International Journal of Aquaculture, 2025, Vol.15, No.5, 229-239 http://www.aquapublisher.com/index.php/ija 237 How to ensure growth advantages while taking into account these traits is a major challenge. This requires comprehensive selection based on methods such as the genome-wide selection index, and also requires us to deeply understand the genetic correlation between traits. 8 Conclusion Quantitative trait localization (QTL) and genome-wide association analysis (GWAS) have made important contributions to elucidating the genetic basis of shrimp growth traits. QTL study used family mapping to successfully locate several genomic regions that affect growth, providing clues for the discovery of main-effect genes. GWAS identified a batch of molecular markers and candidate genes significantly related to growth through high-density scanning of the breeding population, which gave us a more comprehensive understanding of the multigene control of shrimp growth. These two methods complement each other: QTL provides a reliable framework for verifying associations, and GWAS expands the scope and accuracy of genetic analysis. Thanks to QTL and GWAS research, scientists have identified a series of key growth-related candidate genes, such as STEAP4, MMD2, DCD, PKC-δ, etc., and have preliminarily clarified their functional role in metabolism, signaling, etc. The progress in genetic research on shrimp growth traits has important implications for future molecular breeding. Growth traits are regulated by multiple genes and are significantly affected by the environment, which suggests that breeding work needs to consider multiple factors in a comprehensive way. Using important gene loci identified by QTL/GWAS, marker-assisted selection can be carried out to improve the efficiency and accuracy of growth improvement. Secondly, the study proves the importance of integrating multiomic data and combining different analytical methods. Future breeders should be good at combining genomic data with phenotypic data, and through technologies such as whole genome selection, they can achieve accurate prediction and early selection of shrimp growth traits. Furthermore, these studies highlight the value of genetic diversity for improvement. Whether it is Chinese prawns or vannabinoid prawns, maintaining certain genetic variations can provide space for continuous breeding. For the industry, the application of molecular breeding technology will cultivate a batch of new varieties of shrimp with faster growth and higher bait conversion rate, thereby improving breeding benefits and reducing unit output costs. Research on the genetic basis of shrimp growth is a typical interdisciplinary field, involving many aspects such as genetics, genomics, statistics, and aquaculture. Future breakthroughs depend on the deep integration and collaboration of various disciplines. On the one hand, we need genetic breeders, molecular biologists and breeding experts to work closely together to design research plans to ensure that the experimental results have practical application value. On the other hand, international cooperation will provide us with a broader platform. Shrimp farming is carried out globally, and the scientific research forces of each country have their own strengths. Through international cooperation, we can complement each other's advantages and share resources. Acknowledgements Thank you to all members of Hainan Biotechnology Research Institute for their help and support during this research. Conflict of Interest Disclosure The authors confirm that the study was conducted without any commercial or financial relationships and could be interpreted as a potential conflict of interest. References Akbarurrasyid M., Prama E.A., Sembiring K., Anjarsari M., Sofian A., and Astiyani W.P., 2023, Monitoring of aquatic environmental factors on the growth of whiteleg shrimp (Litopenaues vannamei Boone 1931), Jurnal Perikanan Universitas Gadjah Mada, 25(2): 181-188. https://doi.org/10.22146/jfs.83813 Altaf M.T., Tatar M., Ali A., Liaqat W., Mortazvi P., Kayıhan C., Ölmez F., Nadeem M.A., Javed J., Gou J., Wang M., Umar U., Dasgan H., Kurt C., Yıldız M., Mansoor S., Dababat A., Çeliktaş N., and Baloch F., 2024, Advancements in QTL mapping and GWAS application in plant improvement, Turkish Journal of Botany, 48(7): 376-426. https://doi.org/10.55730/1300-008x.2824
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