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Registro Completo |
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Biblioteca(s): |
Embrapa Agrossilvipastoril; Embrapa Gado de Leite. |
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Data corrente: |
04/10/2021 |
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Data da última atualização: |
03/12/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
NASCIMENTO, A. F. do; MARINHO, L. A.; SIMÕES, F. G.; BARROS JÚNIOR, J. H.; COLETTI, A. J.; MONTEIRO, R. A. C.; ROSSONI, A. L. |
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Afiliação: |
ALEXANDRE FERREIRA DO NASCIMENTO, CPAMT; LUCAS ALVES MARINHO, Estudante, Universidade Federal do Mato Grosso; FERNANDO GONÇALVES SIMÕES, Estudante, Universidade Federal do Mato Grosso; JEOVÁ HERCULANO BARROS JÚNIOR, Estudante, Universidade Federal do Mato Grosso; ADMAR JÚNIOR COLETTI, Universidade Federal do Mato Grosso; ROBERTA APARECIDA C MONTEIRO, CNPGL; ANDRE LUIS ROSSONI, CPAMT. |
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Título: |
Herbage mass and nutritive value of the Ipyporã grass during its establishment in silvopastoral systems in Southern Amazon. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS: 100% DIGITAL, 2., 2021. WCCLF 2021 proceedings. Campo Grande, MS: Embrapa Gado de Corte, 2021. p.176-180. |
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Idioma: |
Inglês |
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Notas: |
WCCLF 2021. Evento online. |
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Conteúdo: |
The tolerance to the shade is the first characteristic to be observed in the choice of forage to form an integrated system with trees. This work aimed to evaluate the production and quality of forage in the establishment of Ipyporã grass in silvopastoral systems in southern Amazon. The experiment was carried out at Embrapa Agrossilvipastoril - MT - Brazil. Five treatments were evaluated: without trees; double rows eucalyptus in a density of 260 trees ha-1; triple rows of 340 trees ha-1; double rows in a density of 130 trees ha-1; simple rows with a density of 120 trees ha-1. In the Ipyporã grass formed under the treatments was evaluated the herbage, leaf, stem, and dead material mass, leaf protein, crude protein, NDF, ADF, canopy height, and volumetric density. The integrated system with the highest density of trees decreased the herbage and leaf mass, and increased the content of protein in the leaves. Crude protein, ADF, height, and leaf volumetric density were somewhat affected by the shade in the integrated systems and not only the tree density seemed to influence on them, but also the tree arrangement. Thus, tree density and arrangements should be carefully planned to better establishment of pasture in integrated systems. |
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Palavras-Chave: |
ICLF; Shading. |
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Thesagro: |
Forragem; Grama; Proteína Bruta; Sistema de Cultivo; Sombreamento. |
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Thesaurus Nal: |
Crude protein. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228426/1/2021-cpamt-afn-herbage-mass-nutritive-ipypora-grass-during-establishment-silvopastoral-systems-southern-amazon-p176-180.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/226638/1/Herbage-mass.pdf
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Marc: |
LEADER 02240nam a2200289 a 4500
001 2137025
005 2021-12-03
008 2021 bl uuuu u00u1 u #d
100 1 $aNASCIMENTO, A. F. do
245 $aHerbage mass and nutritive value of the Ipyporã grass during its establishment in silvopastoral systems in Southern Amazon.$h[electronic resource]
260 $aIn: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS: 100% DIGITAL, 2., 2021. WCCLF 2021 proceedings. Campo Grande, MS: Embrapa Gado de Corte, 2021. p.176-180.$c2021
500 $aWCCLF 2021. Evento online.
520 $aThe tolerance to the shade is the first characteristic to be observed in the choice of forage to form an integrated system with trees. This work aimed to evaluate the production and quality of forage in the establishment of Ipyporã grass in silvopastoral systems in southern Amazon. The experiment was carried out at Embrapa Agrossilvipastoril - MT - Brazil. Five treatments were evaluated: without trees; double rows eucalyptus in a density of 260 trees ha-1; triple rows of 340 trees ha-1; double rows in a density of 130 trees ha-1; simple rows with a density of 120 trees ha-1. In the Ipyporã grass formed under the treatments was evaluated the herbage, leaf, stem, and dead material mass, leaf protein, crude protein, NDF, ADF, canopy height, and volumetric density. The integrated system with the highest density of trees decreased the herbage and leaf mass, and increased the content of protein in the leaves. Crude protein, ADF, height, and leaf volumetric density were somewhat affected by the shade in the integrated systems and not only the tree density seemed to influence on them, but also the tree arrangement. Thus, tree density and arrangements should be carefully planned to better establishment of pasture in integrated systems.
650 $aCrude protein
650 $aForragem
650 $aGrama
650 $aProteína Bruta
650 $aSistema de Cultivo
650 $aSombreamento
653 $aICLF
653 $aShading
700 1 $aMARINHO, L. A.
700 1 $aSIMÕES, F. G.
700 1 $aBARROS JÚNIOR, J. H.
700 1 $aCOLETTI, A. J.
700 1 $aMONTEIRO, R. A. C.
700 1 $aROSSONI, A. L.
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Registro original: |
Embrapa Agrossilvipastoril (CPAMT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
25/08/2015 |
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Data da última atualização: |
25/03/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
LU, D.; MAUSEL, P.; BATISTELLA, M.; MORAN, E. |
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Afiliação: |
DENGSHENG LU, INDIANA UNIVERSITY; PAUL MAUSEL, INDIANA STATE UNIVERSITY; MATEUS BATISTELLA, CNPM; EMILIO MORAN, INDIANA UNIVERSITY. |
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Título: |
Comparison of land-cover classification methods in the Brazilian Amazon Basin. |
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Ano de publicação: |
2003 |
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Fonte/Imprenta: |
In: ASPRS 2003 ANNUAL CONFERENCE, Anchorage, Alaska/EUA. Proceedings... Bethesda: ASPRS, 2003. 11 p. |
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Páginas: |
11 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Numerous classifiers have been developed and different classifiers have their own characteristics. Controversial results often occurred depending on the landscape complexity of the study area and the data used. Therefore, this paper aims to find a suitable classifier for the tropical land cover classification. Five classifiers ? minimum distance classifier (MDC), maximum likelihood classifier (MLC), fisher linear discriminant (FLD), extraction and classification of homogeneous objects (ECHO), and linear spectral mixture analysis (LSMA) ? were tested using Landsat Thematic Mapper (TM) data in the Amazon basin using the same training sample data sets. Seven land cover classes ? mature forest, advanced succession forest, initial secondary succession forest, pasture, agricultural lands, bare lands, and water ? were classified. Overall classification accuracy and kappa analysis were calculated. The results indicate that LSMA and ECHO classifiers provided better classification accuracies than the MDC, MLC, and FLD in the moist tropical region. The overall accuracy of LSMA approach reaches 86% associated with 0.82 kappa coefficient |
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Palavras-Chave: |
Extraction and classification of homogeneous; Fisher linear discriminant; Minimum distance classifier. |
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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/194970/1/4553.pdf
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Marc: |
LEADER 01799nam a2200193 a 4500
001 2022621
005 2019-03-25
008 2003 bl uuuu u00u1 u #d
100 1 $aLU, D.
245 $aComparison of land-cover classification methods in the Brazilian Amazon Basin.$h[electronic resource]
260 $aIn: ASPRS 2003 ANNUAL CONFERENCE, Anchorage, Alaska/EUA. Proceedings... Bethesda: ASPRS, 2003. 11 p.$c2003
300 $a11 p.
520 $aNumerous classifiers have been developed and different classifiers have their own characteristics. Controversial results often occurred depending on the landscape complexity of the study area and the data used. Therefore, this paper aims to find a suitable classifier for the tropical land cover classification. Five classifiers ? minimum distance classifier (MDC), maximum likelihood classifier (MLC), fisher linear discriminant (FLD), extraction and classification of homogeneous objects (ECHO), and linear spectral mixture analysis (LSMA) ? were tested using Landsat Thematic Mapper (TM) data in the Amazon basin using the same training sample data sets. Seven land cover classes ? mature forest, advanced succession forest, initial secondary succession forest, pasture, agricultural lands, bare lands, and water ? were classified. Overall classification accuracy and kappa analysis were calculated. The results indicate that LSMA and ECHO classifiers provided better classification accuracies than the MDC, MLC, and FLD in the moist tropical region. The overall accuracy of LSMA approach reaches 86% associated with 0.82 kappa coefficient
653 $aExtraction and classification of homogeneous
653 $aFisher linear discriminant
653 $aMinimum distance classifier
700 1 $aMAUSEL, P.
700 1 $aBATISTELLA, M.
700 1 $aMORAN, E.
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Registro original: |
Embrapa Territorial (CNPM) |
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