Evidence map›Paper›PMID 42452293›Full record

ArticlePlants (Basel, Switzerland)2026

Effects of Biochar Addition and Nitrogen Application Rate on Soil Properties and Agronomic Nitrogen Use Efficiency in Artificial Grasslands.

Wenhao Wang, Asitaiken Julihaiti, Helong Yang, Xin Wang, Kejian Lin, Zhi Xing, Lingqi Kong

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 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

7 authors.

Wenhao WangCollege of Grassland Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0007-0691-6887
Asitaiken JulihaitiCollege of Grassland Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0000-2779-9906
Helong YangCollege of Grassland Science, Xinjiang Agricultural University, Urumqi 830052, China.
Xin WangCollege of Grassland Science, Xinjiang Agricultural University, Urumqi 830052, China.
Kejian LinInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
Zhi XingInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
Lingqi KongInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.

Funding

Institute of Grassland Research 2225ZZQRCXMXinjiang Agricultural University 2023D04083Xinjiang Agricultural University 2525HXKT1
6 · The paper itself

Abstract

In modern livestock production, a reliable supply of high-quality forage is essential for sustaining animal productivity and product quality. Although nitrogen (N) fertilization can promote forage growth, excessive N inputs often result in low agronomic nitrogen use efficiency (NAUE) and increased environmental risks. Biochar, owing to its porous structure, high specific surface area, and physicochemical stability, can improve soil physical properties, enhance water and nutrient retention, and regulate soil N availability. However, the mechanisms by which biochar combined with reduced N rate fertilization affects NAUE in artificial grasslands remain insufficiently quantified. A two-year field experiment was conducted at the Grassland Science Experimental Station of Xinjiang Agricultural University on the northern slope of the Tianshan Mountains, Xinjiang, China. Eight treatments were established using a factorial design with two biochar rates (0 and 20 t·ha

Indexed as

agronomic nitrogen use efficiencyartificial grasslandavailable nitrogenbiocharhay yieldN rate reductionplant community diversitysoil moisturestructural equation modeling

Identifiers

PMID42452293
PMCPMC13363794

What OpenQuestion holds

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LicenceCC BY
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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.