Evidence map›Paper›PMID 40131969›Full record

ArticlePloS one2025

CN metabolism and nitrogen use efficiency of rice with different nitrogen form and rate.

Minji Kim, Boyun Lee, Jwakyung Sung

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Minji KimDepartment of Crop Science, Chungbuk National University, Cheongju, South Korea.ORCID https://orcid.org/0009-0003-9962-8139
Boyun LeeDepartment of Crop Science, Chungbuk National University, Cheongju, South Korea.ORCID https://orcid.org/0009-0002-4995-4860
Jwakyung SungDepartment of Crop Science, Chungbuk National University, Cheongju, South Korea.ORCID https://orcid.org/0000-0002-0758-6644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrogen (N) is one of crucial mineral nutrients for rice cultivation, however excessive N application has resulted in lower utilization and thus occasionally attributes to environmental impacts. Simultaneously, rice production requires greater watering, exacerbating water scarcity concerns. This study explores strategies to enhance nitrogen use efficiency (NUE) in rice, focusing on the carbon-nitrogen (CN) metabolism under different nitrogen conditions. Two rice cultivars (Oryza sativa L. cv. Samgwang-SG, and NIL Milyang#360-ML) were subjected to different nitrogen forms (ammonium sulfate-AS, ammonium nitrate-AN) and application rates (45 kg ha⁻¹ and 90 kg ha⁻¹). The results demonstrated that SG exhibited increased N assimilation in both leaves and roots under lower N input, while ML primarily superior on grain development. ML showed higher carbohydrate accumulation in leaves, potentially contributing to enhanced grain yield under low N conditions. Moreover, ammonium-sulfate (AS) proved more effective in promoting NUE than ammonium-nitrate (AN), particularly at lower N input (45N). Principal component analysis confirmed that 45N treatments positively correlated with improved nitrogen uptake and utilization efficiency, with no significant yield reduction. These findings highlight the importance of optimizing nitrogen management to improve NUE while reducing environmental impacts in rice production. A further study is required to evaluate and validate the nitrogen use efficiency under different N form and dose with a field scale.

Indexed as

CarbonNitrogenOryzaAmmonium SulfateFertilizersNitratesPlant LeavesPlant Rootsammonium nitrateAmmonium SulfateCarbonFertilizersNitratesNitrogen

Identifiers

PMID40131969
PMCPMC11936271

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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.