Use of quantitative colorimetry and visual evaluation for color characterization of triticale seeds after phenol reaction

Buratto, Juliana Sawada; Fernandes, Carlos Henrique dos Santos; Rosa, Jean Carlos Gomes; Vanzo, Aline Taiane de Freitas; Caviglione, João Henrique

doi:10.1590/2317-1545v43232700

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…Among the traits obtained by GroundEye ® , hue, CIELab-b, and circumference were those that most contributed to explaining genetic divergence between the families. Other authors described similar results using the GroundEye ® system to assess diversity based on the CIELab color system to differentiate seeds of different species (Krause et al 2017, Fachi et al 2019, Gentallan Junior et al 2019, Torres et al 2019, Buratto et al 2021. Fachi et al (2019) evaluated 98 FSFs of P. edulis and reported that the use of color and geometry descriptors, obtained by GroundEye ® , contributed to quantifying genetic divergence between families.…”

Section: Discussionmentioning

confidence: 85%

“…The use of the GroundEye ® system proved to be efficient in differentiating the FSFs of passion fruit based on geometric and color variables, as reported for other species. Buratto et al (2021) concluded that the CIELab color system is efficient and practical for classifying the color of triticale (Triticosecale wittmack) seeds subjected to the phenol test. The same was observed by Gentallan Junior et al (2019), who reported that the CIELab color system was efficient to distinguish different shades of brown in Pili (Canarium ovatum Engl.)…”

Section: Discussionmentioning

confidence: 99%

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Genetic divergence for seed traits in Passiflora full-sib families under recurrent selection for resistance to the cowpea aphid-borne mosaic virus

et al. 2023

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Investigating the physiological potential of seeds and genetic divergence between families is essential to identify promising materials for the generation of improved populations. This study was undertaken to examine the germination potential and estimate genetic divergence between Passiflora full-sib families (FSFs) based on physical and physiological seed traits. The experiment was consisted of 86 FSFs from the first cycle of recurrent selection for resistance to the cowpea aphid-borne mosaic virus. Seeds were evaluated for 19 physical and physiological traits. Dissimilarity estimates were obtained by generalized Mahalanobis distance, and the method unweighted pair group method with arithmetic mean was employed for cluster formation. The FSFs showed high germination potential and seed vigor, with mean of 92.4%, 5.68 e 5.81 cm for germination, germination speed index (GSI) and shoot length of seedlings, respectively. Cluster analysis resulted in four groups formed, being Group I composed by 68 FSF more the control Passiflora edulis. The trait 1,000-seed weight (TSW) was the trait that most contributed to explaining the dissimilarity between families, with 31.9%. The trait GSI (physiological), TSW (physical), as well as traits provided by the GroundEye ® system (CIELab-b, hue, and circumference of seeds), were efficient in determining genetic divergence detected between the families of passion fruit. These traits can be taken as a basis in the selection of genotypes with higher physiological seed quality.

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Section: Discussionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Genetic divergence for seed traits in Passiflora full-sib families under recurrent selection for resistance to the cowpea aphid-borne mosaic virus

et al. 2023

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“…This is especially a case when large diversity panels are characterized for seed traits and get grouped in a few classes based on such subjective assessment. Buratto et al (2021) proposed that qquantitative colourimetry can be used to characterize the colour of seeds. They compared visual colour evaluation and quantitative colourimetry of triticale seeds using the CIELAB colour space.…”

Section: Seed Colour Classes In Beansmentioning

confidence: 99%

A Low cost and high throughput spectroscopic method for quantification of seed coat colour differences in plain seeded bean (Phaseolus vulgaris L.) germplasm from Western Himalayan Kashmir

Sofi¹,

Khalid²,

Shafi³

et al. 2022

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Seed phenotyping is routinely done using visual assessment that suffers from subjectivity. In the present study we phenotyped 278 Western Himalayan bean accessions using a low cost spectroscopic method based on quantification of seed colour in terms of L*,a*,b* and δ E. There was substantial variation for L*, a*, b* and δ E parameters for all seven colour classes. The mean value for L* was lowest for red (31.31) and highest for white (78.17) and reverse in case of a*. Similarly, mean value for b* was lowest for black (-0.29) and highest for yellow (40.86). In terms of deviations from standard colours depicted by δ E, highest mean value was observed in red colour (6012.16) and lowest was recorded for green (18.36) with a mean of 2525.72 across all colours. The first two principal components accounted for 86.74% of variation. contributed by colour and L* in PC1 and b*, L* and a* in PC2. In the present study, based on the factor loading graph, colour is strongly correlated with L* as is evident from its significant contribution in both PC1 and PC2. The multivariate analysis clearly delineates the diversity panel of 278 genotypes into distinct colour groups as shown by concentration of genotypes of similar colour class into specific regions of four coordinates of biplot based on L*, a* and b* values and their observed relationship with colour scores. The method removes the subjectivity in visual colour specifications, is quantitative and can help in exact quantification of varietal differences.

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Quality of corn seed industrial seed treatment (IST) and on-farm treatment (OFT) in Brazilian agribusiness

et al. 2023

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Seed treatment is important for protecting seed and seedling from pests and/or pathogens. Seed treatment can be performed generally in two ways: industrial seed treatment (IST), performed by seed companies, or on-farm treatment (OFT). These treatment technologies will affect the final quality of the process. Therefore, the objective of this study was to characterize the seed quality profile of ISTs and OFTs in Brazilian agribusiness in terms of functional quality and dose application effectiveness (DAE). Seed samples treated by both processes were collected in 6 producing states of Brazil, Mato Grosso, Goiás, Paraná, Minas Gerais, São Paulo, and Santa Catarina. To evaluate the functional quality of the treatments, the coating percentage was determined by high-resolution image analysis with GroundEye® equipment, and the insecticide active ingredient DAE amount was determined with high-performance liquid chromatography (HPLC). Image analysis proved to be a promising technique to evaluate seed coating, in addition, samples treated with “on farm” technology had greater variation and heterogeneity in coating and active ingredient dose, while samples treated industrially showed greater homogeneity, uniformity, effectiveness of applied products. There was a strong positive correlation between coating with phytosanitary products and DAE in treated corn seeds, important parameters in the evaluation of the quality of the treatment.

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Use of quantitative colorimetry and visual evaluation for color characterization of triticale seeds after phenol reaction

Cited by 3 publications

References 9 publications

Genetic divergence for seed traits in Passiflora full-sib families under recurrent selection for resistance to the cowpea aphid-borne mosaic virus

Genetic divergence for seed traits in Passiflora full-sib families under recurrent selection for resistance to the cowpea aphid-borne mosaic virus

A Low cost and high throughput spectroscopic method for quantification of seed coat colour differences in plain seeded bean (Phaseolus vulgaris L.) germplasm from Western Himalayan Kashmir

Quality of corn seed industrial seed treatment (IST) and on-farm treatment (OFT) in Brazilian agribusiness

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