基于大数据的作物遗传改良策略
Crop Genetic Improvement Strategy Supported by Big Data
肖帅 1艾金龙2
作者信息
- 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
- 折叠
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.
Abstract
This study discussed the application of big data in crop genetic improvement,and analyzed the strate-gies 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,improv-ing the plant breeding efficiency and the success rate of growth and reproduction.Through the evaluation and anal-ysis of successful cases at home and abroad,it has been demonstrated that big data technology has practical appli-cation 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 de-velopment,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Key words
Big data/Crop genetic improvement/Precision breeding/Intelligentization引用本文复制引用
基金项目
湖南省科技人才托举工程项目(2023TJ-N05)
出版年
2024
NETL
NSTL
万方数据