Evidence map›Paper›PMID 39346037›Full record

ArticlePeerJ2024

Molecular and agro-morphological diversity assessment of some bread wheat genotypes and their crosses for drought tolerance.

Mohamed A Ezzat, Nahaa M Alotaibi, Said S Soliman, Mahasin Sultan, Mohamed M Kamara, Diaa Abd El-Moneim, Wessam F Felemban, Nora M Al Aboud, Maha Aljabri, Imen Ben Abdelmalek and 2 more

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

12 authors.

Mohamed A EzzatGenetics Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.
Nahaa M AlotaibiDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Said S SolimanGenetics Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.
Mahasin SultanGenetics Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.
Mohamed M KamaraDepartment of Agronomy, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Diaa Abd El-MoneimDepartment of Plant Production, (Genetic Branch), Faculty of Environmental and Agricultural Sciences, Arish University, El-Arish, Egypt.
Wessam F FelembanBiological Department, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Nora M Al AboudDepartment of Biology, Faculty of Science, Umm Al-Qura University, Makkah, Saudi Arabia.
Maha AljabriDepartment of Biology, Faculty of Science, Umm Al-Qura University, Makkah, Saudi Arabia.
Imen Ben AbdelmalekDepartment of Biology, College of Science, Qassim University, Saudi Arabia.
Elsayed MansourDepartment of Crop Science, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.
Abdallah A HassaninGenetics Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat, a staple cereal crop, faces challenges due to climate change and increasing global population. Maintaining genetic diversity is vital for developing drought-tolerant cultivars. This study evaluated the genetic diversity and drought response of five wheat cultivars and their corresponding F1 hybrids under well-watered and drought stress conditions. Molecular profiling using ISSR and SCoT-PCR markers revealed 28 polymorphic loci out of 76 amplified. A statistically significant impact of parental genotypes and their crosses was observed on all investigated agro-morphological traits, including root length, root weight, shoot length, shoot weight, proline content, spikelet number/spike, spike length, grain number/spike, and grain weight/spike. The parental genotypes P1 and P3 had desirable positive and significant general combining ability (GCA) effects for shoot fresh weight, shoot dry weight, root fresh weight, root dry weight, shoot length, and root length under well-watered conditions, while P3 and P5 recorded the highest GCA estimates under drought stress. P3 and P4 showed the highest GCA effects for number of spikelets per spike, the number of grains per spike, and grain weight per spike under normal conditions. P5 presented the maximum GCA effects and proved to be the best combiner under drought stress conditions. The cross P1× P3 showed the highest positive specific combining ability (SCA) effects for shoot fresh weight under normal conditions, while P2×P3 excelled under water deficit conditions. P1× P2, P1 × P3, and P4× P5 were most effective for shoot dry weight under normal conditions, whereas P1×P3 and P3×P5 showed significant SCA effects under drought stress. Positive SCA effects for root fresh weight and shoot length were observed for P3×P5 under stressed conditions. Additionally, P4×P5 consistently recorded the highest SCA for root length in both environments, and P3×P5 excelled in the number of spikelets, grains per spike, and grain weight per spike under drought conditions. The evaluated genotypes were categorized based on their agronomic performance under drought stress into distinct groups ranging from drought-tolerant genotypes (group A) to drought-sensitive ones (group C). The genotypes P5, P2×P5, and P3×P5 were identified as promising genotypes to improve agronomic performance under water deficit conditions. The results demonstrated genetic variations for drought tolerance and highlighted the potential of ISSR and SCoT markers in wheat breeding programs for developing drought-tolerant cultivars.

Indexed as

DroughtsGenotypeTriticumDrought ResistanceGenetic VariationStress, PhysiologicalAbiotic stressCereal cropsDroughtISSR markersMolecular diversitySCoT markers

Identifiers

PMID39346037
PMCPMC11439381

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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.