Functional phenomics and genetics of the root economics space in winter wheat using high-throughput phenotyping of respiration and architecture

Functional phenomics and genetics of the root economics space in winter wheat using high-throughput phenotyping of respiration and architecture

© 2021 The Authors. New Phytologist © 2021 New Phytologist Foundation.

Bibliographische Detailangaben
Veröffentlicht in:The New phytologist. - 1979. - 232(2021), 1 vom: 01. Okt., Seite 98-112
1. Verfasser: Guo, Haichao (VerfasserIn)
Weitere Verfasser: Ayalew, Habtamu, Seethepalli, Anand, Dhakal, Kundan, Griffiths, Marcus, Ma, Xue-Feng, York, Larry M
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:The New phytologist
Schlagworte:Journal Article Research Support, Non-U.S. Gov't genome-wide association studies (GWAS) multi-trait root architecture root respiration winter wheat
Beschreibung
Zusammenfassung:© 2021 The Authors. New Phytologist © 2021 New Phytologist Foundation.
The root economics space is a useful framework for plant ecology but is rarely considered for crop ecophysiology. In order to understand root trait integration in winter wheat, we combined functional phenomics with trait economic theory, utilizing genetic variation, high-throughput phenotyping, and multivariate analyses. We phenotyped a diversity panel of 276 genotypes for root respiration and architectural traits using a novel high-throughput method for CO2 flux and the open-source software RhizoVision Explorer to analyze scanned images. We uncovered substantial variation in specific root respiration (SRR) and specific root length (SRL), which were primary indicators of root metabolic and structural costs. Multiple linear regression analysis indicated that lateral root tips had the greatest SRR, and the residuals from this model were used as a new trait. Specific root respiration was negatively correlated with plant mass. Network analysis, using a Gaussian graphical model, identified root weight, SRL, diameter, and SRR as hub traits. Univariate and multivariate genetic analyses identified genetic regions associated with SRR, SRL, and root branching frequency, and proposed gene candidates. Combining functional phenomics and root economics is a promising approach to improving our understanding of crop ecophysiology. We identified root traits and genomic regions that could be harnessed to breed more efficient crops for sustainable agroecosystems
Beschreibung:Date Completed 09.09.2021
Date Revised 03.04.2024
published: Print-Electronic
CommentIn: New Phytol. 2021 Oct;232(1):5-7. doi: 10.1111/nph.17520. - PMID 34216155
Citation Status MEDLINE
ISSN:1469-8137
DOI:10.1111/nph.17329