Evidence map›Paper›PMID 34668965›Full record

ArticleAnnals of botany2022

Root pressure-volume curve traits capture rootstock drought tolerance.

M K Bartlett, G Sinclair, G Fontanesi, T Knipfer, M A Walker, A J McElrone

Abstract read
In one paragraph

Article in Annals of botany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  14. Expression of PotatoFrontiers in plant science · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

M K BartlettDepartment of Viticulture & Enology, University of California, Davis, CA, USA.
G SinclairDepartment of Viticulture & Enology, University of California, Davis, CA, USA.
G FontanesiDepartment of Viticulture & Enology, University of California, Davis, CA, USA.
T KnipferDepartment of Viticulture & Enology, University of California, Davis, CA, USA.
M A WalkerDepartment of Viticulture & Enology, University of California, Davis, CA, USA.
A J McElroneDepartment of Viticulture & Enology, University of California, Davis, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsLiving root tissues significantly constrain plant water uptake under drought, but we lack functional traits to feasibly screen diverse plants for variation in the drought responses of these tissues. Water stress causes roots to lose volume and turgor, which are crucial to root structure, hydraulics and growth. Thus, we hypothesized that root pressure-volume (p-v) curve traits, which quantify the effects of water potential on bulk root turgor and volume, would capture differences in rootstock drought tolerance.

methodsWe used a greenhouse experiment to evaluate relationships between root p-v curve traits and gas exchange, whole-plant hydraulic conductance and biomass under drought for eight grapevine rootstocks that varied widely in drought performance in field trials (101-14, 110R, 420A, 5C, 140-Ru, 1103P, Ramsey and Riparia Gloire), grafted to the same scion variety (Vitis vinifera 'Chardonnay'). KEY

resultsThe traits varied significantly across rootstocks, and droughted vines significantly reduced root turgor loss point (πtlp), osmotic potential at full hydration (πo) and capacitance (C), indicating that roots became less susceptible to turgor loss and volumetric shrinkage. Rootstocks that retained a greater root volume (i.e. a lower C) also maintained more gas exchange under drought. The rootstocks that previous field trials have classified as drought tolerant exhibited significantly lower πtlp, πo and C values in well-watered conditions, but significantly higher πo and πtlp values under water stress, than the varieties classified as drought sensitive.

conclusionsThese findings suggest that acclimation in root p-v curve traits improves gas exchange in persistently dry conditions, potentially through impacts on root hydraulics or root to shoot chemical signalling. However, retaining turgor and volume in previously unstressed roots, as these roots deplete wet soil to moderately negative water potentials, could be more important to drought performance in the deep, highly heterogenous rooting zones which grapevines develop under field conditions.

Indexed as

DroughtsVitisDehydrationPlant LeavesPlant RootsSoilSoilcapacitancegrapevinepressure–volumeroot drought toleranceRoot hydraulicsrootstockturgor loss pointVitis

Identifiers

PMID34668965
PMCPMC8944712

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.