Evidence map›Paper›PMID 35794199›Full record

ArticleScientific reports2022

Effects of strip cropping with reducing row spacing and super absorbent polymer on yield and water productivity of oat (Avena sativa L.) under drip irrigation in Inner Mongolia, China.

Lu Tian, Jing-Hui Liu, Sheng Zhang, Bao-Ping Zhao, Jun-Zhen Mi, Ying-Hao Li, Feng-Wu Wang

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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

7 authors.

Lu TianCollege of Agronomy, Inner Mongolia Agricultural University, No.275, Xin Jian East Street, Hohhot, 010019, China.
Jing-Hui LiuCollege of Agronomy, Inner Mongolia Agricultural University, No.275, Xin Jian East Street, Hohhot, 010019, China. cauljh@aliyun.com.
Sheng ZhangCollege of Agronomy, Inner Mongolia Agricultural University, No.275, Xin Jian East Street, Hohhot, 010019, China. nmndzs@126.com.
Bao-Ping ZhaoCollege of Agronomy, Inner Mongolia Agricultural University, No.275, Xin Jian East Street, Hohhot, 010019, China.
Jun-Zhen MiCollege of Agronomy, Inner Mongolia Agricultural University, No.275, Xin Jian East Street, Hohhot, 010019, China.
Ying-Hao LiCollege of Agronomy, Inner Mongolia Agricultural University, No.275, Xin Jian East Street, Hohhot, 010019, China.
Feng-Wu WangAgriculture and Forestry Sciences of Ulanqab, Jining, 012000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the serious shortage of water resources and the development of water-saving agriculture, the application of drip irrigation has been paid more and more attention. But there was lack of oat planting methods suitable for drip irrigation, currently. In order to establish an efficient oat planting method for drip irrigation, a study was conducted at Agriculture and Forestry Sciences of Ulanqab, Inner Mongolia during the season (2019-2020) to evaluate the effect of strip cropping with reducing row spacing and super absorbent polymer on the yield and water use efficiency of oat. To conduct the field trials, a split plot system in three replications was established. Three planting patterns were in the main plots, including conventional cropping with 20 cm equal row spacing (PA), strip cropping with the 15 cm row spacing (PB) and strip cropping with the 10 cm row spacing (PC), and two super absorbent polymer levels were in the subplots, including 22.5 kg ha

Indexed as

AvenaWaterAgricultureEdible GrainPolymersPolymersWater

Identifiers

PMID35794199
PMCPMC9259646

What OpenQuestion holds

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LicenceCC BY
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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.