利用低场核磁共振进行活体玉米籽粒水分动态测试与成像

    Dynamic testing and imaging of living maize kernel moisture using Low-Field Nuclear Magnetic Resonance (LF-NMR)

    • 摘要: 籽粒脱水速率慢是影响中国玉米机械化粒收的重要原因。精确测定玉米籽粒含水率是实现筛选脱水速率快玉米种质材料的重要方法。该研究设置玉米新鲜籽粒脱水(D)、干籽粒吸水(H)和再脱水处理(T),利用低场核磁共振(Low-Field Nuclear Magnetic Resonance, LF-NMR)单籽粒无损测试及核磁成像(Magnetic Resonance Imaging, MRI)技术,分别对郑单958及其亲本郑58和昌7-2籽粒含水率进行测定,采集T2弛豫反演谱和可视化图像,分时段监测3个处理的含水率变化及水分迁移过程。研究结果表明,新鲜籽粒在D的D01~D02阶段含水率下降20.93~21.94个百分点,而在T中同等含水率的籽粒T01~T02阶段含水率下降25.13~27.69个百分点,2个阶段失水速率差异显著。在2次脱水处理中,昌7-2籽粒在D01~D03和T01~T03阶段的脱水速率均大于郑58和郑单958,而在D03~D06和T03~T06阶段,昌7-2籽粒的脱水速率均显著低于郑58和郑单958,显示不同种质材料籽粒在D与T处理中表现相似趋势。成像结果显示,籽粒脱水过程先从胚乳开始,而在籽粒吸水过程中,种脐部位水分增加速度快,说明种脐是籽粒吸水过程的主要通道。该研究结果表明,LF-NMR可以反映不同处理方式及种质材料间的水分变化,有助于解析玉米籽粒水分动态变化规律,可为籽粒水分的相关研究及宜机收种质改良和新种质材料创制提供重要手段。

       

      Abstract: Grain dehydration is a crucial aspect of the mechanized harvesting of maize. The high moisture of grains during harvest leads to a high percentage of damaged and mildew grains, and therefore, limiting the application of mechanized harvesting. Exploration of the moisture changes with the appropriate method is important for the development of inbred lines and hybrids with low grain moisture during harvesting. In this study, a popular planted hybrid Zhengdan958 (ZD958), and its parental inbred lines, Zheng58 (Z58) and Chang7-2 (C7-2), were used as models to test the live maize kernel moisture quantification and visualization using the Low-Field Nuclear Magnetic Resonance (LF-NMR). Self-pollination ears of ZD958, Z58, and C7-2 were harvested at 52 days after pollination, and then experienced three treatments, 1) naturally dehydration (D) under 26 ℃ environments for 5 days, samples were analyzed every 24 hours with LF-NMR; 2) hydration (H), grains from step1 were soaked in water at 26 ℃ for 9 hours, these samples were analyzed every 90 minutes with LF-NMR; 3) re-dehydration (T), repeat step 1 with grains from step 2, samples were analyzed every 24 hours with LF-NMR. For each analysis, 5 grains were used for moisture quantification with LF-NMR and 3 grains were used for grain moisture visualization with the MRI. Results showed that dehydration rate was negatively correlated with the grain moisture in both natural dehydration and re-dehydration among three materials. Under the same conditions, moisture reduction in T01-T02 was 25.13-27.69 percentage points, which was much higher than that of 20.93-21.94 percentage points, in D01-D02. Besides, significant differences were found in water loss among materials, water loss of C7-2 was significantly higher than that of Z58 and ZD958 in D01-D03 and T01-T03, while water loss of C7-2 was significantly lower than that of Z58 and ZD958 in D04-D06 and T04-T06. The visualization result showed a stronger moisture signal in the inner layer of endosperm than that in the outer layer of endosperm. In both D and T treatment, grain dehydration started from outside (endosperm) to inside (embryo). During H treatment, the moisture of the seed coat and navel increased rapidly, indicating that both seed coat and navel were important channels for water absorption. Because of the existence of grain oil which was mainly distributed in embryos and could be detected by MRI, embryos showed the strongest signals at all stages. Besides, the phase status of grain water was analyzed using transverse relaxation time (T2) of signal amplitude. Data showed that the T2 value of signal peaks decreased along with the water loss in either D treatment (D01-D06) or T treatment (T01-T06). By contrast, as water absorption went on in H treatment, the T2 value of signal peaks increased, demonstrating that phase status changes gradually along with both water absorption and dehydration treatment. Grains with low water content showed T2 value between 0.000 1-0.001 s, which meant tightly banding between water and other molecules, whole grains with high water content showed T2 value between 0.001-0.01 s (D01, T01), signifying loose banding or free from banding with other molecules. Overall, the results revealed that LF-NMR could be used to observe the continuous changes of maize grain moisture directly and accurately from three different perspectives, water content, visualization, and phase status. LF-NMR would have a high potential to be used as a powerful tool to evaluate water content and realize accurate single-kernel selection in maize breeding.

       

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