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<article xlink="http://www.w3.org/1999/xlink" mml="http://www.w3.org/1998/Math/MathML" xsi="http://www.w3.org/2001/XMLSchema-instance" ali="http://www.niso.org/schemas/ali/1.0/" noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" article-type="research-article" dtd-version="1.1" lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">isrdo-SRJSET</journal-id><journal-id journal-id-type="pmc">isrdo-SRJSET</journal-id><journal-id journal-id-type="nlm-ta">isrdo-SRJSET</journal-id><journal-title-group><journal-title>Scientific Research Journal of Science, Engineering and Technology</journal-title><abbrev-journal-title abbrev-type="publisher" pub-type="epub">SRJSET</abbrev-journal-title></journal-title-group><issn>2584-0584</issn><publisher><publisher-name>ISRDO</publisher-name><publisher-loc>Gujarat,India</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">M-10449</article-id><article-id pub-id-type="doi"/><article-categories><subj-group subj-group-type="categories"><subject>Biotechnology Engineering</subject></subj-group></article-categories><title-group><article-title>Enhancement of Fish Stocks through Aquaculture Genetics</article-title></title-group><contrib-group content-type="authors"><contrib id="764" contrib-type="author" corresp="yes"><name><given-names>Michel Murwanashyaka</given-names></name><xref ref-type="aff" rid="aff-1">1</xref><aff id="aff-1"><label>0</label><institution>Kibogora polytechnic</institution><country>Rwanda</country></aff></contrib><contrib id="765" contrib-type="author" corresp="yes"><name><given-names>Lihua Jiang</given-names></name><xref ref-type="aff" rid="aff-2">2</xref><aff id="aff-2"><label>1</label><institution>Zhejiang Ocean University</institution><country>China</country></aff></contrib><contrib id="766" contrib-type="author" corresp="yes"><name><given-names>Xiaojun Yan</given-names></name><xref ref-type="aff" rid="aff-3">3</xref><aff id="aff-3"><label>2</label><institution>Zhejiang Ocean University</institution><country>China</country></aff></contrib></contrib-group><contrib-group content-type="editors"><contrib contrib-type="editor"/></contrib-group><pub-date pub-type="epub" data-type="pub" iso-8601-date="2026-04-20"><day>20</day><month>04</month><year iso-8601-date="2">2026</year></pub-date><volume>4</volume><elocation-id>V4-I1-2026</elocation-id><history><date date-type="received" iso-8601-date="2026-02-12"><day>12</day><month>02</month><year iso-8601-date="2026">2026</year></date><date date-type="revised" iso-8601-date="2026-02-12"><day>12</day><month>02</month><year iso-8601-date="2026"/></date><date date-type="accepted" iso-8601-date="2026-02-12"><day>12</day><month>02</month><year iso-8601-date="2026"/></date></history><permissions><copyright-statement>&#xA9;2026 MURWANASHYAKA Michel Year Corresponding Author</copyright-statement><copyright-year>2026</copyright-year><copyright-holder>MURWANASHYAKA Michel</copyright-holder><license href="https://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (ISRDO) and either DOI or URL of the article must be cited.<ext-link ext-link-type="uri" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link></license-p></license></permissions><self-uri href="https://isrdo.org/journal/SRJSET/currentissue/enhancement-of-fish-stocks-through-aquaculture-genetics"/><abstract><p>The growing demand for fish globally&#xD;
underscores the necessity for advancements in aquaculture, where genetics plays&#xD;
a pivotal role. This study investigates how aquaculture genetics can enhance&#xD;
growth rates, disease resistance, and the productivity of key fish species.&#xD;
Genetic improvement programs, including genomic selection, marker-assisted&#xD;
selection, and selective breeding, are essential for accelerating these&#xD;
developments. By leveraging the genetic diversity present in fish populations,&#xD;
these programs aim to promote desirable traits, thereby enhancing the overall&#xD;
quality of fish stocks. Selective breeding, a cornerstore of genetic&#xD;
enhancement, has demonstrated significant potential in increasing growth rates&#xD;
and feed efficiency. Marker-assisted selection enhances this process by&#xD;
identifying specific genetic markers associated with beneficial traits, thus&#xD;
expediting the breeding cycle. At the forefront of these approaches is genomic&#xD;
selection, which utilizes genome-wide data to identify and select individuals&#xD;
with superior genetic potential, yielding unprecedented precision in breeding&#xD;
outcomes. Furthermore, genetic techniques are vital for improving disease&#xD;
resistance in aquaculture. By identifying and disseminating immunity-related&#xD;
alleles, the industry can mitigate the impacts of prevalent diseases, ensuring&#xD;
sustainable fish production. Advances in CRISPR-Cas9 and other gene-editing&#xD;
technologies may further accelerate the development of robust fish strains&#xD;
through targeted genetic modifications. These genetic strategies not only&#xD;
increase production but also promote sustainability by reducing the&#xD;
environmental impact of fish farming and reliance on wild fish populations.&#xD;
This research underscores the necessity of integrating cutting-edge genetic&#xD;
technologies with traditional breeding methods, positioning aquaculture&#xD;
genetics as the foundation for the future of sustainable fish farming.</p></abstract><kwd-group kwd-group-type="author"><kwd>Aquaculture Genetics</kwd><kwd> disease resistance</kwd><kwd> genetic improvement</kwd><kwd> genetic markers</kwd><kwd> fish productivity</kwd></kwd-group><funding-group><funding-statement>This work is supported by the Aquaculture Breeding and Seedling Technology Innovation Center Project of Zhoushan (2025Y001-1), National Key Research and Development Program of China Grants (2023YFD2401900), National Key Research and Development Program of China (2023YFD2401905)</funding-statement></funding-group></article-meta></front><back><sec sec-type="data-availability"><title>Data Availability</title><p>Enquiries about data&#xD;
availability should be directed to the authors.</p></sec><sec sec-type="COI-statement"><title>Conflicts of Interest</title><p>No conflict of interest in the paper</p></sec><sec sec-type="author-contributions"><title>Authors&#x2019; Contributions</title><p>Murwanashyaka Michel: Writing original draft, writing review &amp; editing. &#xD;
Lihua Jiang: Supervision, writing review &amp; editing.&#xD;
Xiaojun Yan:  Supervision, funding acquisition.</p></sec><sec sec-type="funding-statement"><title>Funding Statement</title><p>This work is supported by the Aquaculture Breeding and Seedling Technology Innovation Center Project of Zhoushan (2025Y001-1), National Key Research and Development Program of China Grants (2023YFD2401900), National Key Research and Development Program of China (2023YFD2401905)</p></sec><ack><title>Acknowledgments</title><p>This is to thank Kibogora Polytechnic University, Department of Sciences, PO. BOX 50 Nyamasheke, Rwanda, with its partnership with the National Engineering Research Center of Marine Facilities Aquaculture, Zhejiang Ocean University, Zhoushan, 316022, China.</p></ack><ref-list content-type="authoryear"><ref id="1"><label>1</label><element-citation publication-type="journal"><p>Ajmone M. P, B. P., Licia C, Johanes A.L, . (2023). Genomic characterization of animal genetic resources - Practical guide. Reasearchgate. doi:https://doi.org/10.4060/cc3079en&#xD;
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