Microscopy techniques and image analysis for evaluation of some chemical and physical properties and morphological features for seeds of the castor oil plant (Ricinus communis)

Perea-Flores, María de Jesús; Chanona-Pérez, Jorge; Garibay-Febles, V.; Calderón‐Domínguez, Georgina; Térres‐Rojas, Eduardo; Mendoza-Pérez, Jorge A.; Herrera-Bucio, Rafael

doi:10.1016/j.indcrop.2011.03.015

Cited by 41 publications

(36 citation statements)

References 34 publications

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“…Failures in the procedure of outlining roots cause underestimation of surface area. In other agronomic studies, such as that of Perea-Flores et al (2011), in which ImageJ was used to estimate the surface area of round-shaped seeds, image outlining seems to be easier.…”

Section: Resultsmentioning

confidence: 99%

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Public-domain software for root image analysis

Costa

Cunha

Jorge

et al. 2014

Rev. Bras. Ciênc. Solo

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SUMMARYIn the search for high efficiency in root studies, computational systems have been developed to analyze digital images. ImageJ and Safira are public-domain systems that may be used for image analysis of washed roots. However, differences in root properties measured using ImageJ and Safira are supposed. This study compared values of root length and surface area obtained with public-domain systems with values obtained by a reference method. Root samples were collected in a banana plantation in an area of a shallower Typic Carbonatic Haplic Cambisol (CXk), and an area of a deeper Typic Haplic Ta Eutrophic Cambisol (CXve), at six depths in five replications. Root images were digitized and the systems ImageJ and Safira used to determine root length and surface area. The line-intersect method modified by Tennant was used as reference; values of root length and surface area measured with the different systems were analyzed by Pearson's correlation coefficient and compared by the confidence interval and t-test. Both systems ImageJ and Safira had positive correlation coefficients with the reference method for root length and surface area data in CXk and CXve. The correlation coefficient ranged from 0.54 to 0.80, with lowest value observed for ImageJ in the measurement of surface area of roots sampled in CXve. The IC (95 %) revealed that root length measurements with Safira did not differ from that with the reference method in CXk (-77.3 to 244.0 mm). Regarding surface area measurements, Safira did not differ from the reference method for samples collected in CXk (-530.6 to 565.8 mm 2 ) as well as in CXve (-4231 to 612.1 mm 2 ). However, measurements with ImageJ were different from those obtained by the reference method, underestimating length and surface area in samples collected in CXk and CXve. Both ImageJ and Safira allow an identification of increases or decreases in root length and surface area. However, Safira results for root length and surface area are closer to the results obtained with the reference method.Index terms: root length, root surface area, image processing, root system.

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Section: Resultsmentioning

confidence: 99%

“…It has already been used for image analysis in medical (Karmonik et al, 2010) and agronomic (Perea-Flores et al, 2011) studies, with potential for use in studies on plant root systems.…”

Section: Introductionmentioning

confidence: 99%

Public-domain software for root image analysis

Costa

Cunha

Jorge

et al. 2014

Rev. Bras. Ciênc. Solo

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“…True seed density was 1458 ± 27 kg m −3 , bulk density was 538 ± 11 kg m −3 , and thickness of seed coat was 281.97 ± 13.21 μm. The lipid bodies in castor seed's endosperm were also bigger (12.63 ± 1.30 μm in diameter) than other oilseeds such as peanut ( Arachis hypogaea L.) (Perea‐Flores et al, 2011).…”

Section: Geneticsmentioning

confidence: 95%

A Review on the Challenges for Increased Production of Castor

et al. 2012

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Castor (Ricinus communis L.) is one of the oldest cultivated crops, but currently it represents only 0.15% of the vegetable oil produced in the world. Castor oil is of continuing importance to the global specialty chemical industry because it is the only commercial source of a hydroxylated fatty acid. Castor also has tremendous future potential as an industrial oilseed crop because of its high seed oil content (more than 480 g kg−1), unique fatty acid composition (900 g kg−1 of ricinoleic acid), potentially high oil yields (1250–2500 L ha−1), and ability to be grown under drought and saline conditions. The scientific literature on castor has been generated by a relatively small global community of researchers over the past century. Much of this work was published in dozens of languages in journals that are not easily accessible to the scientific community. This review was conducted to provide a compilation of the most relevant historic research information and define the tremendous future potential of castor. The article was prepared by a group of 22 scientists from 16 institutions and eight countries. Topics discussed in this review include: (i) germplasm, genetics, breeding, biotic stresses, genome sequencing, and biotechnology; (ii) agronomic production practices, diseases, and abiotic stresses; (iii) management and reduction of toxins for the use of castor meal as both an animal feed and an organic fertilizer; (iv) future industrial uses of castor including renewable fuels; (v) world production, consumption, and prices; and (vi) potential and challenges for increased castor production.

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“…Image size was adjusted to 640 x 480 pixels in red, green and blue (RGB), following the protocol de-scribed by Medina et al, (2010). Seed parameters obtained were length (L), width (W), area, perimeter, and thickness; while mathematical equations below were used to calculate, Feret diameter (DF), elongation index (EI), roundness index (RI) and compaction index (CI) (Wilcox et al, 2002;Isaza et al, 2017):…”

Section: Morphometric Characterization By Image Analysismentioning

confidence: 99%

Physicochemical characteristics of seeds from wild and cultivated castor bean plants (Ricinus communis L.)

et al. 2018

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The castor (Ricinus communis L.) is an oilseed plant whose main features are its drought resistance, and its adaptation to eroded, polluted, and low fertility soils. Its oil has a great demand in the industrial sector and it has recently attracted considerable interest for its use in the production of biodiesel and jet fuel. In this study, morphological, physical and chemical characterizations were performed to ascertain the quality of wild (VQ-1) and under cultivation (VQ-7) oil castor seeds. The results showed that there are differences in the morphological and physicochemical characteristics regarding oil content ( ), and acidity index (0,9918 vs 0,5440 mg KOH/g) for VQ-1 and VQ-7, respectively. Growing conditions to which castor plants were subjected may influence both the final quality of seeds and chemical properties of the oil.Keywords: characterization of seed, oil quality, castor seed chemistry. RESUMENLa higuerilla (Ricinus communis L.) es una planta oleaginosa cuyas principales características son su resistencia a la sequía y su adaptación a suelos erosionados, contaminados y de baja fertilidad. Su aceite tiene una gran demanda en el sector industrial y recientemente ha despertado un gran interés para ser utilizado en la producción de biodiesel y bioturbosina. En esta investigación, se realizaron caracterizaciones morfológicas, físicas y químicas de la semilla, así como una evaluación de la calidad del aceite de semillas silvestres (VQ-1) y bajo cultivo (VQ-7). Los resultados demostraron diferencias en las características morfológicas y físico-químicas con respecto al contenido de aceite (44,95 vs 33,84 %), cenizas (3,20 vs 2,42 %) y el peso de 100 semillas (45,87 vs 54,23 g); se observó un comportamiento similar en la caracterización del aceite: viscosidad cinemática (269,67 vs 266,44 mm 2 /s), densidad (0,9389 vs 0,9465 g/cm 3 ) e índice de acidez (0,9918 vs 0,5440 mg KOH g), respectivamente para VQ-1 y VQ-7. Las condiciones de crecimiento a las cuales fueron sometidas las plantas de ricino pueden influir en la calidad final de las semillas y propiedades químicas del aceite.Palabras clave: calidad de aceite, caracterización de semilla, química del ricino.

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Microscopy techniques and image analysis for evaluation of some chemical and physical properties and morphological features for seeds of the castor oil plant (Ricinus communis)

Cited by 41 publications

References 34 publications

Public-domain software for root image analysis

Public-domain software for root image analysis

A Review on the Challenges for Increased Production of Castor

Physicochemical characteristics of seeds from wild and cultivated castor bean plants (Ricinus communis L.)

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