Evidence map›Paper›PMID 30068292›Full record

ArticleBMC genetics2018

Genetic variation and structure of maize populations from Saoura and Gourara oasis in Algerian Sahara.

Miyassa Meriem Aci, Antonio Lupini, Antonio Mauceri, Abdelkader Morsli, Lakhdar Khelifi, Francesco Sunseri

Abstract read
In one paragraph

Article in BMC genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Enumerating the phytic acid content in maize germplasm and formulation of reference set to enhance the breeding for low phytic acid.Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
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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

6 authors.

Miyassa Meriem AciLRGB, École Nationale Supérieure Agronomique (ENSA : ES1603), Avenue Pasteur, Hassan Badi, 16200, Algiers, El Harrach, Algeria.
Antonio LupiniDipartimento AGRARIA, Università Mediterranea di Reggio Calabria, Località Feo di Vito snc, 89121, Reggio Calabria, Italy.
Antonio MauceriDipartimento AGRARIA, Università Mediterranea di Reggio Calabria, Località Feo di Vito snc, 89121, Reggio Calabria, Italy.
Abdelkader MorsliLRGB, École Nationale Supérieure Agronomique (ENSA : ES1603), Avenue Pasteur, Hassan Badi, 16200, Algiers, El Harrach, Algeria.
Lakhdar KhelifiLRGB, École Nationale Supérieure Agronomique (ENSA : ES1603), Avenue Pasteur, Hassan Badi, 16200, Algiers, El Harrach, Algeria. lakhdar.khelifi@edu-ensa.dz.
Francesco SunseriDipartimento AGRARIA, Università Mediterranea di Reggio Calabria, Località Feo di Vito snc, 89121, Reggio Calabria, Italy. francesco.sunseri@unirc.it.ORCID 0000-0001-5201-5413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability of maize populations/landraces to tolerate drastically extreme environments over the past four centuries in Algeria leads to characterize these genetic resources for germplasm management as well as the identification of the best landraces useful for genetic improvement. Thus, the aim of the present work was a fingerprinting of an Algerian maize collection (47 landraces) from Saharan oasis by using 24 agro-morphological traits and18 Simple Sequence Repeats to evaluate genetic diversity and population structure.

resultsPhenotypic traits showed large significant variation in which earliness, plant size, ear and kernel features and crop yield appeared the most discriminant traits among landraces by using principal component analysis (PCA). One hundred ninety-seven different alleles were detected with a high mean number of allele per locus (10.9). The selected SSR were highly informative with PIC values > 0.65 as well as an overall genetic diversity (0.47) highlighting a broad genetic variability in the analyzed landraces. Genetic structure analysis revealed a high genetic differentiation among the 47 maize landraces with an overall Fst value (0.33). Cluster analysis for morphological traits as well as for SSR markers grouped the 47 Algerian populations regardless their geographic origin.

conclusionsMaize from Algerian desert harbors a wide genetic diversity offering a source of novel/unique alleles useful for maize breeding programs to face the ongoing and future major challenge, the climate changes.

Indexed as

Africa, NorthernAlgeriaGenetic VariationMicrosatellite RepeatsPhenotypePhylogenyPlant BreedingPopulationZea maysGenetic diversityGenetic resourcesLandracesPhenotypic variationSSR markersZea mays L.

Identifiers

PMID30068292
PMCPMC6090932

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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.