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Table 1. Averaged mean and root mean square differences, calculated for<br />

pF-curves of different tillage treatments<br />

MD RMD<br />

m 3 /m 3 m 3 /m 3<br />

NT_03 0.003 0.025<br />

NT_06 0.008 0.021<br />

NT_08 -0.004 0.029<br />

NT_10 -0.004 0.024<br />

P_03 0.004 0.040<br />

P_06 0.003 0.026<br />

P_08 0.002 0.027<br />

P_10 -0.002 0.025<br />

LP_03 0.000 0.028<br />

LP_06 0.021 0.034<br />

LP_08 0.034 0.037<br />

LP_10 0.012 0.024<br />

MD RMD<br />

m 3 /m 3 m 3 /m 3<br />

D_03 0.035 0.048<br />

D_06 0.038 0.044<br />

D_08 0.029 0.036<br />

D_10 0.012 0.025<br />

LD_03 0.017 0.030<br />

LD_06 0.038 0.047<br />

LD_08 0.020 0.028<br />

LD_10 0.018 0.026<br />

Table 2. Mean and root mean square differences, calculated for the pF-curves of<br />

each sampled soil layer of the ploughing treatment<br />

MD RMD<br />

m 3 /m 3 m 3 /m 3<br />

P_03 0.005 0.036<br />

P_06 0.003 0.023<br />

P_08 0.005 0.026<br />

P_10 -0.003 0.031<br />

CONCLUSIONS<br />

The formula, proposed by Sobczuk and Walczak (1996), used in this paper<br />

allows estimation of soil water retention curves of tilled soils from bulk and<br />

particle densities, which are more easy and quick to measure. Using this method<br />

the seasonal variability of the bulk density of a previously examined soil unit can<br />

be translated into the hydraulic properties variability, avoiding time consuming<br />

measurements of the latter ones. Thus, dataset, required for the development of the<br />

soil water balance simulation models to consider the seasonal variability of the soil<br />

hydraulic properties, can be constructed.<br />

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