|
|
Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
17/03/2022 |
Data da última atualização: |
17/03/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
Intense pasture management in Brazil in an integrated crop-livestock system simulated by the DayCent model. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Sustainability, v. 14, n. 6, p. 1-24, Mar. 2022. |
DOI: |
https://doi.org/10.3390/su14063517 |
Idioma: |
Inglês |
Notas: |
Article 3517. |
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 |
Palavras-Chave: |
Biogeochemical model; Integrated Crop-Livestock Systems; Manejo de pastagens; Mixed pasture; Modelo biogeoquímico; Pastagem tropical; Sistemas Integrados Lavoura-Pecuária; Tropical pasture. |
Thesagro: |
Pastagem Mista; Soja; Solo Arenoso. |
Thesaurus Nal: |
Sandy soils; Soybeans. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232632/1/AP-Intense-Pasture-2022.pdf
|
Marc: |
LEADER 02818naa a2200421 a 4500 001 2141004 005 2022-03-17 008 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.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Territorial. Para informações adicionais entre em contato com cnpm.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Gado de Corte; Embrapa Territorial. |
Data corrente: |
07/07/2021 |
Data da última atualização: |
12/07/2021 |
Tipo da produção científica: |
Documentos |
Autoria: |
OMOTE, H. de S. G.; CASTRO, L. M. de; GRACIANO, V. A.; SANTOS, R. C. DOS; SOUZA, J. D. F. de; VAZ, A. P. A.; ARAUJO, A. R. de; SALMAN, A. K. D.; BUENO, L. G.; KOPP, M. M.; ANTONIO, R. P.; EUCLIDES, V. P. B.; GUARDA, V. D. A.; SANTOS, P. M. |
Afiliação: |
HELIO DE SENA GOUVEA OMOTE, CPPSE; LIVIA MENDES DE CASTRO, CPPSE; VANESSA ARAUJO GRACIANO, CNPQ; RENATA CARVALHO DOS SANTOS, UNIVERSIDADE BRASIL; JUAN DIEGO FERELLI DE SOUZA, CNPM; ANA PAULA ARTIMONTE VAZ, SIN; ALEXANDRE ROMEIRO DE ARAUJO, CNPGC; ANA KARINA DIAS SALMAN, CPAF-RO; LUICE GOMES BUENO GALVANI, CNPC; MAURICIO MARINI KOPP, CPPSUL; RAFAELA PRISCILA ANTONIO, CPATSA; VALERIA PACHECO BATISTA EUCLIDES, CNPGC; VITOR DEL ALAMO GUARDA, SIN; PATRICIA MENEZES SANTOS, CPPSE. |
Título: |
Monitoramento tecnológico de cultivares de forrageiras no Brasil. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
São Carlos, SP: Embrapa Pecuária Sudeste, 2021. |
Páginas: |
34 p. |
Série: |
(Embrapa Pecuária Sudeste. Documentos, 139). |
Idioma: |
Português |
Conteúdo: |
As forrageiras desenvolvidas e adaptadas para a produção animal em pastagens contribuem para que o Brasil mantenha a condição de grande produtor e exportador mundial de carne bovina. O país abateu de 43,3 milhões de cabeças e produziu 10,49 milhões de toneladas em equivalente carcaça (TEC) em 2019 (ABIEC, 2020). Isso também põe o Brasil na liderança mundial em produção, consumo e exportação de sementes forrageiras, um dos maiores segmentos no comércio nacional de sementes (MAPA, 2019). |
Palavras-Chave: |
Cultivar. |
Thesagro: |
Pastagem; Semente. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 01426nam a2200325 a 4500 001 2132901 005 2021-07-12 008 2021 bl uuuu 00u1 u #d 100 1 $aOMOTE, H. de S. G. 245 $aMonitoramento tecnológico de cultivares de forrageiras no Brasil.$h[electronic resource] 260 $aSão Carlos, SP: Embrapa Pecuária Sudeste$c2021 300 $a34 p. 490 $a(Embrapa Pecuária Sudeste. Documentos, 139). 520 $aAs forrageiras desenvolvidas e adaptadas para a produção animal em pastagens contribuem para que o Brasil mantenha a condição de grande produtor e exportador mundial de carne bovina. O país abateu de 43,3 milhões de cabeças e produziu 10,49 milhões de toneladas em equivalente carcaça (TEC) em 2019 (ABIEC, 2020). Isso também põe o Brasil na liderança mundial em produção, consumo e exportação de sementes forrageiras, um dos maiores segmentos no comércio nacional de sementes (MAPA, 2019). 650 $aPastagem 650 $aSemente 653 $aCultivar 700 1 $aCASTRO, L. M. de 700 1 $aGRACIANO, V. A. 700 1 $aSANTOS, R. C. DOS 700 1 $aSOUZA, J. D. F. de 700 1 $aVAZ, A. P. A. 700 1 $aARAUJO, A. R. de 700 1 $aSALMAN, A. K. D. 700 1 $aBUENO, L. G. 700 1 $aKOPP, M. M. 700 1 $aANTONIO, R. P. 700 1 $aEUCLIDES, V. P. B. 700 1 $aGUARDA, V. D. A. 700 1 $aSANTOS, P. M.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Territorial (CNPM) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|