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植物表型未来情景预测。

Future scenarios for plant phenotyping.

机构信息

IBG-2: Plant Sciences, Institute for Bio- and Geosciences, Forschungszentrum Jülich, 52425 Jülich, Germany.

出版信息

Annu Rev Plant Biol. 2013;64:267-91. doi: 10.1146/annurev-arplant-050312-120137. Epub 2013 Feb 28.

Abstract

With increasing demand to support and accelerate progress in breeding for novel traits, the plant research community faces the need to accurately measure increasingly large numbers of plants and plant parameters. The goal is to provide quantitative analyses of plant structure and function relevant for traits that help plants better adapt to low-input agriculture and resource-limited environments. We provide an overview of the inherently multidisciplinary research in plant phenotyping, focusing on traits that will assist in selecting genotypes with increased resource use efficiency. We highlight opportunities and challenges for integrating noninvasive or minimally invasive technologies into screening protocols to characterize plant responses to environmental challenges for both controlled and field experimentation. Although technology evolves rapidly, parallel efforts are still required because large-scale phenotyping demands accurate reporting of at least a minimum set of information concerning experimental protocols, data management schemas, and integration with modeling. The journey toward systematic plant phenotyping has only just begun.

摘要

随着对支持和加速新型性状育种工作的需求不断增加,植物研究界面临着需要准确测量越来越多的植物和植物参数的需求。目标是提供与有助于植物更好地适应低投入农业和资源有限环境的性状相关的植物结构和功能的定量分析。我们概述了植物表型分析中固有的多学科研究,重点介绍了有助于选择资源利用效率提高的基因型的性状。我们强调了将非侵入性或微创技术集成到筛选方案中的机会和挑战,以描述植物对受控和田间实验中环境挑战的反应。尽管技术发展迅速,但仍需要并行努力,因为大规模表型需要准确报告至少一组关于实验方案、数据管理模式以及与建模集成的信息。系统性植物表型分析的旅程才刚刚开始。

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