Evidence map›Paper›PMID 38611465›Full record

ArticlePlants (Basel, Switzerland)2024

Exploitation of the Genetic Variability of Diverse Metric Traits of Durum Wheat (

Zine El Abidine Fellahi, Tahar Boubellouta, Abderrahmane Hannachi, Haroun Belguet, Nasreddine Louahdi, Amar Benmahammed, Aleksandra O Utkina, Nazih Y Rebouh

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. 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
5.4field-weighted citation impact, top 5% 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, 9 citations in OpenAlex.

  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

8 authors at 4 institutions in 2 countries.

Zine El Abidine FellahiDepartment of Agronomic Sciences, Faculty of Natural, Life and Earth Sciences and the Universe, University of Mohamed El Bachir El Ibrahimi, Bordj Bou Arreridj 34030, Algeria.ORCID 0000-0002-1066-325X
Tahar BoubelloutaDepartment of Biological Sciences, Faculty of Natural, Life, Earth and Universe Sciences, University Mohamed El Bachir El Ibrahimi, Bordj Bou Arreridj 34030, Algeria.ORCID 0009-0004-2843-8490
Abderrahmane HannachiNational Agronomic Research Institute of Algeria (INRAA), Setif Research Unit, Setif 19000, Algeria.ORCID 0000-0002-6180-9204
Haroun BelguetExperimental Farm, Field Crop Institute (ITGC), Farm Road-BP03, Setif 19000, Algeria.
Nasreddine LouahdiExperimental Farm, Field Crop Institute (ITGC), Farm Road-BP03, Setif 19000, Algeria.
Amar BenmahammedValorization of Natural Biological Resources Laboratory (VNBR), University of Ferhat Abbas Setif-1, Setif 19000, Algeria.
Aleksandra O UtkinaDepartment of Environmental Management, Institute of Environmental Engineering, RUDN University, 6 Miklukho-Maklaya St., 117198 Moscow, Russia.
Nazih Y RebouhDepartment of Environmental Management, Institute of Environmental Engineering, RUDN University, 6 Miklukho-Maklaya St., 117198 Moscow, Russia.
Peoples' Friendship University of Russia · RUUniversity Ferhat Abbas of Setif · DZInstitut National de la Recherche Agronomique d'Algérie · DZUniversity Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj · DZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abiotic stresses pose significant challenges to wheat farming, yet exploiting the genetic variability within germplasm collections offers an opportunity to effectively address these challenges. In this study, we investigated the genetic diversity of key agronomic traits among twenty durum wheat cultivars, with the intention to pinpoint those better suited to semi-arid conditions. Field trials were conducted at the ITGC-FDPS Institute, Setif, Algeria, during the winter season of 2021/22. A completely randomized design was used with three replicates. Statistical analyses revealed significant variation among the genotypes for most of the studied traits, with some cultivars exhibiting a superior performance in a stressful environment. Notably, traits like the number of grains per spike (NGS) and the grain yield (GY) displayed high genotypic coefficients of variation (CVg). Except for membrane thermostability (MT) and biological yield (BY), the majority of the assessed traits exhibited moderate-to-high heritability estimates. Genotypic and phenotypic correlation studies have confirmed the importance of many yield-related traits in the expression of GY. The harvest index (HI) underscored the highest genotypic direct effect on GY, followed closely by spike number (SN), serving as consistent pathways through which most of the measured traits indirectly influenced GY. The cluster analysis categorized the durum wheat cultivars into seven distinct clusters. The largest inter-cluster distance was observed between clusters G3 and G4 (D

Indexed as

adaptationgenotypic correlationMahalanobis distancepath analysisperformancesemi-aridTriticum durum

Identifiers

PMID38611465
PMCPMC11013882
OpenAlexW4393161461

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.