Quantifying Corn Nitrogen Deficiency and Application Rate with Active Canopy Sensors

dc.contributor.author Sawyer, John
dc.contributor.author Barker, D. W.
dc.contributor.author Barker, Daniel
dc.contributor.department Agronomy
dc.date 2018-02-18T08:52:24.000
dc.date.accessioned 2020-06-29T23:02:18Z
dc.date.available 2020-06-29T23:02:18Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2010
dc.date.embargo 2017-04-11
dc.date.issued 2010-01-01
dc.description.abstract <p>Precision agriculture technologies are an integral part of many crop production operations. However, implementation for N application has lagged, primarily due to lack of a viable system for variable N rate decisions. Active canopy sensors have been developed as a tool to determine plant N stress deficiency and provide an on-the-go decision for implementing variable rate. Two general approaches could be implemented. One is to plan on conducting canopy sensing each year, with a reduced N rate applied preplant, at planting, or early sidedress and then sensing conducted at mid-vegetative growth to determine additional application need. A second is to conduct sensing only if conditions result in N loss from the primary N application, or other factors change expected crop requirements. Both approaches could address variable N fertilization and seasonal circumstances.</p>
dc.description.comments <p>This is a proceeding from <em>40th North Central Extension-Industry Soil Fertility Conference </em>26 (2010): 97. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/agron_conf/49/
dc.identifier.articleid 1046
dc.identifier.contextkey 10003175
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath agron_conf/49
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/4389
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/agron_conf/49/0-IPNI_Permission.pdf|||Sat Jan 15 00:29:33 UTC 2022
dc.source.bitstream archive/lib.dr.iastate.edu/agron_conf/49/2010_Sawyer_QuantifyingCorn.pdf|||Sat Jan 15 00:29:34 UTC 2022
dc.subject.disciplines Agricultural Science
dc.subject.disciplines Agriculture
dc.subject.disciplines Agronomy and Crop Sciences
dc.subject.disciplines Research Methods in Life Sciences
dc.title Quantifying Corn Nitrogen Deficiency and Application Rate with Active Canopy Sensors
dc.type article
dc.type.genre conference
dspace.entity.type Publication
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