Evidence map›Paper›PMID 40303859›Full record

ArticleFrontiers in plant science2025

Genetic diversity in F3 segregating populations of rice (

Azhar Ali Laghari, Aqeel Ahmad, Shabana Memon, Syed Abdul Majeed Musavi, Aamir Ali, Akash Kumar, Qingxia Guo

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Azhar Ali LaghariCollege of Resources and Environment, Shanxi Agricultural University, Jinzhong, China.
Aqeel AhmadKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Shabana MemonDepartment of Plant Breeding and Genetics, Sindh Agriculture University, Hyderabad, Pakistan.
Syed Abdul Majeed MusaviDepartment of Plant Breeding and Genetics, Sindh Agriculture University, Hyderabad, Pakistan.
Aamir AliCollege of Agriculture, Shanxi Agricultural University, Jinzhong, China.
Akash KumarSchool of Civil Engineering, Guangzhou University, Guangzhou, China.
Qingxia GuoCollege of Resources and Environment, Shanxi Agricultural University, Jinzhong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is an important cereal crop rich in starch and carbohydrates grown around the globe. Despite its significance, rice exhibits substantial genetic variation, particularly under environmental stresses such as salinity. This study investigates the genetic diversity of F3 segregating populations of rice under normal and salt stress. Various segregating genotypes were evaluated, demonstrating statistically significant differences (p<0.01 and p<0.05, ANOVA) in morphological and physiological parameters. The genotypes Kharagnjia and L-12 performed well in normal soils, while Shua-92 and L-20 showed better performance in tiller plant-1 and panicle length. The cluster analysis grouped rice genotypes into four major clusters based on genetic similarity. Principal Component Analysis (PCA) identified tillers per plant, panicle length, grain yield per plant, and leaf area as key contributors to genetic variation. The highest variability was observed in PC-XII (100%) and PC-XI (98.3%). These findings provide valuable insights for breeding programs aimed at enhancing salt tolerance in rice.

Indexed as

Chlorophyll contentF3 segregating populationsgenetic diversityleaf arearice (Oryza sativa L.)salinity tolerancesalt stress

Identifiers

PMID40303859
PMCPMC12039761

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Registered trials

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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.