Quinoa Phenotyping Methodologies: An International Consensus

Clara Stanschewski, Elodie Rey, Gabriele Fiene, Evan Craine, Gordon Wellman, Vanessa J. Melino, Dilan Patiranage, Kasper Johansen, Sandra Schmöckel, Daniel Bertero, Helena Oakey, Carla Colque-Little, Irfan Afzal, Sebastian Raubach, Nathan Miller, Jared Streich, Daniel Amby, Nazgol Emrani, Mark Warmington, Magdi MousaDavid Wu, Daniel Jacobson, Christian Andreasen, Christian Jung, Kevin Murphy, Didier Bazile, Mark A. Tester, on behalf of the Quinoa Phenotyping Consortium

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)1759
Issue number9
StatePublished - Aug 24 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-08-31
Acknowledged KAUST grant number(s): CRG5-2966
Acknowledgements: We thank Briony Hughes for the illustrations for plot population homogeneity, growth habit, stem angle, panicle axis angle, and panicle shape (Supplementary File S1: Phenotyping cards).


Dive into the research topics of 'Quinoa Phenotyping Methodologies: An International Consensus'. Together they form a unique fingerprint.

Cite this