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An improved centrifuge method for determining water extraction curves and vulnerability curves in the long-vessel species Robinia pseudoacacia
Significant improvements to the centrifuge water-extraction method of measuring the percentage loss volume of water (PLV) and corresponding vulnerability curves (VCs) are reported. Cochard and Sperry rotors are both incapable of measuring the VCs of species with long vessels because of premature emb...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760279/ https://www.ncbi.nlm.nih.gov/pubmed/31056686 http://dx.doi.org/10.1093/jxb/erz206 |
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author | Peng, Guoquan Yang, Dongmei Liang, Zhao Li, Junhui Tyree, Melvin T |
author_facet | Peng, Guoquan Yang, Dongmei Liang, Zhao Li, Junhui Tyree, Melvin T |
author_sort | Peng, Guoquan |
collection | PubMed |
description | Significant improvements to the centrifuge water-extraction method of measuring the percentage loss volume of water (PLV) and corresponding vulnerability curves (VCs) are reported. Cochard and Sperry rotors are both incapable of measuring the VCs of species with long vessels because of premature embolism induced by hypothetical nanoparticles that can be drawn into segments during flow measurement. In contrast, water extraction pushes nanoparticles out of the sample. This study focuses on a long-vessel species, Robinia pseudoacacia, for which many VCs have been constructed by different methods, and the daily water relations have been quantified. PLV extraction curves have dual Weibull curves, and this paper focuses on the second Weibull curve because it involves the extraction of water from vessels, as proven by staining methods. We demonstrate an improved water extraction method after evaporation correction that has accuracy to within 0.5%, shows good agreement with two traditional methods that are slower and less accurate, and is immune to nanoparticle artefacts. Using Poiseuille’s Law and the geometry of vessels, we argue that the percentage loss of conductivity (PLC) equals 2PLV–PLV(2) in a special case where all vessels, regardless of size, have the same vulnerability curve. In this special case, this equation predicts the data reasonably well. |
format | Online Article Text |
id | pubmed-6760279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-67602792019-10-02 An improved centrifuge method for determining water extraction curves and vulnerability curves in the long-vessel species Robinia pseudoacacia Peng, Guoquan Yang, Dongmei Liang, Zhao Li, Junhui Tyree, Melvin T J Exp Bot Research Papers Significant improvements to the centrifuge water-extraction method of measuring the percentage loss volume of water (PLV) and corresponding vulnerability curves (VCs) are reported. Cochard and Sperry rotors are both incapable of measuring the VCs of species with long vessels because of premature embolism induced by hypothetical nanoparticles that can be drawn into segments during flow measurement. In contrast, water extraction pushes nanoparticles out of the sample. This study focuses on a long-vessel species, Robinia pseudoacacia, for which many VCs have been constructed by different methods, and the daily water relations have been quantified. PLV extraction curves have dual Weibull curves, and this paper focuses on the second Weibull curve because it involves the extraction of water from vessels, as proven by staining methods. We demonstrate an improved water extraction method after evaporation correction that has accuracy to within 0.5%, shows good agreement with two traditional methods that are slower and less accurate, and is immune to nanoparticle artefacts. Using Poiseuille’s Law and the geometry of vessels, we argue that the percentage loss of conductivity (PLC) equals 2PLV–PLV(2) in a special case where all vessels, regardless of size, have the same vulnerability curve. In this special case, this equation predicts the data reasonably well. Oxford University Press 2019-09-15 2019-05-06 /pmc/articles/PMC6760279/ /pubmed/31056686 http://dx.doi.org/10.1093/jxb/erz206 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Papers Peng, Guoquan Yang, Dongmei Liang, Zhao Li, Junhui Tyree, Melvin T An improved centrifuge method for determining water extraction curves and vulnerability curves in the long-vessel species Robinia pseudoacacia |
title | An improved centrifuge method for determining water extraction curves and vulnerability curves in the long-vessel species Robinia pseudoacacia |
title_full | An improved centrifuge method for determining water extraction curves and vulnerability curves in the long-vessel species Robinia pseudoacacia |
title_fullStr | An improved centrifuge method for determining water extraction curves and vulnerability curves in the long-vessel species Robinia pseudoacacia |
title_full_unstemmed | An improved centrifuge method for determining water extraction curves and vulnerability curves in the long-vessel species Robinia pseudoacacia |
title_short | An improved centrifuge method for determining water extraction curves and vulnerability curves in the long-vessel species Robinia pseudoacacia |
title_sort | improved centrifuge method for determining water extraction curves and vulnerability curves in the long-vessel species robinia pseudoacacia |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760279/ https://www.ncbi.nlm.nih.gov/pubmed/31056686 http://dx.doi.org/10.1093/jxb/erz206 |
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