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| Registros recuperados : 22 | |
| 5. |  | MUNHOZ, J. S. B.; OLIVEIRA, S. F. de; MARIN, F.; BATTISTI, R. Estimativa da evapotranspiração de referência no Brasil: uma análise crítica. In: CONGRESSO BRASILEIRO DE METEOROLOGIA, 17.; ENCONTRO DE METEOROLOGIA DOS PAÍSES DO MERCOSUL E ASSOCIADOS, 1.; ENCONTRO SUL AMERICANO DE APLICAÇÕES DO SISTEMA EUMETCast PARA O MONITORAMENTO METEOROLÓGICO E AMBIENTAL, 4.; ENCONTRO DE METEOROLOGIA OPERACIONAL, 2., 2012, Gramado. Anais: programa. Gramado: UFRGS, 2012. 1 CD-ROM.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 6. | | BATTISTI, R.; PILAU, F. G.; SCHWERZ, L.; SOMAVILLA, L.; TOMM, G. O. Dinâmica floral e abortamento de flores em híbridos de canola e mostarda castanha. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 2, p. 174-181, fev. 2013. Título em inglês: Floral dynamics and flower abortion in hybrids of canola and Indian mustard.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 8. | | JUSTINO, L. F.; BATTISTI, R.; STONE, L. F.; HEINEMANN, A. B. Avaliação de doses e datas de aplicação de nitrogênio no feijão-comum por meio de modelo de simulação. In: CONGRESSO NACIONAL DE PESQUISA DE FEIJÃO, 13., 2021, Goiânia. Conectividade tecnológica, intensificação sustentável: resumos. Brasília, DF: Embrapa; Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2021. p. 172. Evento online.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 9. | | JUSTINO, L. F.; BATTISTI, R.; STONE, L. F.; HEINEMANN, A. B. Avaliação econômica da aplicação de doses de nitrogênio na cultura do feijão-comum. In: CONGRESSO NACIONAL DE PESQUISA DE FEIJÃO, 13., 2021, Goiânia. Conectividade tecnológica, intensificação sustentável: resumos. Brasília, DF: Embrapa; Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2021. p. 31. Evento online.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 10. | | JUSTINO, L. F.; BATTISTI, R.; STONE, L. F.; SILVA, S. C. da; HEINEMANN, A. B. Viabilidade econômica da aplicação de nitrogênio na cultura do feijão-comum, em três épocas de cultivo. In: SEMINÁRIO JOVENS TALENTOS, 15., 2021, Santo Antônio de Goiás. Resumos... Brasília, DF: Embrapa; Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2021. p. 74. Evento online.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 12. | | SENTELHAS, P. C.; BATTISTI, R.; CÂMARA, G. M. S.; FARIAS, J. R. B.; HAMPF, A. C.; NENDEL, C. The soybean yield gap in Brazil - magnitude, causes and possible solutions for sustainable production. Journal of Agricultural Science, v. 153, n. 8. p. 1394-1411, Nov. 2015.| Biblioteca(s): Embrapa Soja. |
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| 16. | | BATTISTI, R.; SENTELHAS, P. C.; PARKER, P. S.; NENDEL, C.; CÂMARA, G. M. de S.; FARIAS, J. R. B.; BASSO, C. J. Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil. Crop & pasture science, v. 69, n. 2, p. 154-162, 2018.| Biblioteca(s): Embrapa Soja. |
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| 17. | | ALVES JÚNIOR, J.; NARCISO, M. G.; SILVEIRA, P. M. da; HEINEMANN, A. B.; BEZERRA, R. de S.; BATTISTI, R.; EVANGELISTA, A. W. P.; CASAROLI, D.; SANTOS, J. C. C. dos; KNAPP, F. M. Software para manejo da irrigação na cultura do tomate para processamento industrial em Goiás. In: MELO, J. O. F. (org.). Ciências agrárias: o avanço da ciência no Brasil. São Paulo: Editora Científica Digital, 2022. v. 5. Cap. 34, p. 486-505.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 18. | | SILVA, Y. F.; VALADARES, R. V.; DIAS, H. B.; CUADRA, S. V.; CAMPBELL, E. E.; LAMPARELLI, R. A. C.; MORO, E.; BATTISTI, R.; ALVES, M. R.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. Intense pasture management in Brazil in an integrated crop-livestock system simulated by the DayCent model. Sustainability, v. 14, n. 6, p. 1-24, Mar. 2022. Article 3517.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 19. | | MARIN, F. R.; ZANON, A. J.; MONZON, J. P.; ANDRADE, J. F.; SILVA, E. H. F. M.; RITCHER, G.; SAN MARTIN, B.; BATTISTI, R.; HEINEMANN, A. B.; GRASSINI, P. Intensificação agrícola pode ajudar a proteger a Floresta Amazônica e reduzir o aquecimento global. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 22., 2023, Natal. A agrometeorologia e a agropecuária: adaptação às mudanças climáticas: anais... Natal: Sociedade Brasileira de Agrometeorologia, 2023. p. 2631-2641. CBAGRO 2023.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 20. | | MARIN, F. R.; ZANON, A. J.; MONZON, J. P.; ANDRADE, J. F.; SILVA, E. H. F. M.; RICHTER, G. L.; ANTOLIN, L. A. S.; RIBEIRO, B. S. M. R.; RIBAS, G. G.; BATTISTI, R.; HEINEMANN, A. B.; GRASSINI, P. Protecting the Amazon forest and reducing global warming via agricultural intensification. Nature Sustainability, v. 5, p. 1018-1026, Dec. 2022.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 22 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
17/03/2022 |
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Data da última atualização: |
17/03/2022 |
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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: |
SILVA, Y. F.; VALADARES, R. V.; DIAS, H. B.; CUADRA, S. V.; CAMPBELL, E. E.; LAMPARELLI, R. A. C.; MORO, E.; BATTISTI, R.; ALVES, M. R.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. |
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Afiliação: |
YANE FREITAS SILVA, FEAGRI/UNICAMP; RAFAEL VASCONCELOS VALADARES, NIPE/UNICAMP; HENRIQUE BORIOLO DIAS, NIPE/UNICAMP; SANTIAGO VIANNA CUADRA, CNPTIA; ELEANOR E. CAMPBELL, UNIVERSITY OF NEW HAMPSHIRE; RUBENS AUGUSTO CAMARGO LAMPARELLI, NIPE/UNICAMP; EDEMAR MORO, UNOESTE; RAFAEL BATTISTI, UFG; MARCELO R. ALVES, UNOESTE; PAULO S. G. MAGALHÃES, NIPE/UNICAMP; GLEYCE KELLY DANTAS ARAÚJO FIGUEIREDO, FEAGRI/UNICAMP. |
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Título: |
Intense pasture management in Brazil in an integrated crop-livestock system simulated by the DayCent model. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Sustainability, v. 14, n. 6, p. 1-24, Mar. 2022. |
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DOI: |
https://doi.org/10.3390/su14063517 |
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Idioma: |
Inglês |
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Notas: |
Article 3517. |
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Conteúdo: |
Abstract. Process-based models (PBM) are important tools for understanding the benefits of Integrated Crop-Livestock Systems (ICLS), such as increasing land productivity and improving environmental conditions. PBM can provide insights into the contribution of agricultural production to climate change and help identify potential greenhouse gas (GHG) mitigation and carbon sequestration options. Rehabilitation of degraded lands is a key strategy for achieving food security goals and can reduce the need for new agricultural land. This study focused on the calibration and validation of the DayCent PBM for a typical ICLS adopted in Brazil from 2018 to 2020. We also present the DayCent parametrization for two forage species (ruzigrass and millet) grown simultaneously, bringing some innovation in the modeling challenges. We used aboveground biomass to calibrate the model, randomly selecting data from 70% of the paddocks in the study area. The calibration obtained a coefficient of determination (R2) of 0.69 and a relative RMSE of 37.0%. During the validation, we used other variables (CO2 flux, grain biomass, and soil water content) measured in the ICLS and performed a double validation for plant growth to evaluate the robustness of the model in terms of generalization. R2 validations ranged from 0.61 to 0.73, and relative RMSE from 11.3 to 48.3%. Despite the complexity and diversity of ICLS results show that DayCent can be used to model ICLS, which is an important step for future regional analyses and large-scale evaluations of the impacts of ICLS. MenosAbstract. Process-based models (PBM) are important tools for understanding the benefits of Integrated Crop-Livestock Systems (ICLS), such as increasing land productivity and improving environmental conditions. PBM can provide insights into the contribution of agricultural production to climate change and help identify potential greenhouse gas (GHG) mitigation and carbon sequestration options. Rehabilitation of degraded lands is a key strategy for achieving food security goals and can reduce the need for new agricultural land. This study focused on the calibration and validation of the DayCent PBM for a typical ICLS adopted in Brazil from 2018 to 2020. We also present the DayCent parametrization for two forage species (ruzigrass and millet) grown simultaneously, bringing some innovation in the modeling challenges. We used aboveground biomass to calibrate the model, randomly selecting data from 70% of the paddocks in the study area. The calibration obtained a coefficient of determination (R2) of 0.69 and a relative RMSE of 37.0%. During the validation, we used other variables (CO2 flux, grain biomass, and soil water content) measured in the ICLS and performed a double validation for plant growth to evaluate the robustness of the model in terms of generalization. R2 validations ranged from 0.61 to 0.73, and relative RMSE from 11.3 to 48.3%. Despite the complexity and diversity of ICLS results show that DayCent can be used to model ICLS, which is an important step for future reg... Mostrar Tudo |
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Palavras-Chave: |
Biogeochemical model; Integrated Crop-Livestock Systems; Manejo de pastagens; Mixed pasture; Modelo biogeoquímico; Pastagem tropical; Sistemas Integrados Lavoura-Pecuária; Tropical pasture. |
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Thesagro: |
Pastagem Mista; Soja; Solo Arenoso. |
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Thesaurus NAL: |
Sandy soils; Soybeans. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232632/1/AP-Intense-Pasture-2022.pdf
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Marc: |
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001 2141004
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008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/su14063517$2DOI
100 1 $aSILVA, Y. F.
245 $aIntense pasture management in Brazil in an integrated crop-livestock system simulated by the DayCent model.$h[electronic resource]
260 $c2022
500 $aArticle 3517.
520 $aAbstract. Process-based models (PBM) are important tools for understanding the benefits of Integrated Crop-Livestock Systems (ICLS), such as increasing land productivity and improving environmental conditions. PBM can provide insights into the contribution of agricultural production to climate change and help identify potential greenhouse gas (GHG) mitigation and carbon sequestration options. Rehabilitation of degraded lands is a key strategy for achieving food security goals and can reduce the need for new agricultural land. This study focused on the calibration and validation of the DayCent PBM for a typical ICLS adopted in Brazil from 2018 to 2020. We also present the DayCent parametrization for two forage species (ruzigrass and millet) grown simultaneously, bringing some innovation in the modeling challenges. We used aboveground biomass to calibrate the model, randomly selecting data from 70% of the paddocks in the study area. The calibration obtained a coefficient of determination (R2) of 0.69 and a relative RMSE of 37.0%. During the validation, we used other variables (CO2 flux, grain biomass, and soil water content) measured in the ICLS and performed a double validation for plant growth to evaluate the robustness of the model in terms of generalization. R2 validations ranged from 0.61 to 0.73, and relative RMSE from 11.3 to 48.3%. Despite the complexity and diversity of ICLS results show that DayCent can be used to model ICLS, which is an important step for future regional analyses and large-scale evaluations of the impacts of ICLS.
650 $aSandy soils
650 $aSoybeans
650 $aPastagem Mista
650 $aSoja
650 $aSolo Arenoso
653 $aBiogeochemical model
653 $aIntegrated Crop-Livestock Systems
653 $aManejo de pastagens
653 $aMixed pasture
653 $aModelo biogeoquímico
653 $aPastagem tropical
653 $aSistemas Integrados Lavoura-Pecuária
653 $aTropical pasture
700 1 $aVALADARES, R. V.
700 1 $aDIAS, H. B.
700 1 $aCUADRA, S. V.
700 1 $aCAMPBELL, E. E.
700 1 $aLAMPARELLI, R. A. C.
700 1 $aMORO, E.
700 1 $aBATTISTI, R.
700 1 $aALVES, M. R.
700 1 $aMAGALHÃES, P. S. G.
700 1 $aFIGUEIREDO, G. K. D. A.
773 $tSustainability$gv. 14, n. 6, p. 1-24, Mar. 2022.
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