<?xml version="1.0" encoding="UTF-8"?><article>
  <title>Comprehensive Analysis of Genetic variability, Trait interactions and Phenotypic diversity in Marigold (Tagetes spp.) genotypes</title>

      <doi>https://doi.org/10.21276/AATCCReview.2025.13.01.71</doi>
  
  <authors>
      </authors>

      <abstract><![CDATA[<p>Marigold (Tagetes spp.) is a popular ornamental plant known for its vibrant flowers. This<br />
study evaluates genetic variability and correlation among key morphological traits affecting<br />
flower yield in 38 marigold genotypes. Significant differences were observed across all traits,<br />
indicating substantial variability within the genotypes while phenotypic coefficient of<br />
variation exceeded genotypic coefficient of variation for all traits, suggesting environmental<br />
influence on trait expression, though genetic factors remained dominant. Heritability<br />
estimates were high for most traits, with number of ray florets per flower exhibiting highest<br />
heritability (99.12%) coupled with highest genetic advance (121.24%), indicating that<br />
selection for this trait is likely to result in substantial genetic improvement. Correlation<br />
analysis revealed significant positive associations between flower yield per plant and traits<br />
such as plant height (0.453), fresh flower weight (0.582), and number of flowers per plant<br />
(0.414) at both genotypic and phenotypic levels. Path coefficient analysis highlighted fresh<br />
flower weight and number of flowers per plant as key determinants of yield, with direct<br />
positive effects of 1.267 and 0.988, respectively at genotypic level. Principal component<br />
analysis identified first three principal components explaining 74.61% of total variability,<br />
with days to flower initiation (PC-I), fresh flower weight and flower diameter (PC-II), and<br />
number of flowers per plant (PC-II) contributing most to observed variation. The study<br />
suggests that selection for these traits, especially fresh flower weight and number of flowers,<br />
could significantly enhance marigold productivity in future crop improvement efforts. It<br />
addresses complexity of trait interactions, offering key insights for genetic improvement.</p>
]]></abstract>
  
  <body><![CDATA[<div class="aatcc-article-container"><div class="aatcc-category-label">Original 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.2025.13.01.71" target="_blank">https://doi.org/10.21276/AATCCReview.2025.13.01.71</a>
        </div><div class="aatcc-abstract-section">
                <h3>Abstract</h3>
                <div class="aatcc-abstract-text"><p>Marigold (Tagetes spp.) is a popular ornamental plant known for its vibrant flowers. This<br />
study evaluates genetic variability and correlation among key morphological traits affecting<br />
flower yield in 38 marigold genotypes. Significant differences were observed across all traits,<br />
indicating substantial variability within the genotypes while phenotypic coefficient of<br />
variation exceeded genotypic coefficient of variation for all traits, suggesting environmental<br />
influence on trait expression, though genetic factors remained dominant. Heritability<br />
estimates were high for most traits, with number of ray florets per flower exhibiting highest<br />
heritability (99.12%) coupled with highest genetic advance (121.24%), indicating that<br />
selection for this trait is likely to result in substantial genetic improvement. Correlation<br />
analysis revealed significant positive associations between flower yield per plant and traits<br />
such as plant height (0.453), fresh flower weight (0.582), and number of flowers per plant<br />
(0.414) at both genotypic and phenotypic levels. Path coefficient analysis highlighted fresh<br />
flower weight and number of flowers per plant as key determinants of yield, with direct<br />
positive effects of 1.267 and 0.988, respectively at genotypic level. Principal component<br />
analysis identified first three principal components explaining 74.61% of total variability,<br />
with days to flower initiation (PC-I), fresh flower weight and flower diameter (PC-II), and<br />
number of flowers per plant (PC-II) contributing most to observed variation. The study<br />
suggests that selection for these traits, especially fresh flower weight and number of flowers,<br />
could significantly enhance marigold productivity in future crop improvement efforts. It<br />
addresses complexity of trait interactions, offering key insights for genetic improvement.</p>
</div>
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            <a class="aatcc-pdf-btn" href="https://aatcc.peerjournals.net/wp-content/uploads/2025/02/Comprehensive-Analysis-of-Genetic-variability-Trait-interactions-and-Phenotypic-diversity-in-Marigold-Tagetes-spp.-genotypes.pdf" target="_blank">View / Download PDF</a>
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