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dc.contributor.authorAbate, Zewdie Alemayehu
dc.date.accessioned2014-09-18T14:28:34Z
dc.date.available2014-09-18T14:28:34Z
dc.date.issued2001-08-01
dc.identifier.urihttps://hdl.handle.net/11244/10907
dc.description.abstractVisual selection is a common practice in wheat breeding programs. In fact, it is the best tool for selecting genotypes with the desirable traits from segregating populations. However, there are always subjective differences among breeders depending on theoretical knowledge, practical experience, and knowledge of the genetic background of the populations. Because of these differences, breeders need a tool that will increase the probability of selecting improved wheat genotypes for important agronomic traits such as grain yield, biomass, nitrogen use efficiency, etc. Hence, non-destructive canopy reflectance measurements have been proposed as an additional tool for selection of wheat genotypes prior to their entry into replicated multi-location trials (F4-F6). Normalized-difference vegetative index (NOVI), in-season estimated yiield (INSEY), and estimated yield (EY) are the canopy reflectance measurements utilized in this experiment. The objectives were to determine the association of NOVI, INSEY, and EY with important agronomic traits such as grain yield, biomass, and nitrogen use efficiency, and to determine their value as selection criteria for identifying potentially superior wheat genotypes.
dc.formatapplication/pdf
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.titlePerformance Of Winter Wheat For Grain Yield And Nitrogen Use Efficiency Using Canopy Reflectance Indices
dc.typetext
osu.filenameThesis-2001-A119p.pdf
osu.accesstypeOpen Access
dc.type.genreThesis


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