植物表型组学:发展、现状与挑战

被引：67

作者：

周济 ^{[1
,2
,3
]}

Francois Tardieu ^{[4
]}

Tony Pridmore ^{[5
]}

John Doonan ^{[6
]}

Daniel Reynolds ^{[2
]}

Neil Hall ^{[2
]}

Simon Griffiths ^{[7
]}

程涛 ^{[1
]}

朱艳 ^{[1
]}

王秀娥 ^{[1
]}

姜东 ^{[1
]}

丁艳锋 ^{[1
]}

机构：

[1] 南京农业大学植物表型组学研究中心

[2] Earlham Institute,Norwich Research Park

[3] University of East Anglia,Norwich Research Park

[4] INRA,University of Montpellier,LEPSE

[5] University of Nottingham

[6] Aberystwyth University,IBERS

[7] John Innes Centre,Norwich Research Park

来源：

南京农业大学学报 | 2018年 / 41卷 / 04期

关键词：

表型组学; 多层次表型; 遥感; 成像技术; 机器人技术; 物联网; 人工智能; 高通量性状分析;

D O I：

暂无

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

随着遥感、机器人技术、计算机视觉和人工智能的发展,植物表型组学研究已经步入了快速成长阶段。本文首先介绍了植物表型组学的发展简史,包括其理论核心、研究方法、在生物研究中的应用以及国际上最新的研究动向。然后,针对各类表型技术载体平台如手持、人载、车载、田间实时监控、大型室内外自动化平台和航空机载等,分析这些技术手段在室内、外植物研究中的应用情况和实际问题。为了对表型研究中产生的巨量图像和传感器数据进行量化分析,把大数据转化为有实际意义的性状信息和生物学知识,本文着重讨论了后期表型数据解析和相应的研发过程。最后,提出表型组学的应用前景与未来展望,以期为中国的表型研究提供指导和建议。

引用

页码：580 / 588

页数：9

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