Evidence map›Paper›PMID 33886606›Full record

ArticlePloS one2021

Morpho-agronomic, biochemical and molecular analysis of genetic diversity in the Mesoamerican common bean panel.

Alison Fernando Nogueira, Vania Moda-Cirino, Jessica Delfini, Luriam Aparecida Brandão, Silas Mian, Leonel Vinicius Constantino, Douglas Mariani Zeffa, José Dos Santos Neto, Leandro Simões Azeredo Gonçalves

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Uncovering Phenotypic Variation in Common Bean (Plants (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Genetic Diversity of Common Bean (Plants (Basel, Switzerland) · 2024
    Article
  4. Article
  5. 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

9 authors.

Alison Fernando NogueiraAgronomy Department, Universidade Estadual de Londrina (UEL), Londrina, Paraná, Brazil.ORCID 0000-0003-4395-3218
Vania Moda-CirinoInstituto de Desenvolvimento Rural do Paraná - IAPAR - EMATER (IDR-IAPAR-EMATER), Londrina, Paraná, Brazil.
Jessica DelfiniAgronomy Department, Universidade Estadual de Londrina (UEL), Londrina, Paraná, Brazil.
Luriam Aparecida BrandãoAgronomy Department, Universidade Estadual de Londrina (UEL), Londrina, Paraná, Brazil.ORCID 0000-0001-5029-5677
Silas MianAgronomy Department, Universidade Estadual de Londrina (UEL), Londrina, Paraná, Brazil.
Leonel Vinicius ConstantinoAgronomy Department, Universidade Estadual de Londrina (UEL), Londrina, Paraná, Brazil.
Douglas Mariani ZeffaInstituto de Desenvolvimento Rural do Paraná - IAPAR - EMATER (IDR-IAPAR-EMATER), Londrina, Paraná, Brazil.ORCID 0000-0002-0808-7230
José Dos Santos NetoInstituto de Desenvolvimento Rural do Paraná - IAPAR - EMATER (IDR-IAPAR-EMATER), Londrina, Paraná, Brazil.
Leandro Simões Azeredo GonçalvesAgronomy Department, Universidade Estadual de Londrina (UEL), Londrina, Paraná, Brazil.ORCID 0000-0001-9700-9375

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The common bean (Phaseolus vulgaris L.) is of great importance to the food and nutritional security of many populations, and exploitation of the crop's genetic diversity is essential for the success of breeding programs. Thus, the aim of the present study was to evaluate the genetic diversity of 215 common bean accessions, which included cultivars, obsolete cultivars, improved lines, and landraces using morpho-agronomic and biochemical traits, and amplified fragment length polymorphism markers (AFLP). Genetic parameters, box plots, Pearson's correlation analysis, and Ward's hierarchical clustering were used to analyze the data. The Jaccard similarity coefficient and neighbour-joining clustering method were used for molecular analysis. A wide variability among the accessions was observed for morpho-agronomic and biochemical traits. Selective accuracy (Ac) and broad-sense heritability (h2) values were high to intermediate for all traits, except seed yield. Ward's hierarchical clustering analysis generated six groups. AFLP analysis also revealed significant differences among the accessions. There was no correlation between the differences based on genetic markers and those based on morpho-agronomic and biochemical data, which indicates that both datasets are important for elucidating the differences among accessions. The results of the present study indicate great genetic diversity among the evaluated accessions.

Indexed as

Polymorphism, GeneticCrop ProductionPhaseolusQuantitative Trait, HeritableSelective Breeding

Identifiers

PMID33886606
PMCPMC8062103

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Registered trials

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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.