Quinoa Phenotyping Methodologies: An International Consensus
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 glob...
| Main Authors: | , , , , , , , , , , |
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| Format: | Artículo |
| Language: | Inglés |
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MDPI
2022
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| Online Access: | http://hdl.handle.net/20.500.12123/11789 https://www.mdpi.com/2223-7747/10/9/1759 https://doi.org/10.3390/plants10091759 |
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| author | Stanschewski, Clara S. Rey, Elodie Fiene, Gabriele Craine, Evan B. Wellman, Gordon Melino, Vanessa J. Patiranage, Dilan S.R. Johansen, Kasper Schmöckel, Sandra M. Erazzu, Luis Ernesto Tester, Mark |
| author_browse | Craine, Evan B. Erazzu, Luis Ernesto Fiene, Gabriele Johansen, Kasper Melino, Vanessa J. Patiranage, Dilan S.R. Rey, Elodie Schmöckel, Sandra M. Stanschewski, Clara S. Tester, Mark Wellman, Gordon |
| author_facet | Stanschewski, Clara S. Rey, Elodie Fiene, Gabriele Craine, Evan B. Wellman, Gordon Melino, Vanessa J. Patiranage, Dilan S.R. Johansen, Kasper Schmöckel, Sandra M. Erazzu, Luis Ernesto Tester, Mark |
| author_sort | Stanschewski, Clara S. |
| collection | INTA Digital |
| description | 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 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. |
| format | Artículo |
| id | INTA11789 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | INTA117892022-05-03T13:03:47Z Quinoa Phenotyping Methodologies: An International Consensus Stanschewski, Clara S. Rey, Elodie Fiene, Gabriele Craine, Evan B. Wellman, Gordon Melino, Vanessa J. Patiranage, Dilan S.R. Johansen, Kasper Schmöckel, Sandra M. Erazzu, Luis Ernesto Tester, Mark Quinoa Chenopodium quinoa Genética Fenotipos Diversidad Genética (como recurso) Teledetección Genetics Phenotypes Genetic Diversity (as resource) Remote Sensing Quinua 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 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. EEA Famaillá Fil: Stanschewski, Clara S. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Saudita Fil: Rey, Elodie. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Saudita Fil: Fiene, Gabriele. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Saudita Fil: Craine, Evan B. Washington State University. Department of Crop and Soil Sciences; Estados Unidos Fil: Wellman, Gordon. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Saudita Fil: Melino, Vanessa J. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Saudita Fil: Patiranage, Dilan S.R. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Saudita Fil: Patiranage, Dilan S.R. Christian-Albrechts-University of Kiel. Plant Breeding Institute; Alemania Fil: Johansen, Kasper. King Abdullah University of Science and Technology. Water Desalination and Reuse Center; Arabia Saudita Fil: Schmöckel, Sandra M. University of Hohenheim. Institute of Crop Science. Department Physiology of Yield Stability; Alemania Fil: Erazzu, Luis Ernesto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Famaillá; Argentina. Fil: Tester, Mark. King Abdullah University of Science and Technology. Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division; Arabia Saudita 2022-05-03T12:57:11Z 2022-05-03T12:57:11Z 2021-08 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/11789 https://www.mdpi.com/2223-7747/10/9/1759 2223-7747 https://doi.org/10.3390/plants10091759 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf MDPI Plants 10 (9) : 1759 (August 2021) |
| spellingShingle | Quinoa Chenopodium quinoa Genética Fenotipos Diversidad Genética (como recurso) Teledetección Genetics Phenotypes Genetic Diversity (as resource) Remote Sensing Quinua Stanschewski, Clara S. Rey, Elodie Fiene, Gabriele Craine, Evan B. Wellman, Gordon Melino, Vanessa J. Patiranage, Dilan S.R. Johansen, Kasper Schmöckel, Sandra M. Erazzu, Luis Ernesto Tester, Mark Quinoa Phenotyping Methodologies: An International Consensus |
| title | Quinoa Phenotyping Methodologies: An International Consensus |
| title_full | Quinoa Phenotyping Methodologies: An International Consensus |
| title_fullStr | Quinoa Phenotyping Methodologies: An International Consensus |
| title_full_unstemmed | Quinoa Phenotyping Methodologies: An International Consensus |
| title_short | Quinoa Phenotyping Methodologies: An International Consensus |
| title_sort | quinoa phenotyping methodologies an international consensus |
| topic | Quinoa Chenopodium quinoa Genética Fenotipos Diversidad Genética (como recurso) Teledetección Genetics Phenotypes Genetic Diversity (as resource) Remote Sensing Quinua |
| url | http://hdl.handle.net/20.500.12123/11789 https://www.mdpi.com/2223-7747/10/9/1759 https://doi.org/10.3390/plants10091759 |
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