Soil Sample Results Can Reveal if SCN Management is Working

dc.contributor.author Tylka, Gregory
dc.date 2018-02-16T21:36:40.000
dc.date.accessioned 2020-06-30T01:52:32Z
dc.date.available 2020-06-30T01:52:32Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2008
dc.date.embargo 2015-08-11
dc.date.issued 2008-12-01
dc.description.abstract <p>Fall soil sampling has been promoted for many years as an effective way to detect the soybean cyst nematode (SCN) in fields. But many Midwestern soybean producers already know which fields are infested with SCN and have been growing SCN-resistant soybean varieties for numerous years to manage SCN population densities. The key to profitable long-term soybean production in SCN-infested fields is to prevent SCN population densities (numbers) from increasing.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/cropnews/760/
dc.identifier.articleid 1737
dc.identifier.contextkey 7445176
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath cropnews/760
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/19549
dc.language.iso en
dc.relation.ispartofseries Integrated Crop Management News
dc.source.bitstream archive/lib.dr.iastate.edu/cropnews/760/20081201_TylkaGL_SoilSampleResults.pdf|||Sat Jan 15 01:51:17 UTC 2022
dc.subject.disciplines Agricultural Science
dc.subject.disciplines Agriculture
dc.subject.disciplines Plant Pathology
dc.subject.keywords Plant Pathology
dc.title Soil Sample Results Can Reveal if SCN Management is Working
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 1113743f-89dc-4805-8212-529b30642102
relation.isSeriesOfPublication 6c8d0b1a-8ab6-4a4b-bfd0-00466ede7d16
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