Assessment of seed quality using non-destructive measurement techniques: a review

Rahman, Anisur; Cho, Byoung‐Kwan

doi:10.1017/s0960258516000234

Cited by 142 publications

(90 citation statements)

References 159 publications

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“…Therefore, the use of the X-ray technique is a viable alternative for evaluating seed vigor (RAHMAN, CHO, 2016). The X-ray technique is based on the absorption of these rays by the tissues, which are transposed to the image (radiography) in gray shades.…”

Section: Introductionmentioning

confidence: 99%

“…The X-ray technique is based on the absorption of these rays by the tissues, which are transposed to the image (radiography) in gray shades. In addition to being non-destructive, this technique has been efficient in identification of internal seed characteristics (RAHMAN;CHO, 2016), such as nutrient accumulation (CAPPA et al, 2015;RAMOS et al, 2016); modifications of embryo reserves (NIELSEN; DAMKJAER; FEIDENHANS'L, 2017), percentage of the space occupied in the internal cavity (NORONHA; MEDEIROS; PEREIRA, 2018) and physical damage that directly reflect on seed germination and vigor (ABUD; CICERO; .…”

Section: Introductionmentioning

confidence: 99%

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Non-destructive identification of physical damage in mung bean (Vigna radiata L.) seeds by X-ray image analysis

et al. 2020

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Global demand for pulses such as the mung bean has grown in the last years. For successful production of these crops it is necessary to use high quality seeds. Methodologies based on X-ray image analysis have been used as a complementary tool to evaluate the physical quality of seeds due to their speed and potential for automation. The aim of this study was to evaluate the efficiency of X-ray analysis for non-destructive evaluation of the physical quality of Vigna radiata seeds and to relate the variables obtained with their physiological potential. For this, seeds from eight lots were X-rayed and subsequently subject to germination test. In total, 18 physical and physiological parameters were determined. The X-ray image analysis was efficient for evaluating the internal morphology of Vigna radiata seeds and allowed the identification of various damage types. However, it was not possible to relate the physical variables to the seed quality as the lots presented similar germination percentage. Physical variables such as solidity and circularity are related to percentage of root protrusion and length of seedling hypocotyl. Low relative densities indicate deteriorated tissues, related to severe morphological damage and non-viable seeds.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-destructive identification of physical damage in mung bean (Vigna radiata L.) seeds by X-ray image analysis

et al. 2020

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“…In previous studies, fat was the main molecule mobilized during germination of Cereus jamacaru seeds [23]. Hence, seed oil content is an important seed quality parameter in oilseed species [7].…”

Section: Discussionmentioning

confidence: 94%

Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality

Bianchini

Mascarin

Silva

et al. 2020

Preprint

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Background: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and optimizing the analysis process. Furthermore, the combination of two or more imaging techniques has contributed to discovering new physicochemical tools and interpreting datasets in real time.Results: We present a new method for automatic characterization of seed quality based on the combination of multispectral and X-ray imaging technologies. We proposed an approach using X-ray images to investigate internal tissues because seed surface profile can be negatively affected, but without reaching important internal regions of seeds. An oilseed plant (Jatropha curcas) was used as a model species, which also serve as a multi-purposed crop of economic importance worldwide. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to obtain spatial and spectral patterns on different seedlots. We developed classification models using reflectance data and X-ray classes based on linear discriminant analysis (LDA). The classification models, individually or combined, showed high accuracy (>0.96) using reflectance at 940 nm and X-ray data to predict quality traits such as normal seedlings, abnormal seedlings and dead seeds. Conclusions: Multispectral and X-ray imaging have a strong relationship with seed physiological performance. Reflectance at 940 nm and X-ray data can efficiently predict seed quality attributes. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis.

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“…Seed viability refers to the ability of the seed to germinate under suitable conditions (Bradbeer, 1988). In addition, seed quality has a pronounced effect on the development and productivity of an agricultural crop (Rahman and Cho, 2016).…”

Section: Introductionmentioning

confidence: 99%

Research Article Consequences of accelerated aging for DNA integrity and seed germination of cowpea

Santos¹,

Gimenes²,

Junior³

et al. 2019

Genet. Mol. Res.

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turn, was reflected in a progressive decrease in seed vigor. The combination of 35ºC/48 h was the most efficient for evaluating vigor in cowpea. The BR 17 Gurgueia and BRS-Guariba cultivars showed the highest values of vigor. A lack of DNA degradation in the laddering pattern on an electrophoresis gel is an indicator that DNA degradation and cell death in cowpea seeds did not occur by apoptosis but by nonprogrammed processes, such as Maillard reactions, lipid peroxidation and hydrolysis of sugars.

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Assessment of seed quality using non-destructive measurement techniques: a review

Cited by 142 publications

References 159 publications

Non-destructive identification of physical damage in mung bean (Vigna radiata L.) seeds by X-ray image analysis

Non-destructive identification of physical damage in mung bean (Vigna radiata L.) seeds by X-ray image analysis

Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality

Research Article Consequences of accelerated aging for DNA integrity and seed germination of cowpea

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