USE OF SOFT X-RAY RADIOGRAPHY FOR STUDYING SEED QUALITY IN HORTICULTURE

1987 ◽  
pp. 153-158 ◽  
Author(s):  
A. Chavagnat
Keyword(s):  
2021 ◽  
Vol 164 ◽  
pp. 113378 ◽  
Author(s):  
André Dantas de Medeiros ◽  
Rodrigo Cupertino Bernardes ◽  
Laércio Junio da Silva ◽  
Bruno Antônio Lemos de Freitas ◽  
Denise Cunha Fernandes dos Santos Dias ◽  
...  

2020 ◽  
Author(s):  
Vitor J Bianchini ◽  
Gabriel M Mascarin ◽  
Lúcia CAS Silva ◽  
Valter Arthur ◽  
Jean M Carstensen ◽  
...  

Abstract 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.


2020 ◽  
Author(s):  
Vitor J Bianchini ◽  
Gabriel M Mascarin ◽  
Lúcia CAS Silva ◽  
Valter Arthur ◽  
Jean M Carstensen ◽  
...  

Abstract 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.


2020 ◽  
Vol 27 (6) ◽  
pp. 1725-1729
Author(s):  
Zhengxian Qu ◽  
Yanbao Ma ◽  
Guanqun Zhou ◽  
Juhao Wu

Thermal load has been a haunting factor that undermines the brightness and coherence of the self-seeded X-ray free-electron laser. Different from uniformly pulsed mode, in pulse train mode a thermal quasi-steady state of the crystal monochromator may not be reached. This leads to a dynamic thermal distortion of the spectral transmission curves and seed quality degradation. In this paper, the pulse-to-pulse thermal load effects on the spectral transmission curves and seed quality are shown, and some instructive information for the tuning process is provided.


2020 ◽  
Author(s):  
Vitor J Bianchini ◽  
Gabriel M Mascarin ◽  
Lúcia CAS Silva ◽  
Valter Arthur ◽  
Jean M Carstensen ◽  
...  

Abstract Background: Jatropha curcas is an oilseed plant with great potential for biodiesel production. In agricultural industry, the seed quality is still estimated by manual inspection, using destructive, time-consuming and subjective tests that depend on the seed analyst experience. Recent advances in machine vision combined with artificial intelligence algorithms can provide spatial and spectral information for characterization of biological images, reducing subjectivity and optimizing the analysis process.Results: We present a new method for automatic characterization of jatropha seed quality, based on multispectral imaging (MSI) combined with X-ray imaging. We propose an approach along with X-ray images in order to investigate internal problems such as damages in the embryonic axis and endosperm, considering the fact that seed surface profiles can be negatively affected, but without reaching important internal regions of the seeds. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to classify spatial and spectral patters according to the classes of seed quality. Spectral reflectance signatures in a range of 780 to 970 nm and the X-ray images can efficiently predict quality traits such as normal seedlings, abnormal seedlings and dead seeds.Conclusions: MSI and X-ray images have a strong relationship with physiological performance of Jatropha curcas L. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of jatropha seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis.


2018 ◽  
Vol 40 (2) ◽  
pp. 118-126
Author(s):  
Natália Arruda ◽  
Silvio Moure Cicero ◽  
Francisco Guilhien Gomes Junior

Abstract: The polyembryony rate is a very important factor to consider when choosing a commercial rootstock. Currently, automated systems are used to improve seed quality analyses. X-ray testing is a fast, simple, non-destructive, high-precision test that allows to examine in detail the internal morphology of the seeds to identify damaged areas, their location and types of damage. In this context, the present research aimed to verify the possibility of using X-ray test to evaluate the polyembryony in Swingle citrumelo seeds. Seeds from seven lots were submitted to X-ray tests, direct method (embryo counts) and indirect method (germination). According to the results obtained, it was observed that there was a high coincidence between the number of embryos per seed analyzed using X-ray test and the direct method. Radiographic image analysis is efficient to evaluate the polyembryony in seeds of Swingle citrumelo.


2021 ◽  
Vol 43 ◽  
Author(s):  
Alessandra da Silva Ribeiro ◽  
Tássia Fernanda Santos Neri ◽  
André Dantas de Medeiros ◽  
Carla do Carmo Milagres ◽  
Laércio Junio da Silva

Abstract: Technologies based on electromagnetic radiation, such as the X-ray technique, has contributed to the establishment of new and promising methodologies for evaluating seed quality. This study aimed to relate parameters based on semi-automated analysis of radiographs of crambe seeds to their physiological quality. Radiographic images of seeds from 10 seed lots of cultivar FMS Brilhante were semi-automatically analyzed using ImageJ® software. Measurements of morphometric characteristics and tissue integrity were obtained for the seeds, as well as individually for the seed embryo. Following X-ray test, the seeds were subject to germination and seedling growth test. It was possible to visualize the internal structures of the seeds in the radiographs. There were differences in the physical parameters obtained by the semi-automated analysis of the radiographs between the seed lots. Also, the lots differed regarding the physiological quality of the seeds. Morphometric characteristics and tissue integrity, especially for the seed embryo, showed high correlation with the seed physiological quality. Therefore, this work presents an efficient approach to rapid and non-destructively assess the quality of crambe seeds.


Author(s):  
К.Ч. Нгуен ◽  
С.Г. Сахарова ◽  
Н.С. Прияткин ◽  
А.В. Жигунов

Представлены результаты рентгенографических исследований семян эвкоммии вязолистной (Eucommia ulmoides Oliv.), которые характеризуются очень глубоким покоем. Опыты проводились на семенах разного географического происхождения: Россия (г. Кропоткин, Северный Кавказ) и Республика Вьетнам (провинция Лайтяу). Семена на Северном Кавказе были собраны с поверхности земли в феврале и поэтому прошли под снежным покровом естественную стратификацию, а семена в провинции Лайтяу были собраны с деревьев после их созревания и хранились до проведения анализа в сухом, не стратифицированном состоянии. Описаны типы идентифицированных скрытых дефектов семян. Приведены данные индивидуальных рентгеновских характеристик каждого исследованного семени («параметрический паспорт»). По наличию дефектов можно сделать заключение, что семена из провинции Лайтяу должны характеризоваться лучшими посевными качествами, по сравнению с семенами из г. Кропоткина. Различия в биометрических параметрах двухлетних сеянцев эвкоммии вязолистной разного географического происхождения не достоверны. Однако всхожесть семян из г. Кропоткина значительно выше, чем из Лайтяу. Это можно объяснить различной степенью естественной подготовленности семян к посеву. Результаты рентгенографического анализа стратифицированных семян E. ulmoides из г. Кропоткина совпадают с результатами их проращивания. Однако оценка жизнеспособности семян эвкоммии, не подвергнутых стратификации, по результатам определения их доброкачественности рентгенографическим методом не представляется возможной. Для получения всхожести семян, соответствующей потенциалу их посевных качеств (согласно проведенному рентгеноскопическому анализу) для семян Eucommia, рекомендуется длительная (не менее 3–4 мес.) холодная стратификация. The results of X-ray studies of Eucommia ulmoides Oliv. seeds, which are characterized by very deep dormancy, are presented. The experiments were carried out on seeds of different geographic origins: Russia (Kropotkin, North Caucasus) and the Republic of Vietnam (Laitau province). Seeds in the North Caucasus were collected from the surface of the earth in February and therefore underwent natural stratification under the snow cover, while seeds in Laitau province were collected from trees after they matured and stored in a dry, non-stratified state until analysis. The types of identified hidden seed defects are described. The data of individual X-ray characteristics of each investigated seed («parametric passport») are given. Based on the presence of defects, it can be concluded that seeds from the Laityau province should have better sowing qualities compared to seeds from Kropotkin. Differences in the biometric parameters of two-year-old eucommia seedlings of different geographic origin are not significant. However, the germination rate of seeds from Kropotkin is much higher than their Laiteau. This can be explained by the varying degrees of natural readiness of the seeds for sowing. The results of X-ray analysis of stratified seeds of E. ulmoides from Kropotkin coincide with the results of their germination. However, it is not possible to assess the viability of eukomia seeds not subjected to stratification based on the results of determining their good quality by the X-ray method. To obtain the germination of seeds corresponding to the potential of their sowing qualities (according to the performed X-ray analysis) for Eucommia seeds, a long-term (at least 3–4 months) cold stratification is recommended.


2018 ◽  
Vol 48 (4) ◽  
pp. 461-467
Author(s):  
Rogério Luciano Severiano ◽  
Paloma Rayane Pinheiro ◽  
Francisco Guilhien Gomes Júnior ◽  
Andréa Celina Ferreira Demartelaere ◽  
Márcio Dias Pereira

ABSTRACT The germination of papaya seeds is slow and uneven, usually due to inhibitors present in the sarcotesta; however, some removal procedures may cause physical damage, negatively interfering in the physiological quality and field performance. This study aimed to evaluate the physical and physiological quality of papaya seeds submitted to methods of sarcotesta removal by image analysis. Papaya Formosa ‘Tainung 01' seeds were submitted to the following methods of sarcotesta removal: fermentation + sieve, sand + sieve, sieve and blender + sieve. After the sarcotesta removal, the seeds were submitted to tests of germination, first germination count, germination speed and seedling length. For the image analysis, the seeds without sarcotesta were submitted to the X-ray test and to a computerized analysis of seedling images by the SVIS® software. The methods used were only promising for the sarcotesta removal, while the blender + sieve method obtained the highest physical and physiological seed quality, in addition to performing the best sarcotesta removal. However, the image analysis using the SVIS® software allowed to identify the high physical and physiological seed quality using the blender + sieve method, which promoted the highest efficiency in removing the sarcotesta.


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