Evidence map›Paper›PMID 42056232›Full record

ArticleScientific reports2026

Impact of long-term straw and manure incorporation on carbon sequestration and yield through alteration of aluminum and iron oxides in acidic red soil.

Mahmoud Abdelaziz, Dongchu Li, Lu Zhang, Nano Alemu Daba, Lisheng Liu, Md Ashraful Alam, Zhe Shen, Jiwen Li, Kiya Adare Tadesse, Imtiaz Ahmed and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 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

11 authors.

Mahmoud AbdelazizState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Dongchu LiState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Lu ZhangState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Nano Alemu DabaState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Lisheng LiuState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Md Ashraful AlamState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zhe ShenState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jiwen LiState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Kiya Adare TadesseState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Imtiaz AhmedState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Huimin ZhangState Key Laboratory of Efficient Utilization of Arid and Semiarid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. zhanghuimin@caas.cn.

Funding

China Agriculture Research System CARS-22-Z09, CARS-01-74the Jinggang Mountains Agricultural High-tech District Provincial Special Science and Technology 20222-051246the National Key R&D Program of China 2024YFD1900101the National Natural Science Foundation of China 42477364, 42507457, 42207398the Natural Science Foundation of Hunan Province 2023JJ30616
6 · The paper itself

Abstract

Soil acidification and carbon sequestration are central challenges for sustainable agriculture, particularly across China's extensive acidic red soil regions, which comprise 32.4% of the national soil area. This study evaluated the long-term effects of straw and manure incorporation on aluminum (Al) and iron (Fe) oxide fractions, soil organic carbon (SOC) sequestration, and crop yield in acidic red upland soil. A 33-year field experiment was conducted with four treatments: no fertilizer (CK), chemical fertilizer (NPK), NPK plus straw (NPKS), and NPK plus manure (NPKM). Soil samples were collected from three depths (0-10, 10-20, and 20-30 cm), and Al and Fe oxide fractions were quantified. Relationships among Al/Fe fractions, soil pH, and SOC were assessed using ANOVA, Pearson's correlation, and Redundancy Analysis (RDA). Compared with CK, NPKM increased reactive Al (Alo) by 43.84%, 42.94%, and 43.06% and reactive Fe (Feo) by 132.98%, 91.54%, and 55.75% at 0-10, 10-20, and 20-30 cm, respectively. The highest carbon sequestration rate (0.21 t ha

Indexed as

AluminumCarbon sequestrationIronManureStraw

Identifiers

PMID42056232
PMCPMC13319121

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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.