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      <creatorName nameType="Personal">Klukas, Christian</creatorName>
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    <title>
      Data from: Dissecting the phenotypic components of crop plant growth and
      drought responses based on high-throughput image analysis
    </title>
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    <subject>high-throughput phenotyping</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Image analysis</subject>
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    <date dateType="Submitted">2014-11-17T10:47:42Z</date>
    <date dateType="Issued">2015-01-21T18:51:54Z</date>
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    <description descriptionType="Abstract">
      Significantly improved crop varieties are urgently needed to feed the
      rapidly growing human population under changing climates. While genome
      sequence information and excellent genomic tools are in place for major
      crop species, the systematic quantification of phenotypic traits or
      components thereof in a high-throughput fashion remains an enormous
      challenge. In order to help bridge the genotype to phenotype gap, we
      developed a comprehensive framework for high-throughput phenotype data
      analysis in plants, which enables the extraction of an extensive list of
      phenotypic traits from nondestructive plant imaging over time. As a proof
      of concept, we investigated the phenotypic components of the drought
      responses of 18 different barley (Hordeum vulgare) cultivars during
      vegetative growth. We analyzed dynamic properties of trait expression over
      growth time based on 54 representative phenotypic features. The data are
      highly valuable to understand plant development and to further quantify
      growth and crop performance features. We tested various growth models to
      predict plant biomass accumulation and identified several relevant
      parameters that support biological interpretation of plant growth and
      stress tolerance. These image-based traits and model-derived parameters
      are promising for subsequent genetic mapping to uncover the genetic basis
      of complex agronomic traits. Taken together, we anticipate that the
      analytical framework and analysis results presented here will be useful to
      advance our views of phenotypic trait components underlying plant
      development and their responses to environmental cues.
    </description>
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      class="o-heading__level3-file-title"&gt;tpc129601_SupplementalData&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;Supplemental Data Sets&lt;/div&gt;&lt;div class="o-metadata__file-name"&gt;&lt;/div&gt;&lt;div class="o-metadata__file-name"&gt;&lt;/div&gt;&lt;/div&gt;
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