高通量表型分析：加速作物改良的平台
High-Throughput Phenotyping: A Platform to Accelerate Crop Improvement.
作者信息
Jangra Sumit, Chaudhary Vrantika, Yadav Ram C, Yadav Neelam R
机构信息
Department of Molecular Biology, Biotechnology, and Bioinformatics, CCS Haryana Agricultural University, Hisar, 125004 India.
出版信息
Phenomics. 2021 May 11;1(2):31-53. doi: 10.1007/s43657-020-00007-6. eCollection 2021 Apr.
Abstract
Development of high-throughput phenotyping technologies has progressed considerably in the last 10 years. These technologies provide precise measurements of desired traits among thousands of field-grown plants under diversified environments; this is a critical step towards selection of better performing lines as to yield, disease resistance, and stress tolerance to accelerate crop improvement programs. High-throughput phenotyping techniques and platforms help unraveling the genetic basis of complex traits associated with plant growth and development and targeted traits. This review focuses on the advancements in technologies involved in high-throughput, field-based, aerial, and unmanned platforms. Development of user-friendly data management tools and softwares to better understand phenotyping will increase the use of field-based high-throughput techniques, which have potential to revolutionize breeding strategies and meet the future needs of stakeholders.
摘要
在过去十年中，高通量表型分析技术取得了长足的发展。这些技术能够在多样化环境下，对数千株田间种植的植物的目标性状进行精确测量；这是朝着选择产量更高、抗病性更强、抗逆性更好的品系以加速作物改良计划迈出的关键一步。高通量表型分析技术和平台有助于揭示与植物生长发育及目标性状相关的复杂性状的遗传基础。本综述重点关注高通量、基于田间、航空及无人平台等相关技术的进展。开发用户友好型数据管理工具和软件以更好地理解表型分析，将增加基于田间的高通量技术的应用，这些技术有可能彻底改变育种策略并满足利益相关者未来的需求。
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