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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Agricultura sostenible</text>
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            <description>An account of the resource</description>
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                <text>Dominio científico: Agricultura sostenible</text>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Thermal Imaging Reliability for Estimating Grain Yield and Carbon Isotope Discrimination in Wheat Genotypes: Importance of the Environmental Conditions</text>
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          <name>Creator</name>
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              <text>Sebastián Romero-Bravo, Ana  María Méndez-Espinoza, Miguel Garriga, Félix Estrada, Alejandro Escobar, Luis González-Martinez, Carlos Poblete-Echeverría, Daniel Sepulveda, Ivan Matus, Dalma Castillo, Alejandro del Pozo, Gustavo  A. Lobos</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Canopy temperature (Tc) by thermal imaging is a useful tool to study plant water status and estimate other crop traits. This work seeks to estimate grain yield (GY) and carbon discrimination (&amp;#916;13C) from stress degree day (SDD = Tc &amp;#8722; air temperature, Ta), considering the effect of a number of environmental variables such as the averages of the maximum vapor pressure deficit (VPDmax) and the ambient temperature (Tmax), and the soil water content (SWC). For this, a set of 384 and a subset of 16 genotypes of spring bread wheat were evaluated in two Mediterranean-climate sites under water stress (WS) and full irrigation (FI) conditions, in 2011 and 2012, and 2014 and 2015, respectively. The relationship between the GY of the 384 wheat genotypes and SDD was negative and highly significant in 2011 (r2 = 0.52 to 0.68), but not significant in 2012 (r2 = 0.03 to 0.12). Under WS, the average GY, &amp;#916;13C, and SDD of wheat genotypes growing in ten environments were more associated with changes in VPDmax and Tmax than with the SWC. Therefore, the amount of water available to the plant is not enough information to assume that a particular genotype is experiencing a stress condition.</text>
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          <name>Date</name>
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              <text>2019</text>
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          <name>Subject</name>
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              <text>&lt;i&gt;Triticum aestivum&lt;/i&gt;, Stress, infrared, phenomics, phenotype, phenotyping, remote sensing, water deficit</text>
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          <name>Identifier</name>
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              <text>10.3390/s19122676</text>
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          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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            <elementText elementTextId="171337">
              <text>Sensors</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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            <elementText elementTextId="171338">
              <text>MDPI AG</text>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Chemical technology</text>
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          <description>A related resource</description>
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              <text>&lt;a href="https://www.mdpi.com/1424-8220/19/12/2676" target="_blank" rel="noreferrer noopener"&gt;https://www.mdpi.com/1424-8220/19/12/2676&lt;/a&gt;</text>
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