智慧育种

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从粮仓变化看农业现代化(编辑手记)
Ren Min Ri Bao· 2025-08-21 22:01
Core Viewpoint - The article emphasizes the importance of grain storage management in ensuring national food security in China, highlighting advancements in technology and innovative practices in grain storage and agricultural efficiency [1]. Group 1: Grain Storage Innovations - China's grain storage has evolved from simple structures to advanced smart green warehouses, reflecting significant improvements in storage management over the decades [1]. - In Yunnan's Honghe Hani and Yi Autonomous Prefecture, a government-invested initiative provides farmers with small grain storage facilities and vacuum bags, along with scientific storage guidance from technical personnel [1]. - Hebei's Handan City has introduced a "shared storage" service, allowing farmers to store their grain for free at post-harvest service centers, which also offer drying and sales services [1]. Group 2: Agricultural Technology Advancements - The transformation of grain storage mirrors the technological upgrades across the entire agricultural supply chain, including the use of drones for crop protection, mechanized harvesting, and intelligent drying processes [1]. - AI is driving innovations in smart breeding, with certified seeds entering the market and high-standard farmland construction accelerating [1]. - The focus is not only on quantity but also on quality and freshness of food, reflecting the Chinese pursuit of a more sophisticated agricultural output [1].
遭受六十四年一遇极端高温干旱“烤”验 抗旱保秋 河南够拼
He Nan Ri Bao· 2025-08-20 23:30
Core Viewpoint - The article highlights the severe drought conditions in Henan province, which have led to a concerted effort in agricultural technology and management to mitigate the impact on crop yields, particularly corn, during the critical growth period. Group 1: Drought Conditions and Impact - Henan province is experiencing a severe drought, with average temperatures reaching 30.5°C, 3.1°C higher than normal, and rainfall decreasing by 51.2% compared to historical averages [5][14] - The drought has prompted farmers to engage in extensive irrigation efforts, with reports of multiple rounds of watering to sustain crops [5][14] Group 2: Technological Innovations in Agriculture - Advanced irrigation techniques, such as water-fertilizer integration and drone technology, are being utilized to enhance efficiency in crop management [6][10] - The establishment of "six conditions" monitoring stations provides real-time data on soil moisture, crop growth, and pest alerts, effectively acting as a "smart brain" for agricultural management [8][9] Group 3: Breeding and Crop Resilience - Research institutions are focusing on breeding drought-resistant crop varieties, with notable successes in corn varieties like Zhengdan 819 and Qiule 368, which show strong adaptability to high temperatures and drought conditions [10][11] - The integration of molecular biology techniques in breeding programs is enhancing the resilience of crops against diseases and environmental stressors [10][11] Group 4: Collaborative Efforts and Funding - The provincial government has allocated significant funds for drought relief, including 200 million yuan for immediate drought response and additional support for irrigation infrastructure [15][16] - Agricultural experts and technicians have been deployed to provide on-the-ground support and training to farmers, with over 80,000 farmers receiving guidance [14][15] Group 5: Future Outlook and Strategy - The article emphasizes the shift from traditional farming practices to precision agriculture, highlighting the importance of data-driven decision-making in enhancing crop yields [17][18] - The ongoing efforts aim to ensure that even in adverse conditions, the agricultural sector can achieve stable or increased production through innovative practices and technologies [17][18]
AI助推育种成为“可计算的科学”
Ren Min Ri Bao Hai Wai Ban· 2025-07-04 01:10
Group 1 - The core viewpoint of the articles highlights the successful development and commercialization of the "Huahang Xiangyin Zhen" rice variety, which has high yield, good taste, and disease resistance, significantly benefiting local farmers [1][2]. - The "Huahang Xiangyin Zhen" rice variety has achieved a yield of 720 kg per mu, meeting the standards set by the Ministry of Agriculture and Rural Affairs for the 2025 super rice variety [1]. - The breeding process has been transformed from traditional methods to a data-driven approach utilizing big data and artificial intelligence, significantly improving breeding efficiency and precision [2][3]. Group 2 - The breeding cycle for the "Huahang Xiangyin Zhen" rice variety has been reduced to 4 years, compared to the traditional 8-10 years, due to the implementation of smart breeding techniques [2]. - The high-throughput biological data analysis platform acts as a "digital engine" in modern breeding processes, bridging the gap between traditional experience-based breeding and smart breeding [3]. - The collaboration between South China Agricultural University and enterprises has led to the establishment of a platform that accelerates breeding innovation through data analysis [1][3].
华南农业大学团队利用智慧育种方式 将育种周期压缩至3到5年 AI助推育种成为“可计算的科学”(创新故事)
Ren Min Ri Bao· 2025-06-29 21:58
Core Viewpoint - The article highlights the successful development and commercialization of the "Huahang Xiangyin Zhen" rice variety by South China Agricultural University, which has led to increased income for local farmers and is recognized as a super rice variety by the Ministry of Agriculture and Rural Affairs of China due to its high yield and disease resistance [1][2]. Group 1: Rice Variety Development - The "Huahang Xiangyin Zhen" rice variety achieves a yield of 720 kg per mu, making it a key product for local rice enterprises and contributing to farmers' income [1]. - The breeding process for this rice variety has been significantly accelerated, with the traditional breeding cycle of 8-10 years reduced to just 3-5 years, and specifically, the breeding cycle for "Huahang Xiangyin Zhen" was completed in 4 years [2]. Group 2: Technological Innovation in Breeding - South China Agricultural University is leveraging big data and artificial intelligence to innovate breeding processes, transforming traditional breeding methods into a data-driven approach [1][3]. - The high-throughput biological data analysis platform acts as a "digital engine" in modern breeding, bridging the gap between traditional experience-based breeding and smart breeding, thus enhancing research efficiency [3].
丰乐种业: 合肥丰乐种业股份有限公司向特定对象发行A股股票募集说明书(修订稿)
Zheng Quan Zhi Xing· 2025-06-09 12:36
Core Viewpoint - Hefei Fengle Seed Industry Co., Ltd. is planning to issue A-shares to specific investors to raise funds for working capital and repaying bank loans, subject to regulatory approvals [1][2][3]. Group 1: Issuance Details - The issuance price is set at 5.91 yuan per share, which is not less than 80% of the average trading price over the last 20 trading days prior to the pricing date [3]. - The total amount raised will be used entirely for supplementing working capital and repaying bank loans after deducting relevant issuance costs [3]. - The shares acquired through this issuance will be subject to a lock-up period of 36 months from the date of issuance [3][4]. Group 2: Shareholder Structure - The controlling shareholder of the company is Guotou Seed Industry Technology Co., Ltd., which is wholly owned by the State Development Investment Corporation [12][13]. - The company underwent a change in controlling shareholder from Hefei Construction Investment Holding Group to Guotou Seed Industry in April 2024 [13]. Group 3: Financial Performance - The company reported a net cash flow from operating activities of 396.0586 million yuan, indicating a downward trend in cash flow due to increased operational expenditures and rising inventory [7]. - The company's inventory at the end of the reporting period was valued at 989.2043 million yuan, representing 45.13% of its current assets, which poses a risk of inventory impairment [8]. Group 4: Industry Characteristics - The seed industry is sensitive to climate conditions, making it vulnerable to natural disasters that can affect seed production quality and yield [7]. - The company operates under a "company + base + farmer" model, where it collaborates with production bases and farmers to produce seeds [7]. - The agricultural sector, including seed production, is regulated by the Ministry of Agriculture and Rural Affairs, which oversees seed quality and production standards [16][17].
“神农·固芯”大模型育成品种在京郊试种成功
Xin Jing Bao· 2025-05-16 06:37
Group 1 - The core viewpoint of the article highlights the successful trial of high-quality crop varieties developed by the "Shennong·Guxin" smart breeding model, marking a new phase in the industrial application of smart breeding technology [1] - The "Shennong·Guxin" model integrates genotype data and agricultural knowledge graphs, optimizing the breeding process and reducing the breeding cycle by over 30%, from the conventional 5-8 years to 2-3 years [1] - The smart farm in Yanqi Town features 18 acres of experimental fields designed for immersive agricultural experiences, while the Danhui Agricultural base showcases improved yield and reduced pesticide use through smart breeding [1] Group 2 - Smart management systems based on the "Shennong model" have been implemented in multiple districts of Beijing, with the use of smart inspection robots and drones in Changping District leading to a 30% reduction in labor costs and a 10-15% decrease in fertilizer and pesticide usage [3] - The "Shennong Digital Human" technology facilitates human-machine dialogue for agricultural knowledge and production guidance, applied in farm research centers and smart greenhouses in Haidian District [3]