Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 6
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Comparing two versions of a non-linear model for simulating leaf number and developmental stages in maize based on air temperature Ciência Rural
Streck,Nereu Augusto; Gabriel,Luana Fernandes; Samboranha,Flavia Kaufmann; Lago,Isabel; Schwantes,Ana Paula; Schons,Alfredo.
The Wang and Engel (WE) model simulates crop development considering the non-linear response of plant development to temperature. Daily air temperature is the input for the temperature response function [f(T)] in the WE model, and because there are several approaches for computing daily temperatures, there are several ways to calculate the f(T). The objective of this study was to compare two versions of the WE model for simulating leaf number and developmental stages in maize, considering two approaches for imputing daily air temperature (daily mean air temperature and daily minimum/maximum air temperature). A two-year field experiment with the maize variety BRS Missões sown in several sowing dates was conducted in Santa Maria, Rio Grande do Sul State,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Crop models; Zea mays; Leaf number; Phenology.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782009000300003
Imagem não selecionada

Imprime registro no formato completo
Maize yield and rainfall on different spatial and temporal scales in Southern Brazil Repositório Alice
BERGAMASCHI, H.; WHEELER, T.R.; CHALLINOR, A.J.; COMIRAN, F.; HECKLER, B.M.M..
This study aimed to establish relationships between maize yield and rainfall on different temporal and spatial scales, in order to provide a basis for crop monitoring and modelling. A 16-year series of maize yield and daily rainfall from 11 municipalities and micro-regions of Rio Grande do Sul State was used. Correlation and regression analyses were used to determine associations between crop yield and rainfall for the entire crop cycle, from tasseling to 30 days after, and from 5 days before tasseling to 40 days after. Close relationships between maize yield and rainfall were found, particularly during the reproductive period (45-day period comprising the flowering and grain filling). Relationships were closer on a regional scale than at smaller scales....
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Zea mays; Rainfall; Water deficit; Crop models; Critical period; Chuva; Deficit hídrico; Modelagem; Período crítico.
Ano: 2007 URL: http://www.alice.cnptia.embrapa.br/handle/doc/126141
Imagem não selecionada

Imprime registro no formato completo
Maize yield and rainfall on different spatial and temporal scales in Southern Brazil PAB
Bergamaschi,Homero; Wheeler,Timothy Robert; Challinor,Andrew Juan; Comiran,Flávia; Heckler,Bruna Maria Machado.
This study aimed to establish relationships between maize yield and rainfall on different temporal and spatial scales, in order to provide a basis for crop monitoring and modelling. A 16-year series of maize yield and daily rainfall from 11 municipalities and micro-regions of Rio Grande do Sul State was used. Correlation and regression analyses were used to determine associations between crop yield and rainfall for the entire crop cycle, from tasseling to 30 days after, and from 5 days before tasseling to 40 days after. Close relationships between maize yield and rainfall were found, particularly during the reproductive period (45-day period comprising the flowering and grain filling). Relationships were closer on a regional scale than at smaller scales....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Zea mays; Rainfall; Water deficit; Crop models; Critical period.
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2007000500001
Imagem não selecionada

Imprime registro no formato completo
Physiological model to estimate the maturity of sugarcane Scientia Agricola
Scarpari,Maximiliano Salles; Beauclair,Edgar Gomes Ferreira de.
Sugarcane (Saccharum spp.) grows in different weather and management conditions which directly affect crop maturation. These conditions lead to the necessity of quantifying crop response to different stimuli for planning purposes. Forecast models for the quality of raw material are important tools in sugarcane farming, especially the forecast curve of sucrose accumulation in shoots. The goal of these models is to supply yield estimates during the crop cycle, aiming to characterize alternatives and to increase the efficacy for management and strategic decisions. The objective of this project was to develop empiric models capable of obtaining estimates of total recoverable sugar (TRS), for the varieties RB72454, SP81-3250 and SP80-1842 during the crop cycle,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Climatology; Crop models; Productivity; Regression; Sucrose.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000500006
Imagem não selecionada

Imprime registro no formato completo
Sensitivity of the sorghum yield to individual changes in climate parameters: modelling based approach Bragantia
Grossi,Marine Cirino; Justino,Flávio; Rodrigues,Rafael de Ávila; Andrade,Camilo Lelis Teixeira.
Based on sensitivity analyses the effect of changing in climate on sorghum has been investigated. This has been achieved by conducting crop modeling experiments carried out with weather observations and output of global climate models. As can be anticipated results demonstrated that the sorghum yield is more sensitive to rainfall, solar radiation and CO2 concentration. However, the increase in CO2 concentration has a positive effect on yield in years that the crop is submitted to water stress. This effect is extremely reduced under well watered conditions and therefore is subject to the climate inter-annual variability. Accumulated solar radiation along the sorghum cycle below 1900 MJ m–2 has also been shown to reduce the yield. Compared to other weather...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Climate change; Crop models; Sensitivity analyses; CO2 concentration; Productivity.
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052015000300341
Imagem não selecionada

Imprime registro no formato completo
Uso do modelo STICS para avaliar os impactos das mudanças climáticas sobre a produção de grãos de milho no cerrado brasileiro. Repositório Alice
SILVA, F. A. M. da; AFFHOLDER, F.; CORBEELS, M.; EVANGELISTA, B. A.; MALAQUIAS, J. V..
RESUMO:O Bioma Cerrado, com clima subtropical úmido, é responsável por cerca de 70% da produção agrícola do Brasil. Os principais produtos cultivados são o milho, soja, cana de açúcar e algodão. Previsões de modelos climáticos sugerem que o Cerrado pode experimentar aumento de temperatura entre 2 °C e 4 °C até o final do século e, redução das precipitaçõesentre 20% e 40% em relação aos valores atuais, além de possíveis alterações na sua distribuição ao longo do ano. Estas mudanças podem provocar impactos sobre o setor agrícola. Assim, surge a necessidade urgente de se quantificar com mais segurança os riscos e incertezas envolvidos nos efeitos das mudanças climáticas na produção agrícola. Por isso, o objetivo deste estudo foi o de avaliar o impacto das...
Tipo: Artigo em anais de congresso (ALICE) Palavras-chave: Modelagem de cultura; Produção de grãos; Mudanças climáticas; Previsão do tempo; Plantio direto; Época de semeadura; Milho; Cerrado; Weather forecasting; No-tillage; Sowing date; Corn; Savannas; Brazil; Crop models; Grain yield; Climate change.
Ano: 2015 URL: http://www.alice.cnptia.embrapa.br/handle/doc/1038954
Registros recuperados: 6
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional