| Summary: | Spatial variability of soil properties at the field scale can determine the extent of agricultural yields and specific research in this area is needed. The general objective of this study was to investigate the relationships between soil physical and hydraulic properties and wheat yield at the field scale and test the BEST-procedure for the spatialization of soil hydraulic properties. A simplified version of the BEST-procedure, to estimate some capacitive indicators from the soil water retention curve (air capacity, <i>ACe</i>, relative field capacity, <i>RFCe</i>, plant available water capacity, <i>PAWCe</i>), was applied and coupled to estimates of structure stability index (<i>SSI</i>), determinations of soil texture and measurements of bulk density (<i>BD</i>), soil organic carbon (<i>TOC</i>) and saturated hydraulic conductivity (<i>Ks</i>). Variables under study were spatialized to investigate correlations with observed medium-high levels of wheat yields. Soil physical quality assessment and correlations analysis highlighted some inconsistencies (i.e., a negative correlation between <i>PAWCe</i> and crop yield), and only five variables (i.e., <i>clay + silt</i> fraction, <i>BD</i>, <i>TOC</i>, <i>SSI</i> and <i>PAWCe</i>) were spatially structured. Therefore, for the soil−crop system studied, application of the simplified BEST-procedure did not return completely reliable results. Results highlighted that (i) <i>BD</i> was the only variable selected by stepwise analysis as a function of crop yield, (ii) <i>BD</i> showed a spatial distribution in agreement with that detected for crop yield, and (iii) the cross-correlation analysis showed a significant positive relationship between <i>BD</i> and wheat yield up to a distance of approximately 25 m. Such results have implications for Mediterranean agro-environments management. In any case, the reliability of simplified measurement methods for estimating soil hydraulic properties needs to be further verified by adopting denser measurements grids in order to better capture the soil spatial variability. In addition, the temporal stability of observed spatial relationships, i.e., between <i>BD</i> or soil texture and crop yields, needs to be investigated along a larger time interval in order to properly use this information for improving agronomic management.
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