Special Issue "Strategies and Approaches for Improvement of Aquaculture"
Deadline for manuscript submissions: closed (29 July 2022) | Viewed by 25476
Interests: virology; immunology; biotechnology; bioinformatics; aquaculture
Special Issues, Collections and Topics in MDPI journals
At present, aquaculture is an extremely important industry worldwide. The production of farmed fish and shellfish from aquaculture has continuously increased, which could compensate for the declining and rapidly accelerating depletion of wild fisheries. However, there have many challenges in the aquaculture industry, including disease, immune response, breeding process and physiology problems, which are affected by biological, technical, environmental and economic factors. Therefore, the aquaculture industry has developed a lot of innovation and technology. Innovation in aquaculture means finding new solutions to integrate the use of various optimization criteria, which are crucial in the development of new means of production, and the possibility of a variable feeding path throughout the fattening process in fish and shellfish cultures.
In this Special Issue, we offer a broad spectrum of reviews and original research contributions in the topic of novel strategies and approaches to improve the quality and value of fish and shellfish in aquaculture, with a particular emphasis on the marine biotechnological dimensions. The scope of this issue includes a control strategy for disease, potential breeding techniques, fish physiology and behavior, multi-omics approaches, and technological advances in big data and artificial intelligence. This Special Issue aims to be useful to the novel and emerging technology in aquaculture to improve the health and quality of aquatic animals and price integration, and thus enhance competitiveness and sustainability.
Prof. Dr. Ming-Wei Lu
Dr. Mi Zhao
Manuscript Submission Information
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- novel control strategy for disease
- potential breeding techniques
- multi-omics approaches used in aquaculture
- big data and artificial intelligence