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  <title>Unitus DSpace</title>
  <link rel="alternate" href="http://http://dspace.unitus.it:80" />
  <subtitle>The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.</subtitle>
  <id>http://http://dspace.unitus.it:80</id>
  <updated>2013-05-25T21:19:50Z</updated>
  <dc:date>2013-05-25T21:19:50Z</dc:date>
  <entry>
    <title>Analysis of spatial relationships between soil and crop variables in a durum wheat field using a multivariate geostatistical approach</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/1401" />
    <author>
      <name>Casa, Raffaele</name>
    </author>
    <author>
      <name>Castrignanò, Annamaria</name>
    </author>
    <id>http://hdl.handle.net/2067/1401</id>
    <updated>2011-06-30T17:07:06Z</updated>
    <published>2007-12-31T23:00:00Z</published>
    <summary type="text">Title: Analysis of spatial relationships between soil and crop variables in a durum wheat field using a multivariate geostatistical approach
Authors: Casa, Raffaele; Castrignanò, Annamaria
Abstract: For important crop and soil properties, temporal variability is generally higher than spatial variability and the definition of stable low- and&#xD;
high-yield potential zones, for site-specific management, is very difficult.&#xD;
In this study the application of a multivariate geostatistical methodology, factorial kriging analysis (FKA), is proposed for this purpose, allowing&#xD;
simultaneous processing of several layers of information on spatially and temporally variable crop and soil properties.&#xD;
The methodology was applied to measurements carried out in a durum wheat field in Viterbo (Central Italy). Soil properties, plant development&#xD;
and biomass, LAI and normalized difference vegetation index (NDVI) were measured following a grid sampling scheme. Yield components were&#xD;
assessed at the same points at harvest. Coregionalization analysis was carried out and FKA was applied in order to clarify the spatial relationships&#xD;
between the different variables acting at the different scales. The application of FKA to soil, plant and yield properties allowed to discriminate&#xD;
between variables with a different rate of variation, pointing out at those more stable which could be used as a basis to site-specific management.
Description: L'articolo é disponibile sul sito dell'editore: http://www.sciencedirect.com</summary>
    <dc:date>2007-12-31T23:00:00Z</dc:date>
  </entry>
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