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Characterising root trait variability in chickpea (Cicer arietinum L.) germplasm

Chickpea (Cicer arietinum L.) is an important grain legume crop but its sustainable production is challenged by predicted climate changes, which are likely to increase production limitations and uncertainty in yields. Characterising the variability in root architectural traits in a core collection o...

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Autores principales: Chen, Yinglong, Ghanem, Michel Edmond, Siddique, Kadambot HM
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429021/
https://www.ncbi.nlm.nih.gov/pubmed/28338728
http://dx.doi.org/10.1093/jxb/erw368
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author Chen, Yinglong
Ghanem, Michel Edmond
Siddique, Kadambot HM
author_facet Chen, Yinglong
Ghanem, Michel Edmond
Siddique, Kadambot HM
author_sort Chen, Yinglong
collection PubMed
description Chickpea (Cicer arietinum L.) is an important grain legume crop but its sustainable production is challenged by predicted climate changes, which are likely to increase production limitations and uncertainty in yields. Characterising the variability in root architectural traits in a core collection of chickpea germplasm will provide the basis for breeding new germplasm with suitable root traits for the efficient acquisition of soil resources and adaptation to drought and other abiotic stresses. This study used a semi-hydroponic phenotyping system for assessing root trait variability across 270 chickpea genotypes. The genotypes exhibited large variation in rooting patterns and branching manner. Thirty root-related traits were characterised, 17 of which had coefficients of variation ≥0.3 among genotypes and were selected for further examination. The Pearson correlation matrix showed a strong correlation among most of the selected traits (P≤0.05). Principal component analysis revealed three principal components with eigenvalues >1 capturing 81.5% of the total variation. An agglomerative hierarchical clustering analysis, based on root trait variation, identified three genotype homogeneous groups (rescaled distance of 15) and 16 sub-groups (rescaled distance of 5). The chickpea genotypes characterised in this study with vastly different root properties could be used for further studies in glasshouses and field trials, and for molecular marker studies, gene mapping, and modelling simulations, ultimately aimed at breeding germplasm with root traits for improved adaptation to drought and other specific environments.
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spelling pubmed-54290212017-05-17 Characterising root trait variability in chickpea (Cicer arietinum L.) germplasm Chen, Yinglong Ghanem, Michel Edmond Siddique, Kadambot HM J Exp Bot Research Paper Chickpea (Cicer arietinum L.) is an important grain legume crop but its sustainable production is challenged by predicted climate changes, which are likely to increase production limitations and uncertainty in yields. Characterising the variability in root architectural traits in a core collection of chickpea germplasm will provide the basis for breeding new germplasm with suitable root traits for the efficient acquisition of soil resources and adaptation to drought and other abiotic stresses. This study used a semi-hydroponic phenotyping system for assessing root trait variability across 270 chickpea genotypes. The genotypes exhibited large variation in rooting patterns and branching manner. Thirty root-related traits were characterised, 17 of which had coefficients of variation ≥0.3 among genotypes and were selected for further examination. The Pearson correlation matrix showed a strong correlation among most of the selected traits (P≤0.05). Principal component analysis revealed three principal components with eigenvalues >1 capturing 81.5% of the total variation. An agglomerative hierarchical clustering analysis, based on root trait variation, identified three genotype homogeneous groups (rescaled distance of 15) and 16 sub-groups (rescaled distance of 5). The chickpea genotypes characterised in this study with vastly different root properties could be used for further studies in glasshouses and field trials, and for molecular marker studies, gene mapping, and modelling simulations, ultimately aimed at breeding germplasm with root traits for improved adaptation to drought and other specific environments. Oxford University Press 2017-04-01 2016-10-06 /pmc/articles/PMC5429021/ /pubmed/28338728 http://dx.doi.org/10.1093/jxb/erw368 Text en © The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Chen, Yinglong
Ghanem, Michel Edmond
Siddique, Kadambot HM
Characterising root trait variability in chickpea (Cicer arietinum L.) germplasm
title Characterising root trait variability in chickpea (Cicer arietinum L.) germplasm
title_full Characterising root trait variability in chickpea (Cicer arietinum L.) germplasm
title_fullStr Characterising root trait variability in chickpea (Cicer arietinum L.) germplasm
title_full_unstemmed Characterising root trait variability in chickpea (Cicer arietinum L.) germplasm
title_short Characterising root trait variability in chickpea (Cicer arietinum L.) germplasm
title_sort characterising root trait variability in chickpea (cicer arietinum l.) germplasm
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429021/
https://www.ncbi.nlm.nih.gov/pubmed/28338728
http://dx.doi.org/10.1093/jxb/erw368
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