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基于核磁共振技术检测小麦植株水分分布和变化规律
引用本文:要世瑾,杜光源,牟红梅,栾翔宇,马鸿雁,刘嘉男,刘梦达,齐笑,何建强.基于核磁共振技术检测小麦植株水分分布和变化规律[J].农业工程学报,2014,30(24):177-186.
作者姓名:要世瑾  杜光源  牟红梅  栾翔宇  马鸿雁  刘嘉男  刘梦达  齐笑  何建强
作者单位:1. 西北农林科技大学水利与建筑工程学院,杨凌 712100; 2. 西北农林科技大学中国旱区节水农业研究院,杨凌 712100;,3. 西北农林科技大学理学院,杨凌 712100;,1. 西北农林科技大学水利与建筑工程学院,杨凌 712100; 2. 西北农林科技大学中国旱区节水农业研究院,杨凌 712100;,1. 西北农林科技大学水利与建筑工程学院,杨凌 712100;,1. 西北农林科技大学水利与建筑工程学院,杨凌 712100;,1. 西北农林科技大学水利与建筑工程学院,杨凌 712100;,1. 西北农林科技大学水利与建筑工程学院,杨凌 712100;,1. 西北农林科技大学水利与建筑工程学院,杨凌 712100;,1. 西北农林科技大学水利与建筑工程学院,杨凌 712100; 2. 西北农林科技大学中国旱区节水农业研究院,杨凌 712100;
基金项目:国家自然科学基金(51209176);国家自然科学基金(31201122);国家高技术研究发展计划(863 计划)(2013AA102904)以及高等学校学科创新引智计划(111 计划)(B12007)项目
摘    要:为研究活体冬小麦植株水分的分布状况和连续变化过程,该研究利用核磁共振无损、非侵入的技术优势,分析了小麦各器官T2弛豫谱特征及其反映的代谢特性,分别推求出小麦叶片、茎秆和穗的信号幅值与被检测器官纯水含量以及鲜质量的回归函数关系,在此基础上建立了测量活体冬小麦植株各器官湿基含水率的检测方法。对活体植株各器官湿基含水率核磁共振检测方法的可靠性验证表明,由核磁共振法和烘干法测定的小麦叶片、茎秆和穗的湿基含水率均方根误差分别为:5.3%、3.5%、3.3%。然后将该检测方法用于监测同一株冬小麦各器官湿基含水率的长期变化和日变化过程,结果显示,乳熟期至成熟期,小麦各个器官的湿基含水率均逐渐减小,而叶片湿基含水率的日变化则呈现先减小后增大的趋势。乳熟期叶片的湿基含水率由8:00逐渐减少,且在14:00-16:00达到最低值后开始恢复,于20:00恢复至当日初始水平。成熟期叶片湿基含水率由8:00逐渐减少,但在20:00不能恢复至日内的初始水平。由于这套基于核磁共振技术的小麦湿基含水率检测方法能够对同一植株进行活体无损连续监测,因此该研究的结果能够更直接更准确地揭示冬小麦植株体内水分的连续变化规律和植株衰老过程,从而为研究冬小麦健康生长耗水规律和制定合理的灌溉制度提供理论基础。

关 键 词:作物  水分  核磁共振  冬小麦  T2弛豫谱幅度
收稿时间:2014/11/4 0:00:00
修稿时间:2014/12/12 0:00:00

Detection of water distribution and dynamics in body of winter wheat based on nuclear magnetic resonance
Yao Shijin,Du Guangyuan,Mou Hongmei,Luan Xiangyu,Ma Hongyan,Liu Jianan,Liu Mengd,Qi Xiao and He Jianqiang.Detection of water distribution and dynamics in body of winter wheat based on nuclear magnetic resonance[J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(24):177-186.
Authors:Yao Shijin  Du Guangyuan  Mou Hongmei  Luan Xiangyu  Ma Hongyan  Liu Jianan  Liu Mengd  Qi Xiao and He Jianqiang
Institution:1. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China; 2. Institute of Water Saving Agriculture in Arid Areas of China, Northwest A & F University, Yangling 712100, China;,3. College of Sciences, Northwest A & F University, Yangling 712100, China;,1. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China; 2. Institute of Water Saving Agriculture in Arid Areas of China, Northwest A & F University, Yangling 712100, China;,1. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China;,1. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China;,1. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China;,1. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China;,1. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China; and 1. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China; 2. Institute of Water Saving Agriculture in Arid Areas of China, Northwest A & F University, Yangling 712100, China;
Abstract:Abstract: The nuclear magnetic resonance (NMR) technique is a noninvasive and nondestructive way of probing water content in plants, and has been broadly used in the studies on plant-water relationship. In order to investigate water distribution in a living winter wheat plant, the T2 relaxation parameters of NMR were used to measure the moisture contents (MC) in leaf, stem, and spike of winter wheat. The results showed that the amplitude of T2 relaxation spectrum was linearly correlated to the mass of water in the plant sample. And according to the T2 relaxation properties of wheat leaf, stem, and spike, the T2 relaxation spectra could be divided into two components. The fresh weight could be estimated through linear regression using the peak areas of each component of T2 spectra. Then, the moisture contents of each organ could be obtained. To verify the moisture content estimation function, the moisture contents of organs of seven wheat varieties were measured with both NMR and traditional oven-drying methods. The root mean square error (RMSE) was adopted to measure the accuracy. The results showed that the RMSE of two kinds of measured moisture contents of leaf, stem and spike were 5.3%, 3.5% and 3.3%, respectively. The NMR detection method had high detection precision for moisture content. By comparison, the detected moisture contents in spike and stem were more precise, followed by leaf measurement. The larger error for wheat leaf was probably due to a relatively lower signal-noise ratio, and a reason for this might be the lower level filling degree relative to stem and spike. Then the method was applied to monitor the long-term and diurnal changes of the moisture contents in living wheat plants at different growth stages. The results showed that moisture content of the second upper leaf decreased from 79% to 54% during grain milk stage and ripening. The moisture content in flag leaf remained relatively stable, which kept at 78% and then decreased to 72% until the grain dough stage. The moisture contents of the first and second stems below spike also decreased from 69% to 60%. The nutriment in leaf and stem was activated and transferred into wheat grain during the stage of grain filling. This process was accompanied by a decrease of the moisture content in spike from 61% to 31%. The moisture contents of the flag leaf and second upper leaf decreased first and then increased during the stages of grain milk and ripening. At grain milk stage, leaves moisture contents were about 77% at 8:00 and reduced gradually to 74% at 14:00 (at 16:00 for flag leaf), then to 76% at 20:00. It means the moistures of leaves could recover to their initial state after decreased at grain milk stage. However, at ripening stage, the moisture content of flag leaf decreased from 70% at 8:00 to minimum (53%) at 16:00, then to 60% at 20:00. The second upper leaf showed the same tendency that the moisture content decreased from 66% to 45% and merely increased to 55% thereafter. Since the method based on NMR can continuously monitor the same wheat plant without destruction and invasion, this study can reveal the water dynamics and aging process of winter wheat more directly and precisely. The results will lay a theoretic foundation for the study on water consumption of winter wheat growing healthy and rational irrigation schedules. During next study, more wheat plants and high frequency detecting should be taken into account to demonstrate the general significance. At the same time, different environment conditions should be settled for a deeper exploration of the water distribution and movement within the wheat body.
Keywords:crops  moisture  nuclear magnetic resonance  winter wheat  T2 relaxation spectrum
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