Feng Xiao, Wang Zhiqi, Zeng Zhiwei, Zhou Yuhao, Lan Yunting, Zou Wei, Gong Hao, Qi Long
College of Engineering, South China Agricultural University, Guangzhou, Guangdong, China.
Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China.
Front Plant Sci. 2023 Oct 13;14:1213486. doi: 10.3389/fpls.2023.1213486. eCollection 2023.
Measurements of rice physical traits, such as length, width, and percentage of filled/unfilled grains, are essential steps of rice breeding. A new approach for measuring the physical traits of rice grains for breeding purposes was presented in this study, utilizing image processing techniques. Backlight photography was used to capture a grayscale image of a group of rice grains, which was then analyzed using a clustering algorithm to differentiate between filled and unfilled grains based on their grayscale values. The impact of backlight intensity on the accuracy of the method was also investigated. The results show that the proposed method has excellent accuracy and high efficiency. The mean absolute percentage error of the method was 0.24% and 1.36% in calculating the total number of grain particles and distinguishing the number of filled grains, respectively. The grain size was also measured with a little margin of error. The mean absolute percentage error of grain length measurement was 1.11%, while the measurement error of grain width was 4.03%. The method was found to be highly accurate, non-destructive, and cost-effective when compared to conventional methods, making it a promising approach for characterizing physical traits for crop breeding.
测量水稻的物理性状，如长度、宽度以及饱满/瘪粒百分比，是水稻育种的关键步骤。本研究提出了一种利用图像处理技术测量用于育种的水稻籽粒物理性状的新方法。采用背光摄影获取一组水稻籽粒的灰度图像，然后使用聚类算法根据灰度值对饱满粒和瘪粒进行区分分析。还研究了背光强度对该方法准确性的影响。结果表明，所提出的方法具有出色的准确性和高效性。该方法在计算籽粒总数和区分饱满粒数量时的平均绝对百分比误差分别为0.24%和1.36%。籽粒尺寸测量也存在较小误差。籽粒长度测量的平均绝对百分比误差为1.11%，籽粒宽度测量误差为4.03%。与传统方法相比，该方法具有高精度、无损且成本效益高的特点，使其成为一种用于作物育种物理性状表征的有前景的方法。
