Evidence map›Paper›PMID 42056144›Full record

ArticleScientific reports2026

Characterization of turmeric (Curcuma longa L.) on various quantitative characters for future breeding programs.

Suddhasuchi Das, Pradip Dey, Apurba Bandyopadhyay

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Suddhasuchi DasMalda Krishi Vigyan Kendra, Uttar Banga Krishi Viswavidyalaya, Ratua, Malda, 732205, India. das.suddhasuchi@gmail.com.
Pradip DeyMalda Krishi Vigyan Kendra, Uttar Banga Krishi Viswavidyalaya, Ratua, Malda, 732205, India.
Apurba BandyopadhyayMalda Krishi Vigyan Kendra, Uttar Banga Krishi Viswavidyalaya, Ratua, Malda, 732205, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the interrelationships among growth, yield, and quality traits in turmeric is crucial for effective multi-trait selection, yet comprehensive information remains limited. This study evaluated twenty-four diverse genotypes over two growing seasons to quantify trait variability, identify major determinants of yield, and select promising lines for future improvement. Substantial variability was observed, with plant height ranging from 98.31 to 138.27 cm and projected yield from 24.92 to 30.91 t/ha. Aleppy Supreme recorded the highest curcumin content, followed by BSR-II and Pratibha. Genotypic correlations exceeded phenotypic correlations, indicating stronger genetic control of trait associations. Path coefficient analysis revealed that primary rhizome weight per clump had the highest positive direct effect on rhizome yield per plant, marking it as a critical selection criterion. Principal component analysis and per se performance identified six superior genotypes-Pratibha, Rajendra Sonia, Suguna-1, Suranjana, RCE-3, and Midnapur-combining favourable yield and quality attributes. The integrated evidence indicates that primary rhizome weight per clump is the most effective selection index for improving rhizome yield in turmeric. Accordingly, breeding strategies should prioritise this trait to enhance yield potential and develop improved cultivars.

Indexed as

CurcumaPlant BreedingGenotypePhenotypeRhizomeCorrelationDirect selectionGermplasmsPath analysisRhizome yield

Identifiers

PMID42056144
PMCPMC13319233

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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.