Indiana CCA Conference 2023 Presentation
 
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Presentations

T10

Crop Management
Tue, Dec 19, 2023
10:00am to 10:50am

T3

Crop Management
Tue, Dec 19, 2023
3:00pm to 3:50pm

Changes in Maize Hybrids from 1980 to 2020: Yield Potential, Water-nitrogen-use Efficiencies, and Nutrient Composition

We will present results from a recent ERA study in which we evaluated Bayer maize hybrids (released from 1980 to 2020) under a range of production situations and management settings (relative maturities, plant densities, irrigation, fertilization, fungicides) across the US Corn Belt. We will focus on grain yield gains, water and nitrogen use efficiencies, nutrient composition (protein, P, K and S) and stover amount.  

Speakers

Tony Vyn

Professor
Purdue University
Biography

Dr. Tony J. Vyn, Professor of Agronomy and Corteva Agriscience Henry A. Wallace Chair in Crop Sciences. Tony has studied crop rotation and tillage systems for his whole career, first at the University of Guelph in Ontario, Canada, and then at Purdue University since 1998. For the past 25 years, Tony has directed Purdue’s long-term tillage plots that were started in 1975 by previous faculty at Purdue. Together with many graduate students and research team members, Tony has investigated the applications and challenges involved in adopting more sustainable cropping systems. He has always been interested in getting to a better understanding corn physiology and nutrient efficiency changes with modern genetics and new management approaches. Tony plans to retire at the end of 2023.

Sotirios Archontoulis

Professor
Iowa State University
Biography

Sotirios Archontoulis is a professor of integrated cropping systems at the Department of Agronomy, Iowa State University. His research aims to predict impacts (e.g. climate change), explain causes (e.g. high/low yields), and design future strategies to improve crop productivity and environmental sustainability. His approach combines field experimentation with process-based simulation models to understand Genotype x Environment x Management interactions and enable prediction at scale.