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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
01/04/2019 |
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Data da última atualização: |
01/04/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SOARES, I. C.; PACHECO, R. S.; ARAUJO, J. L. S. de. |
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Afiliação: |
JEAN LUIZ SIMOES DE ARAUJO, CNPAB. |
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Título: |
Proposta de Metodologia para a detecção de bactérias promotoras de crescimento em tecidos de Brachiaria sp. utilizando ensaios de PCR quantitativa estirpe-. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In. SEMANA CIENTÍFICA JOHANNA DÖBEREINER 18., 2018, Seropédica. Ciência para redução das desigualdades: caderno de resumos. Seropédica: Embrapa Agrobiologia, 2018. |
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Idioma: |
Português |
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Palavras-Chave: |
Bactéria promotora de crescimento. |
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Categoria do assunto: |
S Ciências Biológicas |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/195276/1/Proposta-de-Metodologia-para-a-deteccao-.pdf
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Marc: |
LEADER 00655nam a2200133 a 4500
001 2107845
005 2019-04-01
008 2018 bl uuuu u00u1 u #d
100 1 $aSOARES, I. C.
245 $aProposta de Metodologia para a detecção de bactérias promotoras de crescimento em tecidos de Brachiaria sp. utilizando ensaios de PCR quantitativa estirpe-.$h[electronic resource]
260 $aIn. SEMANA CIENTÍFICA JOHANNA DÖBEREINER 18., 2018, Seropédica. Ciência para redução das desigualdades: caderno de resumos. Seropédica: Embrapa Agrobiologia$c2018
653 $aBactéria promotora de crescimento
700 1 $aPACHECO, R. S.
700 1 $aARAUJO, J. L. S. de
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Registro original: |
Embrapa Agrobiologia (CNPAB) |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
13/06/2014 |
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Data da última atualização: |
29/05/2017 |
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Autoria: |
CARVALHO, D. F. de; DURIGON, V. L.; ANTUNES, M. A. H.; ALMEIDA, W. S. de; OLIVEIRA, P. T. S. |
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Título: |
Predicting soil erosion using Rusle and NDVI time series from TM Landsat 5. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 49, n. 3, p. 215-224, mar. 2014. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Predição da erosão do solo com uso da Rusle e séries temporais de NDVI do Landsat 5 TM. |
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Conteúdo: |
The objective of this work was to evaluate the seasonal variation of soil cover and rainfall erosivity, and their influences on the revised universal soil loss equation (Rusle), in order to estimate watershed soil losses in a temporal scale. Twenty‑two TM Landsat 5 images from 1986 to 2009 were used to estimate soil use and management factor (C factor). A corresponding rainfall erosivity factor (R factor) was considered for each image, and the other factors were obtained using the standard Rusle method. Estimated soil losses were grouped into classes and ranged from 0.13 Mg ha‑1 on May 24, 2009 (dry season) to 62.0 Mg ha‑1 on March 11, 2007 (rainy season). In these dates, maximum losses in the watershed were 2.2 and 781.5 Mg ha‑1, respectively. Mean annual soil loss in the watershed was 109.5 Mg ha‑1, but the central area, with a loss of nearly 300.0 Mg ha‑1, was characterized as a site of high water‑erosion risk. The use of C factor obtained from remote sensing data, associated to corresponding R factor, was fundamental to evaluate the soil erosion estimated by the Rusle in different seasons, unlike of other studies which keep these factors constant throughout time |
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Palavras-Chave: |
C factor; Erosividade; Fator C; Índice de vegetação; Perda de solo; Rainfall erosivity; Soil loss. |
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Thesagro: |
Sensoriamento remoto. |
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Thesaurus NAL: |
Remote sensing; vegetation index. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/103653/1/Predicting-soil-erosion-using.pdf
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Marc: |
LEADER 02189naa a2200301 a 4500
001 1988368
005 2017-05-29
008 2014 bl uuuu u00u1 u #d
100 1 $aCARVALHO, D. F. de
245 $aPredicting soil erosion using Rusle and NDVI time series from TM Landsat 5.
260 $c2014
500 $aTítulo em português: Predição da erosão do solo com uso da Rusle e séries temporais de NDVI do Landsat 5 TM.
520 $aThe objective of this work was to evaluate the seasonal variation of soil cover and rainfall erosivity, and their influences on the revised universal soil loss equation (Rusle), in order to estimate watershed soil losses in a temporal scale. Twenty‑two TM Landsat 5 images from 1986 to 2009 were used to estimate soil use and management factor (C factor). A corresponding rainfall erosivity factor (R factor) was considered for each image, and the other factors were obtained using the standard Rusle method. Estimated soil losses were grouped into classes and ranged from 0.13 Mg ha‑1 on May 24, 2009 (dry season) to 62.0 Mg ha‑1 on March 11, 2007 (rainy season). In these dates, maximum losses in the watershed were 2.2 and 781.5 Mg ha‑1, respectively. Mean annual soil loss in the watershed was 109.5 Mg ha‑1, but the central area, with a loss of nearly 300.0 Mg ha‑1, was characterized as a site of high water‑erosion risk. The use of C factor obtained from remote sensing data, associated to corresponding R factor, was fundamental to evaluate the soil erosion estimated by the Rusle in different seasons, unlike of other studies which keep these factors constant throughout time
650 $aRemote sensing
650 $avegetation index
650 $aSensoriamento remoto
653 $aC factor
653 $aErosividade
653 $aFator C
653 $aÍndice de vegetação
653 $aPerda de solo
653 $aRainfall erosivity
653 $aSoil loss
700 1 $aDURIGON, V. L.
700 1 $aANTUNES, M. A. H.
700 1 $aALMEIDA, W. S. de
700 1 $aOLIVEIRA, P. T. S.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 49, n. 3, p. 215-224, mar. 2014.
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Embrapa Unidades Centrais (AI-SEDE) |
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