Shanghai Ocean

Jan 16, 2025 | link.springer.com | Shanghai Ocean

AbstractShrimp aquaculture likewise other aquatic species farming uses large quantities of water, which is generally discharged without treatment, often causing water scarcity and environmental contamination. Biofloc technology (BFT) is a sustainable aquaculture option, which helps reduce excessive use of water and recycle food waste, and harmful organic and inorganic compounds from the system, serving as natural food for cultured aquatic organisms.

Nov 22, 2024 | link.springer.com | Fish Nutrition |Shanghai Ocean

AbstractThe present study explored the effects of dietary lipid and protein levels on growth performance, body composition, antioxidant capacity, and flesh quality of mandarin fish (Siniperca chuatsi). Nine experimental diets containing graded levels of crude lipid (8%, 12%, and 16%) and crude protein (45%, 50%, and 55%) were formulated in a 3 × 3 factorial design.

Nov 21, 2024 | link.springer.com | Shanghai Ocean

AbstractThis study represents the first instance of integrating the vp28 gene from the white spot syndrome virus (WSSV) into the genome of Synechocystis sp. PCC6803 using homologous recombination technology, resulting in the construction of the homologous recombinant algae strain Hrvp28-6803. Compared to the directly introduced plasmid transgenic cyanobacterium vp28-6803, the expression efficiency of vp28 in Hrvp28-6803 was found to be 2.87 times higher.

Nov 12, 2024 | link.springer.com | Shanghai Ocean

AbstractIn recent years, shrimp aquaculture has become one of the most promising and fastest-growing aquaculture industries in providing aquatic food globally. In comparison with other aquatic products, shrimp plays an important role because of its high export value and self-employment opportunities provided for farmers and stakeholders along its value chain in developing countries.

Nov 11, 2024 | link.springer.com | Shanghai Ocean |Beijing Academy

AbstractIn recirculating aquaculture system, precise estimation of perch size from images is essential for developing intelligent management system. However, variations in fish postures and visual field lead to different fish sizes in RGB images, posing challenges for accurate fish detection and localization. To address the above issues, this paper proposes a nondestructive target detection and size measurement method for perch, based on depth information and RGB-D images.