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dc.contributor.advisorRaun, William Robert
dc.contributor.authorMullock, Jeremiah Lee
dc.date.accessioned2014-04-15T22:06:16Z
dc.date.available2014-04-15T22:06:16Z
dc.date.issued2012-07-01
dc.identifier.urihttps://hdl.handle.net/11244/9351
dc.description.abstractCurrent methods of applying nitrogen (N) fertilizer do not treat small scale variability that is known to exist. Variations in corn grain yield can be found from one plant to the next. With knowledge that yield potential can be predicted by-plant, this in turn can be used to adjust fertilizer N rates for individual plants. This study was conducted in 2010 and 2011 to evaluate by-plant sidedress N using plant height and normalized difference vegetation index (NDVI) sensor readings. Treatments included preplant N rates of 0, 45, 90, and 180 kg N ha-1 with 180 kg N ha-1 as a reference strip. Sidedress N was applied as a variable rate on a by-plant basis, uniform rate on a by-plant basis, and uniform rate on the entire row with a non-fertilized check included. By-plant sidedress N applications increased yields when the preplant N rate was optimized. When preplant N rates exceeded the optimum needed for maximum grain yields, no benefits of by-plant N fertilization were observed.
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dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleBy-plant Sidedress Nitrogen in Corn (Zea Mays L.) Based on Plant Height and Normalized Difference Vegetation Index
dc.typetext
dc.contributor.committeeMemberArnall, Daryl Brian
dc.contributor.committeeMemberTaylor, Randy
osu.filenameMullock_okstate_0664M_12176.pdf
osu.collegeAgricultural Sciences and Natural Resources
osu.accesstypeOpen Access
dc.description.departmentDepartment of Plant and Soil Sciences
dc.type.genreThesis
dc.subject.keywordsby-plant
dc.subject.keywordscorn
dc.subject.keywordsmaize
dc.subject.keywordsndvi
dc.subject.keywordsnitrogen
dc.subject.keywordsoptical sensor


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