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Phenocave: An Automated, Standalone, and Affordable Phenotyping System for Controlled Growth Conditions

Leiva, Fernanda and Vallenback, Pernilla and Ekblad, Tobias and Johansson, Eva and Chawade, Aakash (2021). Phenocave: An Automated, Standalone, and Affordable Phenotyping System for Controlled Growth Conditions. Plants. 10 , 1817
[Research article]

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Abstract

Controlled plant growth facilities provide the possibility to alter climate conditions affecting plant growth, such as humidity, temperature, and light, allowing a better understanding of plant responses to abiotic and biotic stresses. A bottleneck, however, is measuring various aspects of plant growth regularly and non-destructively. Although several high-throughput phenotyping facilities have been built worldwide, further development is required for smaller custom-made affordable systems for specific needs. Hence, the main objective of this study was to develop an affordable, standalone and automated phenotyping system called "Phenocave" for controlled growth facilities. The system can be equipped with consumer-grade digital cameras and multispectral cameras for imaging from the top view. The cameras are mounted on a gantry with two linear actuators enabling XY motion, thereby enabling imaging of the entire area of Phenocave. A blueprint for constructing such a system is presented and is evaluated with two case studies using wheat and sugar beet as model plants. The wheat plants were treated with different irrigation regimes or high nitrogen application at different developmental stages affecting their biomass accumulation and growth rate. A significant correlation was observed between conventional measurements and digital biomass at different time points. Post-harvest analysis of grain protein content and composition corresponded well with those of previous studies. The results from the sugar beet study revealed that seed treatment(s) before germination influences germination rates. Phenocave enables automated phenotyping of plants under controlled conditions, and the protocols and results from this study will allow others to build similar systems with dimensions suitable for their custom needs.

Authors/Creators:Leiva, Fernanda and Vallenback, Pernilla and Ekblad, Tobias and Johansson, Eva and Chawade, Aakash
Title:Phenocave: An Automated, Standalone, and Affordable Phenotyping System for Controlled Growth Conditions
Series Name/Journal:Plants
Year of publishing :2021
Volume:10
Article number:1817
Number of Pages:19
Publisher:MDPI
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
Keywords:affordable, phenotyping, drought, image analysis, automated
URN:NBN:urn:nbn:se:slu:epsilon-p-113888
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-113888
Additional ID:
Type of IDID
DOI10.3390/plants10091817
Web of Science (WoS)000700108100001
ID Code:25624
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(LTJ, LTV) > Department of Plant Breeding (from 130101)
Deposited By: SLUpub Connector
Deposited On:11 Oct 2021 07:25
Metadata Last Modified:11 Oct 2021 07:31

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