Sample fields this fall for SCN to figure out 2007 or plan for 2008

dc.contributor.author Tylka, Gregory
dc.contributor.author Tylka, Gregory
dc.date 2018-02-17T00:28:11.000
dc.date.accessioned 2020-06-30T01:54:15Z
dc.date.available 2020-06-30T01:54:15Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 2007
dc.date.embargo 2015-09-08
dc.date.issued 2007-10-01
dc.description.abstract <p>The soybean cyst nematode (SCN) is a serious, widespread pest of soybean in Iowa and most soybean-producing areas of the Midwest. The nematode infests more than 70 percent of the fields in Iowa. However, SCN usually causes no obvious aboveground symptoms for many years after being introduced into a field. Consequently, many SCN-infested fields in Iowa may go undiagnosed. The lack of symptoms and subsequent missed diagnosis are unfortunate because the key to effective management of SCN is early detection, before large nematode population densities develop. It is much easier to keep low population densities low than to drive high population densities down. Large nematode population densities can cause severe damage to soybeans, especially in very dry years.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/cropnews/980/
dc.identifier.articleid 1988
dc.identifier.contextkey 7568531
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath cropnews/980
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/19793
dc.language.iso en
dc.relation.ispartofseries Integrated Crop Management News
dc.source.bitstream archive/lib.dr.iastate.edu/cropnews/980/20071001_TylkaGL_SampleFieldsFall.pdf|||Sat Jan 15 02:38:08 UTC 2022
dc.subject.disciplines Agricultural Science
dc.subject.disciplines Agriculture
dc.subject.disciplines Plant Pathology
dc.subject.keywords Plant Pathology
dc.title Sample fields this fall for SCN to figure out 2007 or plan for 2008
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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