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首页> 外文期刊>Plant and Soil >Analysis of root images from auger sampling with a fast procedure: a case of application to sugar beet
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Analysis of root images from auger sampling with a fast procedure: a case of application to sugar beet

机译：快速程序分析螺旋钻采样的根图像：在甜菜中的应用案例

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摘要

Manual line-intersect methods for estimating root length are being progressively replaced by faster and more accurate image analysis procedures. These methods even allow the estimation of some more root parameters (e.g., diameter), but still require preliminary labour-intensive operations. Through a task-specific macro function written in a general-purpose image analysis programme (KS 300 – Zeiss), the processing time of root images was greatly reduced with respect to skeletonisation methods by using a high-precision algorithm (Fibrelength). This has been previously proposed by other authors, and estimates length as a function of perimeter and area of the digital image of roots. One-bit binary images were acquired, aiming at large savings in computer memory, and automatic discrimination of roots against extraneous objects based on their elongation index (perimeter2/area), was performed successfully. Of four tested spatial resolutions (2.9, 5.9, 8.8, 11.8 pixel mm−1), in clean samples good accuracy in root length estimation was achieved at 11.8 pixel mm−1, up to a root density of 5 cm cm−2 on the scanner bed. This resolution is theoretically suitable for representing roots at least 85 μm wide. When dealing with uncleaned samples, a thick layer of water was useful in speeding up spreading of roots on the scanner bed and avoiding underestimation of their length due to overlaps with organic debris. A set of fibrous root samples of sugar beet (Beta vulgaris var. saccharifera L.) collected at harvest over two years at Legnaro (NE Italy) was analysed by applying the above procedure. Fertilisation with 100 kg ha−1 of nitrogen led to higher RLD (root length density in soil) in shallow layers with respect to unfertilised controls, whereas thicker roots were found deeper than 80 cm of soil without nitrogen.
机译：用来估计根长的手动线相交方法正逐渐被更快，更准确的图像分析程序所取代。这些方法甚至允许估计一些更多的根部参数（例如直径），但是仍然需要初步的劳动密集型操作。通过用通用图像分析程序（KS 300 – Zeiss）编写的特定于任务的宏功能，相对于骨架化方法，使用高精度算法（光纤长度）可以大大减少根图像的处理时间。这是其他作者先前曾提出过的方法，并根据根的数字图像的周长和面积来估计长度。为了节省大量计算机内存，获取了一位二进制图像，并成功地根据根的伸长指数（perimeter2 /面积）自动识别了根与异物的区别。在四个测试的空间分辨率（2.9、5.9、8.8、11.8像素mm-1 ）中，在干净的样本中，在11.8像素mm-1 上可以达到良好的根长估计精度，最高达到根密度在扫描仪床上的高度为5 cm cm-2 。该分辨率在理论上适合于表示至少85μm宽的根。当处理未清洁的样品时，厚的水层可用于加快根在扫描仪床上的铺展，并避免因与有机碎片重叠而低估其长度。通过应用上述程序分析了在莱格纳罗（意大利东北）两年来收获时收集的一套甜菜纤维根样品（Beta vulgaris var。saccharifera L.）。与未施肥的对照相比，在100 kg ha-1的氮下施肥会导致浅层较高的RLD（土壤中的根长密度），而较厚的根部则深于80 cm无氮的土壤。

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  • 来源
    《Plant and Soil》 |2003年第1期|387-397|共11页
  • 作者

    T. Vamerali; M. Guarise; A. Ganis; S. Bona; G. Mosca;

  • 作者单位

    Dipartimento di Agronomia Ambientale e Produzioni Vegetali Università di Padova Agripolis;

    Dipartimento di Agronomia Ambientale e Produzioni Vegetali Università di Padova Agripolis;

    Dipartimento di Agronomia Ambientale e Produzioni Vegetali Università di Padova Agripolis;

    Dipartimento di Agronomia Ambientale e Produzioni Vegetali Università di Padova Agripolis;

    Dipartimento di Agronomia Ambientale e Produzioni Vegetali Università di Padova Agripolis;

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  • 正文语种 eng
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  • 关键词

    auger sampling; elongation index; image analysis; nitrogen fertilization; root length; sugar beet;

    机译：螺旋钻;伸长指数;图像分析;施氮;根长;甜菜;

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