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Registro Completo |
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Biblioteca(s): |
Embrapa Solos / UEP-Recife; 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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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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Registro |
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Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
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Data corrente: |
24/02/2016 |
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Data da última atualização: |
25/02/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SOARES, M.; FRACALOSSI, D. M.; FREITAS, L. E. L. de; RODRIGUES, M. S.; REDIG, J. C.; MOURIÑO, J. L. P.; SEIFFERT, W. Q.; VIEIRA, F. do N. |
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Afiliação: |
MARIANA SOARES, UFSC; DEBORA MACHADO FRACALOSSI, UFSC; LUIZ EDUARDO LIMA DE FREITAS, CNPASA; MARYSOL SASNTOS RODRIGUES, UFSC; JOSELLE CURSINO REDIG, UFSC; JOSE LUIZ PEDREIRA MOURINO, UFSC; WALTER QUADROS SEIFFERT, UFSC; FELIPE DO NASCIMENTO VIEIRA, UFSC. |
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Título: |
Replacement of fish meal by protein soybean concentrate in practical diets for Pacific white shrimp. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Revista Brasileira de Zootecnia, Viçosa, MG, v. 44, n. 10, p. 343-349, out. 2015. |
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ISSN: |
1806-9290 |
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DOI: |
10.1590/S1806-92902015001000001 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this work was to evaluate the performance of Litopenaeus vannamei fed different levels (0, 25, 50, 75, and 100%) of soybean protein concentrate (63.07% crude protein, CP) to replace fish meal-by product (61.24% CP). The study was conducted in clear water in fifteen 800 L tanks equipped with aeration systems, constant heating (29 ºC), and daily water exchange (30%). Each tank was stocked with 37.5 shrimp/m3 (3.03±0.14 g). Feed was supplied four times a day, at 6% of the initial biomass, adjusted daily. After 42 days, the weight gain of shrimp fed diets with 0 and 25% protein replacement was higher than that observed in shrimp fed 100% replacement, and there were no differences among those fed the other diets. Feed efficiency and survival did not differ among shrimp fed different protein replacements. There was a negative linear trend for growth parameters and feed intake as protein replacement with soybean protein concentrate increased. Fish meal by-product can be replaced by up to 75% of soybean protein concentrate, with no harm to the growth of Pacific white shrimp. |
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Thesagro: |
Camarão; Nutrição; Proteína; Soja. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/140022/1/CNPASA-2015-soares.pdf
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Marc: |
LEADER 01939naa a2200277 a 4500
001 2038480
005 2016-02-25
008 2015 bl uuuu u00u1 u #d
022 $a1806-9290
024 7 $a10.1590/S1806-92902015001000001$2DOI
100 1 $aSOARES, M.
245 $aReplacement of fish meal by protein soybean concentrate in practical diets for Pacific white shrimp.$h[electronic resource]
260 $c2015
520 $aThe objective of this work was to evaluate the performance of Litopenaeus vannamei fed different levels (0, 25, 50, 75, and 100%) of soybean protein concentrate (63.07% crude protein, CP) to replace fish meal-by product (61.24% CP). The study was conducted in clear water in fifteen 800 L tanks equipped with aeration systems, constant heating (29 ºC), and daily water exchange (30%). Each tank was stocked with 37.5 shrimp/m3 (3.03±0.14 g). Feed was supplied four times a day, at 6% of the initial biomass, adjusted daily. After 42 days, the weight gain of shrimp fed diets with 0 and 25% protein replacement was higher than that observed in shrimp fed 100% replacement, and there were no differences among those fed the other diets. Feed efficiency and survival did not differ among shrimp fed different protein replacements. There was a negative linear trend for growth parameters and feed intake as protein replacement with soybean protein concentrate increased. Fish meal by-product can be replaced by up to 75% of soybean protein concentrate, with no harm to the growth of Pacific white shrimp.
650 $aCamarão
650 $aNutrição
650 $aProteína
650 $aSoja
700 1 $aFRACALOSSI, D. M.
700 1 $aFREITAS, L. E. L. de
700 1 $aRODRIGUES, M. S.
700 1 $aREDIG, J. C.
700 1 $aMOURIÑO, J. L. P.
700 1 $aSEIFFERT, W. Q.
700 1 $aVIEIRA, F. do N.
773 $tRevista Brasileira de Zootecnia, Viçosa, MG$gv. 44, n. 10, p. 343-349, out. 2015.
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Registro original: |
Embrapa Pesca e Aquicultura (CNPASA) |
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