Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/873914
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dc.contributor.authorANDRADE, R. G.pt_BR
dc.contributor.authorBERNARDI, A. C. de C.pt_BR
dc.contributor.authorGREGO, C. R.pt_BR
dc.contributor.authorINAMASU, R. Y.pt_BR
dc.contributor.authorRABELLO, L. M.pt_BR
dc.contributor.authorVAZ, C. M. P.pt_BR
dc.date.accessioned2011-04-09T16:19:38Z-
dc.date.available2011-04-09T16:19:38Z-
dc.date.created2011-01-21pt_BR
dc.date.issued2010pt_BR
dc.identifier.citationIn: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 10., 2010. Denver, CO. Anais... Denver, CO: Colorado State: IPNI: FAR, 2010.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/873914pt_BR
dc.descriptionThe knowledge of spatial variability soil properties is useful in the rational use of inputs, as in the site specific application of lime and fertilizer. The objective of this work was to map and evaluate the spatial variability of the corn and pasture, soil chemical and physical properties in crop-livestock integrated system. The study was conducted in an area of 6.9 ha of a Typic Paleudult in Sao Carlos, SP, Brazil. The summer crop corn was sowed together with the forage crop Brachiaria brizantha in the system of crop-livestock rotation. A regular hexagon sampling grid design with 6 sub-samples was adopted for each hectare. The values of soil P, K, Ca, Mg, and CEC, basis saturation, clay and sand were analyzed by traditional soil testing in georreferenced samples collected at 0?0.2 m depth. Soil electrical conductivity (EC) was measured with a contact sensor. The site was evaluated at the end of the corn season (April) and for the forage (October) by imageries from the Landsat 5 using remote sensing techniques and a geographic information system. Normalized difference vegetation index (NDVI) was used to interpret imageries. Spatial continuity of crop and soil properties was modeled using semivariograms. Maps contours of crop and forage were obtained by kriging, and maps of soil properties by using inverse distance weighting interpolation. Results from this study showed that the NDVI was associated with ECa and soil parameters indicating crop and pasture variations on crop-livestock integrated system. Sampling density adopted was insufficient for an adequate characterization of the spatial variability of soil parameters as pH, O.M., P, K, V%, CEC, clay and sand. Estimated VRT maps compared to estimated uniformly applied lime and P and K fertilizer recommendation indicate that VRT could be more adequate to lime and potash recommendation, and and would have little effect on P fertilization.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectField sensorpt_BR
dc.subjectVERISpt_BR
dc.subjectLandsat 5pt_BR
dc.subjectNDVIpt_BR
dc.titleSpatial variability of crop and soil properties in a crop-livestock integrated system.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2019-04-26T11:11:11Zpt_BR
dc.subject.nalthesauruselectrical conductivitypt_BR
dc.subject.nalthesaurusgeostatisticspt_BR
dc.subject.nalthesaurussoil fertilitypt_BR
dc.subject.nalthesaurussoil texturept_BR
riaa.ainfo.id873914pt_BR
riaa.ainfo.lastupdate2019-04-26 -03:00:00pt_BR
dc.contributor.institutionRICARDO GUIMARAES ANDRADE, CNPM; ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE; CELIA REGINA GREGO, CNPM; RICARDO YASSUSHI INAMASU, CNPDIA; LADISLAU MARCELINO RABELLO, CNPDIA; CARLOS MANOEL PEDRO VAZ, CNPDIA.pt_BR
Aparece nas coleções:Artigo em anais de congresso (CNPM)

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