| 基于图像分析方法的水稻根系形态特征指标的定量分析 |
| |
| 引用本文： | 顾东祥,汤亮,曹卫星,朱艳. 基于图像分析方法的水稻根系形态特征指标的定量分析[J]. 作物学报, 2010, 36(5): 810-817. DOI: 10.3724/SP.J.1006.2010.00810 |
| |
| 作者姓名： | 顾东祥 汤亮 曹卫星 朱艳 |
| |
| 作者单位： | 南京农业大学/江苏省信息农业高技术研究重点实验室,江苏南京210095 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划)，国家重点基础研究发展规划(973计划) |
| |
| 摘 要： | 利用图像分析方法定量研究水稻根系形态特征指标的变化规律。通过实施不同水氮处理和不同品种的水稻桶栽试验，选用WinRhizo (WR)软件的不同模式(LM和T200)分析根系图像，分别提取根直径范围0~0.30 mm和0.25~1.80 mm的根系形态数据，并与基于Image-Pro Plus 6.0软件(IP)的根直径和不定根长的测量结果进行比较分析；确定了3种水稻品种不同类型根直径的范围；对不同生育时期水稻根长、根体积、根表面积、根系干重和不定根数量等水稻根系形态特征指标变化差异，以及分枝特征进行了分析。结果表明：(1)基于WR软件LM和T200模式下的根直径测量结果与基于IP软件的测量结果之间NRMSE分别为5.44%和10.95%。(2)界定细分枝根直径范围为0.03~0.10 mm，扬稻6号(V3)粗分枝根和不定根分别为0.10~0.30 mm和0.30~1.65 mm，而日本晴(V1)和武香粳14(V2)分别为0.10~0.25 mm和0.25~1.40 mm，不定根长与IP测量结果进行比较，其NRMSE为10.78%~12.01%。(3)各指标抽穗前增长迅速，之后增长减缓或衰老下降；不同氮肥处理间各指标分蘖至成熟均差异显著，增施氮肥可促进根系生长，明显提高不定根比例；适当控水可促进根系生长，明显提高分枝根比例；品种V3自分蘖期到成熟期各指标均显著高于V1和V2，V1与V2间差异不显著。本研究表明，本方法具有较好的精度和可行性，为推进水稻或其他作物根系的定量研究提供了参考。
|
| 关 键 词： | 水稻 根系形态 定量分析 WinRhizo 图像分析 |
| 收稿时间： | 2009-10-26 |
Quantitative Analysis on Root Morphological Characteristics Based on Image Analysis Method in Rice |
| |
| GU Dong-Xiang,TANG Liang,CAO Wei-Xing,ZHU Yan. Quantitative Analysis on Root Morphological Characteristics Based on Image Analysis Method in Rice[J]. Acta Agronomica Sinica, 2010, 36(5): 810-817. DOI: 10.3724/SP.J.1006.2010.00810 |
| |
| Authors: | GU Dong-Xiang TANG Liang CAO Wei-Xing ZHU Yan |
| |
| Affiliation: | Jiangsu Key Laboratory for Information Agriculture/Nanjing Agricultural University,Nanjing 210095,China |
| |
| Abstract: | The objective of this study was to quantitatively analyze the change patterns of rice root morphological characteristics based on image analysis method in pot experiments with different nitrogen rates, water regimes, and rice cultivars in different years. WinRhizo software (WR) was used as the root image analysis tool, and two modes of LM and T200 were used to measure the root diameter and adventitious root length under two ranges of root diameter as 0–0.30 mm and 0.25–1.80 mm, respectively. The measurement results from WR were compared with those from Image-Pro Plus 6.0 software (IP). Then, the diameter ranges of different types of root were determined. On the basis of the dataset from WR, the statistical analysis were performed on rice root morphological characteristic indices, including dry weight, total volume, total surface area, total adventitious root length and number per plant at different growth stages. The results were as follows: (1) The average NRMSEs between WR (LM and T200) and IP for root diameters were 5.44% and 10.95%. (2) The diameter range of fine lateral root was circumscribed within 0.03–0.10 mm for all the experiments, coarse lateral and adventitious root were circumscribed within 0.10-0.30 and 0.30-1.40 mm for V1 (Nipponbare) and V2 (Wuxiangjing 14), but 0.10–0.25 and 0.25–1.65 mm for V3 (Yangdao 6). Following this method, the NRMSEs for adventitious root length measured by WR and IP were 10.78%–12.01%. (3) All indices increased rapidly in the growth process and reached or approached the maximum at heading, then increased slowly or decreased after heading. There were significant differences between treatments with different nitrogen rates from tillering to maturing on all indices. Increasing nitrogen rate accelerated the growth of roots, and especially enhanced the proportion of adventitious roots. Properly control of irrigation could promote the growth of roots and increase the proportion of lateral roots. All indices of V3 were significantly higher than these of other cultivars, and there were no significant differences between V1 and V2. The results indicated that it was feasible to measure morphological indices of different types of rice root by WR with different modes, and the methods used in this paper have a good accuracy and reliability. These results could provide a support for the quantitative analysis on root morphology of rice or other crops. |
| |
| Keywords: | WinRhizo |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《作物学报》浏览原始摘要信息 |
|
点击此处可从《作物学报》下载全文 |
|
