Evidence map›Paper›PMID 37360729›Full record

ArticleFrontiers in plant science2023

Suitable fertilization can improve maize growth and nutrient utilization in ridge-furrow rainfall harvesting cropland in semiarid area.

Jiayi Wang, Gaoxiang Liu, Nan Cui, Enke Liu, Yan Zhang, Donghua Liu, Xiaolong Ren, Zhikuan Jia, Peng Zhang

Open access · goldAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Jiayi WangCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Gaoxiang LiuCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Nan CuiCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Enke LiuInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China.
Yan ZhangInstitute of Jiangxi Oil-tea Camellia, Jiujiang University, Jiujiang, Jiangxi, China.
Donghua LiuCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Xiaolong RenCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Zhikuan JiaCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Peng ZhangCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Northwest A&F University · CNInstitute of Environment and Sustainable Development in Agriculture · CNJiujiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ridge-furrow rainfall harvesting system (RFRH) improved the water shortages, and reasonable fertilization can promote nutrient uptake and utilization of crops, leading to better yield in semi-arid regions. This holds significant practical significance for improving fertilization strategies and reducing the application of chemical fertilizers in semi-arid areas. This field study was conducted to investigate the effects of different fertilization rates on maize growth, fertilizer use efficiency, and grain yield under the ridge-furrow rainfall harvesting system during 2013-2016 in semiarid region of China. Therefore, a four-year localization field experiment was conducted with four fertilizer treatments: RN (N 0 kg hm

Indexed as

fertilizer ratemaize yieldnutrient uptake and utilizationridge-furrow rainfall harvesting systemsemi-arid area

Identifiers

PMID37360729
PMCPMC10285301
OpenAlexW4379876112

What Socratic 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 Socratic graph.