Background

Rice quality research attracts attention worldwide. Rice chalkiness is one of the key indexes determining rice kernel quality. The traditional rice chalkiness measurement methods only use milled rice as materials and are mainly based on naked-eye observation or area-based two-dimensional (2D) image analysis and the results could not represent the three-dimensional (3D) characteristics of chalkiness in the rice kernel. These methods are neither in vivo thus are unable to analyze living rice seeds for high throughput screening of rice chalkiness phenotype.

Results

Here, we introduced a novel method for 3D visualization and accurate volume-based quantification of rice chalkiness in vivo by using X-ray microcomputed tomography (micro-CT). This approach not only develops a novel volume-based method to measure the 3D rice chalkiness index, but also provides a high throughput solution for rice chalkiness phenotype analysis by using living rice seeds.

Conclusions

Our method could be a new powerful tool for rice chalkiness measurement, especially for high throughput chalkiness phenotype screening using living rice seeds. This method could be used in chalkiness phenotype identification and screening, and would greatly promote the basic research in rice chalkiness regulation as well as the quality evaluation in rice production practice.

中文翻译：

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使用高分辨率Micro-CT进行稻米垩白的3D可视化和基于体积的定量分析。

背景

大米质量研究引起了全世界的关注。稻米垩白度是决定稻米品质的关键指标之一。传统的大米白垩度测量方法仅以碾米为原料，主要基于肉眼观察或基于区域的二维（2D）图像分析，结果不能代表白垩纪白垩度的三维（3D）特征。米仁。这些方法都不是体内的，因此不能分析活的水稻种子以高通量筛选水稻垩白表型。

结果

在这里，我们介绍了一种新颖的方法，可通过使用X射线微计算机断层扫描（micro-CT）在体内对水稻垩白度进行3D可视化和基于体积的准确定量。该方法不仅开发了一种新颖的基于体积的方法来测量3D水稻垩白度指数，而且还为使用活稻种子的水稻垩白度表型分析提供了高通量解决方案。

结论

我们的方法可能是一种用于水稻白垩度测量的强大新工具，特别是使用活稻种子进行高通量白垩度表型筛选的方法。该方法可用于白垩度表型的鉴定和筛选，将大大促进稻米白垩度调节的基础研究以及稻米生产实践中的质量评价。