3D Laser Triangulation for Plant Phenotyping in Challenging Environments
To increase the understanding of how the plant phenotype is formed by genotype and environmental interactions, simple and robust high-throughput plant phenotyping methods should be developed and considered. This would not only broaden the application range of phenotyping in the plant research commun...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/15/6/13533 |
id |
doaj-6af74ae45a0446c1b6875d637aeae5ee |
---|---|
record_format |
Article |
spelling |
doaj-6af74ae45a0446c1b6875d637aeae5ee2020-11-25T02:09:28ZengMDPI AGSensors1424-82202015-06-01156135331354710.3390/s150613533s1506135333D Laser Triangulation for Plant Phenotyping in Challenging EnvironmentsKatrine Heinsvig Kjaer0Carl-Otto Ottosen1Department of Food Science, Aarhus University, Kirstinebjergvej 10, 5792 Aarslev, DenmarkDepartment of Food Science, Aarhus University, Kirstinebjergvej 10, 5792 Aarslev, DenmarkTo increase the understanding of how the plant phenotype is formed by genotype and environmental interactions, simple and robust high-throughput plant phenotyping methods should be developed and considered. This would not only broaden the application range of phenotyping in the plant research community, but also increase the ability for researchers to study plants in their natural environments. By studying plants in their natural environment in high temporal resolution, more knowledge on how multiple stresses interact in defining the plant phenotype could lead to a better understanding of the interaction between plant responses and epigenetic regulation. In the present paper, we evaluate a commercial 3D NIR-laser scanner (PlantEye, Phenospex B.V., Herleen, The Netherlands) to track daily changes in plant growth with high precision in challenging environments. Firstly, we demonstrate that the NIR laser beam of the scanner does not affect plant photosynthetic performance. Secondly, we demonstrate that it is possible to estimate phenotypic variation amongst the growth pattern of ten genotypes of Brassica napus L. (rapeseed), using a simple linear correlation between scanned parameters and destructive growth measurements. Our results demonstrate the high potential of 3D laser triangulation for simple measurements of phenotypic variation in challenging environments and in a high temporal resolution.http://www.mdpi.com/1424-8220/15/6/13533high-throughput phenotyping (HTPP)sensor-to-plant conceptrapeseed (Brassica napus)leaf areashoot biomasschlorophyll fluorescencephotosystem II activitygrowth rateautomated growth measurement3D laser scanner |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Katrine Heinsvig Kjaer Carl-Otto Ottosen |
spellingShingle |
Katrine Heinsvig Kjaer Carl-Otto Ottosen 3D Laser Triangulation for Plant Phenotyping in Challenging Environments Sensors high-throughput phenotyping (HTPP) sensor-to-plant concept rapeseed (Brassica napus) leaf area shoot biomass chlorophyll fluorescence photosystem II activity growth rate automated growth measurement 3D laser scanner |
author_facet |
Katrine Heinsvig Kjaer Carl-Otto Ottosen |
author_sort |
Katrine Heinsvig Kjaer |
title |
3D Laser Triangulation for Plant Phenotyping in Challenging Environments |
title_short |
3D Laser Triangulation for Plant Phenotyping in Challenging Environments |
title_full |
3D Laser Triangulation for Plant Phenotyping in Challenging Environments |
title_fullStr |
3D Laser Triangulation for Plant Phenotyping in Challenging Environments |
title_full_unstemmed |
3D Laser Triangulation for Plant Phenotyping in Challenging Environments |
title_sort |
3d laser triangulation for plant phenotyping in challenging environments |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2015-06-01 |
description |
To increase the understanding of how the plant phenotype is formed by genotype and environmental interactions, simple and robust high-throughput plant phenotyping methods should be developed and considered. This would not only broaden the application range of phenotyping in the plant research community, but also increase the ability for researchers to study plants in their natural environments. By studying plants in their natural environment in high temporal resolution, more knowledge on how multiple stresses interact in defining the plant phenotype could lead to a better understanding of the interaction between plant responses and epigenetic regulation. In the present paper, we evaluate a commercial 3D NIR-laser scanner (PlantEye, Phenospex B.V., Herleen, The Netherlands) to track daily changes in plant growth with high precision in challenging environments. Firstly, we demonstrate that the NIR laser beam of the scanner does not affect plant photosynthetic performance. Secondly, we demonstrate that it is possible to estimate phenotypic variation amongst the growth pattern of ten genotypes of Brassica napus L. (rapeseed), using a simple linear correlation between scanned parameters and destructive growth measurements. Our results demonstrate the high potential of 3D laser triangulation for simple measurements of phenotypic variation in challenging environments and in a high temporal resolution. |
topic |
high-throughput phenotyping (HTPP) sensor-to-plant concept rapeseed (Brassica napus) leaf area shoot biomass chlorophyll fluorescence photosystem II activity growth rate automated growth measurement 3D laser scanner |
url |
http://www.mdpi.com/1424-8220/15/6/13533 |
work_keys_str_mv |
AT katrineheinsvigkjaer 3dlasertriangulationforplantphenotypinginchallengingenvironments AT carlottoottosen 3dlasertriangulationforplantphenotypinginchallengingenvironments |
_version_ |
1724923637075542016 |