Are high-throughput root phenotyping platforms suitable for informing root system architecture models with genotype-specific parameters? An evaluation based on the root model ArchiSimple and a small panel of wheat cultivars

Bibliographische Detailangaben
Veröffentlicht in:	Journal of experimental botany. - 1985. - 75(2024), 8 vom: 15. Apr., Seite 2510-2526
1. Verfasser:	Nguyen, Hong Anh (VerfasserIn)
Weitere Verfasser:	Martre, Pierre, Collet, Clothilde, Draye, Xavier, Salon, Christophe, Jeudy, Christian, Rincent, Renaud, Muller, Bertrand
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	Journal of experimental botany
Schlagworte:	Journal Article ArchiSimple genetic variability high-throughput phenotyping modelling phenomics root system architecture wheat

Beschreibung
Zusammenfassung:	© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissionsoup.com. Given the difficulties in accessing plant roots in situ, high-throughput root phenotyping (HTRP) platforms under controlled conditions have been developed to meet the growing demand for characterizing root system architecture (RSA) for genetic analyses. However, a proper evaluation of their capacity to provide the same estimates for strictly identical root traits across platforms has never been achieved. In this study, we performed such an evaluation based on six major parameters of the RSA model ArchiSimple, using a diversity panel of 14 bread wheat cultivars in two HTRP platforms that had different growth media and non-destructive imaging systems together with a conventional set-up that had a solid growth medium and destructive sampling. Significant effects of the experimental set-up were found for all the parameters and no significant correlations across the diversity panel among the three set-ups could be detected. Differences in temperature, irradiance, and/or the medium in which the plants were growing might partly explain both the differences in the parameter values across the experiments as well as the genotype × set-up interactions. Furthermore, the values and the rankings across genotypes of only a subset of parameters were conserved between contrasting growth stages. As the parameters chosen for our analysis are root traits that have strong impacts on RSA and are close to parameters used in a majority of RSA models, our results highlight the need to carefully consider both developmental and environmental drivers in root phenomics studies
Beschreibung:	Date Completed 16.04.2024 Date Revised 16.04.2024 published: Print Citation Status MEDLINE
ISSN:	1460-2431
DOI:	10.1093/jxb/erae009