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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
17/07/2017 |
Data da última atualização: |
16/10/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
CADEMARTORI, P. H. G. de; CLARO, F. C.; MARINHO, N. P.; ZANONI, P. R. S.; MAGALHAES, W. L. E. |
Afiliação: |
Pedro Henrique Gonzalez de Cademartori, Programa de Pós-Graduação em Engenharia Florestal (PPGEF), Universidade Federal do Paraná; Francine Ceccon Claro, Programa de Pós-Graduação em Engenharia e Ciência dos Materiais (PIPE), Universidade Federal do Paraná; Nelson Potenciano Marinho, Programa de Pós-Graduação em Engenharia Florestal (PPGEF), Universidade Federal do Paraná; PATRICIA RAQUEL SILVA ZANONI, CNPF; WASHINGTON LUIZ ESTEVES MAGALHAES, CNPF. |
Título: |
Co-production of thermoplastic composites with solid residue from enzymatic hydrolysis of recycled paper sludge. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Journal of Cleaner Production, v.162 p. 27-33, Sept. 2017. |
DOI: |
https://doi.org/10.1016/j.jclepro.2017.06.009 |
Idioma: |
Inglês |
Conteúdo: |
The aim of this study is to enhance the use of agro-industrial byproducts and to address the environmental concerns by a novel method of co-production of thermoplastic composites with a solid residue constituting biorefinery. Accordingly, the reuse of 10e30 wt. % solid residues (SRH) from the enzymatic hydrolysis of recycled paper sludge (PS) in the production of thermoplastic composites with polypropylene (PP) was investigated. Thermal properties, water absorption, tensile strength and morphology of the prepared composites were evaluated. Higher thermal stability, rougher and wetter surface, and characteristics of a brittle material were observed in PP-SRH composites in comparison to the pristine PSPP composites and the neat PP. The water absorption increased with increasing amount of SRH, but in lower proportion compared to other common raw materials used in the preparation of composites. Use of SRH resulted in similar or better properties compared to the composites made with the unhydrolyzed paper sludge, suggesting that SRH has potential for recycling and utilization as filler in the development of thermoplastic composites. |
Palavras-Chave: |
Compósito termoplástico; Estabilidade térmica; Molhabilidade; Paper mill sludge; Resource efficiency; Solid residue. |
Thesagro: |
Resíduo Solido. |
Thesaurus Nal: |
Composite materials; Pulp and paper sludge; Thermal stability; Wettability. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02147naa a2200313 a 4500 001 2072762 005 2017-10-16 008 2017 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.jclepro.2017.06.009$2DOI 100 1 $aCADEMARTORI, P. H. G. de 245 $aCo-production of thermoplastic composites with solid residue from enzymatic hydrolysis of recycled paper sludge.$h[electronic resource] 260 $c2017 520 $aThe aim of this study is to enhance the use of agro-industrial byproducts and to address the environmental concerns by a novel method of co-production of thermoplastic composites with a solid residue constituting biorefinery. Accordingly, the reuse of 10e30 wt. % solid residues (SRH) from the enzymatic hydrolysis of recycled paper sludge (PS) in the production of thermoplastic composites with polypropylene (PP) was investigated. Thermal properties, water absorption, tensile strength and morphology of the prepared composites were evaluated. Higher thermal stability, rougher and wetter surface, and characteristics of a brittle material were observed in PP-SRH composites in comparison to the pristine PSPP composites and the neat PP. The water absorption increased with increasing amount of SRH, but in lower proportion compared to other common raw materials used in the preparation of composites. Use of SRH resulted in similar or better properties compared to the composites made with the unhydrolyzed paper sludge, suggesting that SRH has potential for recycling and utilization as filler in the development of thermoplastic composites. 650 $aComposite materials 650 $aPulp and paper sludge 650 $aThermal stability 650 $aWettability 650 $aResíduo Solido 653 $aCompósito termoplástico 653 $aEstabilidade térmica 653 $aMolhabilidade 653 $aPaper mill sludge 653 $aResource efficiency 653 $aSolid residue 700 1 $aCLARO, F. C. 700 1 $aMARINHO, N. P. 700 1 $aZANONI, P. R. S. 700 1 $aMAGALHAES, W. L. E. 773 $tJournal of Cleaner Production$gv.162 p. 27-33, Sept. 2017.
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
06/03/2020 |
Data da última atualização: |
20/04/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
RAMIREZ-VILLEGAS, J.; MOLERO MILAN, A.; ALEXANDROV, N.; ASSENG, S.; CHALLINOR, A. J.; CROSSA, J.; VAN EEUWIJK, F.; GHANEM, M. E.; GRENIER, C.; HEINEMANN, A. B.; WANG, J.; JULIANA, P.; KEHEL, Z.; KHOLOVA, J; KOO, J.; PEQUENO, D.; QUIROZ, R.; REBOLLEDO, M. C.; SUKUMARAN, S.; VADEZ, V.; WHITE, J. W.; REYNOLDS, M. |
Afiliação: |
JULIAN RAMIREZ-VILLEGAS, CIAT; ANABEL MOLERO MILAN, CIMMYT; NICKOLAI ALEXANDROV, IRRI; SENTHOLD ASSENG, UNIVERSITY OF FLORIDA, Gainesville-FL; ANDREW J. CHALLINOR, UNIVERSITY OF LEEDS, Leeds-UK; JOSE CROSSA, CIMMYT; FREED VAN EEUWIJK, WAGENINGEN UNIVERSITY, The Netherlands; MICHEL EDMOND GHANEM, ICARDA; CECILE GRENIER, CIAT; ALEXANDRE BRYAN HEINEMANN, CNPAF; JIANKANG WANG, INSTITUTE OF CROP SCIENCES, Beijing; PHILOMIN JULIANA, CIMMYT; ZAKARIA KEHEL, ICARDA; JANA KHOLOVA, ICRISAT; JAWOO KOO, IFPRI; DIEGO PEQUENO, CIMMYT; ROBERTO QUIROZ, CIP; MARIA C. REBOLLEDO, CIAT; SIVAKUMAR SUKUMARAN, CIMMYT; VINCENT VADEZ, ICRISAT; JEFFREY W. WHITE, USDA-ARS; MATTHEW REYNOLDS, CIMMYT. |
Título: |
CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Crop Science, 2020. |
ISSN: |
0011-183X |
DOI: |
10.1002/csc2.20048 |
Idioma: |
Inglês |
Notas: |
Online Version of Record before inclusion in an issue. |
Conteúdo: |
Crop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains 'to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to usefully contribute to climate adaptation, mitigation and food security?'. Here, we address this question by critically reviewing how model-based approaches can be used to assist breeding activities, with particular focus on all CGIAR (formerly the Consultative Group on International Agricultural Research but now known simply as CGIAR) breeding programs. Crop modeling can underpin breeding efforts in many different ways, including assessing genotypic adaptability and stability, characterizing and identifying target breeding environments, identifying tradeoffs among traits for such environments, and making predictions of the likely breeding value of the genotypes. Crop modeling science within the CGIAR has contributed to all of these. However, much progress remains to be done if modeling is to effectively contribute to more targeted and impactful breeding programs under changing climates. In a period in which CGIAR breeding programs are undergoing a major modernization process, crop modelers will need to be part of crop improvement teams, with a common understanding of breeding pipelines and model capabilities and limitations, and common data standards and protocols, to ensure they follow and deliver according to clearly defined breeding products. This will, in turn, enable more rapid and better-targeted crop modeling activities, thus directly contributing to accelerated and more impactful breeding efforts. MenosCrop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains 'to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to usefully contribute to climate adaptation, mitigation and food security?'. Here, we address this question by critically reviewing how model-based approaches can be used to assist breeding activities, with particular focus on all CGIAR (formerly the Consultative Group on International Agricultural Research but now known simply as CGIAR) breeding programs. Crop modeling can underpin breeding efforts in many different ways, including assessing genotypic adaptability and stability, characterizing and identifying target breeding environments, identifying tradeoffs among traits for such environments, and making predictions of the likely breeding value of the genotypes. Crop modeling science within the CGIAR has contributed to all of these. However, much progress remains to be done if modeling is to effectively contribute to more targeted and impactful breeding programs under changing climates. In a period in which CGIAR breeding programs are undergoing a major modernization process, crop modelers will need to be part of crop improvement teams, with a common understanding of breeding pipelines and model capabilities and limitations, and common data standards and protocols, to ensure they follo... Mostrar Tudo |
Palavras-Chave: |
Crop improvement; Crop modeling. |
Thesagro: |
Clima. |
Thesaurus NAL: |
Breeding; Climate change; Crops; Food security; Plant adaptation; Simulation models. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/211586/1/CNPAF-2020-cs.pdf
|
Marc: |
LEADER 03114naa a2200517 a 4500 001 2121007 005 2020-04-20 008 2020 bl uuuu u00u1 u #d 022 $a0011-183X 024 7 $a10.1002/csc2.20048$2DOI 100 1 $aRAMIREZ-VILLEGAS, J. 245 $aCGIAR modeling approaches for resource-constrained scenarios$bI. Accelerating crop breeding for a changing climate.$h[electronic resource] 260 $c2020 500 $aOnline Version of Record before inclusion in an issue. 520 $aCrop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains 'to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to usefully contribute to climate adaptation, mitigation and food security?'. Here, we address this question by critically reviewing how model-based approaches can be used to assist breeding activities, with particular focus on all CGIAR (formerly the Consultative Group on International Agricultural Research but now known simply as CGIAR) breeding programs. Crop modeling can underpin breeding efforts in many different ways, including assessing genotypic adaptability and stability, characterizing and identifying target breeding environments, identifying tradeoffs among traits for such environments, and making predictions of the likely breeding value of the genotypes. Crop modeling science within the CGIAR has contributed to all of these. However, much progress remains to be done if modeling is to effectively contribute to more targeted and impactful breeding programs under changing climates. In a period in which CGIAR breeding programs are undergoing a major modernization process, crop modelers will need to be part of crop improvement teams, with a common understanding of breeding pipelines and model capabilities and limitations, and common data standards and protocols, to ensure they follow and deliver according to clearly defined breeding products. This will, in turn, enable more rapid and better-targeted crop modeling activities, thus directly contributing to accelerated and more impactful breeding efforts. 650 $aBreeding 650 $aClimate change 650 $aCrops 650 $aFood security 650 $aPlant adaptation 650 $aSimulation models 650 $aClima 653 $aCrop improvement 653 $aCrop modeling 700 1 $aMOLERO MILAN, A. 700 1 $aALEXANDROV, N. 700 1 $aASSENG, S. 700 1 $aCHALLINOR, A. J. 700 1 $aCROSSA, J. 700 1 $aVAN EEUWIJK, F. 700 1 $aGHANEM, M. E. 700 1 $aGRENIER, C. 700 1 $aHEINEMANN, A. B. 700 1 $aWANG, J. 700 1 $aJULIANA, P. 700 1 $aKEHEL, Z. 700 1 $aKHOLOVA, J 700 1 $aKOO, J. 700 1 $aPEQUENO, D. 700 1 $aQUIROZ, R. 700 1 $aREBOLLEDO, M. C. 700 1 $aSUKUMARAN, S. 700 1 $aVADEZ, V. 700 1 $aWHITE, J. W. 700 1 $aREYNOLDS, M. 773 $tCrop Science, 2020.
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