Crop yields need to be improved in a sustainable manner to meet the expected worldwide increase in population over the coming decades as well as the effects of anticipated climate change. Recently, genomics-assisted breeding has become a popular approach to food security; in this regard, the crop breeding community must better link the relationships between the phenotype and the genotype. While high-throughput genotyping is feasible at a low cost, highthroughput crop phenotyping methods and data analytical capacities need to be improved. High-throughput phenotyping offers a powerful way to assess particular phenotypes in large-scale experiments, using high-tech sensors, advanced robotics, and imageprocessing systems to monitor and quantify plants in breeding nurseries and field experiments at multiple scales. In addition, new bioinformatics platforms are able to embrace large-scale, multidimensional phenotypic datasets. Through the combined analysis of phenotyping and genotyping data, environmental responses and gene functions can now be dissected at unprecedented resolution. This will aid in finding solutions to currently limited and incremental improvements in crop yields.

中文翻译：

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作物性状的高通量估计：地面和空中表型平台的回顾

需要以可持续的方式提高作物产量，以满足未来几十年全球人口的预期增长以及预期气候变化的影响。最近，基因组学辅助育种已成为一种流行的粮食安全方法；在这方面，作物育种界必须更好地将表型和基因型之间的关系联系起来。虽然高通量基因分型以低成本是可行的，但高通量作物表型分析方法和数据分析能力需要改进。高通量表型提供了一种强大的方法来评估大规模实验中的特定表型，使用高科技传感器、先进的机器人技术和图像处理系统来监测和量化育种苗圃和田间实验中的多尺度植物。此外，新的生物信息学平台能够包含大规模、多维表型数据集。通过表型和基因分型数据的组合分析，现在可以以前所未有的分辨率剖析环境反应和基因功能。这将有助于找到解决目前作物产量有限和增量改进的方法。