Evidence map›Paper›PMID 35574077›Full record

ArticleFrontiers in plant science2022

Optimizing Shade Cultivation Method and Irrigation Amount to Improve Photosynthetic Characteristics, Bean Yield, and Quality of Coffee in a Subtropical Monsoon Climate.

Kun Hao, Xiaogang Liu, Xiukang Wang, Liangjun Fei, Lihua Liu, Feilong Jie, Yilin Li, Qiliang Yang, Yunhui Shan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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.

Kun HaoFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, China.
Xiaogang LiuFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, China.
Xiukang WangCollege of Life Science, Yan'an University, Yan'an, China.
Liangjun FeiState Key Laboratory of Eco-Hydraulic in Northwest Arid Region, Xi'an University of Technology, Xi'an, China.
Lihua LiuState Key Laboratory of Eco-Hydraulic in Northwest Arid Region, Xi'an University of Technology, Xi'an, China.
Feilong JieState Key Laboratory of Eco-Hydraulic in Northwest Arid Region, Xi'an University of Technology, Xi'an, China.
Yilin LiFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, China.
Qiliang YangFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, China.
Yunhui ShanDehong HeiRou Coffee Co., Ltd., Dehong, China.
Xi'an University of Technology · CNKunming University of Science and Technology · CNYan'an University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reasonable water and light management technology can improve economic benefits, coffee yield, and quality. We used cluster analysis and principal component analysis to evaluate and optimize the water and light management technology with high coffee yield, quality, and economic benefits in a subtropical monsoon climate region of China. The experiment was arranged in a randomized complete block design with two factors (3 irrigation levels × 4 shade cultivation treatments) replicated four times during 2016-2017. The irrigation levels consisted of full irrigation (FI) and two deficit irrigations (DI

Indexed as

coffeedeficit irrigationqualityshade cultivationyield

Identifiers

PMID35574077
PMCPMC9100806
OpenAlexW4225130981

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.