Morpho-colorimetric characterization by image analysis to identify diaspores of wild plant species

Bacchetta, Gianluigi; Grillo, Oscar; Mattana, Efisio; Venora, Gianfranco

doi:10.1016/j.flora.2007.11.004

Cited by 59 publications

(58 citation statements)

References 15 publications

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“…Electronic tools have provided the possibility of replacing human visual assessment, and this has spurred a wealth of research in this area (Bacchetta et al 2008). Image analysis is being used for the inspection of various agricultural products such as fruit (Schatzki et al 1997), vegetables (Zhang et al 2003) andcereals (Liao et al 1994;Sainis et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Characterization of the lentil landrace Santo Stefano di Sessanio from Abruzzo, Italy

Torricelli

Silveri

Ferradini

et al. 2011

Genet Resour Crop Evol

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In the world lentil is grown on more than 3 million hectares and is one of the most important, lowcost, food source of protein. In Italy lentil has been cultivated since ancient times, but in the last decades its cultivation has been confined to marginal areas, small islands and hilly, mountainous areas of central and southern Italy. Local varieties are still common and are often greatly appreciated for their taste and cooking qualities. Several accessions from the Santo Stefano di Sessanio area, Abruzzo Region, were collected and phenotypically and genotypically characterized in order to look for the existing variability within and between populations. Image analysis of seeds was also used. Populations grown in Santo Stefano di Sessanio and in the neighbouring area basically share most of their characteristics. However, some of the accessions anonymously gathered from the local market were shown to be different from those collected from farmers. The paper reports and discusses how this local product needs be characterized and promoted in order to avoid fraud that could negatively affect the local economy and put valuable, adapted, genetic resources at risk of erosion.

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Section: Introductionmentioning

confidence: 99%

Characterization of the lentil landrace Santo Stefano di Sessanio from Abruzzo, Italy

Torricelli

Silveri

Ferradini

et al. 2011

Genet Resour Crop Evol

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“…The Stepwise Linear Discriminant analysis carried out for all the features measured on this work, increase the performance of the correct classification between the seeds of the two taxa at the 100% (Fig. 3), on respect of the 98.5% obtained in Bacchetta & al. (2008).…”

Section: Resultsmentioning

confidence: 61%

“…The germplasm image analysis system carried out to identify diaspores of wild plant species (see Bacchetta & al., 2008) and here modified with the adding of new 20 features and also applied on fruits, confirm to be a helpful tool on taxonomic studies with high performances of correct classification and the comparison with SEM images show also how this system is able to discriminate very similar seeds.…”

Section: Discussionmentioning

confidence: 99%

“…The KS-400 can be customized for specific applications by editing appropriate image analysis algorithms in 'macros', that allow to make the analysis automatically. In order to achieve the relative dimensions, shapes and colour (RGB -Red Green Blue and HLS -Hue Light Saturation channels) measures of the individual objects (seeds and fruits) a macro, formerly developed for identify diaspores of wild plants species (Bacchetta & al., 2008), was specially modified, adding 20 new seed features. The 34 measured features for each accession are shown in Table 2, 33 were recorded on seeds and 1 specific on fruits.…”

Section: Methodsmentioning

confidence: 99%

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Germplasm image analysis of Astragalus maritimus and A. verrucosus of Sardinia (subgen. Trimeniaeus, Fabaceae)

Mattana¹,

Grillo²,

Venora³

et al. 2008

Anal. Jard. Bot. Madr.

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The relationships between A. verrucosus Moris and A. maritimus Moris, exclusively endemics of Sardinia, are studied with a germplasm image analysis system. Morphometric and colorimetric features of the seeds and fruits of the two taxa have been studied and statistically elaborated to verify and confirm the validity of these species and to improve the performance of the correct classification of the image analysis system, previously elaborated to be a tool for taxonomic studies.

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“…Seeds of 21 populations belonging to the five studied taxa were collected in the field (Table 1) and stored in the Sardinian Germplasm Bank (BG-SAR), according to Bacchetta et al (2008). Digital images of seed samples were acquired using a flatbed scanner (Epson GT-15000) with a digital resolution of 200 dpi and a scanning area not exceeding 1024 × 1024 pixel.…”

Section: Methodsmentioning

confidence: 99%

Seed image analysis provides evidence of taxonomical differentiation within the Lavatera triloba aggregate (Malvaceae)

Bacchetta¹,

García²,

Grillo³

et al. 2011

Flora - Morphology, Distribution, Functional Ecology of Plants

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Morpho-colorimetric characterization by image analysis to identify diaspores of wild plant species

Cited by 59 publications

References 15 publications

Characterization of the lentil landrace Santo Stefano di Sessanio from Abruzzo, Italy

Characterization of the lentil landrace Santo Stefano di Sessanio from Abruzzo, Italy

Germplasm image analysis of <i>Astragalus maritimus</i> and <i>A. verrucosus</i> of Sardinia (subgen. <i>Trimeniaeus</i>, Fabaceae)

Seed image analysis provides evidence of taxonomical differentiation within the Lavatera triloba aggregate (Malvaceae)

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