Quinoa phenotyping methodologies: An international consensus
- Autores
- Stanschewski, Clara S.; Rey, Elodie; Fiene, Gabriele; Craine, Evan B.; Wellman, Gordon; Melino, Vanessa J.; Patiranage, Dilan S. R.; Johansen, Kasper; Schmöckel, Sandra M.; Bertero, Hector Daniel; Oakey, Helena; Colque Little, Carla; Afzal, Irfan; Raubach, Sebastian; Miller, Nathan; Streich, Jared; Amby, Daniel Buchvaldt; Emrani, Nazgol; Warmington, Mark; Mousa, Magdi A. A.; Wu, David; Jacobson, Daniel; Andreasen, Christian; Jung, Christian; Murphy, Kevin; Bazile, Didier; Tester, Mark
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Stanschewski, Clara S.. King Abdullah University of Science and Technology; Arabia Saudita
Fil: Rey, Elodie. King Abdullah University of Science and Technology; Arabia Saudita
Fil: Fiene, Gabriele. King Abdullah University of Science and Technology; Arabia Saudita
Fil: Craine, Evan B.. Washington State University; Estados Unidos
Fil: Wellman, Gordon. King Abdullah University of Science and Technology; Arabia Saudita
Fil: Melino, Vanessa J.. King Abdullah University of Science and Technology; Arabia Saudita
Fil: Patiranage, Dilan S. R.. King Abdullah University of Science and Technology; Arabia Saudita
Fil: Johansen, Kasper. King Abdullah University of Science and Technology; Arabia Saudita
Fil: Schmöckel, Sandra M.. King Abdullah University of Science and Technology; Arabia Saudita
Fil: Bertero, Hector Daniel. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Producción Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Oakey, Helena. University of Adelaide; Australia
Fil: Colque Little, Carla. Universidad de Copenhagen; Dinamarca
Fil: Afzal, Irfan. University of Agriculture; Pakistán
Fil: Raubach, Sebastian. The James Hutton Institute; Reino Unido
Fil: Miller, Nathan. University of Wisconsin; Estados Unidos
Fil: Streich, Jared. Oak Ridge National Laboratory; Estados Unidos
Fil: Amby, Daniel Buchvaldt. Universidad de Copenhagen; Dinamarca
Fil: Emrani, Nazgol. Christian-albrechts-universität Zu Kiel; Alemania
Fil: Warmington, Mark. Agriculture And Food; Australia
Fil: Mousa, Magdi A. A.. Assiut University; Arabia Saudita. King Abdullah University of Science and Technology; Arabia Saudita
Fil: Wu, David. Shanxi Jiaqi Agri-Tech Co.; China
Fil: Jacobson, Daniel. Oak Ridge National Laboratory; Estados Unidos
Fil: Andreasen, Christian. Universidad de Copenhagen; Dinamarca
Fil: Jung, Christian. Christian-albrechts-universität Zu Kiel; Alemania
Fil: Murphy, Kevin. Washington State University; Estados Unidos
Fil: Bazile, Didier. Savoirs, Environnement, Sociétés; Francia. Universite Paul-valery Montpellier Iii; Francia
Fil: Tester, Mark. King Abdullah University of Science and Technology; Arabia Saudita - Materia
-
ARCHITECTURE
CHENOPODIUM QUINOA
DATABASE
DESCRIPTORS
DISEASE
GENETIC DIVERSITY
HIGH THROUGHPUT SEED PHENOTYPING
PANICLE
REMOTE SENSING
SCORING CARD - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/168516
Ver los metadatos del registro completo
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Quinoa phenotyping methodologies: An international consensusStanschewski, Clara S.Rey, ElodieFiene, GabrieleCraine, Evan B.Wellman, GordonMelino, Vanessa J.Patiranage, Dilan S. R.Johansen, KasperSchmöckel, Sandra M.Bertero, Hector DanielOakey, HelenaColque Little, CarlaAfzal, IrfanRaubach, SebastianMiller, NathanStreich, JaredAmby, Daniel BuchvaldtEmrani, NazgolWarmington, MarkMousa, Magdi A. A.Wu, DavidJacobson, DanielAndreasen, ChristianJung, ChristianMurphy, KevinBazile, DidierTester, MarkARCHITECTURECHENOPODIUM QUINOADATABASEDESCRIPTORSDISEASEGENETIC DIVERSITYHIGH THROUGHPUT SEED PHENOTYPINGPANICLEREMOTE SENSINGSCORING CARDhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Quinoa 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.Fil: Stanschewski, Clara S.. King Abdullah University of Science and Technology; Arabia SauditaFil: Rey, Elodie. King Abdullah University of Science and Technology; Arabia SauditaFil: Fiene, Gabriele. King Abdullah University of Science and Technology; Arabia SauditaFil: Craine, Evan B.. Washington State University; Estados UnidosFil: Wellman, Gordon. King Abdullah University of Science and Technology; Arabia SauditaFil: Melino, Vanessa J.. King Abdullah University of Science and Technology; Arabia SauditaFil: Patiranage, Dilan S. R.. King Abdullah University of Science and Technology; Arabia SauditaFil: Johansen, Kasper. King Abdullah University of Science and Technology; Arabia SauditaFil: Schmöckel, Sandra M.. King Abdullah University of Science and Technology; Arabia SauditaFil: Bertero, Hector Daniel. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Producción Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Oakey, Helena. University of Adelaide; AustraliaFil: Colque Little, Carla. Universidad de Copenhagen; DinamarcaFil: Afzal, Irfan. University of Agriculture; PakistánFil: Raubach, Sebastian. The James Hutton Institute; Reino UnidoFil: Miller, Nathan. University of Wisconsin; Estados UnidosFil: Streich, Jared. Oak Ridge National Laboratory; Estados UnidosFil: Amby, Daniel Buchvaldt. Universidad de Copenhagen; DinamarcaFil: Emrani, Nazgol. Christian-albrechts-universität Zu Kiel; AlemaniaFil: Warmington, Mark. Agriculture And Food; AustraliaFil: Mousa, Magdi A. A.. Assiut University; Arabia Saudita. King Abdullah University of Science and Technology; Arabia SauditaFil: Wu, David. Shanxi Jiaqi Agri-Tech Co.; ChinaFil: Jacobson, Daniel. Oak Ridge National Laboratory; Estados UnidosFil: Andreasen, Christian. Universidad de Copenhagen; DinamarcaFil: Jung, Christian. Christian-albrechts-universität Zu Kiel; AlemaniaFil: Murphy, Kevin. Washington State University; Estados UnidosFil: Bazile, Didier. Savoirs, Environnement, Sociétés; Francia. Universite Paul-valery Montpellier Iii; FranciaFil: Tester, Mark. King Abdullah University of Science and Technology; Arabia SauditaMultidisciplinary Digital Publishing Institute2021-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/168516Stanschewski, Clara S.; Rey, Elodie; Fiene, Gabriele; Craine, Evan B.; Wellman, Gordon; et al.; Quinoa phenotyping methodologies: An international consensus; Multidisciplinary Digital Publishing Institute; Plants; 10; 9; 8-2021; 1-522223-7747CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/plants10091759info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2223-7747/10/9/1759info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:10:36Zoai:ri.conicet.gov.ar:11336/168516instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:10:37.098CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Quinoa phenotyping methodologies: An international consensus |
| title |
Quinoa phenotyping methodologies: An international consensus |
| spellingShingle |
Quinoa phenotyping methodologies: An international consensus Stanschewski, Clara S. ARCHITECTURE CHENOPODIUM QUINOA DATABASE DESCRIPTORS DISEASE GENETIC DIVERSITY HIGH THROUGHPUT SEED PHENOTYPING PANICLE REMOTE SENSING SCORING CARD |
| title_short |
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_sort |
Quinoa phenotyping methodologies: An international consensus |
| dc.creator.none.fl_str_mv |
Stanschewski, Clara S. Rey, Elodie Fiene, Gabriele Craine, Evan B. Wellman, Gordon Melino, Vanessa J. Patiranage, Dilan S. R. Johansen, Kasper Schmöckel, Sandra M. Bertero, Hector Daniel Oakey, Helena Colque Little, Carla Afzal, Irfan Raubach, Sebastian Miller, Nathan Streich, Jared Amby, Daniel Buchvaldt Emrani, Nazgol Warmington, Mark Mousa, Magdi A. A. Wu, David Jacobson, Daniel Andreasen, Christian Jung, Christian Murphy, Kevin Bazile, Didier Tester, Mark |
| author |
Stanschewski, Clara S. |
| 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. Bertero, Hector Daniel Oakey, Helena Colque Little, Carla Afzal, Irfan Raubach, Sebastian Miller, Nathan Streich, Jared Amby, Daniel Buchvaldt Emrani, Nazgol Warmington, Mark Mousa, Magdi A. A. Wu, David Jacobson, Daniel Andreasen, Christian Jung, Christian Murphy, Kevin Bazile, Didier Tester, Mark |
| author_role |
author |
| author2 |
Rey, Elodie Fiene, Gabriele Craine, Evan B. Wellman, Gordon Melino, Vanessa J. Patiranage, Dilan S. R. Johansen, Kasper Schmöckel, Sandra M. Bertero, Hector Daniel Oakey, Helena Colque Little, Carla Afzal, Irfan Raubach, Sebastian Miller, Nathan Streich, Jared Amby, Daniel Buchvaldt Emrani, Nazgol Warmington, Mark Mousa, Magdi A. A. Wu, David Jacobson, Daniel Andreasen, Christian Jung, Christian Murphy, Kevin Bazile, Didier Tester, Mark |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
ARCHITECTURE CHENOPODIUM QUINOA DATABASE DESCRIPTORS DISEASE GENETIC DIVERSITY HIGH THROUGHPUT SEED PHENOTYPING PANICLE REMOTE SENSING SCORING CARD |
| topic |
ARCHITECTURE CHENOPODIUM QUINOA DATABASE DESCRIPTORS DISEASE GENETIC DIVERSITY HIGH THROUGHPUT SEED PHENOTYPING PANICLE REMOTE SENSING SCORING CARD |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.1 https://purl.org/becyt/ford/4 |
| dc.description.none.fl_txt_mv |
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. Fil: Stanschewski, Clara S.. King Abdullah University of Science and Technology; Arabia Saudita Fil: Rey, Elodie. King Abdullah University of Science and Technology; Arabia Saudita Fil: Fiene, Gabriele. King Abdullah University of Science and Technology; Arabia Saudita Fil: Craine, Evan B.. Washington State University; Estados Unidos Fil: Wellman, Gordon. King Abdullah University of Science and Technology; Arabia Saudita Fil: Melino, Vanessa J.. King Abdullah University of Science and Technology; Arabia Saudita Fil: Patiranage, Dilan S. R.. King Abdullah University of Science and Technology; Arabia Saudita Fil: Johansen, Kasper. King Abdullah University of Science and Technology; Arabia Saudita Fil: Schmöckel, Sandra M.. King Abdullah University of Science and Technology; Arabia Saudita Fil: Bertero, Hector Daniel. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Producción Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina Fil: Oakey, Helena. University of Adelaide; Australia Fil: Colque Little, Carla. Universidad de Copenhagen; Dinamarca Fil: Afzal, Irfan. University of Agriculture; Pakistán Fil: Raubach, Sebastian. The James Hutton Institute; Reino Unido Fil: Miller, Nathan. University of Wisconsin; Estados Unidos Fil: Streich, Jared. Oak Ridge National Laboratory; Estados Unidos Fil: Amby, Daniel Buchvaldt. Universidad de Copenhagen; Dinamarca Fil: Emrani, Nazgol. Christian-albrechts-universität Zu Kiel; Alemania Fil: Warmington, Mark. Agriculture And Food; Australia Fil: Mousa, Magdi A. A.. Assiut University; Arabia Saudita. King Abdullah University of Science and Technology; Arabia Saudita Fil: Wu, David. Shanxi Jiaqi Agri-Tech Co.; China Fil: Jacobson, Daniel. Oak Ridge National Laboratory; Estados Unidos Fil: Andreasen, Christian. Universidad de Copenhagen; Dinamarca Fil: Jung, Christian. Christian-albrechts-universität Zu Kiel; Alemania Fil: Murphy, Kevin. Washington State University; Estados Unidos Fil: Bazile, Didier. Savoirs, Environnement, Sociétés; Francia. Universite Paul-valery Montpellier Iii; Francia Fil: Tester, Mark. King Abdullah University of Science and Technology; Arabia Saudita |
| 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. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-08 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/168516 Stanschewski, Clara S.; Rey, Elodie; Fiene, Gabriele; Craine, Evan B.; Wellman, Gordon; et al.; Quinoa phenotyping methodologies: An international consensus; Multidisciplinary Digital Publishing Institute; Plants; 10; 9; 8-2021; 1-52 2223-7747 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/168516 |
| identifier_str_mv |
Stanschewski, Clara S.; Rey, Elodie; Fiene, Gabriele; Craine, Evan B.; Wellman, Gordon; et al.; Quinoa phenotyping methodologies: An international consensus; Multidisciplinary Digital Publishing Institute; Plants; 10; 9; 8-2021; 1-52 2223-7747 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
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info:eu-repo/semantics/altIdentifier/doi/10.3390/plants10091759 info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2223-7747/10/9/1759 |
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application/pdf application/pdf |
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Multidisciplinary Digital Publishing Institute |
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Multidisciplinary Digital Publishing Institute |
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