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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
06/02/2015 |
Data da última atualização: |
06/02/2015 |
Autoria: |
SIQUEIRA, J. D. P.; FERREIRA, A. M.; LANGE JÚNIOR, F. L. |
Título: |
Aumento da eficiência na conversão de madeira tropical e utilização de resíduos de fontes sustentáveis : Projeto ITTO PD 61/99 REV. 4(I). |
Ano de publicação: |
2005 |
Fonte/Imprenta: |
Curitiba: Organização Internacional de Madeiras Tropicais; Funpar, 2005. |
Páginas: |
62 p. |
Descrição Física: |
il. color. |
Idioma: |
Português |
Conteúdo: |
Introdução; Metodologia; Abrangência do estudo; Tipo de biomassa; Coleta de dados; Determinação de volume da biomassa; Projeto da planta de energia; estudo de viabilidade e análise de risco; Biomassa; Aspectos gerais; Rio Branco; Itacoatiara; Alto solimões; jari/Orsa; Projeto conceitual; Tecnologia; Logística de suprimento; Comcepção do projeto; Estudo de viabilidade; Investimentos; Custos de produção; Outros custos; Impostos; Entradas de caixa; fluxo de caixa; Indicadores econômicos e financeiros; análise de sensibilidade; Políticas públicas; Resultados dos workshops; Propostas de sugestões de políticas públicas |
Palavras-Chave: |
AC; Biomassa; Conservação; Custo de produção; Desenvolvimento sustentável; Desenvolvimento sustentável florestal; Energia; Madeira; Madeira tropical; Política pública; Rio Branco. |
Categoria do assunto: |
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Marc: |
LEADER 01518nam a2200277 a 4500 001 1005461 005 2015-02-06 008 2005 bl uuuu 00u1 u #d 100 1 $aSIQUEIRA, J. D. P. 245 $aAumento da eficiência na conversão de madeira tropical e utilização de resíduos de fontes sustentáveis$bProjeto ITTO PD 61/99 REV. 4(I). 260 $aCuritiba: Organização Internacional de Madeiras Tropicais; Funpar$c2005 300 $a62 p.$cil. color. 520 $aIntrodução; Metodologia; Abrangência do estudo; Tipo de biomassa; Coleta de dados; Determinação de volume da biomassa; Projeto da planta de energia; estudo de viabilidade e análise de risco; Biomassa; Aspectos gerais; Rio Branco; Itacoatiara; Alto solimões; jari/Orsa; Projeto conceitual; Tecnologia; Logística de suprimento; Comcepção do projeto; Estudo de viabilidade; Investimentos; Custos de produção; Outros custos; Impostos; Entradas de caixa; fluxo de caixa; Indicadores econômicos e financeiros; análise de sensibilidade; Políticas públicas; Resultados dos workshops; Propostas de sugestões de políticas públicas 653 $aAC 653 $aBiomassa 653 $aConservação 653 $aCusto de produção 653 $aDesenvolvimento sustentável 653 $aDesenvolvimento sustentável florestal 653 $aEnergia 653 $aMadeira 653 $aMadeira tropical 653 $aPolítica pública 653 $aRio Branco 700 1 $aFERREIRA, A. M. 700 1 $aLANGE JÚNIOR, F. L.
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
03/09/2019 |
Data da última atualização: |
03/09/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
- - - |
Autoria: |
SCHMILDT, O.; SANTANA, E. N. de.; OLIVEIRA, V. de S.; GOUVEA, R. R.; SOUZA, L. C.; SANTOS, A. N. M. R.; SILVA, S. M.; SANTOS, K. T. H. dos; SANTOS, G. P.; FANTON, C. J.; DOUSSEAU, S.; SCHMILDT, E. R. |
Afiliação: |
Omar Schmildt, UFES; Enilton Nascimento de Santana, Incaper; Vinicius de Souza Oliveira, UFES; Rafael Ruy Gouvea, UFES; Lucas Corrêa Souza, Incaper; Alba Nise Merícia Rocha Santos, Incaper; Sirlane Machado Silva, Incaper; Karina Tiemi Hassuda dos Santos, UFES; Gleyce Pereira Santos, UFES; Cesar José Fanton, Incaper; Sara Dousseau Arantes, Incaper; Edilson Romais Schmildt, UFES. |
Título: |
Estimation of leaf area by linear dimensions in coffea dewevrei. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
International Journal of Plant & Soil Science, v. 28, n. 6, p. 1-8, 2019. |
DOI: |
10.9734/ijpss/2019/v28i630129 |
Idioma: |
Inglês |
Conteúdo: |
The objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=-10.255+1.020(W)+1.293(W)2. MenosThe objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not diff... Mostrar Tudo |
Thesaurus NAL: |
Coffea dewevrei; Mathematical models; Non-destructive method. |
Categoria do assunto: |
-- |
URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/3788/1/cafe-enilton-santana.pdf
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Marc: |
LEADER 02611naa a2200301 a 4500 001 1021649 005 2019-09-03 008 2019 bl uuuu u00u1 u #d 024 7 $a10.9734/ijpss/2019/v28i630129$2DOI 100 1 $aSCHMILDT, O. 245 $aEstimation of leaf area by linear dimensions in coffea dewevrei.$h[electronic resource] 260 $c2019 520 $aThe objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=-10.255+1.020(W)+1.293(W)2. 650 $aCoffea dewevrei 650 $aMathematical models 650 $aNon-destructive method 700 1 $aSANTANA, E. N. de. 700 1 $aOLIVEIRA, V. de S. 700 1 $aGOUVEA, R. R. 700 1 $aSOUZA, L. C. 700 1 $aSANTOS, A. N. M. R. 700 1 $aSILVA, S. M. 700 1 $aSANTOS, K. T. H. dos 700 1 $aSANTOS, G. P. 700 1 $aFANTON, C. J. 700 1 $aDOUSSEAU, S. 700 1 $aSCHMILDT, E. R. 773 $tInternational Journal of Plant & Soil Science$gv. 28, n. 6, p. 1-8, 2019.
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