TY - JOUR
T1 - Quinoa Phenotyping Methodologies: An International Consensus
AU - Stanschewski, Clara
AU - Rey, Elodie
AU - Fiene, Gabriele
AU - Craine, Evan
AU - Wellman, Gordon
AU - Melino, Vanessa J.
AU - Patiranage, Dilan
AU - Johansen, Kasper
AU - Schmöckel, Sandra
AU - Bertero, Daniel
AU - Oakey, Helena
AU - Colque-Little, Carla
AU - Afzal, Irfan
AU - Raubach, Sebastian
AU - Miller, Nathan
AU - Streich, Jared
AU - Amby, Daniel
AU - Emrani, Nazgol
AU - Warmington, Mark
AU - Mousa, Magdi
AU - Wu, David
AU - Jacobson, Daniel
AU - Andreasen, Christian
AU - Jung, Christian
AU - Murphy, Kevin
AU - Bazile, Didier
AU - Tester, Mark A.
AU - Consortium, on behalf of the Quinoa Phenotyping
N1 - 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).
PY - 2021/8/24
Y1 - 2021/8/24
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/670849
UR - https://www.mdpi.com/2223-7747/10/9/1759
U2 - 10.3390/plants10091759
DO - 10.3390/plants10091759
M3 - Article
C2 - 34579292
SN - 2223-7747
VL - 10
SP - 1759
JO - Plants
JF - Plants
IS - 9
ER -