Evidence map›Paper›PMID 32033402›Full record

ArticlePlants (Basel, Switzerland)2020

Tomato Phenotypic Diversity Determined by Combined Approaches of Conventional and High-Throughput Tomato Analyzer Phenotyping.

Amol N Nankar, Ivanka Tringovska, Stanislava Grozeva, Daniela Ganeva, Dimitrina Kostova

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Quality analysis ofFood chemistry: X · 2025
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  6. Tracing Back the History of Pepper (Plants (Basel, Switzerland) · 2022
    Article
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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.

Amol N NankarCenter of Plant Systems Biology and Biotechnology (CPSBB), 4000 Plovdiv, Bulgaria.ORCID 0000-0003-3042-3461
Ivanka TringovskaMaritsa Vegetable Crops Research Institute (MVCRI), 4003 Plovdiv, Bulgaria.
Stanislava GrozevaMaritsa Vegetable Crops Research Institute (MVCRI), 4003 Plovdiv, Bulgaria.
Daniela GanevaMaritsa Vegetable Crops Research Institute (MVCRI), 4003 Plovdiv, Bulgaria.
Dimitrina KostovaCenter of Plant Systems Biology and Biotechnology (CPSBB), 4000 Plovdiv, Bulgaria.

Funding

Horizon 2020 677279Horizon 2020 739582
6 · The paper itself

Abstract

Morphological variation in vegetative and fruit traits is a key determinant in unraveling phenotypic diversity. This study was designed to assess phenotypic diversity in tomatoes and examine intra- and intervarietal groups' variability using 28 conventional descriptors (CDs) and 47 Tomato Analyzer (TA) descriptors related to plant and fruit morphometry. Comprehensive phenotyping of 150 accessions representing 21 countries discerned noticeable variability for CD vegetative traits and TA quantified fruit features, such as shape, size, and color. Hierarchical cluster analysis divided the accessions into 10 distinct classes based on fruit shape and size. Multivariate analysis was used to assess divergence in variable traits among populations. Eight principal components with an eigenvalue >1 were identified by factor analysis, which contributed 87.5% variation to the total cumulative variance with the first two components contributing 32.0% and 18.1% variance, respectively. The relationship between vegetative and fruit descriptors was explained by respective CD and TA correlation networks. There was a strong positive correlation between fruit shape and size whereas negative correlations were between fruit shape index, internal eccentricity, and proximal end shape. The combined approach of CD and TA phenotyping allowed us to unravel the phenotypic diversity of vegetative and reproductive trait variation evaluated at pre- and post-harvest stages.

Indexed as

Bulgarian tomatoconventional phenotypingdata visualizationfruit diversityfruit morphometric and colorimetric traitshigh-throughput fruit phenomicsTomato Analyzertomato genetic variability

Identifiers

PMID32033402
PMCPMC7076427

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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.