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Abstract
Quinoa is a crop originating in the Andes but grown more widely and with the genetic potential for significant further expansion. Due to the phenotypic plasticity of quinoa, varieties need to be assessed across years and multiple locations. To improve comparability among field trials across the globe and to facilitate collaborations, components of the trials need to be kept consistent, including the type and methods of data collected. Here, an [ver mas...]
dc.contributor.authorStanschewski, Clara S.
dc.contributor.authorRey, Elodie
dc.contributor.authorFiene, Gabriele
dc.contributor.authorCraine, Evan B.
dc.contributor.authorWellman, Gordon
dc.contributor.authorMelino, Vanessa J.
dc.contributor.authorPatiranage, Dilan S.R.
dc.contributor.authorJohansen, Kasper
dc.contributor.authorSchmöckel, Sandra M.
dc.contributor.authorErazzu, Luis Ernesto
dc.contributor.authorTester, Mark
dc.date.accessioned2022-05-03T12:57:11Z
dc.date.available2022-05-03T12:57:11Z
dc.date.issued2021-08
dc.identifier.issn2223-7747
dc.identifier.otherhttps://doi.org/10.3390/plants10091759
dc.identifier.urihttp://hdl.handle.net/20.500.12123/11789
dc.identifier.urihttps://www.mdpi.com/2223-7747/10/9/1759
dc.description.abstractQuinoa is a crop originating in the Andes but grown more widely and with the genetic potential for significant further expansion. Due to the phenotypic plasticity of quinoa, varieties need to be assessed across years and multiple locations. To improve comparability among field trials across the globe and to facilitate collaborations, components of the trials need to be kept consistent, including the type and methods of data collected. Here, an internationally open-access framework for phenotyping a wide range of quinoa features is proposed to facilitate the systematic agronomic, physiological and genetic characterization of quinoa for crop adaptation and improvement. Mature plant phenotyping is a central aspect of this paper, including detailed descriptions and the provision of phenotyping cards to facilitate consistency in data collection. High-throughput methods for multi-temporal phenotyping based on remote sensing technologies are described. Tools for higher-throughput post-harvest phenotyping of seeds are presented. A guideline for approaching quinoa field trials including the collection of environmental data and designing layouts with statistical robustness is suggested. To move towards developing resources for quinoa in line with major cereal crops, a database was created. The Quinoa Germinate Platform will serve as a central repository of data for quinoa researchers globally.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherMDPIes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcePlants 10 (9) : 1759 (August 2021)es_AR
dc.subjectQuinoaes_AR
dc.subjectChenopodium quinoaes_AR
dc.subjectGenéticaes_AR
dc.subjectGeneticseng
dc.subjectFenotiposes_AR
dc.subjectPhenotypeseng
dc.subjectDiversidad Genética (como recurso)es_AR
dc.subjectGenetic Diversity (as resource)eng
dc.subjectTeledetecciónes_AR
dc.subjectRemote Sensingeng
dc.subject.otherQuinuaes_AR
dc.titleQuinoa Phenotyping Methodologies: An International Consensuses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenEEA Famailláes_AR
dc.description.filFil: Stanschewski, Clara S. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Sauditaes_AR
dc.description.filFil: Rey, Elodie. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Sauditaes_AR
dc.description.filFil: Fiene, Gabriele. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Sauditaes_AR
dc.description.filFil: Craine, Evan B. Washington State University. Department of Crop and Soil Sciences; Estados Unidoses_AR
dc.description.filFil: Wellman, Gordon. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Sauditaes_AR
dc.description.filFil: Melino, Vanessa J. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Sauditaes_AR
dc.description.filFil: Patiranage, Dilan S.R. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Sauditaes_AR
dc.description.filFil: Patiranage, Dilan S.R. Christian-Albrechts-University of Kiel. Plant Breeding Institute; Alemaniaes_AR
dc.description.filFil: Johansen, Kasper. King Abdullah University of Science and Technology. Water Desalination and Reuse Center; Arabia Sauditaes_AR
dc.description.filFil: Schmöckel, Sandra M. University of Hohenheim. Institute of Crop Science. Department Physiology of Yield Stability; Alemaniaes_AR
dc.description.filFil: Erazzu, Luis Ernesto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Famaillá; Argentina.es_AR
dc.description.filFil: Tester, Mark. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Sauditaes_AR
dc.subtypecientifico


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