Evidence map›Paper›PMID 40610582›Full record

ArticleScientific reports2025

Delineating genotype × environment interaction for horticultural traits in tomato using GGE and AMMI biplot analysis.

Jagesh Kumar Tiwari, Nagendra Rai, Manish Kumar Singh, Yerasu Suresh Reddy, Rajesh Kumar

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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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Jagesh Kumar TiwariIndian Council of Agricultural Research-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh, 221305, India. jageshtiwari@gmail.com.ORCID http://orcid.org/0000-0002-3936-1458
Nagendra RaiIndian Council of Agricultural Research-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh, 221305, India.
Manish Kumar SinghIndian Council of Agricultural Research-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh, 221305, India.
Yerasu Suresh ReddyIndian Council of Agricultural Research-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh, 221305, India.
Rajesh KumarIndian Council of Agricultural Research-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh, 221305, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to identify stable tomato hybrids for cultivation in India. The genotype-by-environment (G × E) interaction analysis was performed using GGE and AMMI biplots. Fifteen hybrids including two checks were grown in nine environments during winter, summer, and rainy seasons from 2021 to 2024 at Varanasi. G × E interaction was investigated for days to first harvesting, average fruit weight, pericarp thickness, total soluble solids (TSS), yield, and resistance to tomato leaf curl virus disease (ToLCD). The GGE biplot analysis identified stable and superior hybrids as well as ideal environments, based on mean vs. stability, which-won-where, discriminativeness vs. representativeness, genotype by trait (GT), genotype by yield × trait (GYT), and multi-trait genotype-ideotype distance index (MGIDI). As a result, we identified stable hybrids such as VRTH-16-4 (G2) and VRTH-16-3 (G1) for yield; VRTH-16-70 (G5) and VRTH-19-18 (G11) for days to first harvesting; VRTH-16-5 (G3) and VRTH-16-8 (G4) for fruit weight; VRTH-16-8 (G4) and VRTH-16-5 (G3) for pericarp thickness; VRTH-16-75 (G6) and VRTH-18-26 (G8) for TSS; and VRTH-16-5 (G3) and VRTH-16-70 (G5) for ToLCD resistance. Overall, this study highlights that tomato hybrids VRTH-16-4, VRTH-16-90, and VRTH-18-46 have potential for cultivation during heat and cool weather conditions.

Indexed as

Gene-Environment InteractionSolanum lycopersicumDisease ResistanceFruitGenotypeHybridization, GeneticIndiaPhenotypePlant BreedingPlant DiseasesQuantitative Trait, HeritableAMMI biplotG × E interactionGGE biplotHeat stressProcessingToLCDTomatoYield

Identifiers

PMID40610582
PMCPMC12229600

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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.