利用现代表型组学开展综合作物科学、农艺学和育种研究。

IF 6.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Journal of Genetics and Genomics Pub Date : 2024-08-01 Epub Date: 2024-05-10 DOI:10.1016/j.jgg.2024.04.016
Ni Jiang, Xin-Guang Zhu
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引用次数: 0

摘要

作物表型组学可收集大量不同时间尺度的样本的各种植物性状,与传统测量相比,数据收集吞吐量更大。现代作物表型组学大多使用不同的传感器,以不同的空间和时间分辨率收集植物器官的反射、发射和荧光信号等。这些多模态、高维数据不仅能加速作物生理学、遗传学和全植物系统建模的基础研究,还能支持田间农艺实践、植物工厂内部环境的优化,并最终支持作物育种。当前作物表型组学研究界面临的主要挑战和机遇包括:就数据收集、管理、共享和处理达成共识或制定标准,开发测量生理参数的能力,以及使农民和育种者能够在田间有效利用表型组学直接支持农业生产。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modern phenomics to empower holistic crop science, agronomy, and breeding research.

Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales, representing a greater data collection throughput compared with traditional measurements. Most modern crop phenomics use different sensors to collect reflective, emitted, and fluorescence signals, etc., from plant organs at different spatial and temporal resolutions. Such multi-modal, high-dimensional data not only accelerates basic research on crop physiology, genetics, and whole plant systems modeling, but also supports the optimization of field agronomic practices, internal environments of plant factories, and ultimately crop breeding. Major challenges and opportunities facing the current crop phenomics research community include developing community consensus or standards for data collection, management, sharing, and processing, developing capabilities to measure physiological parameters, and enabling farmers and breeders to effectively use phenomics in the field to directly support agricultural production.

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来源期刊
Journal of Genetics and Genomics
Journal of Genetics and Genomics 生物-生化与分子生物学
CiteScore
8.20
自引率
3.40%
发文量
4756
审稿时长
14 days
期刊介绍: The Journal of Genetics and Genomics (JGG, formerly known as Acta Genetica Sinica ) is an international journal publishing peer-reviewed articles of novel and significant discoveries in the fields of genetics and genomics. Topics of particular interest include but are not limited to molecular genetics, developmental genetics, cytogenetics, epigenetics, medical genetics, population and evolutionary genetics, genomics and functional genomics as well as bioinformatics and computational biology.
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