CoChat
Sign Up
Cited by 135Soil Carbon and Nitrogen DynamicsAgricultural Science and FertilizationSoil Management and Crop Yield

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

Biochar application with reduced chemical fertilizers improves soil pore structure and rice productivity

An, Ning, Zhang, Lei, Liu, Yaxian, Shen, Si, Li, Na, Wu, Zhengchao, Yang, Jinfeng, Han, Wei, Han, Xiaori·2022·Chemosphere
DOI 10.1016/j.chemosphere.2022.134304
Open this paper in CoChat — free account

Abstract

Biochar is an efficient amendment to improve soil quality and crop productivity, but the potential of biochar as a substitute for chemical fertilizers is still unknown. Here we conducted a 6-year field experiment to investigate how partial substitution of biochar to NPK fertilizers affect soil quality and rice yield in the northeast of China. The experiment included three treatments: Control (B0: NPK fertilizers only: 240 kg N ha -1 , 52 kg P ha -1 , and 100 kg K ha -1 ); Low-input biochar (B1.5: 95% N, 89% P, 75% K + 1.5 t biochar ha -1 year -1 ); and High-input biochar (B3.0: 90% N, 78% P, 50% K + 3.0 t biochar ha -1 year -1 ). The amounts of NPK application in the biochar treatments were determined according to an equivalent method. We evaluated the soil pore structure characteristics via a CT technology, and investigated soil nutrients, plant biomass, root growth, and grain yields. The results showed that, after the 6-year application, the soil pore structure and rice productivity of B1.5 were significantly improved in compared to those of B0 and B3.0. B1.5 had similar soil available NPK contents, but 6.6% higher rice yield as compared to B0, because of increased root length density (33.2%) and aboveground biomass (10.2%). B1.5 also increased soil macroporosity (>100 μm) (141.4%), fraction dimension (8.4%), and pore connectivity (16.6%) in compared with those of B0. However, B3.0 showed the lowest rice yield due to lower soil available N content (19.2%), macroporosity (28…

Overview

Integrity signals

Registry

Crossref · 10.1016/j.chemosphere.2022.134304

Cites

72 of 72 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 72 references

Cited by

Sorted by citations

Items 101–135 of 135

Related

See all

Metadata

Authors
An, N., Zhang, L., Liu, Y., Shen, S., Li, N., Wu, Z., Yang, J., Han, W., & Han, X.
Affiliations
Shenyang Agricultural University (CN)
Corresponding author
  • Han, Wei
  • Han, Xiaori
ORCID
Venue
Chemosphere
Publisher
Elsevier BV
Published
2022-07
Volume
298
Pages
134304
ISSN
0045-6535 (ISSN-L)
DOI
10.1016/j.chemosphere.2022.134304
OpenAlex
W4221114674
Cited by
135
References
72
Citations by year
2026: 25 · 2025: 38 · 2024: 30 · 2023: 30 · 2022: 12
FWCI
15.44
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Chemosphere (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Natural Science Foundation of China (41501235, 41807014)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Agricultural Science and Fertilization
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Management and Crop Yield
Keywords
biochar, rice yield, soil pore structure, macroporosity, pore connectivity, root length density, soil quality, chemical fertilizer reduction, soil nitrogen availability, soil nutrients, aboveground biomass
MeSH terms
Agriculture, Charcoal, Fertilizers, Oryza, Soil

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review