Seedling Selection of the Large Yellow Croaker (Larimichthys crocea) for Sustainable Aquaculture: A Review
文献类型： 外文期刊
作者： Han, Xinran 1 ; Zhang, Shengmao 1 ; Wang, Yabing 1 ; Fang, Hui 1 ; Peng, Shiming 1 ; Yang, Shenglong 1 ; Wu, Zuli 1 ;
作者机构： 1.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Key Lab Fisheries Remote Sensing, Minist Agr & Rural Affairs, Shanghai 200090, Peoples R China
2.Dalian Ocean Univ, Coll Nav & Naval Architecture, Dalian 116023, Peoples R China
关键词：
期刊名称：APPLIED SCIENCES-BASEL （ 影响因子：2.5； 五年影响因子：2.7 ）
ISSN：
年卷期： 2025 年 15 卷 13 期
页码：
收录情况： SCI
摘要： The large yellow croaker (Larimichthys crocea) is one of China's most economically important marine fish species, with its cage culture production leading the nation for many years. However, the rapid expansion of aquaculture has brought challenges such as germplasm degradation, reduced disease resistance, inconsistent product quality, and low adoption of improved strains, which have hindered the sustainable development of the industry. The primary objective of this review is to summarize the current practices and challenges in seedling selection for L. crocea. The secondary objectives include discussing the influence of genetic, physiological, and environmental factors on growth performance and proposing future research directions for sustainable breeding programs. This review covers key topics including morphological screening, growth performance evaluation, genetic diversity conservation, disease resistance improvement, and adaptation to environmental stress. It also explores the application of modern technologies such as marker-assisted selection, intelligent monitoring, environmental control, precision feeding, and disease prevention. Moreover, it highlights core issues in current breeding practices, such as over-reliance on single-trait selection and insufficient integration of environmental adaptability and disease resistance. Finally, future trends are discussed, emphasizing the integration of genomic tools with artificial intelligence to promote intelligent, precise, and sustainable breeding approaches. These insights aim to enhance aquaculture productivity while supporting long-term ecological balance and industry sustainability.
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