2010
DOI: 10.1590/s0006-87052010000500016
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Spatial variability and temporal stability of water storage in a cultivated tropical soil

Abstract: Irrigated agricultural fields usually show variable crop water demand. If water application is done to match this spatially variable demand, the water use efficiency can be substantially improved. Soil water management by irrigation has been one of the most important factors to increase crop yield. To look for the economic viability of the process, the use of several inputs, particularly water, should be done with high efficiency levels. Historically, irrigation uniformity has been evaluated above the soil sur… Show more

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Cited by 6 publications
(8 citation statements)
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“…Therefore, together, this position best expresses an estimate of the average ARM of the experimental area, for both surface conditions. These results are supported by the fact that the ARM has temporal persistence of the spatial pattern during the process of soil drying and the crop does not interfere in this process (GONÇALVES et al, 2010), as it can be seen in the work of Alves et al, (2011); Zhang et al, (2011); Cerqueira et al, (2014); Guimarães et al, (2010); Korres et al, (2015).…”
Section: Resultssupporting
confidence: 68%
See 1 more Smart Citation
“…Therefore, together, this position best expresses an estimate of the average ARM of the experimental area, for both surface conditions. These results are supported by the fact that the ARM has temporal persistence of the spatial pattern during the process of soil drying and the crop does not interfere in this process (GONÇALVES et al, 2010), as it can be seen in the work of Alves et al, (2011); Zhang et al, (2011); Cerqueira et al, (2014); Guimarães et al, (2010); Korres et al, (2015).…”
Section: Resultssupporting
confidence: 68%
“…In general, some soil moisture sensors are installed in the cropped area and the mean values obtained are used as a representative value for the entire area as several studies show that this soil property varies in space and in time. In addition, this variability in space often presents a structure of spatial dependence, as demonstrated by several authors (GONÇALVES et al, 1999;GONÇALVES et al, 2010;VIEIRA et al, 2010;KORRES et al, 2015). To ensure the reliability of a mean value obtained, the number of experimental points must increase with the variability of soil moisture.…”
Section: Introductionmentioning
confidence: 99%
“…Para avaliação da dependência espacial da precipitação provável mensal, foram construídos semivariogramas experimentais. Pode-se observar na Figura 4 que, os meses de janeiro, fevereiro, abril, maio, julho, setembro e dezembro apresentaram estrutura de dependência espacial, possibilitando o ajuste de um único modelo ao conjunto de valores de semivariância (GONÇALVES et al, 2010). O modelo esférico foi adotado por apresentar melhor ajuste aos dados de precipitação (BAÚ et al, 2016;LIMA et al, 2016).…”
Section: Resultsunclassified
“…Essa condição tendo sido corriqueiramente estimada por meio de uma amostragem aleatória de alguns pontos no domínio. No entanto essa estratégia pode gerar resultados insatisfatórios uma vez que θ (GONÇALVES et al, 1999;REZENDE et al, 2002;GONÇALVES et al, 2010;GUIMARÃES et al, 2010;SALVADOR et al, 2012) e a umidade do solo obtida da curva de retenção de água no solo (θCRAS) (MOHANTY; MOUSLI, 2000) pode apresentar variabilidade espacial. Além disso, para que haja uma qualidade na inferência, deve-se adotar grande números de pontos amostrados.…”
Section: Introductionunclassified