Quinoa phenotyping methodologies: An international consensus

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, Buchvaldt Amby Daniel, Emrani Nazgol, Warmington Mark, Moussa Magdi A.A., Wu David, Jacobson Daniel, Andreasen Christian, Jung Christian, Murphy Kevin, Bazile Didier, Tester Mark. 2021. Quinoa phenotyping methodologies: An international consensus. Plants, 10 (9):1759, 54 p.

Quartile : Q1, Sujet : PLANT SCIENCES

Résumé : 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.

Mots-clés Agrovoc : phénotype, Chenopodium quinoa, variation génétique, plasticité phénotypique, amélioration des cultures

Mots-clés libres : Chenopodium quinoa Willd., Descriptors, Genetic diversity, Scoring card

Classification Agris : F30 - Génétique et amélioration des plantes

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Auteurs et affiliations

• Stanschewski Clara S., King Abdullah University of Science and Technology (SAU)
• Rey Elodie, King Abdullah University of Science and Technology (SAU)
• Fiene Gabriele, King Abdullah University of Science and Technology (SAU)
• Craine Evan B., Washington State University (USA)
• Wellman Gordon, King Abdullah University of Science and Technology (SAU)
• Melino Vanessa J., King Abdullah University of Science and Technology (SAU)
• Patiranage Dilan S.R., King Abdullah University of Science and Technology (SAU)
• Johansen Kasper, King Abdullah University of Science and Technology (SAU)
• Schmöckel Sandra M., Universität Hohenheim (DEU)
• Bertero Hector Daniel, UBA (ARG)
• Oakey Helena, University of Adelaide (AUS)
• Colque‐Little Carla, UCPH (DNK)
• Afzal Irfan, UAF (PAK)
• Raubach Sebastian, The James Hutton Institute (GBR)
• Miller Nathan, University of Wisconsin (USA)
• Streich Jared, Oak Ridge National Laboratory (USA)
• Buchvaldt Amby Daniel, UCPH (DNK)
• Emrani Nazgol, CAU (DEU)
• Warmington Mark, Department of Primary Industries and Regional Development (AUS)
• Moussa Magdi A.A., King Abdulaziz University (SAU)
• Wu David, Shanxi Jiaqi Agri-Tech Co (CHN)
• Jacobson Daniel, Oak Ridge National Laboratory (USA)
• Andreasen Christian, UCPH (DNK)
• Jung Christian, CAU (DEU)
• Murphy Kevin, Washington State University (USA)
• Bazile Didier, CIRAD-ES-UMR SENS (FRA) ORCID: 0000-0001-5617-9319
• Tester Mark, King Abdullah University of Science and Technology (SAU) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/598979/)

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