Evidence map›Paper›PMID 42152563›Full record

ArticleJournal of Zhejiang University. Science. B2025

Optimized substrate selection for enhanced orchid growth based on high-throughput lysimetric arrays.

Jia Yao, Xubo Ke, Xinyue Gu, Zhihan Jiang, Zhengzheng Ying, Chenze Lu, Chongbo Sun, Pei Xu

Abstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2025. 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. Review
  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

8 authors.

Jia YaoInternational Joint Laboratory for Agricultural Plant Metrology and Equipment Innovation, College of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Xubo KeInternational Joint Laboratory for Agricultural Plant Metrology and Equipment Innovation, College of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Xinyue GuInternational Joint Laboratory for Agricultural Plant Metrology and Equipment Innovation, College of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Zhihan JiangInternational Joint Laboratory for Agricultural Plant Metrology and Equipment Innovation, College of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Zhengzheng YingXianju County Specialty Technology Promotion Center, Xianju 317300, China.
Chenze LuInternational Joint Laboratory for Agricultural Plant Metrology and Equipment Innovation, College of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Chongbo SunInstitute of Horticulture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Pei XuInternational Joint Laboratory for Agricultural Plant Metrology and Equipment Innovation, College of Life Sciences, China Jiliang University, Hangzhou 310018, China. peixu@cjlu.edu.cn.

Funding

the 28th Student Research Program Project of China Jiliang University 2025X28090the National Natural Science Foundation of China 32402593the "Pioneer" and "Leading Goose" R&D Program of Zhejiang 2023C02028the Zhejiang Provincial Natural Science Foundation of China LQN25C150002
6 · The paper itself

Abstract

Orchids are highly valued ornamental plants whose growth conditions directly impact the economic returns of the horticultural industry. The substrate, acting both as a physical support and a nutrient reservoir, is critical for orchid development. Therefore, the careful selection of an appropriate growth substrate is of paramount importance. However, existing research on the relationship between orchid growth and substrate properties relies mainly on manual measurements of physiological indicators, with limited application of high-throughput phenotyping (HTP) platforms. In this study, we evaluated three distinct substrate types, peat soil mixed with perlite, pine bark, and river sand, which were applied to two orchid species,

Indexed as

High-Throughput Screening AssaysOrchidaceaeBiomassHumidityPhenotypePhotosynthesisSoilTemperatureSoilCultivation substrateHigh-throughput monitoringOrchidPhenotypic platformPlantarray

Identifiers

PMID42152563
PMCPMC13183488

What OpenQuestion holds

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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.