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Registro Completo |
Biblioteca(s): |
Embrapa Agropecuária Oeste. |
Data corrente: |
23/09/2021 |
Data da última atualização: |
27/10/2021 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
BITENCOURT, I. A. N.; DRUZIANI, C. C.; AMORIM, A. dos S.; COMUNELLO, E.; GARCIA, R. A.; MOTTA, I. de S. |
Afiliação: |
INARA ANGÉLICA NASCIMENTO BITENCOURT, GRADUANDA EM AGRONOMIA - CENTRO UNIVERSITÁRIO DA GRANDE DOURADOS, DOURADOS; CHRISTIAN CALDEIRA DRUZIANI, GRADUANDO EM AGRONOMIA - CENTRO UNIVERSITÁRIO DA GRANDE DOURADOS, DOURADOS; AMANDA DOS SANTOS AMORIM, GRADUANDA EM AGRONOMIA - CENTRO UNIVERSITÁRIO DA GRANDE DOURADOS, DOURADOS; EDER COMUNELLO, CPAO; RODRIGO ARROYO GARCIA, CPAO; IVO DE SA MOTTA, CPAO. |
Título: |
Produtividade e componentes de produção do milho-verde solteiro e consorciado com plantas de cobertura. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
In: JORNADA DE INICIAÇÃO À PESQUISA DA EMBRAPA, 2021, Dourados. Resumos. Brasília, DF: Embrapa, 2021. JIPE 2021 |
ISBN: |
978-65-87380-50-6 |
Idioma: |
Português |
Palavras-Chave: |
Cultivo consorciado. |
Thesagro: |
Milho; Milho Verde. |
Categoria do assunto: |
A Sistemas de Cultivo |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227239/1/Inara-.pdf
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Marc: |
LEADER 00720nam a2200205 a 4500 001 2134732 005 2021-10-27 008 2021 bl uuuu u00u1 u #d 020 $a978-65-87380-50-6 100 1 $aBITENCOURT, I. A. N. 245 $aProdutividade e componentes de produção do milho-verde solteiro e consorciado com plantas de cobertura.$h[electronic resource] 260 $aIn: JORNADA DE INICIAÇÃO À PESQUISA DA EMBRAPA, 2021, Dourados. Resumos. Brasília, DF: Embrapa, 2021. JIPE 2021$c2021 650 $aMilho 650 $aMilho Verde 653 $aCultivo consorciado 700 1 $aDRUZIANI, C. C. 700 1 $aAMORIM, A. dos S. 700 1 $aCOMUNELLO, E. 700 1 $aGARCIA, R. A. 700 1 $aMOTTA, I. de S.
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Embrapa Agropecuária Oeste (CPAO) |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
11/11/2021 |
Data da última atualização: |
11/11/2021 |
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. |
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. |
Título: |
Modelling integrated crop-livestock systems: preliminary results from an agroecosystem model. |
Ano de publicação: |
2021 |
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. |
Palavras-Chave: |
Agriculture (Soybean); Integrated crop-livestock systems; Intensification; Modelagem; Pasture; Sistemas integrados lavoura-pecuária. |
Thesagro: |
Agricultura; Pastagem; Soja. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227705/1/PC-Modeling-integrated-crop-WCCLF-2021.pdf
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Marc: |
LEADER 02435nam a2200337 a 4500 001 2136082 005 2021-11-11 008 2021 bl uuuu u00u1 u #d 020 $a978-65-994135-4-4 100 1 $aDIAS, H. B. 245 $aModelling integrated crop-livestock systems$bpreliminary results from an agroecosystem model.$h[electronic resource] 260 $aIn: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. Proceedings reference. Brasília, DF: Embrapa, 2021. p. 782-787.$c2021 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 650 $aPastagem 650 $aSoja 653 $aAgriculture (Soybean) 653 $aIntegrated crop-livestock systems 653 $aIntensification 653 $aModelagem 653 $aPasture 653 $aSistemas integrados lavoura-pecuária 700 1 $aCUADRA, S. V. 700 1 $aFIGUEIREDO, G. K. D. A. 700 1 $aLAMPARELLI, R. A. C. 700 1 $aSILVA, L. E. A. 700 1 $aSILVA, Y. F. da 700 1 $aMORO, E. 700 1 $aALVES, M. R. 700 1 $aMAGALHÃES, P. S. G.
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