Evidence map›Paper›PMID 39109059›Full record

ReviewFrontiers in plant science2024

Optimizing the quality of horticultural crop: insights into pre-harvest practices in controlled environment agriculture.

Xinyi Zhao, Jie Peng, Li Zhang, Xiao Yang, Yujie Qiu, Chengcheng Cai, Jiangtao Hu, Tao Huang, Ying Liang, Zonggeng Li and 3 more

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Review
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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

13 authors.

Xinyi Zhao *College of Agronomy, Sichuan Agricultural University, Chengdu, China.
Jie Peng *Institute of Urban Agriculture, Chinese Academy of Agriculture Sciences, Chengdu, China.
Li ZhangInstitute of Urban Agriculture, Chinese Academy of Agriculture Sciences, Chengdu, China.
Xiao YangInstitute of Urban Agriculture, Chinese Academy of Agriculture Sciences, Chengdu, China.
Yujie QiuCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Chengcheng CaiCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Jiangtao HuInstitute of Urban Agriculture, Chinese Academy of Agriculture Sciences, Chengdu, China.
Tao HuangInstitute of Urban Agriculture, Chinese Academy of Agriculture Sciences, Chengdu, China.
Ying LiangVegetable Germplasm Innovation and Variety Improvement Key Laboratory of Sichuan Province, Horticulture Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, China.
Zonggeng LiInstitute of Urban Agriculture, Chinese Academy of Agriculture Sciences, Chengdu, China.
Mengliang TianCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Fan LiuCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Zheng WangInstitute of Urban Agriculture, Chinese Academy of Agriculture Sciences, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In modern agriculture, Controlled environment agriculture (CEA) stands out as a contemporary production mode that leverages precise control over environmental conditions such as nutrient, temperature, light, and other factors to achieve efficient and high-quality agricultural production. Numerous studies have demonstrated the efficacy of manipulating these environmental factors in the short period before harvest to enhance crop yield and quality in CEA. This comprehensive review aims to provide insight into various pre-harvest practices employed in CEA, including nutrient deprivation, nutrient supply, manipulation of the light environment, and the application of exogenous hormones, with the objective of improving yield and quality in horticultural crops. Additionally, we propose an intelligent pre-harvest management system to cultivate high-quality horticultural crops. This system integrates sensor technology, data analysis, and intelligent control, enabling the customization of specific pre-harvest strategies based on producers' requirements. The envisioned pre-harvest intelligent system holds the potential to enhance crop quality, increase yield, reduce resource wastage, and offer innovative ideas and technical support for the sustainable development of CEA.

Indexed as

controlled environment agriculturehorticultural croplight regulationnutrient supplyplant-growth regulatorpre-harvest practices

Identifiers

PMID39109059
PMCPMC11300219

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.