IJCropSeed: An open-access tool for high-throughput analysis of crop seed radiographs

Medeiros, André Dantas de; Silva, Laércio Junio da; Silva, José Maria da; Dias, Denise Cunha Fernandes dos Santos; Pereira, Márcio Dias

doi:10.1016/j.compag.2020.105555

Cited by 14 publications

(4 citation statements)

References 25 publications

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“…ex R.E.Fr. Speci cally, the integrated density parameter assigns higher tissue density, re ected in higher gray values on radiographs, to high-quality seeds, which generate normal seedlings (Medeiros et al 2020b). In the seeds of Capsicum chinense Jacq., a signi cantly positive correlation was found between tissue density parameters, evaluated by analysis of X-ray images in ImageJ, and the percentage/speed of germination, as well as seed viability; whereas a negative correlation was observed with dormancy (Medeiros et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Maturation and quality of seeds of an endangered tropical palm species (Euterpe edulis Martius) assessed by imaging and X-ray densitometry

Mello

Zanardo

Taliuli

et al. 2023

Preprint

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Euterpe edulis Martius is an endangered palm species that grows in the Atlantic Forest and the Cerrado of South America. Economic exploitation of its antioxidant-rich fruits could ensure the sustainable management of this species. However, this relies on the rapid selection of high-quality seeds from which to derive seedlings. The objective of this study was to investigate the maturation of E. edulis seeds using image analysis and X-ray densitometry. Fruits were harvested from ten matrices at different stages of maturation, from 94 days after anthesis (DAA) to 290 DAA. Seed dry mass, water content, germination, vigor, and density were quantified at each stage. At the same time, seeds were analyzed by GroundEye® imaging, radiography, scanning electron microscopy (SEM), and energy dispersive spectroscopy (EDS). The highest dry mass was detected 255 DAA (0.83 g), in vitro germination began 115 DAA and achieved 100% from 150 DAA, and maximum vigor was observed 164 DAA, whereby 100% of seedlings appeared normal. X-ray imaging revealed dehydrated seeds and small mechanical damage, such as cracking of the pericarp. X-ray densitometry revealed that seed density increased considerably 185 DAA. SEM/EDS detected changes between maturation stages, such as the accumulation of K and Si, in the mesocarp and endocarp. Overall, E. edulis seeds presented maximum in vitro germination, vigor, percentage of normal seedlings, and physicochemical qualities 164 DAA (green epicarp), which corresponds to 126 days earlier compared with the fruits harvested 290 DAA (black epicarp) for ex vitro germination.

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Section: Discussionmentioning

confidence: 99%

Maturation and quality of seeds of an endangered tropical palm species (Euterpe edulis Martius) assessed by imaging and X-ray densitometry

Mello

Zanardo

Taliuli

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…Image analysis was performed in ImageJ ® software, with help of the IJCropSeed macro (Medeiros et al, 2020a). The variables obtained in this analysis were: area (mm); perimeter (mm); relative density (gray.pixel -1 ) and gray mean (gray.mm -1 ).…”

Section: Physical Analyses (X-ray Test)mentioning

confidence: 99%

Osmopriming with selenium: physical and physiological quality of tomato seeds in response to water deficit

et al. 2023

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Tomato is a crop sensitive to water deficit and the responses of seeds to germination under these conditions involve biochemical, physiological, and molecular processes. The aim of this study was to evaluate the physical, physiological, and biochemical changes in tomato seeds osmoprimed with selenium (Se) and subjected to water deficit during germination. Tomato seeds of the LA 4050 and LA 3475 accessions were osmoprimed with PEG 6000 solution (-1.0 MPa) plus Na2SeO4 (12.5 μM) or only with PEG 6000 solution for 24 h or unprimed. The seeds from the different treatments were subjected to water deficit (-0.3 MPa) or to control (0 MPa). Image analyses were performed (X-ray), physiological variables were obtained by the germination test and activities of SOD, CAT and POX enzymes were determined. Osmopriming, especially with PEG, provided the seeds of both accessions with higher densities and gray mean when compared to unprimed ones. Seeds under water deficit showed lower physiological performance and lower enzymatic activity. Se did not induce seed resistance to water deficit. Osmopriming with PEG 6000 at -1.0 MPa is an efficient technique for improving the physiological quality of seeds of tomato accessions susceptible and tolerant to water deficit. Moreover, the antioxidant enzyme CAT proved to be an indicator of oxidative stress tolerance in tomato seedlings under water deficit.

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“…Percentages of size were calculated based on the size of the well-grown seedling, considered to be of the highest quality. In seed quality studies, the viability evaluation criteria are often divided into normal seedling, abnormal seedling, and nongerminated seed [37]- [40]. However, there can be differences in the degree of vigor among normal seedlings.…”

Section: Viability Testmentioning

confidence: 99%

Application of X-Ray Imaging and Convolutional Neural Networks in the Prediction of Tomato Seed Viability

et al. 2023

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Tomato fruits are consumed worldwide owing to their health benefits, taste, and flavor. In tomato cultivation, seed viability is directly related to crop productivity. Currently, the methods used to evaluate seed viability involve destructive sampling tests; accordingly, nondestructive methods for predicting seed viability are urgently required. This study aimed to develop X-ray imagery-based models capable of predicting the viability of tomato seeds. Particularly, X-ray-imaged seeds were grown to the seedling stage, and seedlings were classified following their condition. The structural integrity of the seeds was calculated from the X-ray image processing, and an integrity-based viability prediction model was evaluated. Furthermore, convolutional neural network (CNN)-based viability prediction models were developed and evaluated. Both models showed strong performance in distinguishing germinated and non-germinated seeds. However, the CNN-based model revealed greater accuracy in seed viability prediction than the imageprocessing-based model. The CNN-based model accuracy was 86.01%, with an F1 score of 92.11%, indicating the usefulness of the developed nondestructive testing approach for evaluating tomato seed viability.INDEX TERMS X-ray image, tomato, seed viability, deep learning, convolutional neural networks

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IJCropSeed: An open-access tool for high-throughput analysis of crop seed radiographs

Cited by 14 publications

References 25 publications

Maturation and quality of seeds of an endangered tropical palm species (Euterpe edulis Martius) assessed by imaging and X-ray densitometry

Maturation and quality of seeds of an endangered tropical palm species (Euterpe edulis Martius) assessed by imaging and X-ray densitometry

Osmopriming with selenium: physical and physiological quality of tomato seeds in response to water deficit

Application of X-Ray Imaging and Convolutional Neural Networks in the Prediction of Tomato Seed Viability

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