Evidence map›Paper›PMID 39955405›Full record

ArticleScientific reports2025

Fertilizer types and nitrogen rates integrated strategy for achieving sustainable quinoa yield and dynamic soil nutrient-water distribution at high altitude.

Xiaojing Sun, Chenglei Deng, Jiaxing Gao, Jingying Lu, Yan Zheng, Zeyun Guo, Yadi Sun, Chuangyun Wang, Yan Deng

Abstract read
In one paragraph

Article in Scientific reports, 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. 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

9 authors.

Xiaojing SunCollege of Agriculture, Shanxi Agricultural University, Taiyuan, 030031, China.
Chenglei DengCollege of Agriculture, Shanxi Agricultural University, Taiyuan, 030031, China.
Jiaxing GaoCollege of Agriculture, Shanxi Agricultural University, Taiyuan, 030031, China.
Jingying LuCollege of Agriculture, Shanxi Agricultural University, Taiyuan, 030031, China.
Yan ZhengCollege of Agriculture, Shanxi Agricultural University, Taiyuan, 030031, China.
Zeyun GuoCollege of Agriculture, Shanxi Agricultural University, Taiyuan, 030031, China.
Yadi SunCollege of Agriculture, Shanxi Agricultural University, Taiyuan, 030031, China.
Chuangyun WangCollege of Agriculture, Shanxi Agricultural University, Taiyuan, 030031, China.
Yan DengCollege of Agriculture, Shanxi Agricultural University, Taiyuan, 030031, China. yandeng@sxau.edu.cn.

Funding

The 2023 Annual Graduate Education Innovation Program (Graduate Practice Innovation Project) Project 2023SJ105The central government guides the local science and technology development fund project YDZJSX2024D042
6 · The paper itself

Abstract

Quinoa (Chenopodium quinoa Willd.) is a crop particularly adapted to high-altitude environments characterized by significant variability in climate and soil conditions Fertilization is essential for providing nutrients and influencing soil nutrient cycling and hydrological dynamics. This study aimed to optimize fertilizer type and nitrogen (N) application rates to improve soil nutrient availability, moisture retention, and quinoa yield. We examined three fertilizer types: compound fertilizer (NPK), bio-microbial fertilizer (BM), and slow-release fertilizer (SRF), with nitrogen application rates of 90, 120, and 150 kg ha

Indexed as

Chenopodium quinoaFertilizersNitrogenSoilWaterAltitudeNutrientsPhosphorusPotassiumFertilizersNitrogenNutrientsPhosphorusPotassiumSoilWaterBio-microbial fertilizerQuinoaQuinoa yieldSlow-release fertilizerSoil enzyme activitySoil nutrientsWater use efficiency

Identifiers

PMID39955405
PMCPMC11829954

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.