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Phenotypic variability in bread wheat root systems at the early vegetative stage

BACKGROUND: Understanding root system morphology in bread wheat is critical for identifying root traits to breed cultivars with improved resource uptake and better adaptation to adverse environments. Variability in root morphological traits at early vegetative stages was examined among 184 bread whe...

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Autores principales: Chen, Yinglong, Palta, Jairo, Prasad, P. V. Vara, Siddique, Kadambot H. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189723/
https://www.ncbi.nlm.nih.gov/pubmed/32345227
http://dx.doi.org/10.1186/s12870-020-02390-8
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author Chen, Yinglong
Palta, Jairo
Prasad, P. V. Vara
Siddique, Kadambot H. M.
author_facet Chen, Yinglong
Palta, Jairo
Prasad, P. V. Vara
Siddique, Kadambot H. M.
author_sort Chen, Yinglong
collection PubMed
description BACKGROUND: Understanding root system morphology in bread wheat is critical for identifying root traits to breed cultivars with improved resource uptake and better adaptation to adverse environments. Variability in root morphological traits at early vegetative stages was examined among 184 bread wheat genotypes originating from 37 countries grown in a semi-hydroponic phenotyping system. RESULTS: At the onset of tillering (Z2.1, 35 days after transplanting), plants had up to 42 cm in shoot height and 158 cm long in root depth. Phenotypic variation existed for both shoot and root traits, with a maximal 4.3-fold difference in total root length and 5-fold difference in root dry mass among the 184 genotypes. Of the 41 measured traits, 24 root traits and four shoot traits had larger coefficients of variation (CV ≥ 0.25). Strong positive correlations were identified for some key root traits (i.e., root mass, root length, and these parameters at different depths) and shoot traits (i.e., shoot mass and tiller number) (P ≤ 0.05). The selected 25 global traits (at whole-plant level) contributed to one of the five principal components (eigenvalues> 1) capturing 83.0% of the total variability across genotypes. Agglomerative hierarchical clustering analysis separated the 184 genotypes into four (at a rescaled distance of 15) or seven (at a rescaled distance of 10) major groups based on the same set of root traits. Strong relationships between performance traits (dry mass) with several functional traits such as specific root length, root length intensity and root tissue density suggest their linkage to plant growth and fitness strategies. CONCLUSIONS: Large phenotypic variability in root system morphology in wheat genotypes was observed at the tillering stage using established semi-hydroponic phenotyping techniques. Phenotypic differences in and trait correlations among some interesting root traits may be considered for breeding wheat cultivars with efficient water acquisition and better adaptation to abiotic stress.
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spelling pubmed-71897232020-05-04 Phenotypic variability in bread wheat root systems at the early vegetative stage Chen, Yinglong Palta, Jairo Prasad, P. V. Vara Siddique, Kadambot H. M. BMC Plant Biol Research Article BACKGROUND: Understanding root system morphology in bread wheat is critical for identifying root traits to breed cultivars with improved resource uptake and better adaptation to adverse environments. Variability in root morphological traits at early vegetative stages was examined among 184 bread wheat genotypes originating from 37 countries grown in a semi-hydroponic phenotyping system. RESULTS: At the onset of tillering (Z2.1, 35 days after transplanting), plants had up to 42 cm in shoot height and 158 cm long in root depth. Phenotypic variation existed for both shoot and root traits, with a maximal 4.3-fold difference in total root length and 5-fold difference in root dry mass among the 184 genotypes. Of the 41 measured traits, 24 root traits and four shoot traits had larger coefficients of variation (CV ≥ 0.25). Strong positive correlations were identified for some key root traits (i.e., root mass, root length, and these parameters at different depths) and shoot traits (i.e., shoot mass and tiller number) (P ≤ 0.05). The selected 25 global traits (at whole-plant level) contributed to one of the five principal components (eigenvalues> 1) capturing 83.0% of the total variability across genotypes. Agglomerative hierarchical clustering analysis separated the 184 genotypes into four (at a rescaled distance of 15) or seven (at a rescaled distance of 10) major groups based on the same set of root traits. Strong relationships between performance traits (dry mass) with several functional traits such as specific root length, root length intensity and root tissue density suggest their linkage to plant growth and fitness strategies. CONCLUSIONS: Large phenotypic variability in root system morphology in wheat genotypes was observed at the tillering stage using established semi-hydroponic phenotyping techniques. Phenotypic differences in and trait correlations among some interesting root traits may be considered for breeding wheat cultivars with efficient water acquisition and better adaptation to abiotic stress. BioMed Central 2020-04-28 /pmc/articles/PMC7189723/ /pubmed/32345227 http://dx.doi.org/10.1186/s12870-020-02390-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chen, Yinglong
Palta, Jairo
Prasad, P. V. Vara
Siddique, Kadambot H. M.
Phenotypic variability in bread wheat root systems at the early vegetative stage
title Phenotypic variability in bread wheat root systems at the early vegetative stage
title_full Phenotypic variability in bread wheat root systems at the early vegetative stage
title_fullStr Phenotypic variability in bread wheat root systems at the early vegetative stage
title_full_unstemmed Phenotypic variability in bread wheat root systems at the early vegetative stage
title_short Phenotypic variability in bread wheat root systems at the early vegetative stage
title_sort phenotypic variability in bread wheat root systems at the early vegetative stage
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189723/
https://www.ncbi.nlm.nih.gov/pubmed/32345227
http://dx.doi.org/10.1186/s12870-020-02390-8
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