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1. Identificação
Tipo de ReferênciaRelatório (Report)
Sitemtc-m12.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZ3r59YD6/GLFas
Repositóriosid.inpe.br/iris@1912/2005/07.16.00.14.21
Última Atualização2015:11.03.13.24.14 (UTC) marciana
Repositório de Metadadossid.inpe.br/iris@1912/2005/07.16.00.14.28
Última Atualização dos Metadados2021:02.24.02.57.44 (UTC) administrator
Número do RelatórioINPE-1488-RPE/034
Rótulo165
Chave de CitaçãoChenFons:1979:CoYiMo
TítuloCorn yield model for Ribeirão Preto, São Paulo State, Brazil
Ano1979
Data de Acesso12 maio 2024
TipoRPQ
Número de Páginas14
Número de Arquivos1
Tamanho343 KiB
2. Contextualização
Autor1 Chen, Sherry Chou
2 Fonseca, Lourdes Bernadete da
Grupo1 DSR-INPE-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mailchouchen47@gmail.com
InstituiçãoINPE
CidadeSao Jose dos Campos
Histórico (UTC)2005-07-16 00:14:29 :: administrator -> jefferson ::
2010-07-07 19:05:36 :: jefferson -> administrator ::
2012-10-12 00:44:57 :: administrator -> marciana :: 1979
2015-11-26 15:53:00 :: marciana -> administrator :: 1979
2021-02-24 02:57:44 :: administrator -> simone :: 1979
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveDIRA-Ribeirão Preto
soil moisture
corn yield model
stepwise multiple regression
ResumoThe weather and technology effects on corn (Zea mays L.) yield in the district of Ribeirão Preto were studied by a correlation analysis. The most important monthly meteorological factor affecting corn yield is total evaporation, which has significant correlation coefficients in five of the six study months. All meteorological factors used for analysis are significant in December, indicating that this is the critical month for corn production. Technology improvement during the period 1957 to 1975 also plays a significant role in corn yield and explains more than 45% of yield variation. The best yield-weather technology (YWT) model for corn yield prediction employs the summation of relative humidity from October to March, and technology trend as independent variables (predictors). The regression equation of the YWT model, based on the data period of 1957-1975, is relatively stable and the prediction errors range from 1.97% to 4.32% when extrapolating to independent test years after 1975. However, prediction accuracy of the - model for a current crop year may be improved by including all the available historic data to the preceding year of forecasting in calculating the regression coefficients. According to the test results, the predicted yield for 1979 is 2527.89 kg/ha, if the summation of relative humidity between October and March is equal to the average of the same term from 1957 to 1978. Each 1% increase or decrease from the average will result in a +- 17.18 kg/ha change in yield. The VWT model gives accurate com yield information and more importantly pre-dates the available official estimate by at least 3 months.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Corn yield model...
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Conteúdo da Pasta source
publicacao.pdf 16/09/2015 15:23 335.0 KiB 
Conteúdo da Pasta agreement
TERMO ASSINADO SHERRY.pdf 03/11/2015 11:24 1.2 MiB
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GLFas
URL dos dados zipadoshttp://urlib.net/zip/6qtX3pFwXQZ3r59YD6/GLFas
Idiomaen
Grupo de Usuáriosadministrator
marciana
Visibilidadeshown
Licença de Direitos Autoraisurlib.net/www/2012/11.12.15.10
Detentor da CópiaSID/SCD
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Acervo Hospedeirosid.inpe.br/banon/2001/04.06.10.52
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber contenttype creatorhistory date descriptionlevel dissemination doi edition electronicmailaddress format isbn issn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup recipient resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype session shorttitle sponsor subject targetfile tertiarymark tertiarytype translator url versiontype
7. Controle da descrição
e-Mail (login)simone
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