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Root System Architecture and Abiotic Stress Tolerance: Current Knowledge in Root and Tuber Crops
The challenge to produce more food for a rising global population on diminishing agricultural land is complicated by the effects of climate change on agricultural productivity. Although great progress has been made in crop improvement, so far most efforts have targeted above-ground traits. Roots are...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5088196/ https://www.ncbi.nlm.nih.gov/pubmed/27847508 http://dx.doi.org/10.3389/fpls.2016.01584 |
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author | Khan, M. A. Gemenet, Dorcus C. Villordon, Arthur |
author_facet | Khan, M. A. Gemenet, Dorcus C. Villordon, Arthur |
author_sort | Khan, M. A. |
collection | PubMed |
description | The challenge to produce more food for a rising global population on diminishing agricultural land is complicated by the effects of climate change on agricultural productivity. Although great progress has been made in crop improvement, so far most efforts have targeted above-ground traits. Roots are essential for plant adaptation and productivity, but are less studied due to the difficulty of observing them during the plant life cycle. Root system architecture (RSA), made up of structural features like root length, spread, number, and length of lateral roots, among others, exhibits great plasticity in response to environmental changes, and could be critical to developing crops with more efficient roots. Much of the research on root traits has thus far focused on the most common cereal crops and model plants. As cereal yields have reached their yield potential in some regions, understanding their root system may help overcome these plateaus. However, root and tuber crops (RTCs) such as potato, sweetpotato, cassava, and yam may hold more potential for providing food security in the future, and knowledge of their root system additionally focuses directly on the edible portion. Root-trait modeling for multiple stress scenarios, together with high-throughput phenotyping and genotyping techniques, robust databases, and data analytical pipelines, may provide a valuable base for a truly inclusive ‘green revolution.’ In the current review, we discuss RSA with special reference to RTCs, and how knowledge on genetics of RSA can be manipulated to improve their tolerance to abiotic stresses. |
format | Online Article Text |
id | pubmed-5088196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50881962016-11-15 Root System Architecture and Abiotic Stress Tolerance: Current Knowledge in Root and Tuber Crops Khan, M. A. Gemenet, Dorcus C. Villordon, Arthur Front Plant Sci Plant Science The challenge to produce more food for a rising global population on diminishing agricultural land is complicated by the effects of climate change on agricultural productivity. Although great progress has been made in crop improvement, so far most efforts have targeted above-ground traits. Roots are essential for plant adaptation and productivity, but are less studied due to the difficulty of observing them during the plant life cycle. Root system architecture (RSA), made up of structural features like root length, spread, number, and length of lateral roots, among others, exhibits great plasticity in response to environmental changes, and could be critical to developing crops with more efficient roots. Much of the research on root traits has thus far focused on the most common cereal crops and model plants. As cereal yields have reached their yield potential in some regions, understanding their root system may help overcome these plateaus. However, root and tuber crops (RTCs) such as potato, sweetpotato, cassava, and yam may hold more potential for providing food security in the future, and knowledge of their root system additionally focuses directly on the edible portion. Root-trait modeling for multiple stress scenarios, together with high-throughput phenotyping and genotyping techniques, robust databases, and data analytical pipelines, may provide a valuable base for a truly inclusive ‘green revolution.’ In the current review, we discuss RSA with special reference to RTCs, and how knowledge on genetics of RSA can be manipulated to improve their tolerance to abiotic stresses. Frontiers Media S.A. 2016-11-01 /pmc/articles/PMC5088196/ /pubmed/27847508 http://dx.doi.org/10.3389/fpls.2016.01584 Text en Copyright © 2016 Khan, Gemenet and Villordon. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Khan, M. A. Gemenet, Dorcus C. Villordon, Arthur Root System Architecture and Abiotic Stress Tolerance: Current Knowledge in Root and Tuber Crops |
title | Root System Architecture and Abiotic Stress Tolerance: Current Knowledge in Root and Tuber Crops |
title_full | Root System Architecture and Abiotic Stress Tolerance: Current Knowledge in Root and Tuber Crops |
title_fullStr | Root System Architecture and Abiotic Stress Tolerance: Current Knowledge in Root and Tuber Crops |
title_full_unstemmed | Root System Architecture and Abiotic Stress Tolerance: Current Knowledge in Root and Tuber Crops |
title_short | Root System Architecture and Abiotic Stress Tolerance: Current Knowledge in Root and Tuber Crops |
title_sort | root system architecture and abiotic stress tolerance: current knowledge in root and tuber crops |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5088196/ https://www.ncbi.nlm.nih.gov/pubmed/27847508 http://dx.doi.org/10.3389/fpls.2016.01584 |
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