Modelagem Agrometeorológica Para Estimativa De Produtividade De Soja Para O Vale Do Médio Paranapanema-Sp

Silva-Fuzzo, Daniela Fernanda da; Prela-Pantano, Angélica; Camargo, Marcelo Bento Paes de

doi:10.15809/irriga.2015v20n3p490

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Studies have been developed with TRMM precipitation data, applying them in several areas, such as drought monitoring (Du et al, 2013;Zhang & Jia, 2013;Li et al, 2013;Leivas et al, 2014, Santos et al, 2017, productivity (Silva-Fuzzo et al, 2015), weather forecast (Ferreira et al, 2012), hydrological models (Xue et al, 2013;Li et al, 2012;Tuo et al, 2016;Wang, et al, 2016), rain estimation (Soares et al, 2016), evapotranspiration (Mateos et al, 2013), incidence of fire (Alves & PerezCabello, 2017) and characterization of groundwater.…”

Section: Introductionmentioning

confidence: 99%

Climatological Water Balance With Data Estimated by Tropical Rainfall Measuring Mission for the Doce River Basin

2018

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The Climatic Water Balance (CLIMWB) is very used in the climatic characterization and can also offer important contribution in the identification of the water demand for irrigation of a region. For this, reliable precipitation data with good spatial coverage is required. The Tropical Rainfall Measuring Mission satellite -TRMM-3B43-v7 is a partnership between NASA (National Aeronautics and Space Administration) and Japan's Aerospace Exploration Agency (JAXA), which estimates rainfall data for the tropics region. The aim of this study is to evaluate the CLIMWB obtained by the Thornthwaite & Mather method (1955), with estimated rainfall data with the 3B43 product versus those generated with rainfall data and to map pixel-by-pixel water availability with good spatial coverage for the Doce River basin, located in the Atlantic Hydrographic Region, Southeastern Brazil, between the states of Minas Gerais and Espírito Santo. The CLIMWB variables generated with 3B43, together with the precipitation, showed a good correlation with those fed with surface rainfall data. The largest differences between the two datasets were found in some stations in the southeast and northeast of the basin. The CLIMWB variables presented a good correlation, with the best water excess (0.94), followed by water deficit (0.88), water availability (0.84) and real evapotranspiration (0.82). With TRMM -3B43, we can characterize the CLIMWB in a similar way to that obtained with data observed by the gauges, providing much more extensive coverage. The use of the TRMM -3B43 precipitation data allows a consistent characterization of the regional water availability, contributing to the agricultural planning and management, mainly to fill the gaps left due to the absence of rain gauges and to possible failures in the rain gauges' data series.

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Section: Introductionmentioning

confidence: 99%

Climatological Water Balance With Data Estimated by Tropical Rainfall Measuring Mission for the Doce River Basin

2018

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Produtividade de soja em consequência do atraso da colheita e de condições ambientais

Tsukahara

Fonseca

Silva

et al. 2016

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar o efeito do atraso da colheita sobre umidade dos grãos, massa de mil grãos e produtividade da soja, assim como identificar as variáveis agrometeorológicas mais importantes durante o período pré-colheita e propor algoritmos empíricos para a estimativa das perdas de produtividade. Os experimentos foram realizados em Castro, PR, e Itaberá, SP, nas safras de 2011/2012 a 2013/2014, da cultivar de soja 'NA5909RG', em sete ambientes. Os tratamentos consistiram de oito momentos de colheita de soja a partir do estádio fenológico R8.2. A análise de grupos de experimentos mostrou interação significativa entre ambientes e momentos de colheita. A umidade e a produção de grãos são influenciadas diretamente pelo número de dias com precipitação pluvial igual ou superior a 3 mm. No estádio fenológico R8.2, são obtidos os maiores valores de produtividade; no entanto, após esse estádio, há declínio da produtividade em consequência do atraso da colheita. As maiores perdas acumuladas de produtividade ocorrem em ambientes com alta frequência de precipitações pluviais e com temperatura e radiação solar global elevadas. Dois algoritmos com base em variáveis agrometeorológicas são propostos para a estimativa da perda de produtividade de soja.Termos para indexação: Glycine max, pré-colheita, precipitação pluvial, radiação solar. Soybean yield as a consequence of harvest delay and environmental conditionsAbstract -The objective of this work was to evaluate the effect of harvest delay on grain moisture, thousand grain weight, and soybean productivity, as well as to identify the most important meteorological variables during pre-harvest and to propose empirical algorithms to estimate soybean yield losses. The experiments were carried out in the municipalities of Castro, in the state of Paraná, and of Itaberá, in the state of São Paulo, Brazil, in the seasons from 2011/2012 to 2013/2014, with the soybean cultivar 'NA5909RG', in seven environments. Treatments consisted of eight harvest times of soybean after phenological stage R8.2. The analysis of group of experiments showed a significant interaction between environments and harvest times. Grain moisture and grain yield are directly affected by the number of days with rainfall equal to or higher than 3 mm. At the R8.2 phenological stage, the highest values of productivity are obtained; however, after this stage, there is a decline of productivity as a consequence of harvest delay. The greatest, accumulated losses of productivity occur in environments with high frequency of rainfall, and high temperature and solar radiation. Two algorithms based on agrometeorological variables are proposed to estimate soybean yield loss.Index terms: Glycine max, pre-harvest, rainfall, solar radiation. IntroduçãoO período pré-colheita, que se inicia na maturação fisiológica dos grãos e se estende até a operação de colheita, pode ser considerado como uma das etapas mais críticas dentro do processo de produção, em razão da suscetibilidade dos aspectos quantitativos, ...

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Relação entre desmatamento e precipitação nos municípios de Nova Ubiratã – MT e São Felix do Araguaia - MT na bacia do Alto Xingu

Levyman

Gregório

Fuzzo

et al. 2017

Os Desafios Da Geografia Física Na Fronteira Do Conhecimento

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Modelagem Agrometeorológica Para Estimativa De Produtividade De Soja Para O Vale Do Médio Paranapanema-Sp

Cited by 3 publications

References 11 publications

Climatological Water Balance With Data Estimated by Tropical Rainfall Measuring Mission for the Doce River Basin

Climatological Water Balance With Data Estimated by Tropical Rainfall Measuring Mission for the Doce River Basin

Produtividade de soja em consequência do atraso da colheita e de condições ambientais

Relação entre desmatamento e precipitação nos municípios de Nova Ubiratã – MT e São Felix do Araguaia - MT na bacia do Alto Xingu

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