X-Ray analysis to assess mechanical damage in sweet corn seeds

Gomes-Júnior, Francisco Guilhien; Cícero, Silvio Moure

doi:10.1590/s0101-31222012000100010

Cited by 17 publications

(6 citation statements)

References 11 publications

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“…The mass of the seeds employed during the experiment was quite uniform (330.29 ± 12.05 mg per seed) to ensure that there was no influence on the length and dry biomass of the seedlings. These results agree with previous studies using X-ray radiography on maize seed germination in which no harmful effects on seed germination were observed (Bino, Aartse, & Van der Burg, 1993;Girardin, Chavagnat, & Bockstaller, 1993;Cicero et al, 1998;Carvalho et al, 1999;Cicero & Banzatto-Junior, 2003;Gomes-Junior & Cicero, 2012). According to Bino et al (1993), low energy X-rays and short exposure times are not detrimental to cells and do not affect germination.…”

Section: Germination Of X-ray Irradiated Maize Seedssupporting

confidence: 92%

“…X-ray radiographic analysis has been previously applied to evaluate the mechanical damage of maize seeds (Girardin et al, 1993;Cicero et al, 1998;Carvalho et al, 1999;Cicero & Banzatto-Junior, 2003;Gomes-Junior & Cicero, 2012). One of these studies reported that the transversal ruptures in the endosperm may affect the embryonic axis and reduce the percentage of seed germination (Cicero et al, 1998).…”

Section: Morphological Maize Seed Analysis Suing X-ray Micro-ct and Rmentioning

confidence: 99%

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X-ray microtomography in comparison to radiographic analysis of mechanically damaged maize seeds and its effect on seed germination

et al. 2019

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Among the most relevant aspects of seed production, mechanical damage may affect seed germination and reduce health and vigor. This study introduces a noninvasive high-resolution imaging procedure for evaluating the mechanical damage to maize seeds and the effects on seed germination. Seeds with different levels of mechanical damage were evaluated using a benchtop micro-computed tomography system (micro-CT) and digital X-ray equipment. The two-dimensional transaxial, coronal and sagittal micro-CT sections were used to inspect the seed anatomy and the mechanical injuries in the internal seed tissue. Germination tests were performed using paper towel rolls (25°C for 7 days) in which the seedling length was evaluated on a daily basis, and the seedling dry biomass was measured at the seventh germination day. The micro-CT cross-sectional images allowed an efficient spatial characterization of the mechanical damage inside the seeds. On average, mechanically damaged seeds produced seedlings with a length 24% shorter and a dry biomass 65% less than that of the undamaged seeds. We concluded that the micro-CT technique provides an efficient means to inspect mechanically damaged maize seeds and allows for a reliable association with germination response.

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Section: Germination Of X-ray Irradiated Maize Seedssupporting

confidence: 92%

Section: Morphological Maize Seed Analysis Suing X-ray Micro-ct and Rmentioning

confidence: 99%

X-ray microtomography in comparison to radiographic analysis of mechanically damaged maize seeds and its effect on seed germination

et al. 2019

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“…Mechanically damaged seeds should not be used in the pelleting unless the injury is very small. Due to their sensitivity to water uptake [4], damaged seeds may result in heterogeneous field performance, and there is also evidence from soybean, sweet corn and maize that the damaged seeds are more likely to produce abnormal seedlings [7,8,9,10]. Therefore, it is important to identify mechanically damaged seeds in order to discard them, but also in order to improve our knowledge about the specific procedure causing the injuries.…”

Section: Introductionmentioning

confidence: 99%

Classification of Processing Damage in Sugar Beet (Beta vulgaris) Seeds by Multispectral Image Analysis

Salimi

Boelt

2019

Sensors

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The pericarp of monogerm sugar beet seed is rubbed off during processing in order to produce uniformly sized seeds ready for pelleting. This process can lead to mechanical damage, which may cause quality deterioration of the processed seeds. Identification of the mechanical damage and classification of the severity of the injury is important and currently time consuming, as visual inspections by trained analysts are used. This study aimed to find alternative seed quality assessment methods by evaluating a machine vision technique for the classification of five damage types in monogerm sugar beet seeds. Multispectral imaging (MSI) was employed using the VideometerLab3 instrument and instrument software. Statistical analysis of MSI-derived data produced a model, which had an average of 82% accuracy in classification of 200 seeds in the five damage classes. The first class contained seeds with the potential to produce good seedlings and the model was designed to put more limitations on seeds to be classified in this group. The classification accuracy of class one to five was 59, 100, 77, 77 and 89%, respectively. Based on the results we conclude that MSI-based classification of mechanical damage in sugar beet seeds is a potential tool for future seed quality assessment.

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“…X-ray analysis is a fast and non-destructive procedure to access information on the internal morphology of seeds (Gomes-Junior and Cicero, 2012). The analysis allows the visualization of the occurrence of malformed, empty, mechanically damaged, and insect-damaged seeds, which have the potential to negatively influence the germination capacity.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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The inclusion of image analysis techniques for the accurate and rapid assessment of the quality of forest seeds is highly desirable. The use of digital radiographic images of seeds and the analysis of seedling images, still little used in determining the quality of forest seeds, are among the available imaging techniques. This study aimed to assess the feasibility of using the analysis of images of seeds and seedlings in the assessment of the physical and physiological quality of Senna siamea seeds. Radiographic images of seeds were obtained from five seed lots, allowing generating morphological and tissue integrity descriptors. These seeds were then subjected to germination and seedling growth tests, which allowed obtaining variables related to physiological quality. The generated seedlings were scanned and analyzed using the software ImageJ. The data were analyzed using analysis of variance, correlation, and principal component analysis. The results showed differences between seed lots in terms of physiological quality and physical integrity of internal tissues. Significant correlations were observed between the variables obtained with the radiographic analysis and seed physiological characterization tests. The use of techniques to analyze seed radiographs and seedling images allows access to information on the physical and physiological integrity of S. siamea seeds.

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X-Ray analysis to assess mechanical damage in sweet corn seeds

Cited by 17 publications

References 11 publications

X-ray microtomography in comparison to radiographic analysis of mechanically damaged maize seeds and its effect on seed germination

X-ray microtomography in comparison to radiographic analysis of mechanically damaged maize seeds and its effect on seed germination

Classification of Processing Damage in Sugar Beet (Beta vulgaris) Seeds by Multispectral Image Analysis

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

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