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田间表型分析平台的下一个宠儿:双子叶植物。

The field phenotyping platform's next darling: Dicotyledons.

作者信息

Li Xiuni, Xu Xiangyao, Chen Menggen, Xu Mei, Wang Wenyan, Liu Chunyan, Yu Liang, Liu Weiguo, Yang Wenyu

机构信息

College of Agronomy, Sichuan Agricultural University, Chengdu, China.

Sichuan Engineering Research Center for Crop Strip Intercropping System, Chengdu, China.

出版信息

Front Plant Sci. 2022 Aug 24;13:935748. doi: 10.3389/fpls.2022.935748. eCollection 2022.

Abstract

The genetic information and functional properties of plants have been further identified with the completion of the whole-genome sequencing of numerous crop species and the rapid development of high-throughput phenotyping technologies, laying a suitable foundation for advanced precision agriculture and enhanced genetic gains. Collecting phenotypic data from dicotyledonous crops in the field has been identified as a key factor in the collection of large-scale phenotypic data of crops. On the one hand, dicotyledonous plants account for 4/5 of all angiosperm species and play a critical role in agriculture. However, their morphology is complex, and an abundance of dicot phenotypic information is available, which is critical for the analysis of high-throughput phenotypic data in the field. As a result, the focus of this paper is on the major advancements in ground-based, air-based, and space-based field phenotyping platforms over the last few decades and the research progress in the high-throughput phenotyping of dicotyledonous field crop plants in terms of morphological indicators, physiological and biochemical indicators, biotic/abiotic stress indicators, and yield indicators. Finally, the future development of dicots in the field is explored from the perspectives of identifying new unified phenotypic criteria, developing a high-performance infrastructure platform, creating a phenotypic big data knowledge map, and merging the data with those of multiomic techniques.

摘要

随着众多作物物种全基因组测序的完成以及高通量表型分析技术的快速发展,植物的遗传信息和功能特性得到了进一步鉴定,为先进的精准农业和提高遗传增益奠定了合适的基础。从双子叶作物中收集田间表型数据已被确定为作物大规模表型数据收集的关键因素。一方面,双子叶植物占所有被子植物物种的4/5,在农业中发挥着关键作用。然而,它们的形态复杂,有大量的双子叶表型信息,这对于田间高通量表型数据的分析至关重要。因此,本文重点介绍了过去几十年来基于地面、空中和太空的田间表型分析平台的主要进展,以及双子叶田间作物在形态指标、生理生化指标、生物/非生物胁迫指标和产量指标方面的高通量表型分析研究进展。最后,从确定新的统一表型标准、开发高性能基础设施平台、创建表型大数据知识图谱以及将数据与多组学技术数据合并的角度探讨了双子叶植物在田间的未来发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbe9/9449727/1fd29d4f9b33/fpls-13-935748-g0001.jpg

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