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dc.contributor.authorWang, Guangyao (Sam)
dc.contributor.authorOttman, Michael
dc.contributor.authorThorp, Kelly
dc.contributor.editorOttman, Michael J.en_US
dc.date.accessioned2012-02-16T18:48:14Z
dc.date.available2012-02-16T18:48:14Z
dc.date.issued2012-02
dc.identifier.urihttp://hdl.handle.net/10150/211156
dc.description.abstractOptimizing late N applications in durum wheat is highly needed to obtain adequate protein levels without affecting grain yield. A simple and rapid method for estimating crop yield at flowering stage and crop N status is required to make immediate N application decisions for increasing grain protein content. There were significant differences in grain yield and grain protein among N treatments and durum varieties. Using information on soil properties, weather data, crop management, and variety growth, DSSAT crop model predicted durum grain yield accurately. Canopy reflectance index NDVI at flowering time were closely correlated with crop yield and protein content. The results indicate the potential of using crop models and canopy reflectance index in durum wheat yield prediction and N management.
dc.language.isoen_USen_US
dc.publisherCollege of Agriculture, University of Arizona (Tucson, AZ)en_US
dc.relation.ispartofseriesAZ1559en_US
dc.relation.ispartofseriesSeries P-162en_US
dc.subjectAgriculture -- Arizonaen_US
dc.subjectGrain -- Arizonaen_US
dc.subjectForage plants -- Arizonaen_US
dc.subjectDurum -- Arizonaen_US
dc.titleLate N management in durum wheat using crop models and canopy reflectanceen_US
dc.typetexten_US
dc.typeArticleen_US
dc.contributor.departmentSchool of Plant Sciences / Maricopa Ag Center, University of Arizonaen_US
dc.contributor.departmentSchool of Plant Sciences, University of Arizonaen_US
dc.contributor.departmentArid-Land Ag Research Center, USDA-ARS, Maricopa, AZen_US
dc.identifier.journalForage and Grain: A College of Agriculture and Life Sciences Reporten_US
refterms.dateFOA2018-08-26T03:18:41Z
html.description.abstractOptimizing late N applications in durum wheat is highly needed to obtain adequate protein levels without affecting grain yield. A simple and rapid method for estimating crop yield at flowering stage and crop N status is required to make immediate N application decisions for increasing grain protein content. There were significant differences in grain yield and grain protein among N treatments and durum varieties. Using information on soil properties, weather data, crop management, and variety growth, DSSAT crop model predicted durum grain yield accurately. Canopy reflectance index NDVI at flowering time were closely correlated with crop yield and protein content. The results indicate the potential of using crop models and canopy reflectance index in durum wheat yield prediction and N management.


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