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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pesca e Aquicultura. |
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Data corrente: |
12/08/2021 |
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Data da última atualização: |
10/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BRUNETTI, H. B.; BOOTE, K. J.; SANTOS, P. M.; PEZZOPANE, J. R. M.; PEDREIRA, C. G. S.; LARA, M. A. S.; MORENO, L. S. de B.; HOOGENBOOM, G. |
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Afiliação: |
HENRIQUE B. BRUNETTI, USP-ESALQ; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA; PATRICIA MENEZES SANTOS, CPPSE; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; CARLOS G. S. PEDREIRA, USP-ESALQ; MÁRCIO A. S. LARA, UFLA; LEONARDO SIMOES DE BARROS MORENO, CNPASA; GERRIT HOOGENBOOM, UNIVERSITY OF FLORIDA. |
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Título: |
Improving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Agronomy Journal, v. 113, n. 4, p. 3299-3314, July/Aug. 2021. |
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ISSN: |
1435-0645 |
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DOI: |
https://doi.org/10.1002/agj2.20766 |
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Idioma: |
Inglês |
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Conteúdo: |
Tropical forage grasses are used for several applications including grazing, silage, and biofuels; with harvesting at varying phenological stages. Mechanistic simulation models can be powerful tools to assist with planning and decision making of pasture utilization strategies. The objective of this study was to improve and evaluate the ability of the Cropping System Model-CROPGRO-Perennial Forage model (CSMCROPGRO-PFM) to simulate growth and biomass partitioning of two guineagrass [Panicum maximum Jacq. syn. Megathyrsus maximus (Jacq.) BK Simon & SWL Jacobs] cultivars, Tanzânia and Mombaça. Data from two experiments with contrasting harvest management and field conditions were used. Model parameters were modified, targeting improvement in d-statistic and root mean square error (RMSE) for aboveground, leaf, stem biomass, leaf area index (LAI), and leaf proportion of aboveground biomass. Major improvement in model performance was achieved by modifying the vegetative partitioning parameters between leaf and stem through increasing partitioning to leaf during early regrowth while increasing it to stem during late regrowth. Modifications were made to parameters affecting leaf and stem senescence, leaf photosynthesis, and leaf area expansion sensitivity to cool weather. The RMSE values decreased from 2,261 to 1,768 kg ha-1 for aboveground biomass, from 1,620 to 874 kg ha-1 for stem biomass, from 11.41 to 7.27% for leaf percentage, from 1.91 to 1.68 for LAI, but increased slightly for leaf biomass. The d-statistic computed over all these variables increased from .86 to .93. The improved model performance for both short and long harvest cycles will facilitate further applications for diverse forage crops utilization strategies. MenosTropical forage grasses are used for several applications including grazing, silage, and biofuels; with harvesting at varying phenological stages. Mechanistic simulation models can be powerful tools to assist with planning and decision making of pasture utilization strategies. The objective of this study was to improve and evaluate the ability of the Cropping System Model-CROPGRO-Perennial Forage model (CSMCROPGRO-PFM) to simulate growth and biomass partitioning of two guineagrass [Panicum maximum Jacq. syn. Megathyrsus maximus (Jacq.) BK Simon & SWL Jacobs] cultivars, Tanzânia and Mombaça. Data from two experiments with contrasting harvest management and field conditions were used. Model parameters were modified, targeting improvement in d-statistic and root mean square error (RMSE) for aboveground, leaf, stem biomass, leaf area index (LAI), and leaf proportion of aboveground biomass. Major improvement in model performance was achieved by modifying the vegetative partitioning parameters between leaf and stem through increasing partitioning to leaf during early regrowth while increasing it to stem during late regrowth. Modifications were made to parameters affecting leaf and stem senescence, leaf photosynthesis, and leaf area expansion sensitivity to cool weather. The RMSE values decreased from 2,261 to 1,768 kg ha-1 for aboveground biomass, from 1,620 to 874 kg ha-1 for stem biomass, from 11.41 to 7.27% for leaf percentage, from 1.91 to 1.68 for LAI, but increased slightly... Mostrar Tudo |
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Palavras-Chave: |
Growth and biomass partitioning; Mombaça; Stem biomass. |
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Thesagro: |
Biomassa; Modelo de Simulação; Panicum Maximum; Pastagem. |
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Thesaurus Nal: |
Forage crops; Megathyrsus maximus; Tanzania. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02791naa a2200349 a 4500
001 2133598
005 2021-12-10
008 2021 bl uuuu u00u1 u #d
022 $a1435-0645
024 7 $ahttps://doi.org/10.1002/agj2.20766$2DOI
100 1 $aBRUNETTI, H. B.
245 $aImproving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass.$h[electronic resource]
260 $c2021
520 $aTropical forage grasses are used for several applications including grazing, silage, and biofuels; with harvesting at varying phenological stages. Mechanistic simulation models can be powerful tools to assist with planning and decision making of pasture utilization strategies. The objective of this study was to improve and evaluate the ability of the Cropping System Model-CROPGRO-Perennial Forage model (CSMCROPGRO-PFM) to simulate growth and biomass partitioning of two guineagrass [Panicum maximum Jacq. syn. Megathyrsus maximus (Jacq.) BK Simon & SWL Jacobs] cultivars, Tanzânia and Mombaça. Data from two experiments with contrasting harvest management and field conditions were used. Model parameters were modified, targeting improvement in d-statistic and root mean square error (RMSE) for aboveground, leaf, stem biomass, leaf area index (LAI), and leaf proportion of aboveground biomass. Major improvement in model performance was achieved by modifying the vegetative partitioning parameters between leaf and stem through increasing partitioning to leaf during early regrowth while increasing it to stem during late regrowth. Modifications were made to parameters affecting leaf and stem senescence, leaf photosynthesis, and leaf area expansion sensitivity to cool weather. The RMSE values decreased from 2,261 to 1,768 kg ha-1 for aboveground biomass, from 1,620 to 874 kg ha-1 for stem biomass, from 11.41 to 7.27% for leaf percentage, from 1.91 to 1.68 for LAI, but increased slightly for leaf biomass. The d-statistic computed over all these variables increased from .86 to .93. The improved model performance for both short and long harvest cycles will facilitate further applications for diverse forage crops utilization strategies.
650 $aForage crops
650 $aMegathyrsus maximus
650 $aTanzania
650 $aBiomassa
650 $aModelo de Simulação
650 $aPanicum Maximum
650 $aPastagem
653 $aGrowth and biomass partitioning
653 $aMombaça
653 $aStem biomass
700 1 $aBOOTE, K. J.
700 1 $aSANTOS, P. M.
700 1 $aPEZZOPANE, J. R. M.
700 1 $aPEDREIRA, C. G. S.
700 1 $aLARA, M. A. S.
700 1 $aMORENO, L. S. de B.
700 1 $aHOOGENBOOM, G.
773 $tAgronomy Journal$gv. 113, n. 4, p. 3299-3314, July/Aug. 2021.
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Registro original: |
Embrapa Pesca e Aquicultura (CNPASA) |
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Biblioteca |
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Origem |
Tipo/Formato |
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Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas; Embrapa Solos. |
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Data corrente: |
08/04/2021 |
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Data da última atualização: |
18/10/2021 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
PRADO, R. B.; MONTEIRO, J. M. G.; BARROS, L. C. de; PARRON, L. M.; SILVA, M. S. G. M. e; RIBEIRO, P. E. de A.; FIGUEIREDO, R. de O. |
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Afiliação: |
RACHEL BARDY PRADO, CNPS; JOYCE MARIA GUIMARAES MONTEIRO, CNPS; LUCIANO CORDOVAL DE BARROS, CNPMS; LUCILIA MARIA PARRON VARGAS, CNPF; MARIANA SILVEIRA GUERRA MOURA E SILVA, CNPMA; PAULO EDUARDO DE AQUINO RIBEIRO, CNPMS; RICARDO DE OLIVEIRA FIGUEIREDO, CNPMA. |
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Título: |
Conservation of ecosystems and water supply. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
In: SILVA, M. S. L. da; MATTHIENSEN, A.; BRITO, L. T. de L.; LIMA, J. E. F. W.; CARVALHO, C. J. R. de (ed.). Clean water and sanitation: contributions of Embrapa. Brasília, DF: Embrapa, 2020. cap. 6, p. 59-72. (Sustainable development goal, 6). |
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Idioma: |
Inglês |
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Conteúdo: |
This chapter presents an overview of anthropogenic pressures on water resources and their ecosystems, some strategies for conserving these resources for water production, as well as a picture of Embrapa's actions with the potential to contribute to the achievement of the target 6.6 of the SDG 6: protect and restore water-related ecosystems, including mountains, forests, wetlands, rivers, aquifers and lakes by 2020. The technological solutions that Embrapa research has generated are related to the reduction of the erosive processes and the sedimentation of the water bodies; planning, monitoring and valuation of ecosystem services, with emphasis on water resources; to conservation practices with consequences for maintaining the quantity and quality of water, among others. This chapter exposes society the results of research that have greatly contributed to improving the quality of life of men in the field, as well as being a vehicle for attracting new partners that can strengthen these actions. |
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Thesagro: |
Ecossistema; Manejo de Água; Recurso Hídrico. |
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Thesaurus NAL: |
Ecosystems; Water management; Water resources. |
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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/222413/1/SDG-6-cap-6-2020.pdf
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Marc: |
LEADER 01936naa a2200265 a 4500
001 2131137
005 2021-10-18
008 2020 bl uuuu u00u1 u #d
100 1 $aPRADO, R. B.
245 $aConservation of ecosystems and water supply.$h[electronic resource]
260 $c2020
520 $aThis chapter presents an overview of anthropogenic pressures on water resources and their ecosystems, some strategies for conserving these resources for water production, as well as a picture of Embrapa's actions with the potential to contribute to the achievement of the target 6.6 of the SDG 6: protect and restore water-related ecosystems, including mountains, forests, wetlands, rivers, aquifers and lakes by 2020. The technological solutions that Embrapa research has generated are related to the reduction of the erosive processes and the sedimentation of the water bodies; planning, monitoring and valuation of ecosystem services, with emphasis on water resources; to conservation practices with consequences for maintaining the quantity and quality of water, among others. This chapter exposes society the results of research that have greatly contributed to improving the quality of life of men in the field, as well as being a vehicle for attracting new partners that can strengthen these actions.
650 $aEcosystems
650 $aWater management
650 $aWater resources
650 $aEcossistema
650 $aManejo de Água
650 $aRecurso Hídrico
700 1 $aMONTEIRO, J. M. G.
700 1 $aBARROS, L. C. de
700 1 $aPARRON, L. M.
700 1 $aSILVA, M. S. G. M. e
700 1 $aRIBEIRO, P. E. de A.
700 1 $aFIGUEIREDO, R. de O.
773 $tIn: SILVA, M. S. L. da; MATTHIENSEN, A.; BRITO, L. T. de L.; LIMA, J. E. F. W.; CARVALHO, C. J. R. de (ed.). Clean water and sanitation: contributions of Embrapa. Brasília, DF: Embrapa, 2020. cap. 6, p. 59-72. (Sustainable development goal, 6).
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Embrapa Solos (CNPS) |
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