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

doi:10.1631/jzus.B2500195

Your Location：

Home >

Browse articles >

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

Scan QR Code

Alert me when the article has been cited

Submit

Research Article | Updated：2026-05-15

Optimized substrate selection for enhanced orchid growth based on high-throughput lysimetric arrays
Optimized substrate selection for enhanced orchid growth based on high-throughput lysimetric arrays
基于高通量表型组平台的优化基质选择以促进兰花生长
Journal of Zhejiang University-SCIENCE B Vol. 27, Issue 5, Pages: 437-449(2026)
Affiliations：

1.International Joint Laboratory for Agricultural Plant Metrology and Equipment Innovation, College of Life Sciences, China Jiliang University, Hangzhou 310018, China
2.Xianju County Specialty Technology Promotion Center, Xianju 317300, China
3.Institute of Horticulture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
Funds：
DOI：10.1631/jzus.B2500195
CLC：
CSTR：
Received：16 April 2025，

Revised：2025-06-25，

Online First：29 November 2025，

Published：15 May 2026
Accepted：

姚嘉,柯旭波,谷欣悦等.基于高通量表型组平台的优化基质选择以促进兰花生长[J].浙江大学学报（英文版）（B辑：生物医学和生物技术）,2026,27(05):437-449.

Jia YAO, Xubo KE, Xinyue GU, et al. Optimized substrate selection for enhanced orchid growth based on high-throughput lysimetric arrays[J]. Journal of Zhejiang University-SCIENCE B, 2026, 27(5): 437-449.
姚嘉,柯旭波,谷欣悦等.基于高通量表型组平台的优化基质选择以促进兰花生长[J].浙江大学学报（英文版）（B辑：生物医学和生物技术）,2026,27(05):437-449. DOI： 10.1631/jzus.B2500195.

Jia YAO, Xubo KE, Xinyue GU, et al. Optimized substrate selection for enhanced orchid growth based on high-throughput lysimetric arrays[J]. Journal of Zhejiang University-SCIENCE B, 2026, 27(5): 437-449. DOI： 10.1631/jzus.B2500195.

摘要

兰花极具观赏价值，其生长状况与园艺产业的经济效益息息相关。基质作为兰花的物理支撑和养分储备库，对其生长意义重大。因此，精准筛选适宜的生长基质在兰花栽培中占据关键地位。目前，有关兰花生长与基质特性关联的研究，大多仍借助人工测量生理指标的方式展开，高通量表型平台在该领域的应用尚显不足。本研究对泥炭土与珍珠岩的混合物、松树皮以及河沙三种不同类型基质展开评估，并将其应用于春兰和蕙兰这两个兰花品种。本研究借助高通量的Plantarray表型平台，对环境参数（光合有效辐射、湿度以及温度）以及关键生长指标（生物量积累、冠层导度和蒸腾速率）进行持续性记录。研究结果表明，基质类型对兰花生长影响显著。在受控环境下，较于其他基质，能提供均衡养分且具备良好排水性能的混合基质可促进兰花生长。此外，高通量表型平台获取数据与传统人工测量数据对比显示自动化系统在可靠性和准确性方面表现更为突出。综上，本研究不仅为兰花栽培过程中基质的合理选择提供了切实可行的指导建议，同时也为先进表型技术深度融入兰花栽培实践奠定坚实的科学基础。

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

Cymbidium goeringii

and

Cymbidium faberi

. Using the high-throughput Plantarray lysimetric system

we continuously recorded environmental parameters (photosynthetically active radiation

humidity

and temperature) as well as key growth metrics (biomass accumulation

canopy conductance

and transpiration rate). This platform enabled precise and rapid quantification of orchid growth indicators. The results show that the type of substrate significantly affects orchid growth. Under controlled conditions

mixed substrates that provide balanced nutrition and excellent drainage enhanced orchid growth compared to other substrates. Additionally

when the data obtained from the HTP platform were compared with those from traditional manual measurements

the automated system showed higher reliability and accuracy. This study not only provides practical guidance for selecting cultivation substrates for orchids

but also establishes a robust scientific framework for integrating advanced phenotyping technologies into orchid cultivation practices.

关键词

Keywords

references

Allohverdi T , Mohanty AK , Roy P , et al. , 2021 . A review on current status of biochar uses in agriculture . Molecules , 26 ( 18 ): 5584 . https://doi.org/10.3390/molecules26185584 https://doi.org/10.3390/molecules26185584

Bălăiţă C , Ambăruş S , Brezeanu PM , et al. , 2024 . Preliminary studies on the influence of different substrates on the cultivation of peppers ( Capsicum annuum L .). Sci Pap Ser B Hortic , LXVIII( 2 ): 381 - 392 .

Blok C , Eveleens B , van Winkel A , 2021 . Growing media for food and quality of life in the period 2020‒2050 . Acta Hortic , 1305 : 341 - 356 . https://doi.org/10.17660/ActaHortic.2021.1305.46 https://doi.org/10.17660/ActaHortic.2021.1305.46

Brown SG , Klett JE , 2020 . Impacts of growth substrate and container size on cutting production from ‘snow angel’ coral bells stock plants . HortTechnology , 30 ( 2 ): 185 - 192 . https://doi.org/10.21273/HORTTECH04495-19 https://doi.org/10.21273/HORTTECH04495-19

Chen DJ , Neumann K , Friedel S , et al. , 2014 . Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis . Plant Cell , 26 ( 12 ): 4636 - 4655 . https://doi.org/10.1105/tpc.114.129601 https://doi.org/10.1105/tpc.114.129601

Collado CE , Hwang SJ , Hernández R , 2024 . Supplemental greenhouse lighting increased the water use efficiency, crop growth, and cutting production in Cannabis sativa . Front Plant Sci , 15 : 1371702 . https://doi.org/10.3389/fpls.2024.1371702 https://doi.org/10.3389/fpls.2024.1371702

Conrad K , Hansen HCB , 2007 . Sorption of zinc and lead on coir . Bioresour Technol , 98 ( 1 ): 89 - 97 . https://doi.org/10.1016/j.biortech.2005.11.018 https://doi.org/10.1016/j.biortech.2005.11.018

Criscione KS , Fields JS , Owen JS , et al. , 2022 . Evaluating stratified substrates effect on containerized crop growth under varied irrigation strategies . HortScience , 57 ( 3 ): 400 - 413 . https://doi.org/10.21273/HORTSCI16288-21 https://doi.org/10.21273/HORTSCI16288-21

Driesen E , de Proft MP , Lauwers A , et al. , 2021 . Effect of substrate temperature on plant growth and transpiration rates, determined by means of soil moisture sensors . Acta Hortic , 1327 : 111 - 120 . https://doi.org/10.17660/ActaHortic.2021.1327.14 https://doi.org/10.17660/ActaHortic.2021.1327.14

Enders TA , St . Dennis S , Oakland J , et al., 2019 . Classifying cold-stress responses of inbred maize seedlings using RGB imaging. Plant Direct, 3 ( 1 ): e00104 . https://doi.org/10.1002/pld3.104 https://doi.org/10.1002/pld3.104

Fang PP , Sun T , Pandey AK , et al. , 2023 . Understanding water conservation vs. profligation traits in vegetable legumes through a physio-transcriptomic-functional approach . Hortic Res , 10 ( 3 ): uhac287 . https://doi.org/10.1093/hr/uhac287 https://doi.org/10.1093/hr/uhac287

Griffiths M , Atkinson JA , Gardiner LJ , et al. , 2022 . Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat . J Integr Agric , 21 ( 4 ): 917 - 932 . https://doi.org/10.1016/S2095-3119(21)63700-0 https://doi.org/10.1016/S2095-3119(21)63700-0

Hajiaghaei Kamrani M , Rahimi Chegeni A , Hosseinniya H , 2019 . Effects of different growing media on yield and growth parameters of potato minitubers ( Solanum tuberosum L .). Commun Soil Sci Plant Anal , 50 ( 15 ): 1838 - 1853 . https://doi.org/10.1080/00103624.2019.1648487 https://doi.org/10.1080/00103624.2019.1648487

Halperin O , Gebremedhin A , Wallach R , et al. , 2017 . High-throughput physiological phenotyping and screening system for the characterization of plant–environment interactions . Plant J , 89 ( 4 ): 839 - 850 . https://doi.org/10.1111/tpj.13425 https://doi.org/10.1111/tpj.13425

Haworth M , Marino G , Atzori G , et al. , 2023 . Plant physiological analysis to overcome limitations to plant phenotyping . Plants , 12 ( 23 ): 4015 . https://doi.org/10.3390/plants12234015 https://doi.org/10.3390/plants12234015

Herrero-Huerta M , Rodriguez-Gonzalvez P , Rainey KM , 2020 . Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean . Plant Methods , 16 : 78 . https://doi.org/10.1186/s13007-020-00620-6 https://doi.org/10.1186/s13007-020-00620-6

Ke XB , Yao J , Jiang ZH , et al. , 2025 . Recover and surpass: the mechanisms of plants transition upon rehydration from drought . Plant Stress , 15 : 100782 . https://doi.org/10.1016/j.stress.2025.100782 https://doi.org/10.1016/j.stress.2025.100782

Kim JK , Shawon MRA , An JH , et al. , 2021 . Influence of substrate composition and container size on the growth of tissue culture propagated apple rootstock plants . Agronomy , 11 ( 12 ): 2450 . https://doi.org/10.3390/agronomy11122450 https://doi.org/10.3390/agronomy11122450

Klute A , Dirksen C , 1986 . Hydraulic conductivity and diffusivity: laboratory methods . In: Klute A (Ed.), Methods of Soil Analysis: Part 1 Physical and Mineralogical Methods , 2nd Ed . American Society of Agronomy, Madison, p. 687 - 734 . https://doi.org/10.2136/sssabookser5.1.2ed.c28 https://doi.org/10.2136/sssabookser5.1.2ed.c28

Kumari P , Bhatt A , Meena VK , et al. , 2025 . Plant phenomics: the force behind tomorrow’s crop phenotyping tools . J Plant Growth Regul , 44 ( 5 ): 1791 - 1809 . https://doi.org/10.1007/s00344-024-11450-4 https://doi.org/10.1007/s00344-024-11450-4

Lawson T , Milliken AL , 2023 . Photosynthesis – beyond the leaf . New Phytol , 238 ( 1 ): 55 - 61 . https://doi.org/10.1111/nph.18671 https://doi.org/10.1111/nph.18671

Lazarević B , Šatović Z , Nimac A , et al. , 2021 . Application of phenotyping methods in detection of drought and salinity stress in basil ( Ocimum basilicum L.) . Front Plant Sci , 12 : 629441 . https://doi.org/10.3389/fpls.2021.629441 https://doi.org/10.3389/fpls.2021.629441

Lin LX , Lian ZF , Su MH , et al. , 2007 . Leaf area estimation of Cymbidium at seeding stage . Chin J Trop Crops , 28 ( 3 ): 15 - 18 (in Chinese) . https://doi.org/10.3969/j.issn.1000-2561.2007.03.004 https://doi.org/10.3969/j.issn.1000-2561.2007.03.004

Ma DC , Yi B , Teng WC , et al. , 2024 . Growth, physiological and N, P, K accumulation responses of Erythropalum scandens Bl. seedlings under different substrates . BMC Plant Biol , 24 : 972 . https://doi.org/10.1186/s12870-024-05678-1 https://doi.org/10.1186/s12870-024-05678-1

Mirani AA , Abul-Soad AA , Markhand GS , 2017 . Effect of different substrates on survival and growth of transplanted orchids ( Dendrobium nobile cv .) into net house. Int Scholars J Int , 5 ( 4 ): 310 - 317 .

Mirzakhaninafchi H , Mani I , Hasan M , et al. , 2022 . Development of prediction models for soil nitrogen management based on electrical conductivity and moisture content . Sensors , 22 ( 18 ): 6728 . https://doi.org/10.3390/s22186728 https://doi.org/10.3390/s22186728

Mupambwa HA , Lukashe NS , Mnkeni PNS , 2017 . Suitability of fly ash vermicompost as a component of pine bark growing media: effects on media physicochemical properties and ornamental marigold ( Tagetes spp.) growth and flowering . Compost Sci Util , 25 ( 1 ): 48 - 61 . https://doi.org/10.1080/1065657X.2016.1180270 https://doi.org/10.1080/1065657X.2016.1180270

Ngui ME , Lin YH , Wei IL , et al. , 2024 . Effects of the combination of biochar and organic fertilizer on soil properties and agronomic attributes of soybean ( Glycine max L.) . PLoS ONE , 19 ( 9 ): e0310221 . https://doi.org/10.1371/journal.pone.0310221 https://doi.org/10.1371/journal.pone.0310221

Ortiz-Delvasto N , García-Ibáñez P , Olmos-Ruiz R , et al. , 2023 . Substrate composition affects growth and physiological parameters of blueberry . Sci Hortic , 308 : 111528 . https://doi.org/10.1016/j.scienta.2022.111528 https://doi.org/10.1016/j.scienta.2022.111528

Pieruschka R , Huber G , Berry JA , 2010 . Control of transpiration by radiation . Proc Natl Acad Sci USA , 107 ( 30 ): 13372 - 13377 . https://doi.org/10.1073/pnas.0913177107 https://doi.org/10.1073/pnas.0913177107

Schafer G , Lerner BL , 2022 . Physical and chemical characteristics and analysis of plant substrate . Ornamental Hortic , 28 ( 2 ): 181 - 192 . https://doi.org/10.1590/2447-536X.v28i2.2496 https://doi.org/10.1590/2447-536X.v28i2.2496

Wang J , Huang JF , Wang XZ , et al. , 2015 . Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images . J Zhejiang Univ-Sci B (Biomed & Biotechnol) , 16 ( 10 ): 832 - 844 . https://doi.org/10.1631/jzus.B1500087 https://doi.org/10.1631/jzus.B1500087

Wang F , Fang Y , Wang LX , et al. , 2022 . Effects of residual monensin in livestock manure on nitrogen transformation and microbial community during “crop straw feeding-substrate fermentation-mushroom cultivation” recycling system . Waste Manage , 149 : 333 - 344 . https://doi.org/10.1016/j.wasman.2022.06.015 https://doi.org/10.1016/j.wasman.2022.06.015

Wang XY , Liu MJ , Ciampitti IA , et al. , 2024 . Benefits and trade-offs of replacing inorganic fertilizer by organic substrate in crop production: a global meta-analysis . Sci Total Environ , 925 : 171781 . https://doi.org/10.1016/j.scitotenv.2024.171781 https://doi.org/10.1016/j.scitotenv.2024.171781

Wright RD , 1986 . The pour-through nutrient extraction procedure . HortScience , 21 ( 2 ): 227 - 229 . https://doi.org/10.21273/HORTSCI.21.2.227 https://doi.org/10.21273/HORTSCI.21.2.227

Wu W , Feng XR , Lu CZ , 2024 . The rise of smart agriculture in China: current situation and suggestions for further development . Exp Agric , 60 : e28 . https://doi.org/10.1017/S001447972400022X https://doi.org/10.1017/S001447972400022X

Yang FJ , Wang WQ , Wu ZW , et al. , 2024 . Fertilizer reduction and biochar amendment promote soil mineral-associated organic carbon, bacterial activity, and enzyme activity in a jasmine garden in southeast China . Sci Total Environ , 954 : 176300 . https://doi.org/10.1016/j.scitotenv.2024.176300 https://doi.org/10.1016/j.scitotenv.2024.176300

Yang FX , Zhu GF , Wang Z , et al. , 2017 . MicroRNA transcriptome variations in the multi-tepal mutant provide insights into the floral patterning of the orchid Cymbidium goeringii . BMC Genomics , 18 : 367 . https://doi.org/10.1186/s12864-017-3756-9 https://doi.org/10.1186/s12864-017-3756-9

Zhang MC , Xie W , Zhong XJ , et al. , 2024 . The impact of combined application of biochar and fertilizer on the biochemical properties of soil in soybean fields . PeerJ , 12 : e18172 . https://doi.org/10.7717/peerj.18172 https://doi.org/10.7717/peerj.18172

Zhang SB , Yang YJ , Li JW , et al. , 2018 . Physiological diversity of orchids . Plant Divers , 40 ( 4 ): 196 - 208 . https://doi.org/10.1016/j.pld.2018.06.003 https://doi.org/10.1016/j.pld.2018.06.003

Views

Downloads

CSCD

Tools

Publicity Resources

Endocrine-disrupting chemicals in aquatic ecosystems and their impacts on aquatic organisms and humans with advances in detection and remediation

Halotolerant plant growth-promoting bacteria Enterobacter sp. Av16 and Acinetobacter sp. Av23 enhance seed germination and seedling photosynthesis of Apocynum pictum under salt stress

Regenerative potential of Schneiderian membrane-derived mesenchymal stem cells in sinus floor elevation model and calvarial defect model

Cell proliferation and differentiation during epidermis renewal

HENMT1: an RNA methyltransferase in biology and disease

Related Author

No data

Related Institution

No data

Address：Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou, China Postal code：310027
Tel：+86-571-87952783 Email：cjzhang@zju.edu.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰