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Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.)
BACKGROUND: The root system architecture (RSA) of alfalfa (Medicago sativa L.) affects biomass production by influencing water and nutrient uptake, including nitrogen fixation. Further, roots are important for storing carbohydrates that are needed for regrowth in spring and after each harvest. Previ...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650460/ https://www.ncbi.nlm.nih.gov/pubmed/34876178 http://dx.doi.org/10.1186/s13007-021-00825-3 |
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author | Bucciarelli, Bruna Xu, Zhanyou Ao, Samadangla Cao, Yuanyuan Monteros, Maria J. Topp, Christopher N. Samac, Deborah A. |
author_facet | Bucciarelli, Bruna Xu, Zhanyou Ao, Samadangla Cao, Yuanyuan Monteros, Maria J. Topp, Christopher N. Samac, Deborah A. |
author_sort | Bucciarelli, Bruna |
collection | PubMed |
description | BACKGROUND: The root system architecture (RSA) of alfalfa (Medicago sativa L.) affects biomass production by influencing water and nutrient uptake, including nitrogen fixation. Further, roots are important for storing carbohydrates that are needed for regrowth in spring and after each harvest. Previous selection for a greater number of branched and fibrous roots significantly increased alfalfa biomass yield. However, phenotyping root systems of mature alfalfa plant is labor-intensive, time-consuming, and subject to environmental variability and human error. High-throughput and detailed phenotyping methods are needed to accelerate the development of alfalfa germplasm with distinct RSAs adapted to specific environmental conditions and for enhancing productivity in elite germplasm. In this study methods were developed for phenotyping 14-day-old alfalfa seedlings to identify measurable root traits that are highly heritable and can differentiate plants with either a branched or a tap rooted phenotype. Plants were grown in a soil-free mixture under controlled conditions, then the root systems were imaged with a flatbed scanner and measured using WinRhizo software. RESULTS: The branched root plants had a significantly greater number of tertiary roots and significantly longer tertiary roots relative to the tap rooted plants. Additionally, the branch rooted population had significantly more secondary roots > 2.5 cm relative to the tap rooted population. These two parameters distinguishing phenotypes were confirmed using two machine learning algorithms, Random Forest and Gradient Boosting Machines. Plants selected as seedlings for the branch rooted or tap rooted phenotypes were used in crossing blocks that resulted in a genetic gain of 10%, consistent with the previous selection strategy that utilized manual root scoring to phenotype 22-week-old-plants. Heritability analysis of various root architecture parameters from selected seedlings showed tertiary root length and number are highly heritable with values of 0.74 and 0.79, respectively. CONCLUSIONS: The results show that seedling root phenotyping is a reliable tool that can be used for alfalfa germplasm selection and breeding. Phenotypic selection of RSA in seedlings reduced time for selection by 20 weeks, significantly accelerating the breeding cycle. |
format | Online Article Text |
id | pubmed-8650460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86504602021-12-07 Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.) Bucciarelli, Bruna Xu, Zhanyou Ao, Samadangla Cao, Yuanyuan Monteros, Maria J. Topp, Christopher N. Samac, Deborah A. Plant Methods Research BACKGROUND: The root system architecture (RSA) of alfalfa (Medicago sativa L.) affects biomass production by influencing water and nutrient uptake, including nitrogen fixation. Further, roots are important for storing carbohydrates that are needed for regrowth in spring and after each harvest. Previous selection for a greater number of branched and fibrous roots significantly increased alfalfa biomass yield. However, phenotyping root systems of mature alfalfa plant is labor-intensive, time-consuming, and subject to environmental variability and human error. High-throughput and detailed phenotyping methods are needed to accelerate the development of alfalfa germplasm with distinct RSAs adapted to specific environmental conditions and for enhancing productivity in elite germplasm. In this study methods were developed for phenotyping 14-day-old alfalfa seedlings to identify measurable root traits that are highly heritable and can differentiate plants with either a branched or a tap rooted phenotype. Plants were grown in a soil-free mixture under controlled conditions, then the root systems were imaged with a flatbed scanner and measured using WinRhizo software. RESULTS: The branched root plants had a significantly greater number of tertiary roots and significantly longer tertiary roots relative to the tap rooted plants. Additionally, the branch rooted population had significantly more secondary roots > 2.5 cm relative to the tap rooted population. These two parameters distinguishing phenotypes were confirmed using two machine learning algorithms, Random Forest and Gradient Boosting Machines. Plants selected as seedlings for the branch rooted or tap rooted phenotypes were used in crossing blocks that resulted in a genetic gain of 10%, consistent with the previous selection strategy that utilized manual root scoring to phenotype 22-week-old-plants. Heritability analysis of various root architecture parameters from selected seedlings showed tertiary root length and number are highly heritable with values of 0.74 and 0.79, respectively. CONCLUSIONS: The results show that seedling root phenotyping is a reliable tool that can be used for alfalfa germplasm selection and breeding. Phenotypic selection of RSA in seedlings reduced time for selection by 20 weeks, significantly accelerating the breeding cycle. BioMed Central 2021-12-07 /pmc/articles/PMC8650460/ /pubmed/34876178 http://dx.doi.org/10.1186/s13007-021-00825-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (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 Bucciarelli, Bruna Xu, Zhanyou Ao, Samadangla Cao, Yuanyuan Monteros, Maria J. Topp, Christopher N. Samac, Deborah A. Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.) |
title | Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.) |
title_full | Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.) |
title_fullStr | Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.) |
title_full_unstemmed | Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.) |
title_short | Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.) |
title_sort | phenotyping seedlings for selection of root system architecture in alfalfa (medicago sativa l.) |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650460/ https://www.ncbi.nlm.nih.gov/pubmed/34876178 http://dx.doi.org/10.1186/s13007-021-00825-3 |
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