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基于微根管技术的玉米根系生长监测
引用本文:廖荣伟,刘晶淼,安顺清,牛俊丽,梁 宏,任三学,乐章燕,曹玉静,李文静. 基于微根管技术的玉米根系生长监测[J]. 农业工程学报, 2010, 26(10): 156-161. DOI: 10.3969/j.issn.1002-6819.2010.10.026
作者姓名:廖荣伟  刘晶淼  安顺清  牛俊丽  梁 宏  任三学  乐章燕  曹玉静  李文静
作者单位:1. 中国气象科学研究院,北京,100081;中国科学院研究生院,北京,100039
2. 中国气象科学研究院,北京,100081;中国气象局沈阳大气环境研究所,沈阳,110016
3. 中国气象科学研究院,北京,100081
4. 四川省气象台,成都,610017
5. 廊坊市气象局,廊坊,065000
基金项目:公益性行业(气象)科研专项(GYHY(QX)200706030)
摘    要:为了研究玉米根系生长规律,该文利用固城农业气象试验站内设置的大型根剖面系统,采用微根管观测法,对试验地上玉米主要生育期的根系生长动态进行定期直接跟踪监测,并以方形整段标本法作为参照标准,对试验数据采用MATLAB软件辅助图像处理和现代统计方法进行分析。结果表明:微根管法与方形整段标本法对得出的根长密度随深度增加呈递减型有较好的一致性,两者相关系数达到0.83以上,通过0.05的显著性检验;由观测数据建立的回归方程能较好地反映土壤中玉米根系生长规律,进一步表明微根管法是一种破坏性较小、可准确定位跟踪植物根系在土壤中生长动态变化的先进技术,对植物根系生长研究有较好的推广应用价值。

关 键 词:作物,生长,监测,玉米,微根管观测法,方形整段标本法,根长密度
收稿时间:2009-12-18
修稿时间:2010-01-29

Monitor of corn root growth in soil based on minirhizotron technique
Liao Rongwei,Liu Jingmiao,An Shunqing,Niu Junli,Liang Hong,Ren Sanxue,Le Zhangyan,Cao Yujing and Li Wenjing. Monitor of corn root growth in soil based on minirhizotron technique[J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(10): 156-161. DOI: 10.3969/j.issn.1002-6819.2010.10.026
Authors:Liao Rongwei  Liu Jingmiao  An Shunqing  Niu Junli  Liang Hong  Ren Sanxue  Le Zhangyan  Cao Yujing  Li Wenjing
Abstract:In order to analyze the growth rhythm of corn root, experimental filed located in the large root monitoring system of Gu Cheng agrometeorological station was chosen in this research to study the application of minirhizotron in monitoring of the growth dynamics of crop root. Minirhizotron observation method was applied to monitor the growth rhythm of corn root, and reference standard used in this research was the square whole specimens method. MATLAB image processing technology and modern statistical method were applied to analyze the experimental data. Results showed that corn root length density decreased with the soil depth increasing observed through the two methods. The results of the two methods were significant correlation with the correlation coefficient above 0.83 at 95% confidence level. The regression equation of root established by the observational data could reflect the growth rhythm of corn root. It further shows that the minirhizotron method is a less destructive and accurate method to monitor the growth of plant roots dynamic change in soil. The minirhizotron technique has a good application value on the monitor of corn root growth.
Keywords:crops   growth   monitor   corn   minirhizotron   quadrate monolith method   corn   root length density
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