according to the "

凤凰体育最新版下载 - 凤凰体育

30 六月 2026

Recently, according to the "2026 Shanghai 'Grassroots Science Popularization Action Plan' Funding Project Review Results" released by the Shanghai Association for Science and Technology, theShanghai Jinshan District Digital Intelligence Genetics Team (sponsored by SHNU College of Life Sciences), by collaborating with Shanghai Zhongke Quanyin Molecular Breeding Technology Co., Ltd., was successfully selected for the funding program. 延伸阅读

The SHNU Digital Intelligence Genetics Team (thereafter referred to as the Team)consists of 3 professors, 3 associate professors, and 2 lecturers, with Professor Huang Xuehui as the team leader. The team employs artificial intelligence and big data to analyze the genetic architecture of key agronomic traits in crops, develops intelligent breeding technologies for crops, and cultivates new high-yield, high-quality, and stable crop varieties. 延伸阅读

The Shanghai Jinshan Smart Design Breeding Technology Research Station will leverage the high-quality academic talents and research platforms of universities, cooperate with enterprises to integrate industrialization and market resources, and continuously make multi-dimensional efforts. It will provide regular professional technical guidance and hands-on skills training to agricultural practitioners while popularizing modern seed industry and smart agriculture-related knowledge among the general public. 延伸阅读

In recent years, theSHNUCollege of Life Sciences has successively established municipal-level science and technology institutes such as the Shanghai ChongmingDistrictRice Breeding Science and Technology Institute and the Shanghai FengxianDistrictLeafy Vegetable Science and Technology Institute, as well as university-level institutes like the Shanghai Jinshan District Rice Science and Technology Institute and the Shanghai Wanxiang Spinach Science and Technology Institute, continuously cultivating high-quality seeds, advanced technologies, and professional talents for local cities.

theShanghai Jinsha

栏目速览

公开信息按发布时间滚动。阅读「凤凰体育最新版下载」后,可返回栏目或查看相邻条目。

建议先扫读标题与摘要,再进入全文。同栏目条目通常按更新顺序排列。

继续浏览时优先选择同栏目或相近主题,避免被站外镜像带偏。

站点导览

0a · Home · 首页 · Campus Map · 48

正文、栏目列表与相关阅读构成完整路径,适合按主题持续查阅。