Evidence map›Paper›PMID 39843541›Full record

ArticleScientific reports2025

Molecular diversity and genetic potential of new maize inbred lines across varying sowing conditions in arid environment.

Ahmed A Galal, Fatmah A Safhi, Nora M Al Aboud, Maha Aljabri, Dmitry E Kucher, Mohamed M Kamara, Mohamed M El-Mogy, Omar M Ibrahim, Diaa Abd El-Moneim, Abdallah A Hassanin and 3 more

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Ahmed A GalalDepartment of Agronomy, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh, 33516, Egypt.
Fatmah A SafhiDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Nora M Al AboudDepartment of Biology, Faculty of Science, Umm Al-Qura University, 21955, Makkah, Saudi Arabia.
Maha AljabriDepartment of Biology, Faculty of Science, Umm Al-Qura University, 21955, Makkah, Saudi Arabia.
Dmitry E KucherDepartment of Environmental Management, Institute of Environmental Engineering, RUDN University, 6 Miklukho-Maklaya St, 117198, Moscow, Russian Federation. kucher_de@pfur.ru.
Mohamed M KamaraDepartment of Agronomy, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh, 33516, Egypt.
Mohamed M El-MogyDepartment of Arid Land Agriculture, College of Agricultural and Food Science, King Faisal University, Al-Ahsa, Saudi Arabia.
Omar M IbrahimDepartment of Plant production, Arid Lands Cultivation Research Institute (ALCRI), City of Scientific Research and Technological Applications (SRTA-City), New Borg El-Arab City, Alexandria, 21934, Egypt.
Diaa Abd El-MoneimDepartment of Plant Production (Genetic Branch), Faculty of Environmental Agricultural Sciences, Arish University, El-Arish, 45511, Egypt.
Abdallah A HassaninGenetics Department, Faculty of Agriculture, Zagazig University, Zagazig, 44511, Egypt.
Mohamed El-SodaDepartment of Genetics, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt.
Elsayed MansourDepartment of Crop Science, Faculty of Agriculture, Zagazig University, Zagazig, 44519, Egypt. sayed_mansour_84@yahoo.es.
Abdelraouf M AliDepartment of Environmental Management, Institute of Environmental Engineering, RUDN University, 6 Miklukho-Maklaya St, 117198, Moscow, Russian Federation. raouf.shoker@narss.sci.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing high-yielding and resilient maize hybrids is essential to ensure its sustainable production with the ongoing challenges of considerable shifts in global climate. This study aimed to explore genetic diversity among exotic and local maize inbred lines, evaluate their combining ability, understand the genetic mechanisms influencing ear characteristics and grain yield, and identify superior hybrids suited for timely and late sowing conditions. Seven local and exotic maize inbred lines were genotyped using SSR (Simple Sequence Repeat) markers to assess their genetic diversity. These diverse lines were utilized to develop 21 F1 hybrids using a diallel mating design. These hybrids, alongside a high-yielding commercial check (SC-10), were evaluated under field conditions across two growing seasons under timely and late sowing conditions. The results showed that sowing date, assessed hybrids, and their interaction significantly influenced all measured agronomic traits. Notably, late sowing reduced plant height, ear characteristics, and, ultimately, grain yield. Several hybrids, particularly L101 × L103, L101 × L105, L104 × L105, and L104 × L107 under timely sowing, and L101 × L105 and L104 × L107 under late sowing, surpassed the agronomic performance of check commercial hybrid. Inbred lines L101 and L103 emerged as superior combiners for ear traits and yield, while line L106 showed promise for breeding shorter-stature plants. Hybrid combinations L101 × L105, L104 × L107, and L106 × L107 were identified as specific good combiners for grain yield and related traits under both sowing conditions, indicating their potential for commercial development. Strong positive associations were observed between grain yield and certain agronomic traits highlighting their utility for indirect selection in early breeding generations.

Indexed as

Genetic VariationZea maysDesert ClimateEdible GrainGenotypeHybridization, GeneticInbreedingMicrosatellite RepeatsPhenotypePlant BreedingClimate adaptabilityCombining abilityDiallel mating designHybrid yield performancePlant breeding strategiesSSR markers

Identifiers

PMID39843541
PMCPMC11754663

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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.