<?xml version="1.0" encoding="UTF-8"?><article>
  <title>Seed vigour analysis using oxygen sensing technology in Rice (Oryza sativa. L) Genotypes</title>

      <doi>https://doi.org/10.21276/AATCCReview.2024.12.02.77</doi>
  
  <authors>
      </authors>

      <abstract><![CDATA[<p>Seed quality test is most important in agriculture to determine the planting value and to<br />
minimize the hazards of crop production. Quick and reliable vigour tests are required for<br />
supply of quality seed to the farmer. However, most commonly used method for the<br />
evaluation of vigour i.e. germination test is time-consuming and laborious. To rapidly assess<br />
the seed vigour, a Q2 scanner based on Oxygen sensing technology is used. The conventional<br />
vigour testing based on germination and seedling parameters needs a minimum of eight days<br />
for assessment. On the other hand, Q2 analysis provides a fast and accurate single-seed<br />
measurement of oxygen consumption during germination. Oxygen measurement can be used<br />
as it is directly related to seed respiration and energy production. An analysis can take 10 to<br />
72 hours, depending on the species. The result is an easy determination of the metabolic<br />
activity of seeds. Although the Q2 analysis does not provide specific information about<br />
seedling categories in terms of the International Seed Testing Association (ISTA) (normal,<br />
abnormal etc.), it delivers fast and accurate information about homogeneity of seed vigour<br />
linked to oxygen consumption of seed lots. The Q2 analysis can be used to determine<br />
differences between seed lots in comparative trials. Oxygen-sensing technology provides a<br />
fast and automatic measurement of oxygen consumption and respiration efficiency. The<br />
present study is conducted for the evaluation of six rice genotypes for vigour using Q2<br />
Scanner and examined the correlations between the different potential vigour indices.</p>
]]></abstract>
  
  <body><![CDATA[<div class="aatcc-article-container"><div class="aatcc-category-label">Research Article</div><div class="aatcc-meta-box"><div class="aatcc-doi-wrap">
            <a class="aatcc-doi-btn" href="https://doi.org/10.21276/AATCCReview.2024.12.02.77" target="_blank">https://doi.org/10.21276/AATCCReview.2024.12.02.77</a>
        </div><div class="aatcc-abstract-section">
                <h3>Abstract</h3>
                <div class="aatcc-abstract-text"><p>Seed quality test is most important in agriculture to determine the planting value and to<br />
minimize the hazards of crop production. Quick and reliable vigour tests are required for<br />
supply of quality seed to the farmer. However, most commonly used method for the<br />
evaluation of vigour i.e. germination test is time-consuming and laborious. To rapidly assess<br />
the seed vigour, a Q2 scanner based on Oxygen sensing technology is used. The conventional<br />
vigour testing based on germination and seedling parameters needs a minimum of eight days<br />
for assessment. On the other hand, Q2 analysis provides a fast and accurate single-seed<br />
measurement of oxygen consumption during germination. Oxygen measurement can be used<br />
as it is directly related to seed respiration and energy production. An analysis can take 10 to<br />
72 hours, depending on the species. The result is an easy determination of the metabolic<br />
activity of seeds. Although the Q2 analysis does not provide specific information about<br />
seedling categories in terms of the International Seed Testing Association (ISTA) (normal,<br />
abnormal etc.), it delivers fast and accurate information about homogeneity of seed vigour<br />
linked to oxygen consumption of seed lots. The Q2 analysis can be used to determine<br />
differences between seed lots in comparative trials. Oxygen-sensing technology provides a<br />
fast and automatic measurement of oxygen consumption and respiration efficiency. The<br />
present study is conducted for the evaluation of six rice genotypes for vigour using Q2<br />
Scanner and examined the correlations between the different potential vigour indices.</p>
</div>
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            <a class="aatcc-pdf-btn" href="https://aatcc.peerjournals.net/wp-content/uploads/2024/06/Seed-vigour-analysis-using-oxygen-sensing-technology-in-Rice-Oryza-sativa.-L-Genotypes.pdf" target="_blank">View / Download PDF</a>
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