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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
21/05/2021 |
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Data da última atualização: |
21/05/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ABAURRE, G. W; ALONSO, J. M.; SAGGIN JUNIOR, O. J.; FARIA, S. M. de. |
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Afiliação: |
GUSTAVO WYSE ABAURRE, UFRRJ; JORGE MAKHLOUTA ALONSO, UFRRJ; ORIVALDO JOSE SAGGIN JUNIOR, CNPAB; SERGIO MIANA DE FARIA, CNPAB. |
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Título: |
Sewage sludge compared with other substrates in the inoculation, growth, and tolerance to water stress of Samanea saman. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Water, v. 13, 1306, 2021. |
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ISSN: |
2073-4441 |
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DOI: |
https://doi.org/10.3390/w13091306 |
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Idioma: |
Inglês |
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Conteúdo: |
This study evaluated the initial growth and tolerance to water stress after planting Samanea saman seedlings produced with different substrates and inoculation patterns. The experiment used a factorial design (3 × 3), with three substrates: standard (67% subsoil + 33% cattle manure), a commercial substrate (composed mainly of peat), and treated sewage sludge; and three inoculation patterns: control (no inoculation), fertilized (no inoculation + chemical fertilization), and inoculation with nitrogen-fixing bacteria and arbuscular mycorrhizal fungi. The seedlings were planted in plastic pots inside a greenhouse. They received irrigation after planting and were submitted to water deficit for 35 days, followed by rehydration for 31 days. The inoculation promoted higher height and biomass for seedlings produced in the standard substrate. In the sludge, the roots biomass decreased when fertilized or inoculated. Seedlings grown in sludge showed higher height and biomass before planting and at the end of the experiment. Although, after rehydration, the height increment was similar for the sludge and the standard substrate. Seedlings grown with the commercial substrate are not recommended for planting sites subjected to water deficit. The standard substrate with inoculation and the sludge without inoculation or fertilization produced seedlings that showed better recovery and growth after water deficit. |
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Palavras-Chave: |
Degraded lands restoration; Leaf water; Potential biosolids. |
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Thesaurus Nal: |
Mycorrhizae. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02123naa a2200229 a 4500
001 2131949
005 2021-05-21
008 2021 bl uuuu u00u1 u #d
022 $a2073-4441
024 7 $ahttps://doi.org/10.3390/w13091306$2DOI
100 1 $aABAURRE, G. W
245 $aSewage sludge compared with other substrates in the inoculation, growth, and tolerance to water stress of Samanea saman.$h[electronic resource]
260 $c2021
520 $aThis study evaluated the initial growth and tolerance to water stress after planting Samanea saman seedlings produced with different substrates and inoculation patterns. The experiment used a factorial design (3 × 3), with three substrates: standard (67% subsoil + 33% cattle manure), a commercial substrate (composed mainly of peat), and treated sewage sludge; and three inoculation patterns: control (no inoculation), fertilized (no inoculation + chemical fertilization), and inoculation with nitrogen-fixing bacteria and arbuscular mycorrhizal fungi. The seedlings were planted in plastic pots inside a greenhouse. They received irrigation after planting and were submitted to water deficit for 35 days, followed by rehydration for 31 days. The inoculation promoted higher height and biomass for seedlings produced in the standard substrate. In the sludge, the roots biomass decreased when fertilized or inoculated. Seedlings grown in sludge showed higher height and biomass before planting and at the end of the experiment. Although, after rehydration, the height increment was similar for the sludge and the standard substrate. Seedlings grown with the commercial substrate are not recommended for planting sites subjected to water deficit. The standard substrate with inoculation and the sludge without inoculation or fertilization produced seedlings that showed better recovery and growth after water deficit.
650 $aMycorrhizae
653 $aDegraded lands restoration
653 $aLeaf water
653 $aPotential biosolids
700 1 $aALONSO, J. M.
700 1 $aSAGGIN JUNIOR, O. J.
700 1 $aFARIA, S. M. de
773 $tWater$gv. 13, 1306, 2021.
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Registro original: |
Embrapa Agrobiologia (CNPAB) |
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Biblioteca |
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Origem |
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Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
29/06/2020 |
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Data da última atualização: |
03/07/2020 |
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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: |
MACIEL, D. A.; SILVA, V. A.; ALVES, H. M. R.; VOLPATO, M. M. L.; BARBOSA, J. P. R. A. de; SOUZA, V. C. O.; SANTOS, M. O.; SILVEIRA, H. R. DE O.; DANTAS, M. F.; FREITAS, A. F. de; SANTOS, J. O. DOS. |
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Afiliação: |
DANIEL ANDRADE MACIEL, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; VÂNIA APARECIDA SILVA, EPAMIG; HELENA MARIA RAMOS ALVES, CNPCa; MARGARETE MARIN LORDELO VOLPATO, EPAMIG; JOÃO PAULO RODRIGUES ALVES DE BARBOSA, UNIVERSIDADE FEDERAL DE LAVRAS; VANESSA CRISTINA OLIVEIRA SOUZA, UNIVERSIDADE FEDERAL DE ITAJUBÁ; MELINE OLIVEIRA SANTOS, EPAMIG; HELBERT REZENDE DE OLIVEIRA SILVEIRA, EPAMIG; MAYARA FONTES DANTAS, EPAMIG; ANA FLÁVIA DE FREITAS, EPAMIG; JACQUELINE OLIVEIRA DOS SANTOS, EPAMIG. |
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Título: |
Leaf water potential of coffee estimated by landsat-8 images. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Plos One, v. 15, n. 3, e031019, Mar. 2020. |
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DOI: |
https://doi.org/10.1371/journal.pone.0230013 |
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Idioma: |
Português |
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Conteúdo: |
Traditionally, water conditions of coffee areas are monitored by measuring the leaf water potential throughout a pressure pump. However, there is a demand for the development of technologies that can estimate large areas or regions. In this context, the objective of this study was to estimate the WW by surface reflectance values and vegetation indices obtained from the Landsat-8/OLI sensor in Minas Gerais-Brazil Several algorithms using OLI bands and vegetation indexes were evaluated and from the correlation analysis, a quadratic algorithm that uses the Normalized Difference Vegetation Index (NDVI) performed better, with a correlation coefficient (R2) of 0.82. Leave-One-Out Cross-Validation (LOOCV) was performed to validate the models and the best results were for NDVI quadratic algorithm, presenting a Mean Absolute Percentage Error (MAPE) of 27.09% and an R2 of 0.85. Subsequently, the NDVI quadratic algorithm was applied to Landsat-8 images, aiming to spatialize the WW estimated in a representative area of regional coffee planting between September 2014 to July 2015. From the proposed algorithm, it was possible to estimate WW from Landsat-8/OLI imagery, contributing to drought monitoring in the coffee area leading to cost reduction to the producers. |
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Thesagro: |
Área Foliar; Café; Potencial Hídrico; Produção Agrícola. |
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Thesaurus NAL: |
Coffee beans; Leaf water potential; Plantations; Remote sensing. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/214268/1/Leaf-water-petential.pdf
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Marc: |
LEADER 02267naa a2200349 a 4500
001 2123511
005 2020-07-03
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1371/journal.pone.0230013$2DOI
100 1 $aMACIEL, D. A.
245 $aLeaf water potential of coffee estimated by landsat-8 images.$h[electronic resource]
260 $c2020
520 $aTraditionally, water conditions of coffee areas are monitored by measuring the leaf water potential throughout a pressure pump. However, there is a demand for the development of technologies that can estimate large areas or regions. In this context, the objective of this study was to estimate the WW by surface reflectance values and vegetation indices obtained from the Landsat-8/OLI sensor in Minas Gerais-Brazil Several algorithms using OLI bands and vegetation indexes were evaluated and from the correlation analysis, a quadratic algorithm that uses the Normalized Difference Vegetation Index (NDVI) performed better, with a correlation coefficient (R2) of 0.82. Leave-One-Out Cross-Validation (LOOCV) was performed to validate the models and the best results were for NDVI quadratic algorithm, presenting a Mean Absolute Percentage Error (MAPE) of 27.09% and an R2 of 0.85. Subsequently, the NDVI quadratic algorithm was applied to Landsat-8 images, aiming to spatialize the WW estimated in a representative area of regional coffee planting between September 2014 to July 2015. From the proposed algorithm, it was possible to estimate WW from Landsat-8/OLI imagery, contributing to drought monitoring in the coffee area leading to cost reduction to the producers.
650 $aCoffee beans
650 $aLeaf water potential
650 $aPlantations
650 $aRemote sensing
650 $aÁrea Foliar
650 $aCafé
650 $aPotencial Hídrico
650 $aProdução Agrícola
700 1 $aSILVA, V. A.
700 1 $aALVES, H. M. R.
700 1 $aVOLPATO, M. M. L.
700 1 $aBARBOSA, J. P. R. A. de
700 1 $aSOUZA, V. C. O.
700 1 $aSANTOS, M. O.
700 1 $aSILVEIRA, H. R. DE O.
700 1 $aDANTAS, M. F.
700 1 $aFREITAS, A. F. de
700 1 $aSANTOS, J. O. DOS
773 $tPlos One$gv. 15, n. 3, e031019, Mar. 2020.
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Registro original: |
Embrapa Café (CNPCa) |
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