Show simple item record

dc.contributor.authorGreer, K.J.
dc.contributor.authorHilliard, C.R.
dc.contributor.authorSchoenau, J.J.
dc.contributor.authorAnderson, D.W.
dc.date.accessioned2018-09-14T13:51:08Z
dc.date.available2018-09-14T13:51:08Z
dc.date.issued1992-02-20
dc.identifier.urihttp://hdl.handle.net/10388/10566
dc.description.abstractTopsoil is highly enriched with organic matter, which provides a valuable source of plant nutrients as well as a favorable rooting environment. Over time, erosion processes selectively remove the organic matter-rich fine fraction which causes a measurable reduction in soil productivity. Assessments of past erosion are of little value in predicting future losses in productivity since the synergistic lowering of soil organic matter through lower residue inputs is not considered. Dynamic computer models, which simulate the plant/soil system, can project the long run future costs of soil erosion on crop yield. A simplified erosion-crop yield model was developed by first defining the most important soil productivity variables, then quantifying the effect of erosion on each variable. The model predicted a declining trend in grain yields similar to that observed on soil scalping experiments.en_US
dc.language.isoenen_US
dc.relation.ispartofSoils and Crops Workshop
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ca/*
dc.titleDeveloping simplified synergistic relationships to model topsoil erosion and crop yielden_US
dc.typePresentationen_US
dc.description.versionNon-Peer Reviewed


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 2.5 Canada
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 2.5 Canada