SARS software for analysis of radiographic images of Urochloa decumbens (Stapf) RD Webster seeds

Abstract

Recently is growing the need for non-invasive, fast, and accurate technologies that can predict seed quality. Between these technologies, X-ray image analysis stand out for evaluation of the internal morphology of the seeds. Thus, the aim of the present study was to evaluate the efficiency of a specialized software for analyzing digital radiographs of Urochloa decumbens seeds called SARS (Sistema de Análise de Radiografias de Sementes - Seed Radiograph Analysis System). Five comercial seed lots of U. decumbens cv. Basilisk were used. The seed lots were produced in the 2018/2019 crop season. Radiographic images of the seeds were analyzed in SARS, through which physical characteristics were obtained. The seeds were then subjected to germination test, in which variables related to the physiological quality were evaluated. It was possible to observe that the seeds with greater germination and vigor showed strong and significant correlations with some of the physical variables obtained using SARS. Thus, high correlation of seedling length and relative seed density is important for validating the seed radiographic image analysis method. SARS proved to be an efficient tool for analyzing digital radiographs of U. decumbens seeds. It can generate descriptors which support morphometric and internal analysis of the seeds. Physical parameters obtained by using the technique have close relationship with the germination and vigor of the seeds.

OSMOPRIMING AND ITS RELATIONSHIP WITH THE QUALITY OF Urochloa decumbens SEEDS UNDER WATER DEFICIT

“…Unlike what was observed in this study, Ramos et al (2022) observed that U. decumbens seeds with higher germination potential and vigor showed significant correlations with some of the physical variables obtained by the X-ray test, such as area, perimeter, and tissue density. Furthermore, as already mentioned, several other studies have demonstrated the benefit of osmopriming when compared to unprimed seeds.…”

“…Medeiros et al (2020) evaluated the analysis of X-ray images on U. ruziziensis seeds and observed that physical attributes obtained by the X-ray test such as tissue density and seed filling were highly correlated with physiological quality, efficiently helping to carry out their large-scale phenotyping. The physical attributes obtained by the X-ray technique in U. decumbens seeds were highly correlated with germination and vigor, showing the potential of the technique for this species (Ramos et al, 2022).…”

A Comparative Study of State-of-the-Art Deep Learning Models for Semantic Segmentation of Pores in Scanning Electron Microscope Images of Activated Carbon

“…The study in [66] used the Ilastik tool to categorize voids, fractures, and mineral grains in sandstone samples from Antarctica's McMurdo Dry Valleys. In [67] Ilastik was used to analyze seedling images, efficiently classify seed vigor, and demonstrate its capability to assess physiological potential within a short 7-day germination period. The researchers demonstrated in [68] that cisTEM's GPU-accelerated 2D template matching provides computational efficiency and scalability, enabling precise ribosome identification in Mycoplasma pneumoniae cells.…”

Imagens de Raios X e YOLOv8 para Avaliação Automatizada, Precisa e Não Destrutiva da Qualidade de Sementes Braquiária (Urochloa brizantha)

“…Neste contexto, sementes do gênero Urochloa tem sido objeto de estudos recentes com processamento de imagens, através do qual dados biométricos das sementes são relacionados a suas informac ¸ões fisiológicas, e.g. porcentagem de germinac ¸ão, velocidade de emergência [Ramos et al 2022, de Freitas et al 2021. Em particular, imagens de raios X de Urochloa brizantha tem sido utilizadas para verificar a ocorrência de danos nas sementes durante seu beneficiamento [Silva et al 2022, Jeromini et al 2019.…”