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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
24/10/2019 |
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Data da última atualização: |
25/10/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
KOBERL, M.; RODRIGUEZ, M. A. D.; NIMUSIIMA, J.; TUMUHAIRWE, J. B.; KUBIRIBA, J.; STAVER, C.; BERG, G. |
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Afiliação: |
M. KO?BERL, Institute of Environmental Biotechnology; MIGUEL ANGEL DITA RODRIGUEZ, CNPMF; J. NIMUSIIMA, National Agricultural Research Laboratories; J. B. TUMUHAIRWE, College of Agricultural and Environmental Sciences; J. KUBIRIBA, National Agricultural Research Organisation; C. STAVER, Bioversity International; G. BERG, Institute of Environmental. |
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Título: |
The banana microbiome: stability and potential health indicators. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Acta Horticulturae, n. 1196, 2018. |
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Idioma: |
Inglês |
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Thesagro: |
Banana. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00530naa a2200193 a 4500
001 2113478
005 2019-10-25
008 2018 bl uuuu u00u1 u #d
100 1 $aKOBERL, M.
245 $aThe banana microbiome$bstability and potential health indicators.$h[electronic resource]
260 $c2018
650 $aBanana
700 1 $aRODRIGUEZ, M. A. D.
700 1 $aNIMUSIIMA, J.
700 1 $aTUMUHAIRWE, J. B.
700 1 $aKUBIRIBA, J.
700 1 $aSTAVER, C.
700 1 $aBERG, G.
773 $tActa Horticulturae$gn. 1196, 2018.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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Biblioteca |
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Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
17/04/2023 |
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Data da última atualização: |
17/04/2023 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
MORAIS, L. F. de; CAVALCANTE, A. C. R.; AQUINO, D. do N.; CANDIDO, M. J. D. |
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Afiliação: |
LEONARDO FIUSA DE MORAIS, Universidade Federal do Ceará; ANA CLARA RODRIGUES CAVALCANTE, CNPC; DEODATO DO NASCIMENTO AQUINO, INCRA; MAGNO JOSÉ DUARTE CANDIDO, Universidade Federal do Ceará. |
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Título: |
Remote sensing applied to grassland ecosystems in regions with climatic vulnerability. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: OPEN science research VII. Guarujá: Científica Digital, 2022. Cap. 10, p. 150-164. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The aim of this review is to present the concepts and current research on the use of remote sensing in studies of pastoral ecosystems. The management of pasture plays an important role in the balance between biomass production and its regrowth so that the determination of biomass production is fundamental information to perform the adjustment of the number of animals. There are direct and indirect methods to obtain forage biomass in pastures. Generally the most used are direct methods, where there is the cutting of all forage present in a known area frame, and this requires the help of a variety of tools, requiring infrastructure, labor with long-term fieldwork. Remote sensing is an indirect way to determine biomass in pastures, which has a significant potential to monitor vegetation dynamics, besides predicting events such as the beginning or peak of vegetation growth. One of the ways to monitor the vegetation is through the use of vegetation indexes. There are several vegetation indexes, but soil adjusted vegetation index (SAVI) and normalized difference vegetation index (NDVI) are the most used in studies on pastoral ecosystems. Remote sensing used for pasture evaluation can contribute with relevant and complementary information on forage production, as well as the growth behavior of the forage plant, allowing to obtain information on large scales. |
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Palavras-Chave: |
Agricultural disasters; Biophysical modeling; Desastre ambiental; Environmental disasters; Environmental modelling; Fluorescência; Índice espectral; Livestock analysis; Pastoral; Pastoral ecosystem; Spectral vegetation indices. |
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Thesagro: |
Sensoriamento Remoto. |
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Thesaurus NAL: |
Biomass; Brazil; Ecosystems; Forage; Grasslands; Pastures; Remote sensing; Semiarid soils; Silvopastoral systems. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1153197/1/CNPC-2023-Remote-sensing.pdf
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Marc: |
LEADER 02592naa a2200409 a 4500
001 2153197
005 2023-04-17
008 2022 bl uuuu u00u1 u #d
100 1 $aMORAIS, L. F. de
245 $aRemote sensing applied to grassland ecosystems in regions with climatic vulnerability.$h[electronic resource]
260 $c2022
520 $aAbstract: The aim of this review is to present the concepts and current research on the use of remote sensing in studies of pastoral ecosystems. The management of pasture plays an important role in the balance between biomass production and its regrowth so that the determination of biomass production is fundamental information to perform the adjustment of the number of animals. There are direct and indirect methods to obtain forage biomass in pastures. Generally the most used are direct methods, where there is the cutting of all forage present in a known area frame, and this requires the help of a variety of tools, requiring infrastructure, labor with long-term fieldwork. Remote sensing is an indirect way to determine biomass in pastures, which has a significant potential to monitor vegetation dynamics, besides predicting events such as the beginning or peak of vegetation growth. One of the ways to monitor the vegetation is through the use of vegetation indexes. There are several vegetation indexes, but soil adjusted vegetation index (SAVI) and normalized difference vegetation index (NDVI) are the most used in studies on pastoral ecosystems. Remote sensing used for pasture evaluation can contribute with relevant and complementary information on forage production, as well as the growth behavior of the forage plant, allowing to obtain information on large scales.
650 $aBiomass
650 $aBrazil
650 $aEcosystems
650 $aForage
650 $aGrasslands
650 $aPastures
650 $aRemote sensing
650 $aSemiarid soils
650 $aSilvopastoral systems
650 $aSensoriamento Remoto
653 $aAgricultural disasters
653 $aBiophysical modeling
653 $aDesastre ambiental
653 $aEnvironmental disasters
653 $aEnvironmental modelling
653 $aFluorescência
653 $aÍndice espectral
653 $aLivestock analysis
653 $aPastoral
653 $aPastoral ecosystem
653 $aSpectral vegetation indices
700 1 $aCAVALCANTE, A. C. R.
700 1 $aAQUINO, D. do N.
700 1 $aCANDIDO, M. J. D.
773 $tIn: OPEN science research VII. Guarujá: Científica Digital, 2022. Cap. 10, p. 150-164.
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Embrapa Caprinos e Ovinos (CNPC) |
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