Evidence map›Paper›PMID 35521504›Full record

ArticleHeliyon2022

Pomegranate morpho-chemodiversity: computational investigations based on

Assia Ejjilani, Karim Houmanat, Hafida Hanine, Lahcen Hssaini, Kaoutar Elfazazi, Francisca Hernandez, Ilham Hmid, Rachid Razouk

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. 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
0.6field-weighted citation impact, top 39% of its field
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, 5 citations in OpenAlex.

  1. Exploring Italian AutochthonousPlants (Basel, Switzerland) · 2024
    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

8 authors at 2 institutions in 2 countries.

Assia EjjilaniNational Institute of Agricultural Research (INRA), Morocco.
Karim HoumanatNational Institute of Agricultural Research (INRA), Morocco.
Hafida HanineFaculty of Sciences and Techniques, Laboratory of Bioprocess and Bio-Interfaces, University of Sutan Moulay Slimane, Beni-Mellal, Morocco.
Lahcen HssainiNational Institute of Agricultural Research (INRA), Morocco.
Kaoutar ElfazaziNational Institute of Agricultural Research (INRA), Morocco.
Francisca HernandezDpto. Producción Vegetal y Microbiología, Grupo de Investigación de Producción Vegetal y Tecnología, cuela Politécnica Superior de Orihuela (Universidad Miguel Hernández de Elche), Ctra. de Beniel, km 3,2, E- 03312 Orihuela, Alicante, Spain.
Ilham HmidFaculty of Sciences and Techniques, Laboratory of Bioprocess and Bio-Interfaces, University of Sutan Moulay Slimane, Beni-Mellal, Morocco.
Rachid RazoukNational Institute of Agricultural Research (INRA), Morocco.
Université Sultan Moulay Slimane · MAUniversitat de Miguel Hernández d'Elx · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pomegranate tree is cultivated since ancient times in Morocco, where a high genetic diversity is hosted mainly in traditional agroecosystems. Over the past decade, it regained importance through extension of cultivated area, but remains thus far little valued. To date, its genetic variability and chemodiversity have gone unheeded for many reasons, some of which are related to previous agricultural strategies. In this context, the present study aimed to screen an ex-situ collection of seven local cultivars and seven exotic varieties with regard to 50 fruit morphometric and biochemical descriptors. The results showed statistically significant variability within accessions (p < 0.01), based on all aforementioned traits, except for seed weight, with coefficients of variation greater than 49%. This indicated a high level of phenotypic diversity among the studied genetic pool. The 3D scatter plot built based on the principal component analysis displayed an interesting discrimination with regard to the genotypes' geographic origins with a total variance of about 50%. According to morphometric based-heatmap, four main clusters were identified distinguishing the typicality of some local cultivars compared to exotic varieties, mainly 'Sefri', 'Bzou', 'Chioukhi' and 'Djeibi'. Traits having the highest impact on discrimination between accessions were, by order of importance, fruit weight and its dimensions, juice yield, aril yield, single aril diameter, soluble sugars (glucose and fructose) along with contents in some organic acids, including citric, palmitic, linoleic and malic acids. Potential statistically significant correlations were spotted through bi-dimensional heatmap analysis, particularly between the fruit size, shape and peel traits along with some biochemical attributes. As many areas of the species chemodiversity and functional properties are still needed to be investigated further, the results of the present study are of great interest for the species valorization and for breeding programs.

Indexed as

Fruit quality traitsJuice proprietiesLipo-biochemical attributesPhenotypic diversityPunica granatum L.

Identifiers

PMID35521504
PMCPMC9065899
OpenAlexW4224947044

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.