Evidence map›Paper›PMID 38408939›Full record

ArticleBMC plant biology2024

Effect of carboxymethyl cellulose and gibberellic acid-enriched biochar on osmotic stress tolerance in cotton.

Lisheng Qian, Shoucheng Huang, Zhihua Song, Shah Fahad, Khadim Dawar, Subhan Danish, Hina Saif, Khurram Shahzad, Mohammad Javed Ansari, Saleh H Salmen

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Lisheng QianCollege of Life and Health Science, Anhui Science and Technology University, Fengyang, 233100, China.
Shoucheng HuangCollege of Life and Health Science, Anhui Science and Technology University, Fengyang, 233100, China.
Zhihua SongCollege of Food Science, Anhui Science and Technology University, Fengyang, 233100, China.
Shah FahadDepartment of Agronomy, Abdul Wali Khan University Mardan, Mardan, 23200, Khyber Pakhtunkhwa, Pakistan. shah_fahad80@yahoo.com.
Khadim DawarDepartment of Soil and Environmental Science, the University of Agriculture Peshawar, Peshawar, Pakistan.
Subhan DanishDepartment of Soil Science, Faculty of Agricultural Sciences and Technology, Bahauddin Zakariya University, Multan, Punjab, Pakistan. sd96850@gmail.com.
Hina SaifDepartment of Environmental Sciences, Woman University Multan, Multan, Punjab, Pakistan.
Khurram ShahzadDepartment of Soil Science, University College of Dera Murad Jamali, LUAWMS, Dera Murad Jamali, Balochistan, Pakistan.
Mohammad Javed AnsariDepartment of Botany, Hindu College Moradabad (MJP Rohilkhand University Bareilly), Moradabad, 244001, India.
Saleh H SalmenDepartment of Botany and Microbiology, College of Science, King Saud University, PO Box -2455, Riyadh, 11461, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The deleterious impact of osmotic stress, induced by water deficit in arid and semi-arid regions, poses a formidable challenge to cotton production. To protect cotton farming in dry areas, it's crucial to create strong plans to increase soil water and reduce stress on plants. The carboxymethyl cellulose (CMC), gibberellic acid (GA

Indexed as

Carboxymethylcellulose SodiumCharcoalGibberellinsGossypiumChlorophyll AOsmotic PressureWaterbiocharCarboxymethylcellulose SodiumCharcoalChlorophyll Agibberellic acidGibberellinsWaterBiocharCarboxymethyl celluloseChlorophyll contentOsmotic stressReactive oxygen species

Identifiers

PMID38408939
PMCPMC10895763

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.