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Exploring root system architecture and anatomical variability in alfalfa (Medicago sativa L.) seedlings

BACKGROUND: The growth of alfalfa (Medicago sativa L.) is significantly hampered by drought and nutrient deficiencies. The identification of root architectural and anatomical characteristics holds paramount importance for the development of alfalfa genotypes with enhanced adaptation to adverse envir...

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Autores principales: Pan, Xinya, Wang, Pengfei, Wei, Xianwei, Zhang, Jinxin, Xu, Bingcheng, Chen, Yinglong, Wei, Gehong, Wang, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519072/
https://www.ncbi.nlm.nih.gov/pubmed/37743492
http://dx.doi.org/10.1186/s12870-023-04469-4
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author Pan, Xinya
Wang, Pengfei
Wei, Xianwei
Zhang, Jinxin
Xu, Bingcheng
Chen, Yinglong
Wei, Gehong
Wang, Zhi
author_facet Pan, Xinya
Wang, Pengfei
Wei, Xianwei
Zhang, Jinxin
Xu, Bingcheng
Chen, Yinglong
Wei, Gehong
Wang, Zhi
author_sort Pan, Xinya
collection PubMed
description BACKGROUND: The growth of alfalfa (Medicago sativa L.) is significantly hampered by drought and nutrient deficiencies. The identification of root architectural and anatomical characteristics holds paramount importance for the development of alfalfa genotypes with enhanced adaptation to adverse environmental conditions. In this study, we employed a visual rhizobox system to investigate the variability in root system architecture (including root depth, root length, root tips number, etc.), anatomical features (such as cortical traits, total stele area, number and area of vessel, etc.), as well as nitrogen and phosphorus uptake across 53 alfalfa genotypes during the seedling stage. RESULTS: Out of the 42 traits measured, 21 root traits, along with nitrogen (N) and phosphorus (P) uptake, displayed higher coefficients of variation (CVs ≥ 0.25) among the tested genotypes. Local root morphological and anatomical traits exhibited more significant variation than global root traits. Twenty-three traits with CVs ≥ 0.25 constituted to six principal components (eigenvalues > 1), collectively accounting for 88.0% of the overall genotypic variation. Traits such as total root length, number of root tips, maximal root depth, and others exhibited positive correlations with shoot dry mass and root dry mass. Additionally, total stele area and xylem vessel area showed positive correlations with N and P uptake. CONCLUSIONS: These root traits, which have demonstrated associations with biomass and nutrient uptake, may be considered for the breeding of alfalfa genotypes that possess efficient resource absorption and increased adaptability to abiotic stress, following validation during the entire growth period in the field. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04469-4.
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spelling pubmed-105190722023-09-26 Exploring root system architecture and anatomical variability in alfalfa (Medicago sativa L.) seedlings Pan, Xinya Wang, Pengfei Wei, Xianwei Zhang, Jinxin Xu, Bingcheng Chen, Yinglong Wei, Gehong Wang, Zhi BMC Plant Biol Research BACKGROUND: The growth of alfalfa (Medicago sativa L.) is significantly hampered by drought and nutrient deficiencies. The identification of root architectural and anatomical characteristics holds paramount importance for the development of alfalfa genotypes with enhanced adaptation to adverse environmental conditions. In this study, we employed a visual rhizobox system to investigate the variability in root system architecture (including root depth, root length, root tips number, etc.), anatomical features (such as cortical traits, total stele area, number and area of vessel, etc.), as well as nitrogen and phosphorus uptake across 53 alfalfa genotypes during the seedling stage. RESULTS: Out of the 42 traits measured, 21 root traits, along with nitrogen (N) and phosphorus (P) uptake, displayed higher coefficients of variation (CVs ≥ 0.25) among the tested genotypes. Local root morphological and anatomical traits exhibited more significant variation than global root traits. Twenty-three traits with CVs ≥ 0.25 constituted to six principal components (eigenvalues > 1), collectively accounting for 88.0% of the overall genotypic variation. Traits such as total root length, number of root tips, maximal root depth, and others exhibited positive correlations with shoot dry mass and root dry mass. Additionally, total stele area and xylem vessel area showed positive correlations with N and P uptake. CONCLUSIONS: These root traits, which have demonstrated associations with biomass and nutrient uptake, may be considered for the breeding of alfalfa genotypes that possess efficient resource absorption and increased adaptability to abiotic stress, following validation during the entire growth period in the field. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04469-4. BioMed Central 2023-09-25 /pmc/articles/PMC10519072/ /pubmed/37743492 http://dx.doi.org/10.1186/s12870-023-04469-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Pan, Xinya
Wang, Pengfei
Wei, Xianwei
Zhang, Jinxin
Xu, Bingcheng
Chen, Yinglong
Wei, Gehong
Wang, Zhi
Exploring root system architecture and anatomical variability in alfalfa (Medicago sativa L.) seedlings
title Exploring root system architecture and anatomical variability in alfalfa (Medicago sativa L.) seedlings
title_full Exploring root system architecture and anatomical variability in alfalfa (Medicago sativa L.) seedlings
title_fullStr Exploring root system architecture and anatomical variability in alfalfa (Medicago sativa L.) seedlings
title_full_unstemmed Exploring root system architecture and anatomical variability in alfalfa (Medicago sativa L.) seedlings
title_short Exploring root system architecture and anatomical variability in alfalfa (Medicago sativa L.) seedlings
title_sort exploring root system architecture and anatomical variability in alfalfa (medicago sativa l.) seedlings
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519072/
https://www.ncbi.nlm.nih.gov/pubmed/37743492
http://dx.doi.org/10.1186/s12870-023-04469-4
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