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ARS Home » Plains Area » El Reno, Oklahoma » Grazinglands Research Laboratory » Agroclimate and Natural Resources Research » Research » Publications at this Location » Publication #300991

Research Project: AGRICULTURAL LAND MANAGEMENT TO OPTIMIZE PRODUCTIVITY AND NATURAL RESOURCE CONSERVATION AT FARM AND WATERSHED SCALES

Location: Agroclimate and Natural Resources Research

Title: Climate forecasts for corn producer decision making

Author
item Takle, Eugene
item Anderson, Christopher
item Anderson, Jeffrey
item Angel, James
item Elmore, Roger
item Gramig, Benjamin
item Guinan, Patrick
item Hilberg, Steven
item Kluck, Doug
item Schneider, Jeanne

Submitted to: Earth Interactions
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/21/2013
Publication Date: 3/1/2014
Citation: Takle, E.S., Anderson, C.J., Anderson, J., Angel, J., Elmore, R.W., Gramig, B.M., Guinan, P., Hilberg, S., Kluck, D., Schneider, J.M. 2014. Climate forecasts for corn producer decision making. Earth Interactions. 18(5):1-8.

Interpretive Summary: Corn is the most widely grown crop in the Americas, with annual production in the United States of approximately 332 million metric tons. Improved climate forecasts, together with climate-related decision tools for corn producers based on these improved forecasts, could substantially reduce uncertainty and increase profitability for corn producers. The purpose of this paper is to acquaint climate information developers, climate information users, and climate researchers with an overview of weather conditions throughout the year that affect corn production as well as forecast content and timing needed by producers. The authors created a complex cyclic depiction of a corn forecast–decision cycle for corn production decisions in the central Midwest, which clearly reveals the timing, lead times, and variables of highest interest from climate forecasts throughout the year. Through dialog among information providers, information users, and the research community, climate services for this significant agricultural sector can be meaningfully enhanced using this unique forecast–decision cycle perspective. The potential exists for this approach to be expanded for other crops and regions.

Technical Abstract: Corn is the most widely grown crop in the Americas, with annual production in the United States of approximately 332 million metric tons. Improved climate forecasts, together with climate-related decision tools for corn producers based on these improved forecasts, could substantially reduce uncertainty and increase profitability for corn producers. The purpose of this paper is to acquaint climate information developers, climate information users, and climate researchers with an overview of weather conditions throughout the year that affect corn production as well as forecast content and timing needed by producers. The authors created a complex cyclic depiction of a corn forecast–decision cycle for corn production decisions in the central Midwest, which clearly reveals the timing, lead times, and variables of highest interest from climate forecasts throughout the year. Through dialog among information providers, information users, and the research community, climate services for this significant agricultural sector can be meaningfully enhanced using this unique forecast–decision cycle perspective. The potential exists for this approach to be expanded for other crops and regions.