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Phenotyping field-state wheat root system architecture for root foraging traits in response to environment×management interactions
An important aspect of below-ground crop physiology is its root foraging performance, which is inherently related to root system architecture (RSA). A 2-yr field experiment was conducted and the field-state wheat RSA was phenotyped for root foraging trait (RFT). Four RSA-derived traits, i.e. Root ho...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805786/ https://www.ncbi.nlm.nih.gov/pubmed/29422488 http://dx.doi.org/10.1038/s41598-018-20361-w |
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author | Chen, Xinxin Li, Yinian He, Ruiyin Ding, Qishuo |
author_facet | Chen, Xinxin Li, Yinian He, Ruiyin Ding, Qishuo |
author_sort | Chen, Xinxin |
collection | PubMed |
description | An important aspect of below-ground crop physiology is its root foraging performance, which is inherently related to root system architecture (RSA). A 2-yr field experiment was conducted and the field-state wheat RSA was phenotyped for root foraging trait (RFT). Four RSA-derived traits, i.e. Root horizontal angle (RHA), axial root expansion volume (AREV), RSA convex hull volume (CHV) and effective volume per unit root length (EVURL), were analyzed for RFTs in response to environment × management interactions. Results showed a dynamical RHA process but without statistical difference both within crop seasons and tillage treatments. AREV increased with root developmental stages, revealing an overall better root performance in the first year. However, tillage treatments did not induce observed difference within both crop seasons. CHV varied drastically from year to year and between tillage treatments, correlating well to the root length, but not with RHA. EVURL was both sensitive to tillage treatments and crop seasons, being a potential indicator for RFT. Above all, tillage effect on RFT was statistically far less than that induced by crop seasons. Pro/E assisted modeling can be used as an effective means for phenotyping integrated, RSA-derived, RFTs for root foraging response to induced environment × management interactions. |
format | Online Article Text |
id | pubmed-5805786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58057862018-02-16 Phenotyping field-state wheat root system architecture for root foraging traits in response to environment×management interactions Chen, Xinxin Li, Yinian He, Ruiyin Ding, Qishuo Sci Rep Article An important aspect of below-ground crop physiology is its root foraging performance, which is inherently related to root system architecture (RSA). A 2-yr field experiment was conducted and the field-state wheat RSA was phenotyped for root foraging trait (RFT). Four RSA-derived traits, i.e. Root horizontal angle (RHA), axial root expansion volume (AREV), RSA convex hull volume (CHV) and effective volume per unit root length (EVURL), were analyzed for RFTs in response to environment × management interactions. Results showed a dynamical RHA process but without statistical difference both within crop seasons and tillage treatments. AREV increased with root developmental stages, revealing an overall better root performance in the first year. However, tillage treatments did not induce observed difference within both crop seasons. CHV varied drastically from year to year and between tillage treatments, correlating well to the root length, but not with RHA. EVURL was both sensitive to tillage treatments and crop seasons, being a potential indicator for RFT. Above all, tillage effect on RFT was statistically far less than that induced by crop seasons. Pro/E assisted modeling can be used as an effective means for phenotyping integrated, RSA-derived, RFTs for root foraging response to induced environment × management interactions. Nature Publishing Group UK 2018-02-08 /pmc/articles/PMC5805786/ /pubmed/29422488 http://dx.doi.org/10.1038/s41598-018-20361-w Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chen, Xinxin Li, Yinian He, Ruiyin Ding, Qishuo Phenotyping field-state wheat root system architecture for root foraging traits in response to environment×management interactions |
title | Phenotyping field-state wheat root system architecture for root foraging traits in response to environment×management interactions |
title_full | Phenotyping field-state wheat root system architecture for root foraging traits in response to environment×management interactions |
title_fullStr | Phenotyping field-state wheat root system architecture for root foraging traits in response to environment×management interactions |
title_full_unstemmed | Phenotyping field-state wheat root system architecture for root foraging traits in response to environment×management interactions |
title_short | Phenotyping field-state wheat root system architecture for root foraging traits in response to environment×management interactions |
title_sort | phenotyping field-state wheat root system architecture for root foraging traits in response to environment×management interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805786/ https://www.ncbi.nlm.nih.gov/pubmed/29422488 http://dx.doi.org/10.1038/s41598-018-20361-w |
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