ArticleScientific reports2024
Genetic improvement of Egyptian cotton (Gossypium barbadense L.) for high yield and fiber quality properties under semi arid conditions.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed.
- Drought stress reshapes the genetic architecture of fiber quality and developmental traits in Egyptian cotton (Gossypium barbadense L.): a line × tester analysis under contrasting irrigation regimes.Scientific reports · 2026Article
- Cellulose-based nanomaterials: innovations in wound healing and regenerative medicine.Protoplasma · 2026Review
- Genotype × environment interactions for potato yield and quality traits: Identification of ideotypes adapted in different ecological regions of Northwest China.BMC plant biology · 2025Article
- Revitalizing maize growth and yield in water-limited environments through silicon and zinc foliar applications.Heliyon · 2024Article
- Multi-environment QTL mapping identifies major genetic loci influencing soybean main stem node architecture.PeerJ · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Between 2016 and 2018, the Agriculture Research Center's Sakha Agriculture Research Station conducted two rounds of pedigree selection on a segregating population of cotton (Gossypium barbadense L.) using the F
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Registered trials
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.