Evidence map›Paper›PMID 37396646›Full record

ArticleFrontiers in plant science2023

Crop coefficient determination and evapotranspiration estimation of watermelon under water deficit in a cold and arid environment.

Hengjia Zhang, Zeyi Wang, Shouchao Yu, Anguo Teng, Changlong Zhang, Lian Lei, Yuchun Ba, Xietian Chen

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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.

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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

8 authors.

Hengjia ZhangCollege of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, China.
Zeyi WangCollege of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, China.
Shouchao YuCollege of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, China.
Anguo TengYimin Irrigation Experimental Station, Hongshui River Management Office, Zhangye, China.
Changlong ZhangYimin Irrigation Experimental Station, Hongshui River Management Office, Zhangye, China.
Lian LeiYimin Irrigation Experimental Station, Hongshui River Management Office, Zhangye, China.
Yuchun BaYimin Irrigation Experimental Station, Hongshui River Management Office, Zhangye, China.
Xietian ChenCollege of Water Conservancy and Hydropower Engineering, Gansu Agricultural University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the evapotranspiration and crop coefficient of oasis watermelon under water deficit (WD), mild (60%-70% field capacity, FC)and moderate (50%-60% FC) WD levels were set up at the various growth stages of watermelon, including seedling stage (SS), vine stage (VS), flowering and fruiting stage (FS), expansion stage (ES), and maturity stage (MS), with adequate water supply (70%-80% FC) during the growing season as a control. A two-year (2020-2021) field trial was carried out in the Hexi oasis area of China to explore the effect of WD on watermelon evapotranspiration characteristics and crop coefficient under sub-membrane drip irrigation. The results indicated that the daily reference crop evapotranspiration showed a sawtooth fluctuation which was extremely significantly and positively correlated with temperature, sunshine hours, and wind speed. The water consumption during the entire growing season of watermelon varied from 281-323 mm (2020) and 290-334 mm (2021), among which the phasic evapotranspiration valued the maximum during ES, accounting for 37.85% (2020) and 38.94% (2021) in total, followed in the order of VS, SS, MS, and FS. The evapotranspiration intensity of watermelon increased rapidly from SS to VS, reaching the maximum with 5.82 mm·d

Indexed as

leaf area indexmeteorogical factorsreference crop evapotranspirationwater consumption characteristicswatermelonwater stress

Identifiers

PMID37396646
PMCPMC10312094

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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.