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Ghiberto,Pablo Javier; Imhoff,Silvia; Libardi,Paulo Leonel; Silva,Álvaro Pires da; Tormena,Cassio Antonio; Pilatti,Miguel Ángel. |
Indicators synthesizing the state of the structural quality and the function of the porous system are useful for assessing soil production capacity as well as the way it may serve natural ecosystems. This research aimed (i) to determine indicators of the state and function of the porous system, (ii) to use them to derive a global index to characterize the soil physical quality, and iii) to establish a reference pore-size distribution curve for Mollisols from the province of Santa Fe (Argentina). Sixty water retention curves (WRC) of A and B horizons of Mollisols, with clay varying between 119 and 538 g kg−1, organic matter between 5 and 40 g kg−1, and soil bulk density between 1.09 and 1.49 Mg m−3, were used. The indicators measured were: pore size... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Water release curve; Silty-loam; Macropore; Soil management. |
Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000200167 |
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Fernandes,Carolina; Corá,José Eduardo. |
Change on substrate bulk density during the growing period may negatively affect other substrate physical properties and, consequently, plant growth. The objectives of this research were 1) to characterize physical properties of two horticultural substrates (S1 and S2), 2) to evaluate the effect of different bulk densities values of those substrates on their air/water relationship, and 3) to develop mathematical functions to estimate the air/water relationship by increasing substrates bulk density value. First, the distribution of particles size, the bulk density, and the water release curve of the substrates were determined. Then, substrates were packed with three different bulk density values, i.e. 10% (D1), 20% (D2) and 30% (D3), higher than the bulk... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Particle size distribution; Substrate bulk density; Water release curve; Regression equation. |
Ano: 2004 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000400015 |
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