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Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
19/12/2016 |
Data da última atualização: |
14/12/2022 |
Autoria: |
DANTAS, M.; MULLER, C. H.; ANDRADE, E. B. de. |
Afiliação: |
MARIO DANTAS, CPATU; CARLOS HANS MULLER, CPATU; EMELEOCIPIO BOTELHO DE ANDRADE, CPATU. |
Título: |
Sistemas de produção com plantas perenes em consórcio em Altamira. Sistema de produção com plantas perenes em consórcio em Capitão Poço. |
Ano de publicação: |
1981 |
Fonte/Imprenta: |
[Belém, PA]: EMBRAPA-CPATU, [1981?]. |
Páginas: |
37 p. |
Idioma: |
Português |
Notas: |
Publicação não convencional. |
Conteúdo: |
ATM - Terra roxa estruturada (Alfisel). Mata. Broca, derrubada, queima e encoivaramento. Correção do solo. Plantio. Tratos culturais. Ocorrência de enfermidades e pragas e controle fitossanitário. |
Palavras-Chave: |
Brasil; Consorciação; Cultivos; Pará. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/151966/1/SISTEMA-PRODUCAO-ALTAMIRA.pdf
|
Marc: |
LEADER 00845nam a2200205 a 4500 001 2058854 005 2022-12-14 008 1981 bl uuuu u00u1 u #d 100 1 $aDANTAS, M. 245 $aSistemas de produção com plantas perenes em consórcio em Altamira. Sistema de produção com plantas perenes em consórcio em Capitão Poço.$h[electronic resource] 260 $a[Belém, PA]: EMBRAPA-CPATU, [1981?].$c1981 300 $a37 p. 500 $aPublicação não convencional. 520 $aATM - Terra roxa estruturada (Alfisel). Mata. Broca, derrubada, queima e encoivaramento. Correção do solo. Plantio. Tratos culturais. Ocorrência de enfermidades e pragas e controle fitossanitário. 653 $aBrasil 653 $aConsorciação 653 $aCultivos 653 $aPará 700 1 $aMULLER, C. H. 700 1 $aANDRADE, E. B. de
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Embrapa Amazônia Oriental (CPATU) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Algodão. Para informações adicionais entre em contato com cnpa.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Algodão; Embrapa Instrumentação. |
Data corrente: |
04/07/2022 |
Data da última atualização: |
29/08/2022 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
BRANDAO, Z. N.; GREGO, C. R.; JORGE, L. A. de C.; MANJOLIN, R. C. |
Afiliação: |
ZIANY NEIVA BRANDAO, CNPA; CELIA REGINA GREGO, CNPTIA; LUCIO ANDRE DE CASTRO JORGE, CNPDIA; RODOLFO CORREA MANJOLIN, Unicamp. |
Título: |
Multispectral reflectance and geostatistic methods to estimate leaf nitrogen content and cotton yield. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
In: SILVA-MATOS, R. R. S. da; MORAES, L. F.; SILVA, F. L. de S. (org.). Desenvolvimento da pesquisa científica, tecnologia e inovação na agronomia 3. Ponta Grossa: Atena, 2022. cap. 14, p. 143-154. |
ISBN: |
978-65-258-0377-7 |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT: Satellite images and geostatistics are useful tools to assess the nutritional status of plants, and thus, understanding the variability of cotton yield in farmers´ fields, within the precision agriculture onfarm experiments. The objective of this study was the spatial identification of the NDVI index and spatial distribution of nitrogen contents and cotton yield through different phenological
stages of the crop using geostatistical methods in Goiás state, Brazil. The experiment was carried out in a commercial field with 47.4 ha, in 80x80m georeferenced grid with 74 plots. Yield monitor data and multispectral satellite images at 56 m spatial resolution were collected in a rainfed cotton field in two dates to monitor the plant vigor, as well as leaf samples were collected for laboratory analysis. Satellite images of AWiFS sensor were acquired on two fenological states, during the first flowering and fruiting cotton stages, respectively, corresponding to 70 and 120DAE (days after emergence). Measures of canopy reflectance, plant height and leaf nitrogen
content were determined and cotton yield was obtained by mechanical harvest in August, 2012. Data were analyzed using descriptive statistics, correlation and geostatistical analyses by building and setting semivariograms and ordinary kriging interpolation. Best correlation was found between NDVI and cotton yield at 120DAE. At first flowering at 70DAE, the NDVI and cotton yield showed strong spatial dependence, while for 120DAE there was no dependence, probably due to the enlargement of vegetated coverage. There were similarities in the bottom left of the area with high values of NDVI 70DAE, as well as the highest values of cotton yield due to excellent
plant vigor in the cotton flowering stage. By using geostatistics methods with remote sensing data retrieved by satellite images of medium resolution, it was possible a spatial identification of differences in plant development and also to predict cotton yield MenosABSTRACT: Satellite images and geostatistics are useful tools to assess the nutritional status of plants, and thus, understanding the variability of cotton yield in farmers´ fields, within the precision agriculture onfarm experiments. The objective of this study was the spatial identification of the NDVI index and spatial distribution of nitrogen contents and cotton yield through different phenological
stages of the crop using geostatistical methods in Goiás state, Brazil. The experiment was carried out in a commercial field with 47.4 ha, in 80x80m georeferenced grid with 74 plots. Yield monitor data and multispectral satellite images at 56 m spatial resolution were collected in a rainfed cotton field in two dates to monitor the plant vigor, as well as leaf samples were collected for laboratory analysis. Satellite images of AWiFS sensor were acquired on two fenological states, during the first flowering and fruiting cotton stages, respectively, corresponding to 70 and 120DAE (days after emergence). Measures of canopy reflectance, plant height and leaf nitrogen
content were determined and cotton yield was obtained by mechanical harvest in August, 2012. Data were analyzed using descriptive statistics, correlation and geostatistical analyses by building and setting semivariograms and ordinary kriging interpolation. Best correlation was found between NDVI and cotton yield at 120DAE. At first flowering at 70DAE, the NDVI and cotton yield showed strong spatial dependence, while fo... Mostrar Tudo |
Palavras-Chave: |
Algodoeiro; Análises geoestatísticas; Geostatistical analysis; Índice de vegetação da diferença normalizada; Métodos geoestatísticos; Nitrogênio foliar; Nutrients spatial variability; Reflectancia multiespectral; Variabilidade espacial de nutrientes. |
Thesagro: |
Agricultura de Precisão; Algodão. |
Thesaurus NAL: |
Cotton; Normalized difference vegetation index; Precision agriculture. |
Categoria do assunto: |
-- |
Marc: |
LEADER 03257naa a2200337 a 4500 001 2144425 005 2022-08-29 008 2022 bl uuuu u00u1 u #d 020 $a978-65-258-0377-7 100 1 $aBRANDAO, Z. N. 245 $aMultispectral reflectance and geostatistic methods to estimate leaf nitrogen content and cotton yield.$h[electronic resource] 260 $c2022 520 $aABSTRACT: Satellite images and geostatistics are useful tools to assess the nutritional status of plants, and thus, understanding the variability of cotton yield in farmers´ fields, within the precision agriculture onfarm experiments. The objective of this study was the spatial identification of the NDVI index and spatial distribution of nitrogen contents and cotton yield through different phenological stages of the crop using geostatistical methods in Goiás state, Brazil. The experiment was carried out in a commercial field with 47.4 ha, in 80x80m georeferenced grid with 74 plots. Yield monitor data and multispectral satellite images at 56 m spatial resolution were collected in a rainfed cotton field in two dates to monitor the plant vigor, as well as leaf samples were collected for laboratory analysis. Satellite images of AWiFS sensor were acquired on two fenological states, during the first flowering and fruiting cotton stages, respectively, corresponding to 70 and 120DAE (days after emergence). Measures of canopy reflectance, plant height and leaf nitrogen content were determined and cotton yield was obtained by mechanical harvest in August, 2012. Data were analyzed using descriptive statistics, correlation and geostatistical analyses by building and setting semivariograms and ordinary kriging interpolation. Best correlation was found between NDVI and cotton yield at 120DAE. At first flowering at 70DAE, the NDVI and cotton yield showed strong spatial dependence, while for 120DAE there was no dependence, probably due to the enlargement of vegetated coverage. There were similarities in the bottom left of the area with high values of NDVI 70DAE, as well as the highest values of cotton yield due to excellent plant vigor in the cotton flowering stage. By using geostatistics methods with remote sensing data retrieved by satellite images of medium resolution, it was possible a spatial identification of differences in plant development and also to predict cotton yield 650 $aCotton 650 $aNormalized difference vegetation index 650 $aPrecision agriculture 650 $aAgricultura de Precisão 650 $aAlgodão 653 $aAlgodoeiro 653 $aAnálises geoestatísticas 653 $aGeostatistical analysis 653 $aÍndice de vegetação da diferença normalizada 653 $aMétodos geoestatísticos 653 $aNitrogênio foliar 653 $aNutrients spatial variability 653 $aReflectancia multiespectral 653 $aVariabilidade espacial de nutrientes 700 1 $aGREGO, C. R. 700 1 $aJORGE, L. A. de C. 700 1 $aMANJOLIN, R. C. 773 $tIn: SILVA-MATOS, R. R. S. da; MORAES, L. F.; SILVA, F. L. de S. (org.). Desenvolvimento da pesquisa científica, tecnologia e inovação na agronomia 3. Ponta Grossa: Atena, 2022. cap. 14, p. 143-154.
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