Morpho-densitometric traits for quinoa (Chenopodium quinoa Willd.) seed phenotyping by two X-ray micro-CT scanning approaches

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dc.contributor.author Gargiulo, Laura
dc.contributor.author Grimberg, Asa
dc.contributor.author Repo-Carrasco-Valencia, Ritva
dc.contributor.author Carlsson, Anders S.
dc.contributor.author Mele, Giacomo
dc.date.accessioned 2020-05-13T22:45:31Z
dc.date.available 2020-05-13T22:45:31Z
dc.date.issued 2019
dc.identifier.citation Gargiulo, Laura; Grimbergb, Asa; Repo-Carrasco-Valenciac, Ritva; Carlsson, Anders S. y Mele Giacomo.(2019). Morpho-densitometric traits for quinoa (Chenopodium quinoa Willd.) seed phenotyping by two X-ray micro-CT scanning approaches. Journal of Cereal Science 90(2019) 102829. https://doi.org/10.1016/j.jcs.2019.102829 es_PE
dc.identifier.issn 0733-5210
dc.identifier.uri http://repositorio.lamolina.edu.pe/handle/UNALM/4360
dc.description Universidad Nacional Agraria La Molina. Facultad de Industrias Alimentarias es_PE
dc.description.abstract Recent studies are increasingly focusing on quinoa (Chenopodium quinoa) as a high-quality protein-rich food source and, in general, on seed quality. This latter is a complex trait difcult to characterize with standard measurements or analyses. X-ray micro-CT allows to visualise the internal structure of small objects and has been already used in seed research, mostly for maize kernel characterization. To date this technique has not yet been applied to study quinoa seeds, despite the increasing interest for their nutritional properties. The aim of this work was to explore the use of X-ray icrotomography to provide new traits improving the seed phenotyping of quinoa. Two different scanning approaches have been compared: one based on the simultaneous scanning of multiple seeds (30) at lower resolution (20 μm voxel size) and one based on the scanning of a single seed at higher resolution (2 μm voxel size). Such approaches were tested on a study case consisting of four different quinoa genotypes. Among the measured morpho-densitometric parameters, the embryo volume and weight ratios (derived from bulk and single seed scanning, respectively) showed high positive correlation with the total protein content, while the thickest fraction of the pericarp was the best correlated with the presence of saponins en_US
dc.format application/pdf en_US
dc.language.iso eng en_US
dc.publisher Elsevier es_PE
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0733521019303728 es_PE
dc.rights info:eu-repo/semantics/openAccess en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.source Universidad Nacional Agraria La Molina es_PE
dc.source Repositorio institucional - UNALM es_PE
dc.subject Chenopodium quinoa es_PE
dc.subject Semillas es_PE
dc.subject Variación genética es_PE
dc.subject Fenotipos es_PE
dc.subject Radiación es_PE
dc.subject Fitomejoramiento es_PE
dc.subject Rayos-X es_PE
dc.subject Perú es_PE
dc.subject Evaluación es_PE
dc.subject Quinua es_PE
dc.title Morpho-densitometric traits for quinoa (Chenopodium quinoa Willd.) seed phenotyping by two X-ray micro-CT scanning approaches es_PE
dc.type info:eu-repo/semantics/article en_US
dc.identifier.doi https://doi.org/10.1016/j.jcs.2019.102829 es_PE
thesis.degree.grantor Universidad Nacional Agraria La Molina. Facultad de Industrias Alimentarias es_PE
dc.subject.ocde Alimentos y bebidas es_PE


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    Centro de Investigacion e Innovación en Productos Derivados de Cultivos Andinos

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info:eu-repo/semantics/openAccess Except where otherwise noted, this item's license is described as info:eu-repo/semantics/openAccess

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