Simulation of within field variability of corn yield with Ceres-Maize model
Autor(a) principal: | |
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Data de Publicação: | 1999 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.2134/1999.precisionagproc4.c34b http://hdl.handle.net/11449/32497 |
Resumo: | The 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. |
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Repositório Institucional da UNESP |
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Simulation of within field variability of corn yield with Ceres-Maize modelThe 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.UNESP, São Paulo State Univ, Dept Soil Sci, São Paulo, BrazilUNESP, São Paulo State Univ, Dept Soil Sci, São Paulo, BrazilAmer Soc AgronomyUniversidade Estadual Paulista (Unesp)Cora, J. E.Pierce, F. J.Basso, B.Ritchie, J. T.2014-05-20T15:21:20Z2014-05-20T15:21:20Z1999-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1309-1319http://dx.doi.org/10.2134/1999.precisionagproc4.c34bProceedings of the Fourth International Conference on Precision Agriculture, Pts A and B. Madison: Amer Soc Agronomy, p. 1309-1319, 1999.http://hdl.handle.net/11449/3249710.2134/1999.precisionagproc4.c34bWOS:000089526200120Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the Fourth International Conference on Precision Agriculture, Pts A and Binfo:eu-repo/semantics/openAccess2024-06-07T14:24:33Zoai:repositorio.unesp.br:11449/32497Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:06:34.194230Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Simulation of within field variability of corn yield with Ceres-Maize model |
title |
Simulation of within field variability of corn yield with Ceres-Maize model |
spellingShingle |
Simulation of within field variability of corn yield with Ceres-Maize model Cora, J. E. |
title_short |
Simulation of within field variability of corn yield with Ceres-Maize model |
title_full |
Simulation of within field variability of corn yield with Ceres-Maize model |
title_fullStr |
Simulation of within field variability of corn yield with Ceres-Maize model |
title_full_unstemmed |
Simulation of within field variability of corn yield with Ceres-Maize model |
title_sort |
Simulation of within field variability of corn yield with Ceres-Maize model |
author |
Cora, J. E. |
author_facet |
Cora, J. E. Pierce, F. J. Basso, B. Ritchie, J. T. |
author_role |
author |
author2 |
Pierce, F. J. Basso, B. Ritchie, J. T. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Cora, J. E. Pierce, F. J. Basso, B. Ritchie, J. T. |
description |
The 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. |
publishDate |
1999 |
dc.date.none.fl_str_mv |
1999-01-01 2014-05-20T15:21:20Z 2014-05-20T15:21:20Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.2134/1999.precisionagproc4.c34b Proceedings of the Fourth International Conference on Precision Agriculture, Pts A and B. Madison: Amer Soc Agronomy, p. 1309-1319, 1999. http://hdl.handle.net/11449/32497 10.2134/1999.precisionagproc4.c34b WOS:000089526200120 |
url |
http://dx.doi.org/10.2134/1999.precisionagproc4.c34b http://hdl.handle.net/11449/32497 |
identifier_str_mv |
Proceedings of the Fourth International Conference on Precision Agriculture, Pts A and B. Madison: Amer Soc Agronomy, p. 1309-1319, 1999. 10.2134/1999.precisionagproc4.c34b WOS:000089526200120 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings of the Fourth International Conference on Precision Agriculture, Pts A and B |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1309-1319 |
dc.publisher.none.fl_str_mv |
Amer Soc Agronomy |
publisher.none.fl_str_mv |
Amer Soc Agronomy |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808128756543389696 |