Quinoa Phenotyping Methodologies: An International Consensus


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Output type: Journal article review

UM6P affiliated Publication?: Yes

Author list: Clara S. Stanschewski 1OrcID,Elodie Rey 1,Gabriele Fiene 1,Evan B. Craine 2,Gordon Wellman 1OrcID,Vanessa J. Melino 1OrcID,Dilan S. R. Patiranage 1,3OrcID,Kasper Johansen 4OrcID,Sandra M. Schmöckel 5OrcID,Daniel Bertero 6OrcID,Helena Oakey 7OrcID,Carla Colque-Little 8,Irfan Afzal 9OrcID,Sebastian Raubach 10OrcID,Nathan Miller 11,Jared Streich 12,Daniel Buchvaldt Amby 8OrcID,Nazgol Emrani 3,Mark Warmington 13,Magdi A. A. Mousa 14,15OrcID,David Wu 16,Daniel Jacobson 12OrcID,Christian Andreasen 8OrcID,Christian Jung 3OrcID,Kevin Murphy 2OrcID,Didier Bazile 17,18OrcID,Mark Tester 1,*OrcID andon behalf of the Quinoa Phenotyping Consortium †
Hirich Abdelaziz

Publisher: MDPI

Publication year: 2021

Journal: Plants (2223-7747)

Volume number: 11

Issue number: 9

ISSN: 2223-7747

eISSN: 2223-7747

URL: https://www.mdpi.com/2223-7747/10/9/1759

Languages: English (EN-GB)


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Abstract

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.


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Last updated on 2021-19-11 at 23:18