A modelling assessment of the maize crop growth, yield and soil water dynamics in the Northeast of Brazil

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorFederal University of Viçosa-
Autor(es): dc.contributorFederal University of Alagoas-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorFederal Rural University of Rio de Janeiro-
Autor(es): dc.creatorSantos, Marshall Victor Chagas-
Autor(es): dc.creatorde Carvalho, André Luiz-
Autor(es): dc.creatorde Souza, José Leonaldo-
Autor(es): dc.creatorda Silva, Mauricio Bruno Prado [UNESP]-
Autor(es): dc.creatorMedeiros, Rui Palmeira-
Autor(es): dc.creatorJunior, Ricardo Araújo Ferreira-
Autor(es): dc.creatorLyra, Gustavo Bastos-
Autor(es): dc.creatorTeodoro, Iêdo-
Autor(es): dc.creatorLyra, Guilherme Bastos-
Autor(es): dc.creatorLemes, Marco Antonio Maringolo-
Data de aceite: dc.date.accessioned2022-08-04T22:08:49Z-
Data de disponibilização: dc.date.available2022-08-04T22:08:49Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2020-06-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.21475/ajcs.20.14.06.p1410-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/221521-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/221521-
Descrição: dc.descriptionThe present study aims to evaluate the APSIM-Maize model performance to use it as a decision-making tool to help improve production rates, reduce production costs and assess the potential impacts of climate change on crop yields in the Northeast of Brazil. The crop, soil and weather data used in the simulations were obtained from field experiments carried out in maize crops in 2008 and 2011 in two different edaphoclimatic regions in Alagoas State, Northeast Brazil. The approach we used explored the ability of APSIM to simulate growth variables and soil water dynamics of a maize variety (AL Bandeirante). During parametrization, we made some adjustments regarding the variety and soil organic matter to attain a better representation of the growth and soil water dynamics, respectively. The APSIM-Maize model predicted the leaf area index with a RMSE (Root Mean Square Error) ranging between 0.14 and 1.06 cm2 cm-2 and the biomass production with an RMSE between 2.30 and 3.34 Mg ha-1. The volumetric soil water content was satisfactorily predicted with RMSE ranging between 0.02 and 0.08 mm mm-1. Results showed that this model is a useful tool for decision-making, which can be potentially used as a support in climate risk management and policies, aiming to improve regional production, provided it has been previously validated with independent datasets.-
Descrição: dc.descriptionDepartment of Agricultural Engineering Federal University of Viçosa-
Descrição: dc.descriptionDepartment of Agrometeorology Federal University of Alagoas-
Descrição: dc.descriptionDepartment of Rural Engineering São Paulo State University-
Descrição: dc.descriptionDepartment of Meteorology and Climatology Federal Rural University of Rio de Janeiro-
Descrição: dc.descriptionDepartment of Rural Engineering São Paulo State University-
Formato: dc.format897-904-
Idioma: dc.languageen-
Relação: dc.relationAustralian Journal of Crop Science-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAgricultural systems-
Palavras-chave: dc.subjectAPSIM-
Palavras-chave: dc.subjectCrop simulation model-
Palavras-chave: dc.subjectField experiment-
Palavras-chave: dc.subjectSowing date-
Palavras-chave: dc.subjectZea mays l-
Título: dc.titleA modelling assessment of the maize crop growth, yield and soil water dynamics in the Northeast of Brazil-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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