2023年 第25卷 第4期
《中国工程科学》 >> 2023年 第25卷 第4期 doi: 10.15302/J-SSCAE-2023.04.015
作物表型组大数据技术及装备发展研究
1. 北京市农林科学院信息技术研究中心，北京 100097；
2. 国家农业信息化工程技术研究中心，北京 100097；
3. 数字植物北京市重点实验室，北京 100097
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摘要
利用集成自动化平台装备和信息化技术手段，获取多尺度、多生境、多源异构的作物表型组大数据，将极大地促进作物功能基因组学、数字育种、智慧栽培的研究进程。本文分析了作物表型组大数据技术及装备的应用需求、产业发展形势，从物理、传输、数据、知识、应用5 个层面详细梳理了相应研发现状；从作物表型组大数据高通量获取、作物表型组大数据智能解析技术两方面着手，剖析了我国相关技术、装备、产业应用方面的问题和态势。研究建议，从底层芯片层面突破作物表型传感器关键技术，在可控开源的基础上形成自主化的表型解析技术体系，加强作物表型组大数据技术及装备标准体系建设，提出基因 – 表型 – 环境多维大数据驱动的数字育种和智慧栽培创新模式，建设作物表型组大数据技术及装备人才队伍和协作网络。
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参考文献
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