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3D characterization of walnut morphological traits using X-ray computed tomography

hal.structure.identifierBiologie du fruit et pathologie [BFP]
hal.structure.identifierCtifl - Centre de Lanxade [Ctifl - Centre de Lanxade ]
dc.contributor.authorBERNARD, Anthony
hal.structure.identifierGEVES Station nationale d'essais de semences
dc.contributor.authorHAMDY, Sherif
hal.structure.identifierGEVES Station nationale d'essais de semences
dc.contributor.authorLE CORRE, Laurence
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorDIRLEWANGER, Elisabeth
hal.structure.identifierCtifl - Centre de Lanxade [Ctifl - Centre de Lanxade ]
dc.contributor.authorLHEUREUX, Fabrice
dc.date.issued2020
dc.identifier.issn1746-4811
dc.description.abstractEnBackground: Walnuts are grown worldwide in temperate areas and producers are facing an increasing demand. In a climate change context, the industry also needs cultivars that provide fruits of quality. This quality includes satisfactory filling ratio, thicker shell, ease of cracking, smooth shell and round-shaped walnut, and larger nut size. These desirable traits have been analysed so far using calipers or micrometers, but it takes a lot of time and requires the destruction of the sample. A challenge to take up is to develop an accurate, fast and non-destructive method for quality-related and morphometric trait measurements of walnuts, that are used to characterize new cultivars or collections in any germplasm management process. Results: In this study, we develop a method to measure different morphological traits on several walnuts simultaneously such as morphometric traits (nut length, nut face and profile diameters), traits that previously required opening the nut (shell thickness, kernel volume and filling kernel/nut ratio) and traits that previously were difficult to quantify (shell rugosity, nut sphericity, nut surface area and nut shape). These measurements were obtained from reconstructed 3D images acquired by X-ray computed tomography (CT). A workflow was created including several steps: noise elimination, walnut individualization, properties extraction and quantification of the different parts of the fruit. This method was applied to characterize 50 walnuts of a part of the INRAE walnut germplasm collection made of 161 unique accessions, obtained from the 2018 harvest. Our results indicate that 50 walnuts are sufficient to phenotype the fruit quality of one accession using X-ray CT and to find correlations between the morphometric traits. Our imaging workflow is suitable for any walnut size or shape and provides new and more accurate measurements. Conclusions: The fast and accurate measurement of quantitative traits is of utmost importance to conduct quantitative genetic analyses or cultivar characterization. Our imaging workflow is well adapted for accurate phenotypic characterization of a various range of traits and could be easily applied to other important nut crops.
dc.description.sponsorshipCentre français de phénomique végétale - ANR-11-INBS-0012
dc.language.isoen
dc.publisherBioMed Central
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subjectFruit à coque
dc.subjectarbre fruitier
dc.subjectClimat -- Changements
dc.subject.enWalnut
dc.subject.enGermplasm collection
dc.subject.enMorphological traits
dc.subject.enX-ray computed tomography
dc.subject.en3D characterization
dc.subject.enImage analysis
dc.title.en3D characterization of walnut morphological traits using X-ray computed tomography
dc.typeArticle de revue
dc.identifier.doi10.1186/s13007-020-00657-7
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale/Amélioration des plantes
bordeaux.journalPlant Methods
bordeaux.page115
bordeaux.volume16
bordeaux.peerReviewedoui
hal.identifierhal-02929266
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02929266v1
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