Evidence map›Paper›PMID 40538873›Full record

ArticleFrontiers in plant science2025

A multi-level fuzzy comprehensive evaluation model to optimize biochar application schemes for potato cultivation in North China.

Jiawei Guo, Hui Zhou, Liguo Jia, Yongqiang Wang, Mingshou Fan, Meirong Wang, Peng Liu, Zhihui Shang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Decision-making on water-nitrogen irrigation forFrontiers in plant science · 2026
    Article
  2. 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

8 authors.

Jiawei GuoCollege of Agronomy, Inner Mongolia Agricultural University, Hohhot, China.
Hui ZhouYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, Beijing, China.
Liguo JiaCollege of Agronomy, Inner Mongolia Agricultural University, Hohhot, China.
Yongqiang WangCollege of Agronomy, Inner Mongolia Agricultural University, Hohhot, China.
Mingshou FanCollege of Agronomy, Inner Mongolia Agricultural University, Hohhot, China.
Meirong WangCollege of Agronomy, Inner Mongolia Agricultural University, Hohhot, China.
Peng LiuCollege of Agronomy, Inner Mongolia Agricultural University, Hohhot, China.
Zhihui ShangCollege of Agronomy, Inner Mongolia Agricultural University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The North China region is a major potato production area, but water scarcity and poor soil fertility limit potato growth. Biochar is a promising approach to improve soil quality and enhance crop productivity. However, the effects of different biochar pyrolysis temperatures and application rates on potato growth, economic benefits, quality, water and fertilizer use efficiency, and soil nutrient retention remain unclear. Methods: A field experiment was conducted during 2023-2024 to evaluate the effects of biochar pyrolysis temperatures (T1: 300°C, T2: 500°C, T3: 700°C) and application rates (C1: 10 t ha Results: Potato growth indicators, water and fertilizer use efficiency, starch, and vitamin C content exhibited a parabolic trend, with the C2T2 treatment performing best. Net income was highest for the CK treatment in 2023 and for C2T2 in 2024. Reducing sugar content was lowest in C2T2; soil nitrate nitrogen accumulation was lowest in C3T2; soil available phosphorus was lowest in C1T3; and soil available potassium was lowest in CK. PFCE analysis indicated that C2T2 achieved multi-objective optimization for yield, quality, efficiency, and environmental sustainability. Discussion: Based on PFCE results and practical production considerations, applying biochar at 400-500°C pyrolysis temperature and 18-20 t ha

Indexed as

biocharcomprehensive modeloptimizationpotatopyrolysis temperaturesoil nutrient residues

Identifiers

PMID40538873
PMCPMC12178125

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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.