基于大数据的作物遗传改良策略  

Crop Genetic Improvement Strategy Supported by Big Data

作　　者：肖帅[1] 艾金龙 Xiao Shuai;Ai Jinlong(Hunan Modern Logistics College,Changsha,410131;School of Modern Agriculture,Yiyang Vocational&Technical College,Yiyang,413049)

机构地区：[1]湖南现代物流职业技术学院,长沙410131 [2]益阳职业技术学院现代农业学院,益阳413049

出　　处：《分子植物育种》2024年第13期4425-4430,共6页Molecular Plant Breeding

基　　金：湖南省科技人才托举工程项目(2023TJ-N05)资助。

摘　　要：本研究对大数据在作物基因改良中的应用进行了深入探讨,详细分析了数据整合与共享、精准育种、智能化决策与管理以及政策与法规支持等策略。研究聚焦于大数据在作物基因改良以提高农业生产力和保障粮食安全中的应用效果,包括缩短植株育种周期、提高植株育种效率及其生长繁衍的成功率等。通过对国内外成功案例的评估与分析,表明了大数据技术在作物基因改良中的实际应用效果,为更好地实施大数据支持的作物基因改良策略提供了有力依据。本研究对未来发展提出了展望和建议,强调政策与法规支持在推动大数据技术应用中的重要性,为该领域的进一步发展提供了参考。This study discussed the application of big data in crop genetic improvement,and analyzed the strategies of data integration and sharing,precision breeding,intelligent decision-making and management,and policy and regulation support in detail.The study focuses on the application of big data in crop genetic improvement to improve agricultural productivity and ensure food security,including shortening the plant breeding cycle,improving the plant breeding efficiency and the success rate of growth and reproduction.Through the evaluation and analysis of successful cases at home and abroad,it has been demonstrated that big data technology has practical application effects in crop genetic improvement,which provided a strong basis for better implementing the crop genetic improvement strategy supported by big data.This study provides an outlook and recommendations for future development,emphasizing the importance of policy and regulatory support in promoting the application of big data technologies for the further development of the field.

关 键 词：大数据 作物基因改良 精准育种 智能化 

分 类 号：S126[农业科学—农业基础科学] S33