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.; Erazzu, Luis Ernesto; Tester, Mark
• Año de publicación: 2021
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: Plants 10 (9) : 1759 (August 2021)
• Materia: Quinoa; Chenopodium quinoa; Genética; Fenotipos; Diversidad Genética (como recurso); Teledetección; Genetics; Phenotypes; Genetic Diversity (as resource); Remote Sensing; Quinua
• Institución: Instituto Nacional de Tecnología Agropecuaria

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