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首页> 外文期刊>Plant methods >Diel leaf growth of soybean: a novel method to analyze two-dimensional leaf expansion in high temporal resolution based on a marker tracking approach (Martrack Leaf)
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Diel leaf growth of soybean: a novel method to analyze two-dimensional leaf expansion in high temporal resolution based on a marker tracking approach (Martrack Leaf)

机译：大豆的Diel叶片生长：一种基于标记跟踪方法的高解析度二维叶片膨胀分析新方法（Martrack Leaf）

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Background We present a novel method for quantitative analysis of dicot leaf expansion at high temporal resolution. Image sequences of growing leaves were assessed using a marker tracking algorithm. An important feature of the method is the attachment of dark beads that serve as artificial landmarks to the leaf margin. The beads are mechanically constricted to the focal plane of a camera. Leaf expansion is approximated by the increase in area of the polygon defined by the centers of mass of the beads surrounding the leaf. Fluctuating illumination conditions often pose serious problems for tracking natural structures of a leaf; this problem is circumvented here by the use of the beads. Results The new method has been used to assess leaf growth in environmental situations with different illumination conditions that are typical in agricultural and biological experiments: Constant illumination via fluorescent light tubes in a climate chamber, a mix of natural and artificial illumination in a greenhouse and natural illumination of the situation on typical summer days in the field. Typical features of diel (24h) soybean leaf growth patterns were revealed in all three conditions, thereby demonstrating the general applicability of the method. Algorithms are provided to the entire community interested in using such approaches. Conclusions The implementation Martrack Leaf presented here is a robust method to investigate diel leaf growth rhythms both under natural and artificial illumination conditions. It will be beneficial for the further elucidation of genotype x environment x management interactions affecting leaf growth processes.
机译：背景技术我们提出了一种在高时间分辨率下定量分析双子叶植物叶片扩展的新方法。使用标记跟踪算法评估生长叶片的图像序列。该方法的一个重要特征是将充当人造界标的深色珠子附着在叶缘上。磁珠机械收缩到相机的焦平面。叶片的膨胀可以通过多边形的面积增加来近似，该多边形的面积由围绕叶片的小珠的质心确定。光照条件的变化通常会给跟踪叶片的自然结构带来严重的问题。使用珠子可以解决这个问题。结果该新方法已被用于评估农业和生物实验中不同照明条件下环境条件下叶片的生长：通过气候室中的荧光灯管进行恒定照明，将温室和自然环境中的自然照明与人工照明混合使用现场典型夏季的情况照亮情况。在所有这三种条件下都可揭示出迪尔（24h）大豆叶片生长模式的典型特征，从而证明了该方法的一般适用性。向有兴趣使用此类方法的整个社区提供了算法。结论此处介绍的实现Martrack Leaf是一种在自然和人工光照条件下研究diel叶子生长节律的可靠方法。这对于进一步阐明影响叶片生长过程的基因型x环境x管理相互作用将是有益的。

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