Evidence map›Paper›PMID 37794936›Full record

ArticleFrontiers in plant science2023

Long-term nitrogen fertilizer management for enhancing use efficiency and sustainable cotton (

Yuanqi Ma, Hongchun Sun, Yurong Yang, Zhao Li, Ping Li, Yuetong Qiao, Yongjiang Zhang, Ke Zhang, Zhiying Bai, Anchang Li and 2 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Speed breeding in upland cotton (Frontiers in plant science · 2026
    Review
  4. Article
  5. Article
  6. 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

12 authors.

Yuanqi MaState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.
Hongchun SunState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.
Yurong YangState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.
Zhao LiState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.
Ping LiHandan Academy of Agricultural Sciences, Handan, China.
Yuetong QiaoState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.
Yongjiang ZhangState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.
Ke ZhangState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.
Zhiying BaiState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.
Anchang LiState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.
Cundong LiState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.
Liantao LiuState Key Laboratory of North China Crop Improvement and Regulation/Key Laboratory of North China Water-saving Agriculture, Ministry of Agriculture and Rural Affairs/Key Laboratory of Crop Growth Regulation of Hebei Province/College of Agronomy, Hebei Agricultural University, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimal management of nitrogen fertilizer profoundly impacts sustainable development by influencing nitrogen use efficiency (NUE) and seed cotton yield. However, the effect of long-term gradient nitrogen application on the sandy loam soil is unclear. Therefore, we conducted an 8-year field study (2014-2021) using six nitrogen levels: 0 kg/hm

Indexed as

cottonlong-term nitrogen applicationnitrogen use efficiencyyellow river regionyield

Identifiers

PMID37794936
PMCPMC10547564

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.