Evidence map›Paper›PMID 38498541›Full record

ArticlePlants (Basel, Switzerland)2024

Adaptation Strategies of Seedling Root Response to Nitrogen and Phosphorus Addition.

Xing Jin, Jing Zhu, Xin Wei, Qianru Xiao, Jingyu Xiao, Lan Jiang, Daowei Xu, Caixia Shen, Jinfu Liu, Zhongsheng He

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
6.0field-weighted citation impact, top 5% of its field
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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 2 institutions in 1 country.

Xing JinCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Jing ZhuCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Xin WeiCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Qianru XiaoCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Jingyu XiaoCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Lan JiangCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Daowei XuCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Caixia ShenSchool of Economics and Management, Sanming University, Sanming 365000, China.
Jinfu LiuCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Zhongsheng HeCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0002-7031-7340
Education Department of Fujian Province · CNSanming University · CN

Funding

Fujian Province Forestry Science and Technology Project of China 2022FKJ21National Natural Science Foundation of China 31770678National Natural Science Foundation of China (NSFC) 31700550
6 · The paper itself

Abstract

The escalation of global nitrogen deposition levels has heightened the inhibitory impact of phosphorus limitation on plant growth in subtropical forests. Plant roots area particularly sensitive tissue to nitrogen and phosphorus elements. Changes in the morphological characteristics of plant roots signify alterations in adaptive strategies. However, our understanding of resource-use strategies of roots in this environment remains limited. In this study, we conducted a 10-month experiment at the

Indexed as

Castanopsis kawakamiinitrogen additionphosphorus additionresource-use strategyroot traits

Identifiers

PMID38498541
PMCPMC10892864
OpenAlexW4391836886

What OpenQuestion holds

Textmetadata
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.