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United States Department of Agriculture

Agricultural Research Service

Research Project: REDUCING NITRATE LOSSES FROM AGRICULTURAL FIELDS WITH SUBSURFACE DRAINAGE Title: A Centralized Regional Database for Winter Cover Crops in Annual Cropping Systems

Authors
item Kaspar, Thomas
item Kladivko, E - PURDUE UNIVERSITY
item Wyse, D - UNIVERSITY OF MINNESOTA
item Verhallen, E - ONTARIO MINISTRY OF AGRIC
item Sundermeier, A - OHIO STATE UNIVERSITY
item Mutch, D - MICHIGAN STATE UNIVERSITY
item Baas, D - MICHIGAN STATE UNIVERSITY

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: October 9, 2008
Publication Date: October 9, 2008
Citation: Kaspar, T.C., Kladivko, E., Wyse, D.L., Verhallen, E.A., Sundermeier, A., Mutch, D.R., Baas, D.G. 2008. A Centralized Regional Database for Winter Cover Crops in Annual Cropping Systems [CD-ROM]. In: ASA-CSSA-SSSA Annual Meeting Abstracts, Oct. 5-9, 2008, Houston, TX.

Technical Abstract: Winter cover crops have the potential to reduce erosion, minimize losses of nitrogen and phosphorus, and increase soil carbon in annual cropping systems in the Midwest. Public support, however, for incentives to farmers to adopt cover crops is minimal. Therefore, development of location-specific recommendations and documentation of cover crop environmental benefits are needed to facilitate adoption and to increase public support for cover crops in the Midwest. To begin to accomplish this, a centralized regional database will be established with cover crop growth, management, and environmental benefit information collected from multiple past and present winter cover crop trials and demonstrations across the region. Although data from many locations will focus on cereal rye cover crops, data on other cover crops, including other small grains, legumes, brassicas, and grasses, will be included in the database as available. By necessity the database will be structured to allow input of information from locations with comprehensive data sets and from locations with minimal information, including farmers’ fields. The preliminary database framework is described and example data presented.

Last Modified: 4/23/2014
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