this research are significant considering the changing climate conditions that impact agricultural productivity, such as altered growing seasons and unpredictable rainfall. The advanced predictive capabilities could lead to the development of new corn varieties that are more productive and efficient, ultimately aiding farmers in navigating future agricultural challenges.
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Categories: Nebraska, Crops, Corn, Education