<?xml version="1.0" encoding="UTF-8"?><article>
  <title>Genetic Analysis of Traits in Indian Mustard Using Additive-Dominance Model</title>

      <doi>https://doi.org/10.21276/AATCCReview.2025.13.01.266</doi>
  
  <authors>
      </authors>

      <abstract><![CDATA[<p>The study investigates the genetic basis of key traits in Indian mustard (Brassica juncea) using<br />
the additive-dominance model, with a focus on genotype × environment interactions. Conducted<br />
over two Rabi seasons (2021-22 and 2022-23) at Sri Karan Narendra College of Agriculture,<br />
Rajasthan, the research involved ten genetically diverse mustard genotypes crossed in a 10 × 10<br />
half-diallel mating design. The parents and F 1 hybrids were evaluated under three sowing<br />
conditions to simulate different environmental scenarios. Significant genotypic, environmental,<br />
and genotype × environment interactions were observed for various traits, including days to<br />
flowering, plant height, siliquae per plant, and seed yield per plant. Diallel analysis revealed the<br />
suitability of the additive-dominance model for several traits, with both additive and dominant<br />
genetic effects playing substantial roles. Dominance gene action predominated for most traits,<br />
with overdominance observed for plant height, seed yield, and siliqua length. Genetic diversity<br />
among parents was evident, with specific genotypes showing dominance for traits like early<br />
flowering, plant height, and seed yield. These findings provide valuable insights into the genetic<br />
architecture of mustard traits and offer strategies for improving yield, stress tolerance, and<br />
adaptability in mustard breeding programs, ensuring better productivity in varying<br />
environmental conditions.</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.2025.13.01.266" target="_blank">https://doi.org/10.21276/AATCCReview.2025.13.01.266</a>
        </div><div class="aatcc-abstract-section">
                <h3>Abstract</h3>
                <div class="aatcc-abstract-text"><p>The study investigates the genetic basis of key traits in Indian mustard (Brassica juncea) using<br />
the additive-dominance model, with a focus on genotype × environment interactions. Conducted<br />
over two Rabi seasons (2021-22 and 2022-23) at Sri Karan Narendra College of Agriculture,<br />
Rajasthan, the research involved ten genetically diverse mustard genotypes crossed in a 10 × 10<br />
half-diallel mating design. The parents and F 1 hybrids were evaluated under three sowing<br />
conditions to simulate different environmental scenarios. Significant genotypic, environmental,<br />
and genotype × environment interactions were observed for various traits, including days to<br />
flowering, plant height, siliquae per plant, and seed yield per plant. Diallel analysis revealed the<br />
suitability of the additive-dominance model for several traits, with both additive and dominant<br />
genetic effects playing substantial roles. Dominance gene action predominated for most traits,<br />
with overdominance observed for plant height, seed yield, and siliqua length. Genetic diversity<br />
among parents was evident, with specific genotypes showing dominance for traits like early<br />
flowering, plant height, and seed yield. These findings provide valuable insights into the genetic<br />
architecture of mustard traits and offer strategies for improving yield, stress tolerance, and<br />
adaptability in mustard breeding programs, ensuring better productivity in varying<br />
environmental conditions.</p>
</div>
            </div><div class="aatcc-pdf-wrap">
            <a class="aatcc-pdf-btn" href="https://aatcc.peerjournals.net/wp-content/uploads/2025/04/Genetic-Analysis-of-Traits-in-Indian-Mustard-Using-Additive-Dominance-Model.pdf" target="_blank">View / Download PDF</a>
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</article>
