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Registros recuperados : 123 | |
21. | | ROMANO, L. C.; REISSER JUNIOR, C.; TIMM, L. C.; MONTEIRO, A. B.; MAZZARO, R. V. Desempenho da estação agrometeorológica automática na estimativa da evapotranspiração de referência. In: ENCONTRO DE INICIAÇÃO CIENTÍFICA E PÓS-GRADUAÇÃO DA EMBRAPA CLIMA TEMPERADO, 6., 2016, Pelotas. Ciência: Empreendedorismo e inovação: anais. Brasília, DF: Embrapa, 2016. p. 97-100 Biblioteca(s): Embrapa Clima Temperado. |
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23. | | BLODORN, R.; BOEIRA, R. C.; AQUINO, L. S.; OLDONI, H.; TIMM, L. C. Estudo da variabilidade espacial da fração argila do solo em diferentes profundidades em uma área experimental em Jaguariúna-SP. In: CONGRESSO DE INICIAÇÃO CIENTÍFICA, 19.; MOSTRA CIENTÍFICA, 2., ENCONTRO DE PÓS-GRADUAÇÃO, 12., 2010, Pelotas. Anais... Pelotas: Universidade Federal de Pelotas, 2010. 1 CD-ROM. CA 0477. 4 p. Biblioteca(s): Embrapa Meio Ambiente. |
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26. | | MONTEIRO, A. B.; ROMANO, L. R.; REISSER JUNIOR, C.; TOEBE, M.; TIMM, L. C. influência da irrigação na qualidade da fruta e nos componentes de produtividade em pomar de pessegueiro cv. esmeralda. In: CONGRESSO DE INICIAÇÃO CIENTÍFICA, 25.; ENCONTRO DE PÓS-GRADUAÇÃO UFPEL, 18.; SEMANA INTEGRADA DE ENSINO, PESQUISA E EXTENSÃO, 2., 2016, Pelotas. Anais... Pelotas: UFPel, 2016. Biblioteca(s): Embrapa Clima Temperado. |
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29. | | MONTEIRO, A. B.; TIMM, L. C.; REISSER JUNIOR, C.; ROMANO, L. R.; TOEBE, M. Influence of irrigation and soil texture in the growth of peach tree branches and fruits of cv. Esmeralda. Irriga, Botucatu, v. 24, n. 3, p. 610-623, jul./set. 2019. Biblioteca(s): Embrapa Clima Temperado. |
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31. | | MONTEIRO, A. B.; PEREIRA, I. dos S.; BAMBERG, A. L.; STÖCKER, C. M.; TIMM, L. C. Substrates for seedlings with sewage sludge and biochar. Revista Ceres, Viçosa, v. 67, n. 6, p. 491-500, nov./dec. 2020. Biblioteca(s): Embrapa Clima Temperado. |
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32. | | SHE, D. L.; SHAO, M. A.; TIMM, L. C.; REICHARDT, K. Temporal changes of an alfalfa succession and related soil physical properties on the Loess Plateau, China. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 44, n. 2, p. 189-196, fev. 2009. Título em português: Variações temporais de uma sucessão de alfafa e de propriedades físicas do solo a elas relacionadas no Loess Plateau, China. Biblioteca(s): Embrapa Unidades Centrais. |
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33. | | TIMM, L. C.; BARBOSA, E. P.; SOUZA, M. D. de; DYNIA, J. F.; REICHARD, K. State-space analysis of soil data: an approach based on space-varying regresion models. Scientia Agricola, Piracicaba, v. 60, n. 2, p. 371-376, 2003 Biblioteca(s): Embrapa Meio Ambiente. |
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35. | | MONTEIRO, B. A.; REISSER JUNIOR, C.; ROMANO, L. R.; TIMM, L. C.; TOEBE, M. Water potential in peach branches as a function of soil water storage and evaporative demand of the atmosphere¹. Revista Brasileira de Fruticultura, Jaboticabal, 2018, v. 40, n. 1, p. 1-10, 2018. Biblioteca(s): Embrapa Clima Temperado. |
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36. | | TERRA, V. S. S.; REISSER JUNIOR, C.; TIMM, L. C.; PEREIRA, J. F. M.; CARVALHO, F. L. C.; OLDONI, H. Avaliação do comportamento espacial e temporal de alguns atributos da planta de pessegueiro, durante três anos de observações. In: BERNARDI, A. C. de C.; NAIME, J. de M.; RESENDE, A. V. de; BASSOI, L. H.; INAMASU, R. Y. (Ed.). Agricultura de precisão: resultados de um novo olhar. Brasília, DF: Embrapa, 2014. p. 421-426 Biblioteca(s): Embrapa Clima Temperado. |
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39. | | NEBEL, A.; PARFITT, J. M. B.; TIMM, L. C.; AQUINO, L. S.; RECKZIEGEL, N. L.; GONÇALVES, F. C. Aplicação da geoestatística como suporte para a irrigação da lavoura de arroz em solos de várzeas. In: CONGRESSO BRASILEIRO DE ARROZ IRRIGADO, 5.; REUNIÃO DA CULTURA DO ARROZ IRRIGADO, 27., 2007, Pelotas. Anais... Pelotas: Embrapa Clima Temperado, 2007. v. 1, p. 401-403 Biblioteca(s): Embrapa Clima Temperado. |
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40. | | TERRA, V. S. S.; REISSER JUNIOR, C.; TIMM, L. C.; CARVALHO, F. L. C.; PEREIRA, J. F. M. Análise espacial da temperatura e umidade relativa do ar em um pomar de pessegueiro, no município de Morro Redondo-RS. In: INAMASU, R. Y.; NAIME, J. de M.; RESENDE, Á. V. de.; BASSOI, L. H.; BERNARDI, A. C. de C. Agricultura de precisão: um novo olhar. São Carlos, SP: Embrapa Instrumentação, 2011. p. 207-211. Biblioteca(s): Embrapa Clima Temperado. |
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Registros recuperados : 123 | |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
02/10/2006 |
Data da última atualização: |
20/09/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
TIMM, L. C.; BARBOSA, E. P.; SOUZA, M. D. de; DYNIA, J. F.; REICHARD, K. |
Afiliação: |
L. C. TIMM, CENA/USP; E. P. BARBOSA, IMECC/Unicamp; MANOEL DORNELAS DE SOUZA, CNPMA; J. F. DYNIA, CENA/USP; K. REICHARD, CENA/USP. |
Título: |
State-space analysis of soil data: an approach based on space-varying regresion models. |
Ano de publicação: |
2003 |
Fonte/Imprenta: |
Scientia Agricola, Piracicaba, v. 60, n. 2, p. 371-376, 2003 |
Idioma: |
Inglês |
Conteúdo: |
The assessment of the relationship among soil properties (such as total nitrogen and organic carbon) taken along lines called transects is a subject of great interest in agricultural experimentation. This question has been usually approached through standard state-space methods by some authors in the soil science literature. Important limitations of the mentioned procedures used in practice are pointed out and discussed in this paper, specially those related to the model parameters, meaning and practical interpretation. In the standard state-space approach, based on an autoregressive structure, it does not present any parameters that express the variables relationship at the same point in space, but only at lagged points. Also, its model parameters (in the transition matrix) have a global meaning and not a local one, not expressing more directly the soil heterogeneity. Therefore, the objective here is to propose an alternative state-space approach, based on dynamic (space-varying parameters) regression models in order to avoid the mentioned drawbacks. Soil total nitrogen and soil organic carbon samples were collected on a Typic Haplustox. Samples were taken along a line (transect) located in the middle of two adjacent contour lines. The transect samples, totaling 97, were collected in the plow layer (0-0.20 m) at points spaced 2 meters appart. Results show the comparative advantages of the proposed method (based on an alternative state-space approach) in relation to the standard state-space analysis. Such advantages are related to a more adequate incorporation of soil heterogeneity along the spatial transect resulting in a better model fitting, and greater flexibility of the model's building process with an easier interpretability of the local model coefficients. MenosThe assessment of the relationship among soil properties (such as total nitrogen and organic carbon) taken along lines called transects is a subject of great interest in agricultural experimentation. This question has been usually approached through standard state-space methods by some authors in the soil science literature. Important limitations of the mentioned procedures used in practice are pointed out and discussed in this paper, specially those related to the model parameters, meaning and practical interpretation. In the standard state-space approach, based on an autoregressive structure, it does not present any parameters that express the variables relationship at the same point in space, but only at lagged points. Also, its model parameters (in the transition matrix) have a global meaning and not a local one, not expressing more directly the soil heterogeneity. Therefore, the objective here is to propose an alternative state-space approach, based on dynamic (space-varying parameters) regression models in order to avoid the mentioned drawbacks. Soil total nitrogen and soil organic carbon samples were collected on a Typic Haplustox. Samples were taken along a line (transect) located in the middle of two adjacent contour lines. The transect samples, totaling 97, were collected in the plow layer (0-0.20 m) at points spaced 2 meters appart. Results show the comparative advantages of the proposed method (based on an alternative state-space approach) in relation to the stan... Mostrar Tudo |
Thesagro: |
Análise do solo; Modelo matemático; Química do solo. |
Categoria do assunto: |
S Ciências Biológicas |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163851/1/Timm-State-Space-6393.pdf
|
Marc: |
LEADER 02407naa a2200205 a 4500 001 1015026 005 2017-09-20 008 2003 bl uuuu u00u1 u #d 100 1 $aTIMM, L. C. 245 $aState-space analysis of soil data$ban approach based on space-varying regresion models.$h[electronic resource] 260 $c2003 520 $aThe assessment of the relationship among soil properties (such as total nitrogen and organic carbon) taken along lines called transects is a subject of great interest in agricultural experimentation. This question has been usually approached through standard state-space methods by some authors in the soil science literature. Important limitations of the mentioned procedures used in practice are pointed out and discussed in this paper, specially those related to the model parameters, meaning and practical interpretation. In the standard state-space approach, based on an autoregressive structure, it does not present any parameters that express the variables relationship at the same point in space, but only at lagged points. Also, its model parameters (in the transition matrix) have a global meaning and not a local one, not expressing more directly the soil heterogeneity. Therefore, the objective here is to propose an alternative state-space approach, based on dynamic (space-varying parameters) regression models in order to avoid the mentioned drawbacks. Soil total nitrogen and soil organic carbon samples were collected on a Typic Haplustox. Samples were taken along a line (transect) located in the middle of two adjacent contour lines. The transect samples, totaling 97, were collected in the plow layer (0-0.20 m) at points spaced 2 meters appart. Results show the comparative advantages of the proposed method (based on an alternative state-space approach) in relation to the standard state-space analysis. Such advantages are related to a more adequate incorporation of soil heterogeneity along the spatial transect resulting in a better model fitting, and greater flexibility of the model's building process with an easier interpretability of the local model coefficients. 650 $aAnálise do solo 650 $aModelo matemático 650 $aQuímica do solo 700 1 $aBARBOSA, E. P. 700 1 $aSOUZA, M. D. de 700 1 $aDYNIA, J. F. 700 1 $aREICHARD, K. 773 $tScientia Agricola, Piracicaba$gv. 60, n. 2, p. 371-376, 2003
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