Evidence map›Paper›PMID 39733060›Full record

ArticleScientific reports2024

Effects of water-fertiliser coupling on the photosynthesis and quality of Lycium barbarum based on predicted crop evapotranspiration (ET

Yunfeng Liang, Dongpu Feng, Zhaojun Sun, Ping Ye, Shengfan Liang, Taiyue Shi

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

3 citing papers in PubMed.

  1. Article
  2. Genome-Wide Identification and Functional Characterization of theInternational journal of molecular sciences · 2025
    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

6 authors.

Yunfeng LiangSchool of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, Ningxia, 750021, China.
Dongpu FengSchool of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, Ningxia, 750021, China.
Zhaojun SunSchool of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, Ningxia, 750021, China. zhaojunsun_nx@163.com.
Ping YePengyang County Agricultural Comprehensive Development Service Center, Pengyang, Ningxia, 756500, China.
Shengfan LiangPengyang County Agricultural Comprehensive Development Service Center, Pengyang, Ningxia, 756500, China.
Taiyue ShiSchool of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, Ningxia, 750021, China.

Funding

The Structural Dependence of CRAZED ImagingR21EB004040 · NIBIB · VANDERBILT UNIVERSITY · PI GOCHBERG, DANIEL F · 2004 to 2005
$412k
NIBIB NIH HHS R21 EB004040the First class Discipline Construction Project of Ningxia No. NXYLXK2021A03the National key research & development program of China 2021YFD1900600the National Natural Science Foundation of China No. 52369005the Natural Science Foundation of Ningxia No. 2020AAC03039the Ningxia Key Research and Development Program (Special Talents) 2019BEB04040
6 · The paper itself

Abstract

Lycium barbarum is an important economic crop in the arid region of Northwest China, and the regulation of irrigation and fertilisation is an important way to improve the quality and yield of Lycium barbarum. To explore the effects of water-fertiliser coupling on photosynthesis, quality and yield of Lycium barbarum under irrigation methods based on predicted crop evapotranspiration (ET

Indexed as

Agricultural IrrigationFertilizersLyciumPhotosynthesisWaterChinaChlorophyllCrops, AgriculturalFruitPlant LeavesPlant TranspirationChlorophyllFertilizersWaterLycium barbarumPhotosynthesisPredicted crop water requirementsQualityWater-fertiliser coupling

Identifiers

PMID39733060
PMCPMC11682182

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.