Medeiros AndrÉ D DE, Silva LaÉrcio J DA, Pereira MÁrcio D, Oliveira Ariadne M S, Dias Denise C F S
Universidade Federal de Viçosa/UFV, Departamento de Agronomia, Viçosa, MG, Brazil.
Universidade Federal do Rio Grande do Norte, Unidade Acadêmica Especializada em Ciências Agrárias, Macaiba, RN, Brazil.
An Acad Bras Cienc. 2020;92 Suppl 1:e20190209. doi: 10.1590/0001-3765202020190209. Epub 2020 Jul 6.
New approaches based on image analysis can assist in phenotyping of biological characteristics, serving as support for decision-making in modern agribusiness. The aim of this study was to propose a method of high-throughput phenotyping of free access for processing of 2D X-ray images of brachiaria grass (Brachiaria ruziziensis cv. Ruziziensis) seeds, as well as correlate the parameters linked to the physiological potential of the seeds. The study was carried out by means of automated analysis of X-ray images of seeds in which a macro, called PhenoXray, was developed, responsible for digital image processing, for which a series of descriptors were obtained. After the X-ray analysis, a germination test was performed on the seeds and, from this, variables related to the physiological quality of the seeds were obtained. The use of the macro PhenoXray allowed large-scale phenotyping of seed X-rays in a simple, rapid, robust, and totally free manner. This study confirmed that the methodology is efficient for obtaining morphometric data and tissue integrity data in Brachiaria ruziziensis seeds and that parameters such as relative density, integrated density, and seed filling are closely related to the physiological attributes of seed quality.
基于图像分析的新方法有助于生物特征的表型分析，为现代农业综合企业的决策提供支持。本研究的目的是提出一种高通量表型分析方法，可免费用于处理臂形草（Brachiaria ruziziensis cv. Ruziziensis）种子的二维X射线图像，并关联与种子生理潜力相关的参数。该研究通过对种子的X射线图像进行自动分析来进行，为此开发了一个名为PhenoXray的宏，用于数字图像处理，并获得了一系列描述符。在X射线分析之后，对种子进行了发芽试验，并由此获得了与种子生理质量相关的变量。使用PhenoXray宏能够以简单、快速、稳健且完全免费的方式对种子X射线进行大规模表型分析。本研究证实，该方法对于获取臂形草种子的形态测量数据和组织完整性数据是有效的，并且相对密度、积分密度和种子饱满度等参数与种子质量的生理属性密切相关。
