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231225s2019 xx |||||o 00| ||eng c |
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|a 10.1093/jxb/erz206
|2 doi
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|a pubmed24n0989.xml
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|a (DE-627)NLM296761885
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|a (NLM)31056686
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Peng, Guoquan
|e verfasserin
|4 aut
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|a An improved centrifuge method for determining water extraction curves and vulnerability curves in the long-vessel species Robinia pseudoacacia
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|c 2019
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 27.07.2020
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|a Date Revised 27.07.2020
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|a published: Print
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|a ErratumIn: J Exp Bot. 2020 Feb 19;71(4):1645. - PMID 31665399
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|a Citation Status MEDLINE
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|a © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Experimental Biology.
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|a 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-PLV2 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
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Robinia pseudoacacia
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|a Nanoparticles
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|a vulnerability curves
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|a water extraction
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|a Water
|2 NLM
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| 650 |
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|a 059QF0KO0R
|2 NLM
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| 700 |
1 |
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|a Yang, Dongmei
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liang, Zhao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Li, Junhui
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Tyree, Melvin T
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Journal of experimental botany
|d 1985
|g 70(2019), 18 vom: 24. Sept., Seite 4865-4876
|w (DE-627)NLM098182706
|x 1460-2431
|7 nnns
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| 773 |
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|g volume:70
|g year:2019
|g number:18
|g day:24
|g month:09
|g pages:4865-4876
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|u http://dx.doi.org/10.1093/jxb/erz206
|3 Volltext
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