Evidence map›Paper›PMID 39968155›Full record

ArticleHeliyon2025

Combining ability and gene action for fruit yield components, quality, shelf life and reaction to tomato leaf curl virus disease.

K V Manjunath, Sibsankar Das, Rajdeep Guha Mallick, Pranab Hazra, Arup Chattopadhyay, Anirban Maji

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

K V ManjunathDepartment of Vegetable Science, Faculty of Horticulture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Sibsankar DasDepartment of Vegetable Science, Faculty of Horticulture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Rajdeep Guha MallickDepartment of Vegetable Science, Faculty of Horticulture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Pranab HazraDepartment of Vegetable Science, Faculty of Horticulture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Arup ChattopadhyayDepartment of Vegetable Science, Faculty of Horticulture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Anirban MajiDepartment of Genetics and Plant Breeding, Faculty of Agriculture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tomato, an essential food for humans, is frequently referred to as "protective food" since it contains abundant quantities of vitamins, minerals, phenolic compounds and organic acids. Prevalence of tomato leaf curl virus is a major hindrance for successful production of tomatoes in tropical and subtropical parts of the world. Besides, tomato fruit is highly perishable and vulnerable to significant post-harvest losses. So, genetic improvement for resistance to tomato leaf curl virus, enhancement of shelf life, fruit quality, and productivity helps in sustainable production of this important vegetable crop. The present study aimed at determining combining ability effects of parents and gene action for conditioning 8 quantitative traits through line × tester analysis. Three ripening delaying mutants having longer shelf life of fruits were employed as lines and 7 leaf curl virus resistant genotypes possessing specific tomato leaf curl virus resistant gene (s) (

Indexed as

Combining abilityGene actionLine × tester analysisQualityShelf lifeTomato leaf curl virus

Identifiers

PMID39968155
PMCPMC11834039

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.