Abstract:The IAC-Ouro sesame cultivar has recently expanded to Brazilian Northeast, but the studies related to physiological quality and vigor of seeds produced under these conditions are scarce yet. Due to difference in fruits maturity from different parts of the plant, the aim of this study was to relate X-ray images with the seed maturation degree and evaluate the quality of seeds from fruits located on the lower, middle and upper third of the stem. We growth the sesame in an experimental area and harvest the fruits… Show more
“…Other factors related to seed constitution may also affect the detailing of internal structures on the radiograph that is generated (Arruda et al, 2016). Nogueira Filho et al (2017) observed that the X-ray test did not allow determination of the level of development of the internal structures of sesame seeds, due to the impossibility of visualizing these structures, which resulted from the high oil concentration in sesame seeds, typical of oilseed plants. In this respect, the low oil concentration in L. leucocephala seeds, around 5.44% (Nehdi et al, 2014), may have contributed to allow visualization of the internal structures of the seeds.…”
Non-destructive and high performance analyses are highly desirable and important for assessing the quality of forest seeds. The aim of this study was to relate parameters obtained from semi-automated analysis of radiographs of Leucaena leucocephala seeds to their physiological potential by means of multivariate analysis. To do so, seeds from five lots collected from parent trees from the region of Viçosa, MG, Brazil, were used. The study was carried out through analysis of radiographic images of seeds, from which the percentage of damaged seeds (predation and fungi), and measurements of area, perimeter, circularity, relative density, and integrated density of the seeds were obtained. After the X-ray test, the seeds were tested for germination in order to assess variables related to seed physiological quality. Multivariate statistics were applied to the data generated, with use of principal component analysis (PCA). X-ray testing allowed visualization of details of the internal structure of seeds and differences regarding density of seed tissues. Semi-automated analysis of radiographic images of Leucaena leucocephala seeds provides information on seed physical characteristics and generates parameters related to seed physiological quality in a simple, fast, and inexpensive manner.
“…Other factors related to seed constitution may also affect the detailing of internal structures on the radiograph that is generated (Arruda et al, 2016). Nogueira Filho et al (2017) observed that the X-ray test did not allow determination of the level of development of the internal structures of sesame seeds, due to the impossibility of visualizing these structures, which resulted from the high oil concentration in sesame seeds, typical of oilseed plants. In this respect, the low oil concentration in L. leucocephala seeds, around 5.44% (Nehdi et al, 2014), may have contributed to allow visualization of the internal structures of the seeds.…”
Non-destructive and high performance analyses are highly desirable and important for assessing the quality of forest seeds. The aim of this study was to relate parameters obtained from semi-automated analysis of radiographs of Leucaena leucocephala seeds to their physiological potential by means of multivariate analysis. To do so, seeds from five lots collected from parent trees from the region of Viçosa, MG, Brazil, were used. The study was carried out through analysis of radiographic images of seeds, from which the percentage of damaged seeds (predation and fungi), and measurements of area, perimeter, circularity, relative density, and integrated density of the seeds were obtained. After the X-ray test, the seeds were tested for germination in order to assess variables related to seed physiological quality. Multivariate statistics were applied to the data generated, with use of principal component analysis (PCA). X-ray testing allowed visualization of details of the internal structure of seeds and differences regarding density of seed tissues. Semi-automated analysis of radiographic images of Leucaena leucocephala seeds provides information on seed physical characteristics and generates parameters related to seed physiological quality in a simple, fast, and inexpensive manner.
“…Besides the water content, the level of detail of the internal seed parts of the radiographic image can be affected by other intrinsic factors of each species, such as its chemical composition (Simak, 1991). In sesame seeds, the X-ray test did not allow the determination of the level of development of internal seed structure, which according to the authors was due to its high oil content, typical of oilseeds (Nogueira-Filho et al, 2017). However, as shown in Figure 1, in melon seeds, whose oil content is within the range of 25.2 to 44.8% (Ibeto et al, 2012), it was possible the visualization with a high degree of detail of the internal seed morphology, with easy visual identification of seeds with incomplete filling and embryonic malformation ( Figure 1B), as well as physical damage caused by predation of insects and cracks, possibly during handling or drying processes ( Figure 1C).…”
Non-destructive and high throughput methods have been developed for seed quality evaluation. The aim of this study was to relate parameters obtained from the free and automated analysis of digital radiographs of hybrid melons’ seeds to their seeds’ physiological potential. Seeds of three hybrid melon (Cucumis melo L.) cultivars from commercial lot samples were used. Radiographic images of the seeds were obtained, from which area, perimeter, circularity, relative density, integrated density and seed filling measurements were generated by means of a macro (PhenoXray) developed for ImageJ® software. After the X-ray test, seed samples were submitted to the germination test, from which variables related to the physiological quality of the seeds were obtained. Variability between lots was observed for both physical and physiological characteristics. Results showed that the use of the PhenoXray macro allows large-scale phenotyping of seed radiographs in a simple, fast, consistent and completely free way. The methodology is efficient in obtaining morphometric and tissue integrity data of melon seeds and the generated parameters are closely related to physiological attributes of seed quality.
“…Relative and integrated density are variables used recently in research with seeds, which are still little reported, but with great potential for evaluating seed lots (ABUD; CICERO; MEDEIROS et al, 2018). These variables, calculated using the gray values of each pixel in the image, off er an idea of the resistance that a given tissue has to the passage of X-ray waves since the photons in an X-ray beam can be transmitted, scattered (Compton eff ect) or absorbed (photoelectric collision) when they collide with an object (KOTWALIWALE et al, 2014).…”
Section: Resultsmentioning
confidence: 99%
“…This method has proven effi cacy to determine the internal morphology and parameters associated with the physiological quality of several plant species, such as Cucumis sativus L. (GOMES JUNIOR; CHIQUITO; MARCOS FILHO, 2013), Cucurbita pepo L. (ANTONIO et al, 2016;SILVA et al, 2014), Solanum aethiopicum L. (ALVES et al, 2018), Brassica oleracea L. var. italica (ABUD; CICERO; GOMES JUNIOR, 2018), Helianthus annuus L. (ROCHA; SILVA; CICERO, 2014), Crotalaria juncea L. (ARRUDA; CICERO; GOMES JUNIOR, 2016), Sesamum indicum L. (NOGUEIRA FILHO et al, 2017), Acca sellowiana (SILVA et al, 2013), Swingle citrumelo (ARRUDA; CICERO; GOMES JUNIOR, 2018), Anacardium occidentale L. (SILVA et al, 2017), Brachiaria brizantha. (JEROMINI et al, 2019), Terminalia argentea (GOMES et al, 2014), among other species.…”
This study investigated the eff ectiveness of using the X-ray technique to assess the viability of papaya seeds. The X-ray images were performed in eight replicates of 25 seeds, placed on transparent acrylic plates on double-sided adhesive tape, previously identifi ed, and then submitted to radiation in X-ray equipment "HP Faxitron". After exposure to X-ray radiation, the seeds were submitted to the germination test in rolls of germitest paper and kept in a germination chamber at 20-30 °C for 30 days. Seedlings were photographed and evaluated as normal seedlings, abnormal and non-germinated seeds. Afterward, the X-ray images and the seedlings from the same seeds were visually compared, and the X-ray images clearly showed seeds with and without internal fi lling.All abnormal seedlings were full seeds; therefore, X-ray images were not able to separate normal and abnormal. A 100% accuracy was verifi ed by comparing the X-ray images and their respective seedlings, full seeds originated normal or abnormal seedlings, and empty seeds corresponded to non-germinated seeds. Therefore, using X-ray images is a promising technique to identify the viability of papaya seeds. The automated analysis of X-ray images is a simple, fast, and effi cient technique to provide information on seed viability and generate parameters related to their germination capacity.
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