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| 4. |  | 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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| 5. | | DIAS, H. B.; CUADRA, S. V.; FIGUEIREDO, G. K. D. A.; LAMPARELLI, R. A. C.; SILVA, L. E. A.; SILVA, Y. F. da; MORO, E.; ALVES, M. R.; MAGALHÃES, P. S. G. Modelling integrated crop-livestock systems: preliminary results from an agroecosystem model. In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. Proceedings reference. Brasília, DF: Embrapa, 2021. p. 782-787. WCCLF 2021. Evento online.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 6. | | REIS, A. A. dos; SILVA, B. C.; WERNER, J. P. S.; SILVA, Y. F.; ROCHA, J. V.; FIGUEIREDO, G. K. D. A.; ANTUNES, J. F. G.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; LAMPARELLI, R. A. C; MAGALHÃES, P. S. G. Exploring the potential of high-resolution PlanetScope imagery for pasture biomass estimation in an integrated crop-livestock system. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 42-3, W12, p. 419-424, 2020. Publicado também em: IEEE LATIN AMERICAN GRSS; ISPRS REMOTE SENSING CONFERENCE, Santiago, 2020. Proceedings... [Piscataway]: IEEE, 2020. p. 675-680. LAGIRS 2020.| Biblioteca(s): Embrapa Agricultura Digital. |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
11/11/2021 |
|
Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
DIAS, H. B.; CUADRA, S. V.; FIGUEIREDO, G. K. D. A.; LAMPARELLI, R. A. C.; SILVA, L. E. A.; SILVA, Y. F. da; MORO, E.; ALVES, M. R.; MAGALHÃES, P. S. G. |
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Afiliação: |
HENRIQUE BORIOLO DIAS, UNICAMP; SANTIAGO VIANNA CUADRA, CNPTIA; GLEYCE KELLY DANTAS ARAÚJO FIGUEIREDO, FEAGRI/UNICAMP; RUBENS AUGUSTO CAMARGO LAMPARELLI, NIPE/UNICAMP; LEANDRO EDUARDO ANNIBAL SILVA; YANE FREITAS DA SILVA, FEAGRI/UNICAMP; EDEMAR MORO, UNOESTE; MARCELO RODRIGO ALVES, UNOESTE; PAULO SERGIO GRAZIANO MAGALHÃES, NIPE/UNICAMP. |
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Título: |
Modelling integrated crop-livestock systems: preliminary results from an agroecosystem model. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. Proceedings reference. Brasília, DF: Embrapa, 2021. p. 782-787. |
|
ISBN: |
978-65-994135-4-4 |
|
Idioma: |
Inglês |
|
Notas: |
WCCLF 2021. Evento online. |
|
Conteúdo: |
ABSTRACT. Integrated Crop-Livestock Systems (ICLS) are being considered to improve food production sustainability and are of increasing interest to the modelling community worldwide. Our goal was to evaluate the ability of an agroecosystem model simulator (ECOSMOS) to predict plant growth and yield, and water dynamics in an ICLS in the Western region of São Paulo State, Brazil. Four fields of approximately 50 ha each were monitored after the implementation of the ICLS at the end of 2018. Soybean yields (two seasons), mixed-pasture aboveground dry biomass and soil water content (for the pasture only) measurements were contrasted with predictions from ECOSMOS with recently implemented soybean and pasture sub-models. Preliminary results from a generic simulation for the whole farm showed that the model was able to capture fairly well the seasonal variation in growth and water dynamics. Such results suggest that the existing knowledge and modelling approaches embedded in the model are robust. Future steps toward modelling the ICLS will involve to parameterise the model for Brazilian cultivars of the system using data from controlled/manipulative experiments, develop a framework to simulate two plants concomitantly, and then assess its capability to predict environmental variables of interest, such as carbon dynamics. |
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Palavras-Chave: |
Agriculture (Soybean); Integrated crop-livestock systems; Intensification; Modelagem; Pasture; Sistemas integrados lavoura-pecuária. |
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Thesagro: |
Agricultura; Pastagem; Soja. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227705/1/PC-Modeling-integrated-crop-WCCLF-2021.pdf
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Marc: |
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245 $aModelling integrated crop-livestock systems$bpreliminary results from an agroecosystem model.$h[electronic resource]
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500 $aWCCLF 2021. Evento online.
520 $aABSTRACT. Integrated Crop-Livestock Systems (ICLS) are being considered to improve food production sustainability and are of increasing interest to the modelling community worldwide. Our goal was to evaluate the ability of an agroecosystem model simulator (ECOSMOS) to predict plant growth and yield, and water dynamics in an ICLS in the Western region of São Paulo State, Brazil. Four fields of approximately 50 ha each were monitored after the implementation of the ICLS at the end of 2018. Soybean yields (two seasons), mixed-pasture aboveground dry biomass and soil water content (for the pasture only) measurements were contrasted with predictions from ECOSMOS with recently implemented soybean and pasture sub-models. Preliminary results from a generic simulation for the whole farm showed that the model was able to capture fairly well the seasonal variation in growth and water dynamics. Such results suggest that the existing knowledge and modelling approaches embedded in the model are robust. Future steps toward modelling the ICLS will involve to parameterise the model for Brazilian cultivars of the system using data from controlled/manipulative experiments, develop a framework to simulate two plants concomitantly, and then assess its capability to predict environmental variables of interest, such as carbon dynamics.
650 $aAgricultura
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653 $aIntegrated crop-livestock systems
653 $aIntensification
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653 $aSistemas integrados lavoura-pecuária
700 1 $aCUADRA, S. V.
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700 1 $aALVES, M. R.
700 1 $aMAGALHÃES, P. S. G.
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