Evidence map›Paper›PMID 38139522›Full record

ArticleSensors (Basel, Switzerland)2023

An Aquaphotomics Approach for Investigation of Water-Stress-Induced Changes in Maize Plants.

Daniela Moyankova, Petya Stoykova, Petya Veleva, Nikolai K Christov, Antoniya Petrova, Stefka Atanassova

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Daniela MoyankovaAgroBioInstitute, Agricultural Academy, 1164 Sofia, Bulgaria.ORCID 0000-0003-4020-1918
Petya StoykovaAgroBioInstitute, Agricultural Academy, 1164 Sofia, Bulgaria.
Petya VelevaFaculty of Agriculture, Trakia University, 6000 Stara Zagora, Bulgaria.ORCID 0000-0001-7813-6387
Nikolai K ChristovAgroBioInstitute, Agricultural Academy, 1164 Sofia, Bulgaria.ORCID 0000-0002-4498-3411
Antoniya PetrovaFaculty of Agriculture, Trakia University, 6000 Stara Zagora, Bulgaria.
Stefka AtanassovaFaculty of Agriculture, Trakia University, 6000 Stara Zagora, Bulgaria.ORCID 0000-0003-1797-9879

Funding

National Science Fund of Bulgaria KP-06-H51/3.
6 · The paper itself

Abstract

The productivity of plants is considerably affected by various environmental stresses. Exploring the specific pattern of the near-infrared spectral data acquired non-destructively from plants subjected to stress can contribute to a better understanding of biophysical and biochemical processes in plants. Experiments for investigating NIR spectra of maize plants subjected to water stress were conducted. Two maize lines were used: US corn-belt inbred line B37 and mutant inbred XM 87-136, characterized by very high drought tolerance. After reaching the 4-leaf stage, 10 plants from each line were subjected to water stress, and 10 plants were used as control, kept under a regular water regime. The drought lasted until day 17 and then the plants were recovered by watering for 4 days. A MicroNIR OnSite-W Spectrometer (VIAVI Solutions Inc., Chandler, AZ, USA) was used for in vivo measurement of each maize leaf spectra. PLS models for determining drought days were created and aquagrams were calculated separately for the plants' second, third, and fourth leaves. Differences in absorption spectra were observed between control, stressed, and recovered maize plants, as well as between different measurement days of stressed plants. Aquagrams were used to visualize the water spectral pattern in maize leaves and how it changes along the drought process.

Indexed as

DehydrationZea maysDroughtsPlant LeavesStress, Physiologicalaquagramsmaize plantNIR spectrawater stress

Identifiers

PMID38139522
PMCPMC10747378

What OpenQuestion holds

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LicenceCC BY
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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.