Core Insights - The meat sheep industry in Wulanqab City, Inner Mongolia, is undergoing a transformation, with a projected total output value exceeding 1.36 billion yuan in 2024, benefiting 17,000 farming households with an annual income increase of 260 million yuan [1] Group 1: Industry Transformation - The establishment of a modern industrial chain covering breeding, processing, logistics, and branding is reshaping traditional pastoral practices, positioning "grassland sheep" as a key component of rural revitalization [1] - The introduction of the DuMeng sheep, a new breed combining the cold resistance of Mongolian sheep and the growth advantages of Dorper sheep, has achieved a weight of 40 kg at 4 months and a reproduction rate of 180%, nearly doubling traditional breeds [2][3] Group 2: Technological Advancements - After 20 years of technological development, the region has built seven world-class core breeding groups with a scale of 25,000 sheep, covering over 20 provinces with an 80% coverage rate of quality sheep breeds [3] - The automated production line in the processing sector allows for the fine segmentation of sheep into over 300 products, increasing the value of each sheep by 100 to 150 yuan [4] Group 3: Economic Impact - The meat processing sector is projected to exceed 1 billion yuan in output value in 2024, with by-products contributing 35% to the total [4] - The local government and enterprises are collaborating to create the largest DuMeng sheep distribution center in the country, with an annual livestock trading volume of 600,000 sheep and a transaction value of 480 million yuan [5] Group 4: Market Expansion - The integration of e-commerce and regional branding has allowed for the nationwide promotion of DuMeng sheep meat, significantly increasing sales and market prices for local farmers [5] - The shift from traditional farming to standardized breeding practices has enabled farmers to increase their income, with one farmer reporting an additional 200 yuan per sheep through improved breeding techniques [5]

Core Viewpoint - The article highlights the transformation of the sheep breeding industry in China, led by Li Junlong, who established the world's largest sheep embryo factory and significantly improved the economic conditions for local herders while promoting ecological sustainability [1][5]. Group 1: Industry Development - The sheep breeding industry in China faced challenges such as low efficiency and ecological degradation, prompting Li Junlong to innovate through "meat sheep breeding" technology [1][2]. - The establishment of the Sino company in 1997 marked a pivotal moment in the industry, focusing on advanced breeding techniques and overcoming initial financial struggles [1][4]. - The introduction of the new "Dumeng sheep" breed, developed through 600 trials over 18 years, exemplifies the commitment to improving breeding quality and efficiency [4][5]. Group 2: Technological Advancements - The company has successfully expanded the breeding of over half of China's imported quality sheep, achieving international standards and breaking the cycle of breed degradation [5]. - The annual production capacity of 300,000 embryos at the Sino company has positioned China as a leader in sheep breeding, with 88% of the global embryo production in 2023 attributed to China [5][6]. - The company has contributed significantly to the body of research in sheep breeding, with many international papers now citing their data [5]. Group 3: Economic Impact on Local Communities - The implementation of the "breeding joint venture" model has led to increased income for local herders, with the new Dumeng sheep allowing herders to earn an additional 150 yuan per sheep compared to local breeds [7]. - The ecological and economic model has been adopted by over 500 households, producing over 100,000 hybrid lambs annually and increasing income for each mother sheep by over 500 yuan [7]. - Li Junlong aims to further promote biological breeding across the country, enhancing the competitiveness of China's sheep industry on a global scale [7].