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首页> 外文期刊>Current opinion in plant biology >Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies. (Special Issue: Genome studies and molecular genetics.)
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Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies. (Special Issue: Genome studies and molecular genetics.)

机译:植物形态学和高通量表型分析:使用多学科技术加速水稻功能基因组学。 (特刊:基因组研究和分子遗传学。)

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摘要

The functional analysis of the rice genome has entered into a high-throughput stage, and a project named RICE2020 has been proposed to determine the function of every gene in the rice genome by the year 2020. However, as compared with the robustness of genetic techniques, the evaluation of rice phenotypic traits is still performed manually, and the process is subjective, inefficient, destructive and error-prone. To overcome these limitations and help rice phenomics more closely parallel rice genomics, reliable, automatic, multifunctional, and high-throughput phenotyping platforms should be developed. In this article, we discuss the key plant phenotyping technologies, particularly photonics-based technologies, and then introduce their current applications in rice (wheat or barley) phenomics. We also note the major challenges in rice phenomics and are confident that these reliable high-throughput phenotyping tools will give plant scientists new perspectives on the information encoded in the rice genome.
机译:水稻基因组的功能分析已进入高通量阶段,并提出了一个名为RICE2020的项目,以确定到2020年水稻基因组中每个基因的功能。但是,与遗传技术的鲁棒性相比,水稻表型性状的评估仍然是手动进行的,该过程是主观的,效率低下的,破坏性的且容易出错的。为了克服这些限制并帮助水稻表型学更紧密地与水稻基因组学平行,应该开发可靠,自动,多功能和高通量的表型平台。在本文中,我们讨论了关键的植物表型技术,特别是基于光子学的技术,然后介绍了它们在水稻(小麦或大麦)表型中的当前应用。我们还注意到水稻表型学的主要挑战,并相信这些可靠的高通量表型分析工具将为植物科学家提供有关水稻基因组编码信息的新观点。

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