caa a22 4500 445864443 CHVBK 20180317145453.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s11119-011-9220-y doi (NATIONALLICENCE)springer-10.1007/s11119-011-9220-y Using apparent soil electrical conductivity (ECa) to characterize vineyard soils of high clay content [Elektronische Daten] [José Rodríguez-Pérez, Richard Plant, Jean-Jacques Lambert, David Smart] The adoption of precision viticulture requires a detailed knowledge of variation in soil chemical, physical and profile properties. This study evaluates the usefulness of apparent electrical conductivity (ECa) data within a GIS framework to identify variations in soil chemical and physical properties and moisture content. The work was conducted in a vineyard located in the Carneros Region (Napa Valley, California). The soil was sampled using 44 boreholes to quantify chemical and physical characteristics and 9 open pits to verify the borehole observations. Moisture content was determined using time domain reflectometry (TDR). To characterize soil ECa, three campaigns were undertaken using a soil electrical conductivity meter (EM38). Linear regressions between soil ECa and soil properties were determined. Boreholes and TDR data were interpolated by kriging to characterize the spatial distribution of soil variables. The resulting maps were compared to the results obtained using the best ECa linear regressions. Using ECa measurements, soil properties like extractable Na+ and Mg2+, clay and sand content were well estimated, while best estimates were obtained for extractable Na+ (r 2=0.770) and clay content (r 2=0.621). The best estimates for soil moisture content corresponded to moisture in the deeper soil horizons (r 2=0.449). The methods described above provided maps of soil properties estimated by ECa in a GIS framework, and could save time and resources during vineyard establishment and management. The Author(s), 2011 Apparent electrical conductivity nationallicence GIS nationallicence Spatial interpolation nationallicence Precision viticulture nationallicence Soil spatial variation nationallicence Rodríguez-Pérez José Geomatics Engineering Research Group, Universidad de León, Avenida de Astorga, s/n, 24400, Ponferrada, Leon, Spain aut Plant Richard Department of Plant Sciences, University of California, One Shields Avenue, 95616, Davis, CA, USA aut Lambert Jean-Jacques Department of Viticulture and Enology, University of California, Robert Mondavi Institute N, 595 Hilgard Lane, 95616, Davis, CA, USA aut Smart David Department of Viticulture and Enology, University of California, Robert Mondavi Institute N, 595 Hilgard Lane, 95616, Davis, CA, USA aut Precision Agriculture Springer US; http://www.springer-ny.com 12/6(2011-12-01), 775-794 1385-2256 12:6<775 2011 12 11119 https://doi.org/10.1007/s11119-011-9220-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11119-011-9220-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rodríguez-Pérez José Geomatics Engineering Research Group, Universidad de León, Avenida de Astorga, s/n, 24400, Ponferrada, Leon, Spain aut NATIONALLICENCE 700 1- Plant Richard Department of Plant Sciences, University of California, One Shields Avenue, 95616, Davis, CA, USA aut NATIONALLICENCE 700 1- Lambert Jean-Jacques Department of Viticulture and Enology, University of California, Robert Mondavi Institute N, 595 Hilgard Lane, 95616, Davis, CA, USA aut NATIONALLICENCE 700 1- Smart David Department of Viticulture and Enology, University of California, Robert Mondavi Institute N, 595 Hilgard Lane, 95616, Davis, CA, USA aut NATIONALLICENCE 773 0- Precision Agriculture Springer US; http://www.springer-ny.com 12/6(2011-12-01), 775-794 1385-2256 12:6<775 2011 12 11119 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer