Evidence map›Paper›PMID 40064990›Full record

ArticleScientific reports2025

Index-Based selection of Chickpea (Cicer arietinum L.) genotypes for enhanced drought tolerance.

P S Basavaraj, Jagadish Rane, Krishna Kumar Jangid, Rohit Babar, Mahesh Kumar, Anuja Gangurde, Shweta Shinde, K M Boraiah, C B Harisha, Hanamant M Halli and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Seed Nanopriming with ZnO and SiOPlants (Basel, Switzerland) · 2025
    Article
  4. 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

12 authors.

P S BasavarajICAR-National Institute of Abiotic Stress Management, Malegaon, India. bassuptl@gmail.com.
Jagadish RaneICAR-National Institute of Abiotic Stress Management, Malegaon, India. jagadish.rane@icar.gov.in.
Krishna Kumar JangidICAR-National Institute of Abiotic Stress Management, Malegaon, India.
Rohit BabarICAR-National Institute of Abiotic Stress Management, Malegaon, India.
Mahesh KumarICAR-Indian Agriculture Research Institute, New Delhi, India.
Anuja GangurdeICAR-National Institute of Abiotic Stress Management, Malegaon, India.
Shweta ShindeICAR-National Institute of Abiotic Stress Management, Malegaon, India.
K M BoraiahICAR-National Institute of Abiotic Stress Management, Malegaon, India.
C B HarishaICAR-National Institute of Abiotic Stress Management, Malegaon, India.
Hanamant M HalliICAR-National Institute of Abiotic Stress Management, Malegaon, India.
K Sammi ReddyICAR-National Institute of Abiotic Stress Management, Malegaon, India.
M PrabhakarICAR-Central Research Institute for Dryland Agriculture, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chickpea, a protein-rich legume grown primarily in tropical and subtropical regions, faces significant challenges due to drought stress. A field study was conducted over two years (2020-21 and 2021-22) aimed to identify chickpea genotypes that are tolerant to drought. The study involved 25 chickpea genotypes subjected to irrigated (control) and water stress (drought) conditions and the experiment was arranged in a split-plot design. The study results indicated significant variation among the genotypes, water treatments, years, and their interactions. Multiple stress tolerance indices, association analysis, principal component analysis, biplot analysis, clustering, and ranking methods were employed to identify drought tolerant genotypes. The stress tolerance index (STI), mean relative performance (MRP), and relative efficiency index (REI) were identified as the most effective indicators for pinpointing genotypes with high yield potential under both experimental conditions. Genotypes viz., BDG75, BGD103, Digvijay, ICCV92944, ICC4958, and JG16 showed high drought tolerance, as evidenced by their favourable performance in terms of mean rank, standard deviation of ranks, and rank sum. Conversely, the genotypes ICCV96030, JG63, GNG1581, JG12, PG186, GG2, Pusa362, and SAKI9516 were found sensitive. Correlation analysis, ranking techniques, cluster analysis, PCA, and biplot analysis effectively distinguished between drought-tolerant and drought-sensitive genotypes. The biplot analysis further reconfirmed the notable drought tolerance of the BDG75, BGD103, Digvijay, ICCV92944, ICC4958, and JG16 genotypes. This study demonstrated that an index-based selection approach can be used to screen and identify chickpea genotypes that exhibit higher tolerance to water stress effectively and rapidly. Therefore, the findings underscore the potential of using selection indices as a viable strategy for enhancing drought tolerance in chickpeas.

Indexed as

CicerDroughtsDrought ResistanceGenotypePlant BreedingStress, PhysiologicalClimate changeDroughtIndex-based selectionSeed yield

Identifiers

PMID40064990
PMCPMC11893907

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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.