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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
04/01/2018 |
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Data da última atualização: |
04/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MORAES, A. G. de L.; FRANCELINO, M. R.; CARVALHO JUNIOR, W. de; PEREIRA, M. G.; THOMAZINI, A.; SCHAEFER, C. E. G. R. |
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Afiliação: |
ANDRÉ GERALDO DE LIMA MORAES, UFRRJ; MARCIO ROCHA FRANCELINO, UFRRJ; WALDIR DE CARVALHO JUNIOR, CNPS; MARCOS GERVASIO PEREIRA, UFRRJ; ANDRÉ THOMAZINI, UFV; CARLOS ERNESTO GONÇALVES REYNAUD SCHAEFER, UFV. |
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Título: |
Environmental correlation and spatial autocorrelation of soil properties in Keller Peninsula, Maritime Antarctica. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 41, 2017. Ref. e0170021. |
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DOI: |
10.1590/18069657rbcs20170021 |
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Idioma: |
Inglês |
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Conteúdo: |
The pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil property variation in relation to environmental covariates under periglacial conditions at Keller Peninsula, Maritime Antarctica. We considered the hypothesis that covariates normally used for environmental correlation elsewhere can be adequately employed in periglacial areas in Maritime Antarctica. For that purpose, 138 soil samples from 47 soil sites were collected for analysis of soil chemical and physical properties. We tested the correlation between soil properties (clay, potassium, sand, organic carbon, and pH) and environmental covariates. The environmental covariates selected were correlated with soil properties according to the terrain attributes of the digital elevation model (DEM). The models evaluated were linear regression, ordinary kriging, and regression kriging. The best performance was obtained using normalized height as a covariate, with an R2 of 0.59 for sand. In contrast, the lowest R2 of 0.15 was obtained for organic carbon, also using the regression kriging method. Overall, results indicate that, despite the predominant periglacial conditions, the environmental covariates normally used for digital terrain mapping of soil properties worldwide can be successfully employed for understanding the main variations in soil properties and soil-forming factors in this region. Keywords: kriging, geostatistical methods, soil variability. MenosThe pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil property variation in relation to environmental covariates under periglacial conditions at Keller Peninsula, Maritime Antarctica. We considered the hypothesis that covariates normally used for environmental correlation elsewhere can be adequately employed in periglacial areas in Maritime Antarctica. For that purpose, 138 soil samples from 47 soil sites were collected for analysis of soil chemical and physical properties. We tested the correlation between soil properties (clay, potassium, sand, organic carbon, and pH) and environmental covariates. The environmental covariates selected were correlated with soil properties according to the terrain attributes of the digital elevation model (DEM). The models evaluated were linear regression, ordinary kriging, and regression kriging. The best performance was obtained using normalized height as a covariate, with an R2 of 0.59 for sand. In contrast, the lowest R2 of 0.15 was obtained for organic carbon, also using the regression kriging method. Overall, results indicate that, despite the predominant periglacial conditions, the environmental covariates normally used for digital terrain mapping of soil properties worldwide can be successfully employed for understanding the main variations in s... Mostrar Tudo |
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Palavras-Chave: |
Krigagem; Métodos geoestatísticos; Variabilidade do solo. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/170287/1/2017-084.pdf
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Marc: |
LEADER 02389naa a2200229 a 4500
001 2084192
005 2018-01-04
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1590/18069657rbcs20170021$2DOI
100 1 $aMORAES, A. G. de L.
245 $aEnvironmental correlation and spatial autocorrelation of soil properties in Keller Peninsula, Maritime Antarctica.$h[electronic resource]
260 $c2017
520 $aThe pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil property variation in relation to environmental covariates under periglacial conditions at Keller Peninsula, Maritime Antarctica. We considered the hypothesis that covariates normally used for environmental correlation elsewhere can be adequately employed in periglacial areas in Maritime Antarctica. For that purpose, 138 soil samples from 47 soil sites were collected for analysis of soil chemical and physical properties. We tested the correlation between soil properties (clay, potassium, sand, organic carbon, and pH) and environmental covariates. The environmental covariates selected were correlated with soil properties according to the terrain attributes of the digital elevation model (DEM). The models evaluated were linear regression, ordinary kriging, and regression kriging. The best performance was obtained using normalized height as a covariate, with an R2 of 0.59 for sand. In contrast, the lowest R2 of 0.15 was obtained for organic carbon, also using the regression kriging method. Overall, results indicate that, despite the predominant periglacial conditions, the environmental covariates normally used for digital terrain mapping of soil properties worldwide can be successfully employed for understanding the main variations in soil properties and soil-forming factors in this region. Keywords: kriging, geostatistical methods, soil variability.
653 $aKrigagem
653 $aMétodos geoestatísticos
653 $aVariabilidade do solo
700 1 $aFRANCELINO, M. R.
700 1 $aCARVALHO JUNIOR, W. de
700 1 $aPEREIRA, M. G.
700 1 $aTHOMAZINI, A.
700 1 $aSCHAEFER, C. E. G. R.
773 $tRevista Brasileira de Ciência do Solo, Viçosa, MG$gv. 41, 2017. Ref. e0170021.
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Registro original: |
Embrapa Solos (CNPS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
21/08/2023 |
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Data da última atualização: |
04/12/2023 |
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Tipo da produção científica: |
Circular Técnica |
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Autoria: |
KUDLAWIEC, K.; TOMEN, A.; BERGAMIN, A. C.; MIGUEL-WRUCK, D. S.; MOREIRA, E. N.; GHENO, E. A.; POLETTO, E. M.; CONSTANTINO, E. J.; ROJAS, E. P.; ARAÚJO JÚNIOR, I. V.; CACIQUE, I. S.; ASCARI, J. P.; BERGAMIN, L. P. P.; BELUFI, L. M. de R.; ZULLI, M. R.; MÜLLER, M. A.; BONALDO, S. M.; GODOY, C. V.; LOPES, I. de O. N.; UTIAMADA, C. M.; MEYER, M. C.; CAMPOS, H. D. |
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Afiliação: |
KARLA KUDLAWIEC, FUNDAÇÃO MATO GROSSO; ALANA TOMEN, PROTEPLAN PESQUISA E ASSESSORIA AGRÍCOLA LTDA; ANDERSON CRISTIAN BERGAMIN, UNIVERSIDADE FEDERAL DE RONDÔNIA – UNIR; DULANDULA SILVA MIGUEL WRUCK, CPAMT; EDER NOVAES MOREIRA, FITOLAB PESQUISA E DESENVOLVIMENTO AGRÍCOLA; ELIEZER ANTÔNIO GHENO, CENTRO DE PESQUISA CELEIRO DO NORTE – CPCEN; EDER MATEUS POLETTO, CENTRO DE PESQUISA CELEIRO DO NORTE – CPCEN; ELVIS JÓSEFER CONSTANTINO, EPR CONSULTORIA & PESQUISA AGRONÔMICA; ENRIQUE POUYÚ ROJAS (IN MEMORIAM), EPR CONSULTORIA & PESQUISA AGRONÔMICA; IVAN PEDRO ARAÚJO JÚNIOR, PROTEPLAN PESQUISA E ASSESSORIA AGRÍCOLA LTDA; ISAIAS SEVERINO CACIQUE, FITOLAB PESQUISA E DESENVOLVIMENTO AGRÍCOLA; JOÃO PAULO ASCARI, FUNDAÇÃO MATO GROSSO; LUARA PESSATTO PARÉ BERGAMIN, SOLO FÉRTIL CONSULTORIA AGRÍCOLA E PECUÁRIA; LUANA MARIA DE ROSSI BELUFI, FUNDAÇÃO DE PESQUISA E DESENVOLVIMENTO TECNOLÓGICO RIO VERDE; MARCOS ROBERTO ZULLI, MZ CONSULTORIA AGRONÔMICA PESQUISA & EXPERIMENTAÇÃO; MÔNICA ANGHINONI MÜLLER, FUNDAÇÃO MATO GROSSO; SOLANGE MARIA BONALDO, UNIVERSIDADE FEDERAL DE MATO GROSSO; CLAUDIA VIEIRA GODOY, CNPSO; IVANI DE OLIVEIRA NEGRAO LOPES, CNPSO; CARLOS MITINORI UTIAMADA, TAGRO; MAURICIO CONRADO MEYER, CNPSO; HERCULES DINIZ CAMPOS, UNIRV. |
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Título: |
Eficiência de fungicidas para o controle da podridão de grãos da soja, na safra 2022/2023: resultados sumarizados dos ensaios cooperativos. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Londrina: Embrapa Soja, 2023. |
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Páginas: |
32 p. |
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Série: |
(Embrapa Soja. Circular Técnica, 197). |
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Idioma: |
Português |
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Thesagro: |
Doença Fúngica; Fungicida; Grão; Podridão; Soja. |
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Thesaurus NAL: |
Fungicides; Grains; Soybeans. |
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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/259003/1/Circ-Tec-197.pdf
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Marc: |
LEADER 01326nam a2200469 a 4500
001 2156013
005 2023-12-04
008 2023 bl uuuu u0uu1 u #d
100 1 $aKUDLAWIEC, K.
245 $aEficiência de fungicidas para o controle da podridão de grãos da soja, na safra 2022/2023$bresultados sumarizados dos ensaios cooperativos.$h[electronic resource]
260 $aLondrina: Embrapa Soja$c2023
300 $a32 p.
490 $a(Embrapa Soja. Circular Técnica, 197).
650 $aFungicides
650 $aGrains
650 $aSoybeans
650 $aDoença Fúngica
650 $aFungicida
650 $aGrão
650 $aPodridão
650 $aSoja
700 1 $aTOMEN, A.
700 1 $aBERGAMIN, A. C.
700 1 $aMIGUEL-WRUCK, D. S.
700 1 $aMOREIRA, E. N.
700 1 $aGHENO, E. A.
700 1 $aPOLETTO, E. M.
700 1 $aCONSTANTINO, E. J.
700 1 $aROJAS, E. P.
700 1 $aARAÚJO JÚNIOR, I. V.
700 1 $aCACIQUE, I. S.
700 1 $aASCARI, J. P.
700 1 $aBERGAMIN, L. P. P.
700 1 $aBELUFI, L. M. de R.
700 1 $aZULLI, M. R.
700 1 $aMÜLLER, M. A.
700 1 $aBONALDO, S. M.
700 1 $aGODOY, C. V.
700 1 $aLOPES, I. de O. N.
700 1 $aUTIAMADA, C. M.
700 1 $aMEYER, M. C.
700 1 $aCAMPOS, H. D.
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