Evidence map›Paper›PMID 35631746›Full record

ArticlePlants (Basel, Switzerland)2022

Phenotypic and Genotypic Characterization and Correlation Analysis of Pea (

Ana Uhlarik, Marina Ćeran, Dalibor Živanov, Radu Grumeza, Leif Skøt, Ellen Sizer-Coverdale, David Lloyd

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Ana UhlarikInstitute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, Serbia.
Marina ĆeranInstitute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, Serbia.
Dalibor ŽivanovInstitute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, Serbia.ORCID 0000-0002-1011-6715
Radu GrumezaAgro Seed Research, Nijverheidslaan 1506, 3660 Oudsbergen, Belgium.ORCID 0000-0003-2626-797X
Leif SkøtInstitute of Biological, Environmental & Rural Sciences (IBERS), Aberystwyth University, Penglais, Ceredigion, Aberystwyth SY23 3DA, UK.
Ellen Sizer-CoverdaleInstitute of Biological, Environmental & Rural Sciences (IBERS), Aberystwyth University, Penglais, Ceredigion, Aberystwyth SY23 3DA, UK.
David LloydInstitute of Biological, Environmental & Rural Sciences (IBERS), Aberystwyth University, Penglais, Ceredigion, Aberystwyth SY23 3DA, UK.

Funding

European Union's Horizon 2020 Programme for Research & Innovation (project EUCLEG) 727312Ministry of Education, Science and Technological Development of the Republic of Serbia 451-03-68/2022-14/ 200032
6 · The paper itself

Abstract

Phenotypic and genotypic characterization were performed to assess heritability, variability, and seed yield stability of pea genotypes used in breeding to increase the pea production area. A European pea diversity panel, including genotypes from North America, Asia, and Australia consisting of varieties, breeding lines, pea, and landraces was examined in 2019 and 2020 in Serbia and Belgium using augmented block design. The highest heritability was for thousand seed weight; the highest coefficient of variation was for seed yield. The highest positive correlation was between number of seeds per plant and number of pods per plant; the highest negative correlation was between seed yield and protein content. Hierarchical clustering separated pea germplasm based on use and type. Different Principal component analysis grouping of landraces, breeding lines, and varieties, as well as forage types and garden and dry peas, confirms that there was an apparent decrease in similarity between the genotypes, which can be explained by their different purposes. Pea breeding should be focused on traits with consistent heritability and a positive effect on seed yield when selecting high-yielding genotypes, and on allowing for more widespread use of pea in various agricultural production systems.

Indexed as

correlationheritabilitypeaproteinseed yieldyield components

Identifiers

PMID35631746
PMCPMC9146737

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.