CRISP (crayfish and rice integrated system of production): 1. Modelling rice (Oryza sativa) growth and production

Detalhes bibliográficos
Autor(a) principal: Anastácio, P. M.
Data de Publicação: 1999
Outros Autores: Frias, A. F., Marques, J. C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/5459
https://doi.org/10.1016/S0304-3800(99)00164-7
Resumo: A ecological sub-model for rice growth, adapted to the culture processes used in the lower Mondego river valley (Portugal), is presented. The structure of the model is based on the production of carbohydrates by the photosynthesis. Parallel structures were used to simulate the development stage of the crop, and the tillering process. The model is composed of 11 state variables, 14 forcing functions, 22 rate processes, 9 parameters and 17 switches, regulatory processes and calculated values. Simulations were performed for periods ranging from January 1995 to October 1996. During this period the simulation results were compared with data on aerial rice biomass and also on the tiller density. In addition, the simulated final rice production parameters were compared with the observed values for both years. It can be stated that the model performs well in what regards prediction of final production parameters but it underestimated rice biomass during the growth period. Although at this stage the model is mainly directed towards research, the final purpose is the management of crayfish and rice production. In order to achieve this aim, it will be necessary to couple several sub-models.
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spelling CRISP (crayfish and rice integrated system of production): 1. Modelling rice (Oryza sativa) growth and productionOryza sativaIntegrated productionCrayfishProcambarus clarkiiA ecological sub-model for rice growth, adapted to the culture processes used in the lower Mondego river valley (Portugal), is presented. The structure of the model is based on the production of carbohydrates by the photosynthesis. Parallel structures were used to simulate the development stage of the crop, and the tillering process. The model is composed of 11 state variables, 14 forcing functions, 22 rate processes, 9 parameters and 17 switches, regulatory processes and calculated values. Simulations were performed for periods ranging from January 1995 to October 1996. During this period the simulation results were compared with data on aerial rice biomass and also on the tiller density. In addition, the simulated final rice production parameters were compared with the observed values for both years. It can be stated that the model performs well in what regards prediction of final production parameters but it underestimated rice biomass during the growth period. Although at this stage the model is mainly directed towards research, the final purpose is the management of crayfish and rice production. In order to achieve this aim, it will be necessary to couple several sub-models.http://www.sciencedirect.com/science/article/B6VBS-3XM2SN8-3/1/0928586173a12bd8c52305d2f39f1e561999info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/5459http://hdl.handle.net/10316/5459https://doi.org/10.1016/S0304-3800(99)00164-7engEcological Modelling. 123:1 (1999) 17-28Anastácio, P. M.Frias, A. F.Marques, J. C.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-11-06T16:48:32Zoai:estudogeral.uc.pt:10316/5459Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:55:30.736368Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv CRISP (crayfish and rice integrated system of production): 1. Modelling rice (Oryza sativa) growth and production
title CRISP (crayfish and rice integrated system of production): 1. Modelling rice (Oryza sativa) growth and production
spellingShingle CRISP (crayfish and rice integrated system of production): 1. Modelling rice (Oryza sativa) growth and production
Anastácio, P. M.
Oryza sativa
Integrated production
Crayfish
Procambarus clarkii
title_short CRISP (crayfish and rice integrated system of production): 1. Modelling rice (Oryza sativa) growth and production
title_full CRISP (crayfish and rice integrated system of production): 1. Modelling rice (Oryza sativa) growth and production
title_fullStr CRISP (crayfish and rice integrated system of production): 1. Modelling rice (Oryza sativa) growth and production
title_full_unstemmed CRISP (crayfish and rice integrated system of production): 1. Modelling rice (Oryza sativa) growth and production
title_sort CRISP (crayfish and rice integrated system of production): 1. Modelling rice (Oryza sativa) growth and production
author Anastácio, P. M.
author_facet Anastácio, P. M.
Frias, A. F.
Marques, J. C.
author_role author
author2 Frias, A. F.
Marques, J. C.
author2_role author
author
dc.contributor.author.fl_str_mv Anastácio, P. M.
Frias, A. F.
Marques, J. C.
dc.subject.por.fl_str_mv Oryza sativa
Integrated production
Crayfish
Procambarus clarkii
topic Oryza sativa
Integrated production
Crayfish
Procambarus clarkii
description A ecological sub-model for rice growth, adapted to the culture processes used in the lower Mondego river valley (Portugal), is presented. The structure of the model is based on the production of carbohydrates by the photosynthesis. Parallel structures were used to simulate the development stage of the crop, and the tillering process. The model is composed of 11 state variables, 14 forcing functions, 22 rate processes, 9 parameters and 17 switches, regulatory processes and calculated values. Simulations were performed for periods ranging from January 1995 to October 1996. During this period the simulation results were compared with data on aerial rice biomass and also on the tiller density. In addition, the simulated final rice production parameters were compared with the observed values for both years. It can be stated that the model performs well in what regards prediction of final production parameters but it underestimated rice biomass during the growth period. Although at this stage the model is mainly directed towards research, the final purpose is the management of crayfish and rice production. In order to achieve this aim, it will be necessary to couple several sub-models.
publishDate 1999
dc.date.none.fl_str_mv 1999
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/5459
http://hdl.handle.net/10316/5459
https://doi.org/10.1016/S0304-3800(99)00164-7
url http://hdl.handle.net/10316/5459
https://doi.org/10.1016/S0304-3800(99)00164-7
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ecological Modelling. 123:1 (1999) 17-28
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eu_rights_str_mv openAccess
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