Seed quality analysis of Senna siamea Lam. using image analysis techniques

Silva, Jackson Araújo da; Medeiros, André Dantas de; Pereira, Márcio Dias; Ramos, Amanda Karoliny Fernandes; Silva, Laércio Junio da

doi:10.1590/2317-1545v42241633

Cited by 5 publications

(6 citation statements)

References 32 publications

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“…Moreover, the manual or visual counting of seeds is tiring, repetitive, inefficient and increases the chances of human error, which can be overcome with the use of image processing techniques (Mussadiq et al, 2015;Acosta et al, 2017;Deng et al, 2021). ImageJ® is a free access software with several applications in image analysis in agrarian and biological sciences (Noronha et al, 2019;Freitag et al, 2020;Medeiros et al, 2020;Silva et al, 2020;Oliveira et al, 2021;Ribeiro et al, 2021). Among them, the possibility of counting elements in an image for different purposes (Passoni et al, 2014;Gautier and Ginsberg, 2021;Tsuzuki et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Thousand-seed weight determination in forest species by image analysis

et al. 2021

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Thousand-seed weight (TSW) is used to calculate the sowing density, number of seeds present in a sample, and predict seed size. Our aim was to establish an alternative methodology for thousand-seed weight determination in forest species using image analysis techniques. The traditional methodology was compared with the alternative one, testing them on seeds from 16 forest species. The traditional method was performed by manually counting eight repetitions of 100 seeds, weighing of samples, and computation of thousand-seed weight. The alternative methodology was performed by counting seed samples captured by images and processing in ImageJ® software, followed by weighing a single sample, and computation. All steps were timed, and each methodology was repeated ten times per species. The TSW obtained by the alternative methodology was similar to that obtained by the traditional one, and the average execution time of the activities was reduced by 62%. The proposed thousand-seed weight determination by image analysis is an efficient and optimized alternative to the traditional method. Thousand-seed weight determination from image analysis reduces execution time for the seed analyst and forest seedling producer.

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Section: Introductionmentioning

confidence: 99%

Thousand-seed weight determination in forest species by image analysis

et al. 2021

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“…The analysis was performed through images, with the seedlings arranged on a flat surface with a blue background, next to a ruler graduated in cm, with the image captured using a camera with 300 dpi resolution and in jpeg format. Subsequently, the images were processed using ImageJ® software, and adjustments were made to the contour of the seedlings, making it possible to obtain the length of the parts (root, shoot and seedling), with the results expressed in cm (Silva et al, 2020).…”

Section: Variables Analyzedmentioning

confidence: 99%

Seed osmopriming with salicylic acid on induction of tolerance of Cenostigma pyramidale to water deficit

Nóbrega,

Silva,

Silva

et al. 2024

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Cenostigma pyramidale is an endemic species of Brazil, widely spread in the Caatinga biome. The conditions in the semi-arid Northeastern region of Brazil can affect the development of plants due to the irregularity of rainfall, limiting the availability of water and reducing the germination and initial growth of native species. Therefore, seed priming with salicylic acid may mitigate the effects of water stress on plants. The objective of this work was to evaluate the effect of seed osmopriming with salicylic acid as a water deficit attenuator on germination and initial growth of C. pyramidale seedlings. A completely randomized design in a 5 × 5 factorial scheme, corresponding to five osmotic potentials (Ψs – 0, -0.3, -0.6, -0.9 and -1.2 MPa) and five doses of salicylic acid (0, 0.5, 1.0, 1.5 and 2.0 mM), with four repetitions of 25 seeds, was used. Germination and initial growth of C. pyramidale were compromised by water deficit. Osmopriming of seeds with salicylic acid at a dose of 0.63 mM is an efficient strategy to reduce the effect of water deficit in the germination stage from the potential of -0.2 MPa. The vigor of C. pyramidale seeds increased under deficit conditions with the application of salicylic acid, with the concentration varying from 0.5 to 1.0 mM. Osmopriming seeds with 0.87 mM salicylic acid promotes the development of vigorous seedlings under water deficit conditions.

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“…This may compromise the accuracy of results and visualization of seed internal morphology. In Leucaena leucocephala [31] and Senna siamea [15] seeds, tissuedensity-related parameters could be compared through radiographs, and their moisture levels ranged from 8.1% to 8.8% and from 11.5% to 12.9%, respectively. Moisture uniformity among the analyzed lots is another aspect that must be considered for standardized evaluations and safe comparisons of seed physiological quality [32].…”

Section: Implications For Seed Viabilitymentioning

confidence: 99%

“…Integrated density is calculated considering the gray values of each image pixel, differing from relative density calculations that consider seed area [13]. Recently, seed research has reported the potential of both parameters to evaluate seed lots for different species [11,[14][15][16]. However, although the results of physical parameters generated by X-ray analysis are effective in differentiating seed lots, they must be compared to physiological tests in order to accurately infer their potential relationship with seed physiological quality [13].…”

Section: Implications For Seed Viabilitymentioning

confidence: 99%

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Selection of Superior Senna macranthera Seeds, Carbon Stock, and Seedling Survival, and Costs for Habitat Restoration

et al. 2023

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Conservation and recovery of degraded areas generate great demand for seeds of native tree species. The development and/or improvement of efficient techniques for the evaluation of forest-seed quality is important for the production and establishment of high-quality seedlings for restoration. In this study, the tissue density of radiographic images of Senna macranthera seeds was related to their physiological quality. Moreover, biomass, carbon stock, seedling survival, and X-ray technique costs were estimated for S. macranthera. Collected seeds were analyzed using digital radiography to measure relative and integrated density. The physical integrity of seed tissues was visually evaluated. Seeds were then germination tested to assess seedling development-related traits. Semiautomated radiography allowed for visualizing internal seed structures and observing their density and physical-integrity differences as well as physiological quality. Moreover, seed lots with lower relative and integrated densities had more physical damage and/or malformation, thus producing less vigorous seedlings. The average carbon stock was 21.42 kg per tree. The seed selection cost was USD 0.0132/seed at an 81% germination rate. The annual cost of planting S. macranthera seedlings was USD 7500 per hectare during the establishment year and averaged USD 1562 per year for replanting lost transplants over the eight years after initial planting. Applying these techniques may enhance the seedling production of this species, contributing to reforestation programs in Brazil.

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Seed quality analysis of Senna siamea Lam. using image analysis techniques

Cited by 5 publications

References 32 publications

Thousand-seed weight determination in forest species by image analysis

Thousand-seed weight determination in forest species by image analysis

Seed osmopriming with salicylic acid on induction of tolerance of Cenostigma pyramidale to water deficit

Selection of Superior Senna macranthera Seeds, Carbon Stock, and Seedling Survival, and Costs for Habitat Restoration

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