Merchuk-Ovnat Lianne, Ovnat Zev, Amir-Segev Orit, Kutsher Yaarit, Saranga Yehoshua, Reuveni Moshe
1Institute of Plant Sciences, Agricultural Research Organization (ARO), The Volcani Center, P. O. Box 6, 5025001 Bet Dagan, Israel.
Hamacabim 4, Sderot, Israel.
Plant Methods. 2019 Aug 6;15:90. doi: 10.1186/s13007-019-0472-2. eCollection 2019.
Characterization and quantification of visual plant traits is often limited to the use of tools and software that were developed to address a specific context, making them unsuitable for other applications. is flexible multi-purpose software capable of area calculation in cm, as well as coverage area in percentages, suitable for a wide range of applications.
Here we present a novel, semi-automated and robust tool for detailed characterization of visual plant traits. We demonstrate and discuss the application of this tool to quantify a broad spectrum of plant phenotypes/traits such as: tissue culture parameters, ground surface covered by annual plant canopy, root and leaf projected surface area, and leaf senescence area ratio. The software provides easy to use functions to analyze images. While use of involves subjective operator color selections, applying them uniformly to full sets of samples makes it possible to provide quantitative comparison between test subjects.
The tool is simple and straightforward, yet suitable for the quantification of biological and environmental effects on a wide variety of visual plant traits. This tool has been very useful in quantifying different plant phenotypes in several recently published studies, and may be useful for many applications.
对视觉植物性状的表征和量化通常局限于使用为特定情境开发的工具和软件，这使得它们不适用于其他应用。[软件名称]是一款灵活的多用途软件，能够以平方厘米为单位进行面积计算，也能以百分比形式计算覆盖面积，适用于广泛的应用。
在此，我们展示了一种用于详细表征视觉植物性状的新型、半自动且强大的工具。我们展示并讨论了该工具在量化多种植物表型/性状方面的应用，例如：组织培养参数、一年生植物冠层覆盖的地面面积、根和叶的投影表面积以及叶片衰老面积比。[软件名称]软件提供了易于使用的图像分析功能。虽然使用[软件名称]涉及操作人员对颜色的主观选择，但将其统一应用于全套样本能够对测试对象进行定量比较。
该工具简单明了，适用于量化生物和环境对多种视觉植物性状的影响。在最近发表的几项研究中，该工具在量化不同植物表型方面非常有用，可能对许多应用都有帮助。
