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| Registros recuperados : 20 | |
| 9. |  | SCHEPERS A. R.; SHANAHAN, J. F.; LIEBIG, M. A.; SCHEPERS, J. S.; JOHNSON, S. H.; LUCHIARI JUNIOR, A. Appropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years. Agronomy Journal, Madison, v. 96, n.1, p. 195-203, 2004.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 10. | | DURAES, F. O. M.; HONG, S-D.; SCHEPERS, J. S.; SHANAHAN, J. F.; MAGALHAES, P. C.; OLIVEIRA, A. C. de. Characterization of maize physiological responses to nitrogen stress by using chlorophyll fluorescence and gas exchange measurements. Brazilian Journal of Plant Physiology, Campinas, v. 15, p. 407, 2003. Suplemento.
Edição dos resumos do IX Congresso Brasileiro de Fisiologia Vegetal, 2003, Atibaia, SP.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 11. | | LUCHIARI JUNIOR, A.; SILVA, A. de S.; BUSCHINELLI, C. C. de A.; HERMES, L. C.; CARVALHO, J. R. P. de; SHANAHAN, J.; SCHEPERS, J. S. Agricultura de precisão e meio ambiente. In: MACHADO, P. L. O. de A.; BERNARDI, A. C. de C.; SILVA, C. A. (Ed.). Agricultura de precisão para o manejo da fertilidade do solo em sistema de plantio direto. Rio de Janeiro: Embrapa Solos, 2004. cap. 1, p. 19-35.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 12. | | INAMASU, R. Y.; SOUZA, R. de; PORTO, A. J. V.; FORTES, C.; LUCHIARI JUNIOR, A.; SCHEPERS, J. S.; SHANAHAN, J. F.; FRANCIS, D. D. Active sensor readings for assessing sugarcane crop canopy chlorophyll status. In: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 8., 2006, Minneapolis, Minnesota, USA. Conference abstracts. Minneapolis, Minnesota, USA: [S.l.p.], 2006.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 13. | | INAMASU, R. Y.; DE SOUZA, R.; PORTO, A. J. V.; FORTES, C.; LUCHIARI, A.; SCHEPERS, J. S.; SHANAHAM, J. F.; FRANCIS, D. D. Active sensor readings for assessing sugarcane crop canopy chlorophyll status. In: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 8., 2006, Minneapolis. Abstracts... [S. l.: s. n.], 2006. p. 156.| Biblioteca(s): Embrapa Instrumentação. |
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| 14. | | INAMASU, R. Y.; SOUSA, R. V.; PORTO, A. J. V.; FORTES, C.; LUCHIARI JUNIOR, A.; SCHEPERS, J. S.; SHANAHAN, J. F.; FRANCIS, D. D. Acesso ao estado nutricional da cana-de açúcar por meio de sensor ativo de refletância. In: CONGRESSO BRASILEIRO DE AGRICULTURA DE PRECISÃO, 2., 2006, São Pedro, SP. Anais... São Pedro, SP: ESALQ/USP, 2006. p. 1-7.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 15. | | INAMASU, R. Y.; SOUSA, R. V.; PORTO, A. J. V.; FORTES, C.; LUCHIARI, A.; SCHEPERS, J. S.; SHANAHAN, J. F.; FRANCIS, D. D. Acesso ao estado nutricional da cana-de-açúcar por meio de sensor ativo de refletância. In: CONGRESSO BRASILEIRO DE AGRICULTURA DE PRECISÃO - CONBAP, 2., 2006, São Pedro, SP. Anais... São Pedro: ESALQ/USP, 2006. Edição de José Paulo Molin e Carlos Alberto Vetorazzi. Não paginado. 1 CD-ROM.| Biblioteca(s): Embrapa Instrumentação. |
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| 16. | | INAMASU, R. Y.; PAYTON, S.; JOHNSON, S.; FRANCIS, D. D.; SCHLEMMER, M.; SHANAHAN, J. F.; LUCHIARI, A.; CALDWELL, R. M.; SCHEPERS, J. S. Controlador VRT com sensoriamento de alta resolução: uma ferramenta para desenvolvimento de algoritmos. In: CONGRESSO BRASILEIRO DE ENGENHARIA AGRÍCOLA - CONBEA, 33., São Pedro, 2004. Resumos... São Pedro, 2004. p. 111.| Biblioteca(s): Embrapa Instrumentação. |
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| 17. | | INAMASU, R. Y.; PAYTON, S.; JOHNSON, S.; FRANCIS, D. D.; SCHLEMMER, M.; SHANAHAN, J. F.; LUCHIARI JUNIOR, A.; CALDWELL, R. M.; SCHEPERS, J. S. Controlador VRT com sensoriamento de alta resolução: uma ferramenta para desenvolvimento de algoritmos. In: CONGRESSO BRASILEIRO DE ENGENHARIA AGRÍCOLA- CONBEA, 33., 2004, São Pedro, SP. Anais... Campinas : UNICAMP, Faculdade de Engenharia Agrícola: Embrapa Informática Agropecuária, 2004. 1 CD-ROM. 1 CD ROM| Biblioteca(s): Embrapa Meio Ambiente. |
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| 18. | | INAMASU, R. Y.; TANGERINO, G. T.; PORTO, A. J. V.; LUCHIARI, A.; SCHEPERS, J. S.; SHANAHAN, J. F.; FRANCIS, D. D.; SIMÕES, M. S. Using active sensor and ultrasound readings to assess plant N status. In: INTERNATIONAL CONFERENCE ON PRECISISON AGRICULTURE, 9., 2008, Denver. Abstracts... [Denver: s. n.], 2008. p. 181.| Biblioteca(s): Embrapa Instrumentação. |
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| 19. | | INAMASU, R. Y.; PAYTON, S.; JOHNSON, S.; FRANCIS, D. D.; SCHLEMMER, M.; SHANAHAN, J. F.; CALDWEEL, R. M.; LUCHIARI, A.; SCHEPERS, J. S. VRT para estudo de aplicação de fertilizantes nitrogenado durante o crescimento da cultura do milho. In: CONGRESSO BRASILEIRO DE AGRICULTURA DE PRECISÃO, 2004, Piracicaba. Anais...Piracicaba: ESALQ, 2004. não paginado| Biblioteca(s): Embrapa Instrumentação. |
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| 20. | | TORRE NETO, A.; VAZ, C. M. P.; MILORI, D. M.; JORGE, L. A. C.; RABELLO, L. M.; MATTOSO, L. H. C.; INAMASU, R. Y.; BASSANESI, R. B.; SCHEPERS, J. S. Instrumented citrus production. In: ALBRIGO, L. G.; EHSANI, R. (Ed.). Proceedings of the international symposium on application on precision agriculture for fruits and vegetables. Leaven: ISHS, 2009. p. 101-112. (Acta Horticulturae, 824).| Biblioteca(s): Embrapa Instrumentação. |
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| Registros recuperados : 20 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
16/08/2007 |
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Data da última atualização: |
25/05/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
COELHO, A. M.; DORAM, J. W.; SCHEPERS, J. S. |
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Afiliação: |
ANTONIO MARCOS COELHO, CNPMS; J. W. Doran, University of Nebraska; J. S. Schepers, University of Nebraska. |
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Título: |
Exploring cause and effect relationships of soil fertility on corn yield variability. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 31., 2007, Gramado. Conquistas e desafios da ciência do solo brasileira: [resumos expandidos]. Porto Alegre: UFRGS: SBCS, 2007. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Inglês |
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Conteúdo: |
In an experimenl conducted 10 asses lhe potencial causes of corn yield variabilily, the variation of phosphorus (P) and manganese (Mn), accounted for 79% of the variability in grain yield. Based on yield map the experimental field was divided in two general areas of management. One area (a) with grain yield below the average (11.30 Mg ha-1) and another one (b) with grain yield above average. Three treatments were applied 10 the corn: (1) 92 kg of P2O5 ha.-1 banded at 10 cm beside of planls and incorporated inlo lhe soil; (2) Mn applied on the com foliage at rate of 1.1 kg ha.-1 at the four and eight- leaf growth stages and, (3) combination of trealment 1 plus 2. Also, with lhe use of CERES-Maize model we eslimated the corn grain yield in area (a) by simulating two situations: (1) appliction of manure at 25 Mg ha-1 (dry matter basis), plus 100 kg ha-1 de ammonium phosphale al sowing time and 50 kg of N ha-1 applied side-dress as ammonium nitrate; (2) no manure, 100 kg ha-1 de ammonium phosphate at sowing time and 100 kg of N ha-1 applied side-dress as ammonium nitrate. The application of P and Mn fertilizers did not improve significantly the corn grain yield. Compared to the control, extra fertilizer application increase the grain yield by 1.25,0,86, and 1.27 Mg ha-1 due to applicalion of Mn, P, and combination of both fertilizers, respectively. These findings indicate that either yield was limited by constraints other than P and Mn, or application of P or Mn fertilizers did not adequately alleviate the deficiency of these nutrients in eroded soils. Corn grain yields measured in area (a) in 1997, ranged from 8.5 to 11.0 Mg ha-1 and averaged 10.5 Mg ha-1. The grain yield of 10.9 Mg ha-1simulated by CERES-Maize model withoul use of manure, was similar 10 the yield (10.5 Mg ha-1) measured for area (a). With the use of manure, the CERES-Maize model simulated a grain yield of 14.1 Mg ha-1, similar to the high grain yield (13.8 Mg ha-1) measured on the besl area of the field (area b). MenosIn an experimenl conducted 10 asses lhe potencial causes of corn yield variabilily, the variation of phosphorus (P) and manganese (Mn), accounted for 79% of the variability in grain yield. Based on yield map the experimental field was divided in two general areas of management. One area (a) with grain yield below the average (11.30 Mg ha-1) and another one (b) with grain yield above average. Three treatments were applied 10 the corn: (1) 92 kg of P2O5 ha.-1 banded at 10 cm beside of planls and incorporated inlo lhe soil; (2) Mn applied on the com foliage at rate of 1.1 kg ha.-1 at the four and eight- leaf growth stages and, (3) combination of trealment 1 plus 2. Also, with lhe use of CERES-Maize model we eslimated the corn grain yield in area (a) by simulating two situations: (1) appliction of manure at 25 Mg ha-1 (dry matter basis), plus 100 kg ha-1 de ammonium phosphale al sowing time and 50 kg of N ha-1 applied side-dress as ammonium nitrate; (2) no manure, 100 kg ha-1 de ammonium phosphate at sowing time and 100 kg of N ha-1 applied side-dress as ammonium nitrate. The application of P and Mn fertilizers did not improve significantly the corn grain yield. Compared to the control, extra fertilizer application increase the grain yield by 1.25,0,86, and 1.27 Mg ha-1 due to applicalion of Mn, P, and combination of both fertilizers, respectively. These findings indicate that either yield was limited by constraints other than P and Mn, or application of P or Mn fertilizers did ... Mostrar Tudo |
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Palavras-Chave: |
Spatial variability. |
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Thesaurus NAL: |
precision agriculture. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/36879/1/Exploring-cause.pdf
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Marc: |
LEADER 02657nam a2200169 a 4500
001 1490766
005 2018-05-25
008 2007 bl uuuu u00u1 u #d
100 1 $aCOELHO, A. M.
245 $aExploring cause and effect relationships of soil fertility on corn yield variability.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 31., 2007, Gramado. Conquistas e desafios da ciência do solo brasileira: [resumos expandidos]. Porto Alegre: UFRGS: SBCS$c2007
300 $c1 CD-ROM.
520 $aIn an experimenl conducted 10 asses lhe potencial causes of corn yield variabilily, the variation of phosphorus (P) and manganese (Mn), accounted for 79% of the variability in grain yield. Based on yield map the experimental field was divided in two general areas of management. One area (a) with grain yield below the average (11.30 Mg ha-1) and another one (b) with grain yield above average. Three treatments were applied 10 the corn: (1) 92 kg of P2O5 ha.-1 banded at 10 cm beside of planls and incorporated inlo lhe soil; (2) Mn applied on the com foliage at rate of 1.1 kg ha.-1 at the four and eight- leaf growth stages and, (3) combination of trealment 1 plus 2. Also, with lhe use of CERES-Maize model we eslimated the corn grain yield in area (a) by simulating two situations: (1) appliction of manure at 25 Mg ha-1 (dry matter basis), plus 100 kg ha-1 de ammonium phosphale al sowing time and 50 kg of N ha-1 applied side-dress as ammonium nitrate; (2) no manure, 100 kg ha-1 de ammonium phosphate at sowing time and 100 kg of N ha-1 applied side-dress as ammonium nitrate. The application of P and Mn fertilizers did not improve significantly the corn grain yield. Compared to the control, extra fertilizer application increase the grain yield by 1.25,0,86, and 1.27 Mg ha-1 due to applicalion of Mn, P, and combination of both fertilizers, respectively. These findings indicate that either yield was limited by constraints other than P and Mn, or application of P or Mn fertilizers did not adequately alleviate the deficiency of these nutrients in eroded soils. Corn grain yields measured in area (a) in 1997, ranged from 8.5 to 11.0 Mg ha-1 and averaged 10.5 Mg ha-1. The grain yield of 10.9 Mg ha-1simulated by CERES-Maize model withoul use of manure, was similar 10 the yield (10.5 Mg ha-1) measured for area (a). With the use of manure, the CERES-Maize model simulated a grain yield of 14.1 Mg ha-1, similar to the high grain yield (13.8 Mg ha-1) measured on the besl area of the field (area b).
650 $aprecision agriculture
653 $aSpatial variability
700 1 $aDORAM, J. W.
700 1 $aSCHEPERS, J. S.
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