Evidence map›Paper›PMID 33273661›Full record

ArticleScientific reports2020

Linking diverse salinity responses of 14 almond rootstocks with physiological, biochemical, and genetic determinants.

Devinder Sandhu, Amita Kaundal, Biswa R Acharya, Thomas Forest, Manju V Pudussery, Xuan Liu, Jorge F S Ferreira, Donald L Suarez

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 37 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Devinder SandhuUSDA-ARS, U.S. Salinity Lab, 450 W Big Springs Road, Riverside, CA, 92507, USA. devinder.sandhu@usda.gov.
Amita KaundalUSDA-ARS, U.S. Salinity Lab, 450 W Big Springs Road, Riverside, CA, 92507, USA.
Biswa R AcharyaUSDA-ARS, U.S. Salinity Lab, 450 W Big Springs Road, Riverside, CA, 92507, USA.
Thomas ForestUSDA-ARS, U.S. Salinity Lab, 450 W Big Springs Road, Riverside, CA, 92507, USA.
Manju V PudusseryUSDA-ARS, U.S. Salinity Lab, 450 W Big Springs Road, Riverside, CA, 92507, USA.
Xuan LiuUSDA-ARS, U.S. Salinity Lab, 450 W Big Springs Road, Riverside, CA, 92507, USA.
Jorge F S FerreiraUSDA-ARS, U.S. Salinity Lab, 450 W Big Springs Road, Riverside, CA, 92507, USA.
Donald L SuarezUSDA-ARS, U.S. Salinity Lab, 450 W Big Springs Road, Riverside, CA, 92507, USA.
U.S. Salinity Laboratory · USUniversity of California, Riverside · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fourteen commercial almond rootstocks were tested under five types of irrigation waters to understand the genetic, physiological, and biochemical bases of salt-tolerance mechanisms. Treatments included control (T1) and four saline water treatments dominant in sodium-sulfate (T2), sodium-chloride (T3), sodium-chloride/sulfate (T4), and calcium/magnesium-chloride/sulfate (T5). T3 caused the highest reduction in survival rate and trunk diameter, followed by T4 and T2, indicating that Na and, to a lesser extent, Cl were the most toxic ions to almond rootstocks. Peach hybrid (Empyrean 1) and peach-almond hybrids (Cornerstone, Bright's Hybrid 5, and BB 106) were the most tolerant to salinity. Rootstock's performance under salinity correlated highly with its leaf Na and Cl concentrations, indicating that Na

Indexed as

GenotypeSalt StressAgricultural IrrigationChloridesPlant LeavesPlant RootsPrunus dulcisSodiumChloridesSodium

Identifiers

PMID33273661
PMCPMC7712888
OpenAlexW3109738097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.