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 | Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
23/10/2014 |
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Data da última atualização: |
13/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SPRÍCIGO, J. F. W.; MORAIS, K.; FERREIRA, A. R.; MACHADO, G. M.; GOMES, A. C. M.; RUMPF, R.; FRANCO, M. M.; DODE, M. A. N. |
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Afiliação: |
ANA CRISTINA MENESES M GOMES, CENARGEN; RODOLFO RUMPF, CENARGEN; MAURICIO MACHAIM FRANCO, CENARGEN; MARGOT ALVES NUNES DODE, CENARGEN. |
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Título: |
Vitrification of bovine oocytes at different meiotic stages using the Cryotop method: assessment of morphological, molecularand functional patterns. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Cryobiology, v. 69, p. 256-265, 2014. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Bovine. |
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Thesaurus Nal: |
gene expression; ultrastructure; vitrification. |
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Categoria do assunto: |
-- |
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Marc: |
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001 1998110
005 2023-03-13
008 2014 bl uuuu u00u1 u #d
100 1 $aSPRÍCIGO, J. F. W.
245 $aVitrification of bovine oocytes at different meiotic stages using the Cryotop method$bassessment of morphological, molecularand functional patterns.$h[electronic resource]
260 $c2014
650 $agene expression
650 $aultrastructure
650 $avitrification
653 $aBovine
700 1 $aMORAIS, K.
700 1 $aFERREIRA, A. R.
700 1 $aMACHADO, G. M.
700 1 $aGOMES, A. C. M.
700 1 $aRUMPF, R.
700 1 $aFRANCO, M. M.
700 1 $aDODE, M. A. N.
773 $tCryobiology$gv. 69, p. 256-265, 2014.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
19/10/2016 |
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Data da última atualização: |
19/10/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
DEMATTÊ, J. A. M.; TERRA, F. da S.; OTTO, R.; TOMA, R. S.; PEREIRA, L. H.; NASCIMENTO, A. F. do; BORTOLETTO, M. A. M. |
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Afiliação: |
José A. M. Demattê, USP-ESALQ; Fabrício da Silva Terra, UFVJM; Rafael Otto, USP-ESALQ; Raul Shiso Toma, UFC; Luiz Henrique Pereira, UNESP-IGCE; ALEXANDRE FERREIRA DO NASCIMENTO, CPAMT; Marco Antonio Melo Bortoletto, GRUPO CLEALCO. |
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Título: |
Assessment of sugarcane harvesting residue effects on soil spectral behavior |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Scientia Agricola, Piracicaba, v. 73, n. 2, p. 159-168, mar./abr., 2016 |
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ISSN: |
0103-9016 |
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DOI: |
http://dx.doi.org/10.1590/0103-9016-2014-0370 |
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Idioma: |
Português |
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Conteúdo: |
When the harvesting of sugarcane involves a mechanized process, plant residues remain on the soil surface, which makes proximal and remote sensing difficult to monitor. This study aimed to evaluate, under laboratory conditions, differences in the soil spectral behavior of surface layers Quartzipsamment and Hapludox soil classes due to increasing levels of sugarcane?s dry (DL) and green (GL) leaf cover on the soil. Soil cover was quantified by supervised classification of the digital images (photography) taken of the treatments. The spectral reflectance of the samples was obtained using the FieldSpec Pro (350 to 2500 nm). TM-Landsat bands were simulated and the Normalized Difference Vegetation Index (NDVI) and soil line were also determined. Soil cover ranged from 0 to 89 % for DL and 0 to 80 % for GL. Dry leaf covering affected the features of the following soil constituents: iron oxides (480, 530 and 900 nm) and kaolinite (2200 nm). Water absorption (1400 and 1900 nm) and chlorophyll (670 nm) were determinant in differentiating between bare soil and GL covering. Bands 3 and 4 and NDVI showed pronounced variations as regards differences in soil cover percentage for both DL and GL. The soil line allowed for discrimination of the bare soil from the covered soil (DL and GL). High resolution sensors from about 50 % of the DL or GL covering are expected to reveal differences in soil spectral behavior. Above this coverage percentage, soil assessment by remote sensing is impaired. |
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Palavras-Chave: |
NDVI; Soil line; Soil proximal sensing; Soil remote sensing; TM-Landsat. |
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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/148949/1/2016-cpamt-nascimento-surgane-residue-effects-soil.pdf
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Marc: |
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022 $a0103-9016
024 7 $ahttp://dx.doi.org/10.1590/0103-9016-2014-0370$2DOI
100 1 $aDEMATTÊ, J. A. M.
245 $aAssessment of sugarcane harvesting residue effects on soil spectral behavior$h[electronic resource]
260 $c2016
520 $aWhen the harvesting of sugarcane involves a mechanized process, plant residues remain on the soil surface, which makes proximal and remote sensing difficult to monitor. This study aimed to evaluate, under laboratory conditions, differences in the soil spectral behavior of surface layers Quartzipsamment and Hapludox soil classes due to increasing levels of sugarcane?s dry (DL) and green (GL) leaf cover on the soil. Soil cover was quantified by supervised classification of the digital images (photography) taken of the treatments. The spectral reflectance of the samples was obtained using the FieldSpec Pro (350 to 2500 nm). TM-Landsat bands were simulated and the Normalized Difference Vegetation Index (NDVI) and soil line were also determined. Soil cover ranged from 0 to 89 % for DL and 0 to 80 % for GL. Dry leaf covering affected the features of the following soil constituents: iron oxides (480, 530 and 900 nm) and kaolinite (2200 nm). Water absorption (1400 and 1900 nm) and chlorophyll (670 nm) were determinant in differentiating between bare soil and GL covering. Bands 3 and 4 and NDVI showed pronounced variations as regards differences in soil cover percentage for both DL and GL. The soil line allowed for discrimination of the bare soil from the covered soil (DL and GL). High resolution sensors from about 50 % of the DL or GL covering are expected to reveal differences in soil spectral behavior. Above this coverage percentage, soil assessment by remote sensing is impaired.
653 $aNDVI
653 $aSoil line
653 $aSoil proximal sensing
653 $aSoil remote sensing
653 $aTM-Landsat
700 1 $aTERRA, F. da S.
700 1 $aOTTO, R.
700 1 $aTOMA, R. S.
700 1 $aPEREIRA, L. H.
700 1 $aNASCIMENTO, A. F. do
700 1 $aBORTOLETTO, M. A. M.
773 $tScientia Agricola, Piracicaba$gv. 73, n. 2, p. 159-168, mar./abr., 2016
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