基因芯片

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中国芯力量|中国牛用上“中国芯”
Xin Hua She· 2025-09-11 09:26
Core Insights - The Chinese dairy industry has made significant advancements in milk production, with some high-yield farms achieving an annual milk yield of 14 tons per cow by 2024, surpassing most developed countries [1] - The overall quality of Chinese raw milk has improved, with key indicators such as protein, fat, and bacterial counts exceeding EU standards, indicating a world-class quality [1] - The rapid development of the dairy sector in China, completing in 20 years what took developed countries over a century, is driven by domestic innovations in breeding and technology [1] Group 1: Genetic Improvement and Technology - The increase in dairy production and quality is fundamentally linked to the genetic improvement of dairy cattle, facilitated by whole-genome testing technology [2] - Whole-genome testing provides precise breeding values, accelerates genetic progress, and reduces the risks of inbreeding, but its high cost and time consumption hinder widespread adoption in China [2] - A team led by Li Xihe has developed domestically produced gene chips that significantly reduce testing costs and improve efficiency, achieving a fourfold increase in efficiency and a cost reduction to one-fifth of whole-genome sequencing [2][3] Group 2: Breeding and Data Utilization - The breeding capability of dairy cows is heavily influenced by the genetics of their parents, with top bulls contributing over 75% to genetic improvement [4] - The establishment of a breeding big data platform across 96 large-scale farms has enabled the collection of comprehensive data on each cow, facilitating the identification of superior breeding stock [5] - The use of machine learning algorithms has allowed for the rapid identification of genetic markers associated with desirable traits, reducing the breeding cycle from six years to two [5][6] Group 3: Smart Farming and AI Integration - Traditional dairy farming faces challenges such as high reliance on manual labor and fragmented data, which can be addressed through smart farming technologies [7] - The "YILI-AI" system developed by Yili integrates AI technology to enhance dairy farming efficiency, providing precise solutions based on extensive historical data [8] - The implementation of AI has led to an increase in daily milk production by 1.66 kg per cow and a reduction in management costs by 0.31 yuan per kg of milk [8]
打破欧美国家垄断!我国研制出系列牛用基因芯片,能让奶牛生产出优质牛奶【附基因测序技术分析】
Qian Zhan Wang· 2025-07-22 09:27
Core Viewpoint - The successful development of genome-based embryo genetic evaluation chips and high-performance genomic prediction chips by the National Dairy Technology Innovation Center marks a significant advancement in China's dairy breeding industry, transitioning from a follower to a leader in this field [2] Group 1: Technological Advancements - The newly developed genomic chips fill a gap in China's genetic evaluation technology for dairy cattle, which was previously dominated by developed countries [2] - The new chips enhance detection efficiency by over four times compared to traditional whole-genome sequencing, while reducing costs to one-fifth of previous methods [2] - The chips utilize machine learning and algorithm models, leveraging data from 96 large-scale farms and over 600,000 dairy cows to analyze genetic fingerprints [2] Group 2: Market Context - The Chinese gene sequencing market has seen rapid growth, with the market size increasing from less than 10 billion yuan to over 24 billion yuan from 2016 to 2022, reflecting a compound annual growth rate of over 20% [4] - The high technical barriers in gene sequencing mean that only a few companies, such as Illumina, Thermo Fisher, and BGI, have mass production capabilities [5] Group 3: Future Developments - The National Dairy Technology Innovation Center plans to develop a series of functional genetic testing chips focusing on local dairy cattle breeds, addressing breeding, milk production, and health indicators, while also exploring genetic traits for low carbon emissions and heat stress resistance [9]