粤海饲料牵头低蛋白技术革新 破解水产养殖困局

Core Viewpoint - The third A+ Aquaculture Feed Summit held in Zhanjiang, Guangdong, focused on "theory and technology of low-protein feed," addressing industry challenges and promoting sustainable practices in aquaculture [1][2]. Group 1: Industry Challenges - The aquaculture industry faces multiple challenges, including weak terminal demand for aquatic products, high dependency on imported fishmeal (over 70%) and soybean meal (over 80%), and significant price volatility [2]. - The industry is experiencing a "high-protein competition" phenomenon, with feed protein levels in the Pearl River Delta reaching 48%-52%, leading to resource waste and environmental pollution [2]. - High-density farming practices have resulted in frequent disease outbreaks, while feed formulation remains relatively crude, failing to meet the precise needs of different species and growth stages [2]. Group 2: Company Innovations - Guangdong Yuehai Feed Group has proposed a core strategy of "reducing protein without compromising nutrition," encapsulated in the "three highs and three lows" framework: high quality, high health, high growth, and low protein, low waste, low feed conversion ratio [2]. - The company has achieved breakthroughs by precisely controlling the nutritional essence of fish through three technical pathways: amino acid balance, energy-to-protein ratio optimization, and functional additive selection [2]. - For instance, the addition of methionine and taurine in low fishmeal formulations has reduced the incidence of "black spot disease" from 38% to 10%, and specific additives have eliminated the occurrence of Nocardiosis within two weeks [2]. Group 3: Strategic Collaborations - During the summit, Guangdong Yuehai Feed Group signed a strategic cooperation agreement with "Zhongnong Kelong" feed formulation industrial software, which aims to break the foreign monopoly in the feed formulation software industry [3]. - The software, developed by the Chinese Academy of Agricultural Sciences and Yuan Data Technology, utilizes big data and artificial intelligence to support the precise configuration and processing of low-protein, low-soybean meal diets [3]. - This collaboration is expected to facilitate the transition from resource-intensive practices to sustainable development in the aquaculture sector [3].