Evidence map›Paper›PMID 42787275›Full record

ArticleFrontiers in plant science2026

Exploring slow-release plasma nitrogen nano-fertilizer for improved maize production and nutrient use efficiency.

Stewart Kyebogola, Richard Onwonga, Stella Kabiri, Onesimus Semalulu, Swidiq Mugerwa, Russell Shelley Yost, Samuel Ikendi, Dennis Beesigamukama, Julius Opio, Godfrey Sseruwu

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Stewart KyebogolaDepartment of Land Resource Management and Agricultural Technology, Faculty of Agriculture, University of Nairobi, Nairobi, Kenya.
Richard OnwongaDepartment of Land Resource Management and Agricultural Technology, Faculty of Agriculture, University of Nairobi, Nairobi, Kenya.
Stella KabiriStrategic Partnership Office, Sasakawa Africa Association, Addis Ababa, Ethiopia.
Onesimus SemaluluNational Agricultural Research Organization, Kampala, Uganda.
Swidiq MugerwaNational Agricultural Research Organization, Kampala, Uganda.
Russell Shelley YostDepartment of Tropical Plant and Soil Science, University of Hawai'i at Mānoa, Honolulu, HI, United States.
Samuel IkendiUniversity of California Agriculture and Natural Resources, University of California Merced, Lake Road, Merced, Merced, California, United States.
Dennis BeesigamukamaInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Julius OpioNational Agricultural Research Organization, Kampala, Uganda.
Godfrey SseruwuNational Agricultural Research Organization, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of nitrogen (N) fertilizer in maize production is constrained by scarcity, low use efficiency, and high costs. Plasma technology presents a more environmentally friendly nitrogen source (PN). When incorporated into nanocellulose composites to control fertilizer release (NPN), they improve N supply and mitigate environmental risks, thereby optimizing benefits. However, the productivity of NPN relative to urea and its nanoform (NU) remains unexplored. Screenhouse and field experiments were conducted twice on maize using five fertilizer treatments: control, urea, PN, NU, and NPN. All treatments were applied once at 66 kg N ha

Indexed as

climate changefertilizermaizenanonitrogenplasmaslow-releaseuse efficiency

Identifiers

PMID42787275
PMCPMC13600992

What OpenQuestion holds

Textmetadata
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.