This newspaper (reporter sticky new).The upstream of animal husbandry is connected to food security, and the downstream is connected to the safety of meat, eggs and milk of the people. At present, China's food security has been basically guaranteed, and the safety of feed grain has become the main contradiction in food security. According to statistics, China will import 99.41 million tons of soybeans in 2023, an increase of 114 percent, accounting for more than 6 percent of all grain imports. Soybeans focus on meeting feed needs. In the past two years, the first document has taken the whole chain of grain saving and loss reduction as an important measure to ensure national food security. The cost of expanding soybean production in China is very high, and it is necessary to accelerate the exploration of the food-saving potential of breeding, feed and breeding management while stabilizing soybean production capacity.
Liu Yonghao, a member of the National Committee of the Chinese People's Political Consultative Conference (CPPCC) and chairman of New Hope Group, proposed in the proposal on the use of digital technology to inject new quality productivity into the livestock industry to save grain and improve efficiency, and that feed grain saving is related to the high-quality development of animal husbandry. In the field of feed, most of the domestic feed companies are still using foreign formula software, digital formula technology can achieve autonomy of only a handful, database construction, there are still many subdivisions of livestock breeds and raw materials have not been figured out; Although there are many innovative products in biometric technology, intelligent environmental control equipment, and breeding robots, there are still relatively few applications based on real scenarios and solving real pain points. In the context of strict prevention of pig disease, the integration of talent and technology advantages of scientific research institutes and the scene advantages of enterprises is limited, and most of the technical methods and product prototypes are in the laboratory stage, and there is still a "last mile" problem from the formation of new quality productivity.
The application potential of digital technology to promote the high-quality development of animal husbandry and reduce food loss is very great. However, at present, breeding enterprises are greatly affected by the pig cycle, and it is difficult to invest on a large scale, and there is less relevant policy support. To this end, Liu Yonghao put forward three suggestions:
Accelerate the layout of the digital biological breeding innovation system. Adopt a three-in-one innovation model that combines first-class funds, talents from institutes, and enterprise scenarios, and build an intelligent breeding R&D system with the integration of "IT+BT". Promote the research and development of basic algorithms and models such as biological big data and intelligent design, and build an IT-driven biological breeding innovation system. With leading enterprises as the main body of innovation, we will support agriculture-related enterprises to establish laboratories and R&D and design centers, and promote the development of new forms of digital biological breeding.
Support the development and application of independent nutrition database and formula software. Use policy funds to guide scientific research institutes and leading enterprises to carry out the construction of formula databases with their own focuses, and scientific research institutes to carry out public welfare database construction, and at the same time support enterprises to independently carry out the construction of characteristic databases, reduce dependence on external software and databases, and reduce the risk of stuck. Provide financial subsidies and support for the software and hardware technological transformation of feed breeding enterprises.
Strengthen the R&D and promotion of digital livestock and poultry breeding platforms and intelligent equipment. The first is to guide scientific research institutes to open the algorithms and technology libraries of artificial intelligence and big data, and enterprises to open the scene libraries of precision feeding, weight assessment, biometrics, fecal removal, environmental control, inspection, and epidemic prevention, promote the integration of field technology, and carry out project approval based on real scenarios. The second is to concentrate on solving the real pain points of high waste, large losses and low efficiency. The third is to support the establishment of professional service institutions by joint ventures between institutes and enterprises, and promote the results of the integration of science and technology enterprises in the market, including the joint development of scientific research systems, innovative algorithms, intelligent equipment, etc., to drive the overall level of digital breeding in the industry.