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dc.contributor.authorCora, J. E.
dc.contributor.authorPierce, F. J.
dc.contributor.authorBasso, B.
dc.contributor.authorRitchie, J. T.
dc.date.accessioned2014-05-20T15:21:20Z
dc.date.available2014-05-20T15:21:20Z
dc.date.issued1999-01-01
dc.identifierhttp://dx.doi.org/10.2134/1999.precisionagproc4.c34b
dc.identifier.citationProceedings of the Fourth International Conference on Precision Agriculture, Pts A and B. Madison: Amer Soc Agronomy, p. 1309-1319, 1999.
dc.identifier.urihttp://hdl.handle.net/11449/32497
dc.description.abstractThe CERES-Maize model was used to estimate the spatial variability in corn (Zea mays L.) yield for 1995 and 1996 using data measured on soil profiles located on a 30.5 m grid within a 3.9 ha field in Michigan. The model was calibrated for one grid profile for the 1995 and then used to simulate corn yield for all grid points for the 2 yrs. For the calibration for 1995, the model predicted corn yield within 2%. For 1995, the model predicted yield variability very well (r(2) = 0.85), producing similar yield maps with differences generally within +/- 300 kg ha(-1). For 1996, the model predicted low grain yields (1167 kg ha(-1)) compared with measured (8928 kg ha(-1)) because the model does not account for horizontal water movement within the landscape or water contributions from a water table. Under nonlimiting water conditions, the model performed well (average of 8717 vs. 8948 kg ha(-1)) but under-estimated the measured yield variability.en
dc.format.extent1309-1319
dc.language.isoeng
dc.publisherAmer Soc Agronomy
dc.relation.ispartofProceedings of the Fourth International Conference on Precision Agriculture, Pts A and B
dc.sourceWeb of Science
dc.titleSimulation of within field variability of corn yield with Ceres-Maize modelen
dc.typeTrabalho apresentado em evento
dcterms.licensehttps://dl.sciencesocieties.org/copyright/
dcterms.rightsHolderAmer Soc Agronomy
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationUNESP, São Paulo State Univ, Dept Soil Sci, São Paulo, Brazil
dc.description.affiliationUnespUNESP, São Paulo State Univ, Dept Soil Sci, São Paulo, Brazil
dc.identifier.doi10.2134/1999.precisionagproc4.c34b
dc.identifier.wosWOS:000089526200120
dc.rights.accessRightsAcesso restrito
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt
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