LemnaTec News

Prime Minister inaugurated IARI Phenomics Center

A LemnaTec Greenhouse Scanalyzer Plant-to-Sensor platform was installed at the Indian Agricultural Research Insitute, which was inaugurated by the Prime Minister of India Mr. Narendra Modi on 11th October 2017. The Prime Minister was guided through the facilities with the imaging cabinets, conveyers and the weighing/watering units.

The Greenhouse Scanalyzer comprises four growth areas equipped with conveyers. The growth areas are located in separate greenhouse compartments, so that plant groups can be physically separated and eventually subjected to different conditions. In each growth area, 300 plant carriers can be loaded, which is a total capacity of 1200 plants.The Scanalyzer has a broad variety of cameras, including visible light imaging, near-infrared and infrared imaging, chlorophyll fluorescence imaging and hyperspectral imaging. There is a camera that monitors roots growing in transparent pots, too. The Scanalyzer is equipped with weighing and watering units that allow irrigation control of the pots.

12.10.2017

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Barley biomass accumulation

Researchers at the IPK Gatersleben analysed biomass accumulation in barley using a LemnaTec Greenhouse Scanalyzer. Phenotypic data delivered information on temporal patterns and genetic architecture underlying the biomass accumulation.

Neumann, Kerstin; Zhao, Yusheng; Chu, Jianting; Keilwagen, Jens; Reif, Jochen C.; Kilian, Benjamin; Graner, Andreas (2017): Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis. In: BMC plant biology 17 (1), S. 137. DOI: 10.1186/s12870-017-1085-4.

10.10.2017

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Nature Plants published a paper on research infrastructures authored by Jacques Roy, François Tardieu, Michèle Tixier-Boichard and Ulrich Schurr, pointing out the importance of phenotyping for the development of agricultural innovations that meet future demand of food and bio-based materials.

Roy, Jacques; Tardieu, François; Tixier-Boichard, Michèle; Schurr, Ulrich (2017): European infrastructures for sustainable agriculture. In: Nature Plants 3 (10), S. 756–758. DOI: 10.1038/s41477-017-0027-3.

06.10.2017

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Einsatz von Laserscannern in der Hochdurchsatzphänotypisierung

LemnaTec scientists Dr. Tino Dornbusch and Dr. Stefan Paulus published a report on the use of laser scanners in high throughput phenotyping. The text in German is accessible here.

05.10.2017

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Analysis of stress responsive pathways

When coping with environmental signals, complex networks of signal transduction and regulation processes are triggered. This particularly includes organelle functions. Nuclear-encoded organelle-targeted genes have central functions in such regulations. Mutations in such genes take influence on phenotypes and act pleiotropically. Researchers at the University of Nebraska Lincoln used a Lab Scanalyzer HTS to monitor plant growth in order to quantify mutant effects on growth phenotypes. Mutation-related growth reduction and phenotypic variances were set in relation to transcriptomic changes.

Shao, Mon-Ray; Kumar Kenchanmane Raju, Sunil; Laurie, John D.; Sanchez, Robersy; Mackenzie, Sally A. (2017): Stress-responsive pathways and small RNA changes distinguish variable developmental phenotypes caused by MSH1 loss. In: BMC plant biology 17 (1), S. 47. DOI: 10.1186/s12870-017-0996-4.

29.09.2017

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Review on Importance of Phenotyping in Breeding

Researchers from the Italian Research Centre for Vegetable and Ornamental Crops published a review that points out the high importance of phenotyping at various scales for improving future breeding procedures. In particular, when using material from gene banks for horticultural crop breeding, precise phenotypic information is essential.

Nunzio D’Agostino and Pasquale Tripodi (2017): NGS-Based Genotyping, High-Throughput Phenotyping and Genome-Wide Association Studies Laid the Foundations for Next-Generation Breeding in Horticultural Crops. In: Diversity 9 (3), S. 38. DOI: 10.3390/d9030038.

20.09.2017

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Seed meets Technology 2017

LemnaTec will launch the new GERMINATION SCANALYZER at Seed Meets Technology 2017 Sep 26-28 2017 in the Netherlands.

The GERMINATION SCANALYZER measures time, percentage, and homogeneity of germination by analyzing images of moistened seeds over time. Taking the emergence of roots from the seed as an indicator, image processing software can determine the status of germination. From this information we can derive timing and percentage of seeds germinated and also assess whether germination is homogenous.

Visit us at Seed Meets Technology 2017 and meet our Sales Director Christoph Podes. Alternatively, you can view the new GERMINATION SCANALYZER on our website.

19.09.2017

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Duckweed tests deliver data in screening for herbicidal compounds from natural sources

Looking for compounds with herbicidal activity, a fungus (Curvularia intermedia) was isolated from Pandanus amaryllifolius leaves, where it caused wilting symptoms. After isolating fungal metabolites, curvulatin and derivatives, toxicity was proven using a Lemna growth inhibiton test. LemnaTec software enabled growth analysis to figure out effective concentrations of the compounds. Future tests should show whether the substances are suitable for use in weed management.

Meepagala, Kumudini M.; Johnson, Robert D.; Duke, Stephen O. (2016): Curvularin and Dehydrocurvularin as Phytotoxic Constituents from Curvularia intermedia Infecting Pandanus amaryllifolius. In: JACEN 05 (01), S. 12–22. DOI: 10.4236/jacen.2016.51002.

18.09.2017

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Shanghai Jiao Tong University tested responses to root zone water availability

Researchers of the Shanghai Jiao Tong University used a LemnaTec Greenhouse Scanalyzer to assess the impact of root zone water availability on shoot growth performance of pakchoi (Brassica rapa chinensis) plants. Aim was to establish a method to discriminate root zone water availability levels by applying shoot phenotyping methods. Visible light and near-infrared camera recordings were processed with LemnaGrid software. Resulting parameters on morphology, colour, and NIR reflectance were used in machine learning approaches in order to conclude from phenotypic traits to the root zone water availability. Particularly colour and NIR reflectance turned out to be good indicators of the root zone water status. This phenotype-based root zone water status rating method offers application potential for irrigation control in horticulture, particularly for indoor-cultivated plants. Phenotype-driven precision irrigation can minimise water stress during cultivation.

Guo, Doudou; Juan, Jiaxiang; Chang, Liying; Zhang, Jingjin; Huang, Danfeng (2017): Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques. In: Scientific reports 7 (1), S. 8303. DOI: 10.1038/s41598-017-08235-z.

18.09.2017

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Automated growth stage determination with Rothamsted Field Scanalyzer

Current phenotyping technology fulfills tasks that are congruent with many “classical” measurements in agronomy or botany. Howerver, despite measuring the same object, data might lack comparability. One challenge is matching growth stages with non-invasive phenotyping data. Scientists at Rothamsted Research used machine learning methods to derive growth stage information in wheat from Field Scanalyzer-captured images.

Sadeghi-Tehran, Pouria; Sabermanesh, Kasra; Virlet, Nicolas; Hawkesford, Malcolm J. (2017): Automated Method to Determine Two Critical Growth Stages of Wheat: Heading and Flowering. In: Front. Plant Sci. 8, S. 252. DOI: 10.3389/fpls.2017.00252.

18.09.2017

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Water stress trials at Arkansas State University

Using an HTS Scanalyzer with RGB-, NIR-, and fluorescence cameras, researchers generated 4320 images of Arabidopsis plants in a drought study. Growth responses, water content, and chlorophyll-originating fluorescence signals were used to physiologically characterise the responses of the plants towards water limitation in different severities. Together with ionomic data, phenotypic data help to understand mecahnisms of plants coping with low water availability. The results were published in Functional Plant Biology:

Lucia M. Acosta-Gamboa, Suxing Liu, Erin Langley, Zachary Campbell, Norma Castro-Guerrero, David Mendoza-Cozatl, Argelia Lorence; Acosta-Gamboa, Lucia M.; Liu, Suxing; Langley, Erin; Campbell, Zachary; Castro-Guerrero, Norma et al. (2017): Moderate to severe water limitation differentially affects the phenome and ionome of Arabidopsis. In: Functional Plant Biol. 44 (1), S. 94. DOI: 10.1071/FP16172.

15.09.2017

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PhenoDays Workshops - hands-on experience in phenotyping

Phenodays workshops are occasionally organised to address the user community and attract interested people. They usually take place associated to phenotyping events.

01.04.2017

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Phenomics at the Arkansas Center for Plant Powered Production

Manual phenotyping of large sets of plants requires a great deal of resources and expertise and is typically not feasible for detection of subtle phenotypes. Therefore, there is a growing need to develop quantitative, reproducible, and highly automated phenotyping systems to analyze large numbers of plants.

LemnaTec’s phenotyping software completes the picture at the Vienna Biocenter

LemnaTec OS, the advanced phenotyping software system from global biotech specialist LemnaTec GmbH, has been deployed at the Vienna Biocenter Core Facilities with a growth chamber designed to simulate different climates and stress conditions. An example movie shows how the analysis works in Vienna.

Deep field phenotyping becomes reality at Rothamsted Research

In partnership with LemnaTec, the global plant phenotyping specialist, scientists at Rothamsted Research have implemented a Field Scanalyzer capable of continuously monitoring the development of crops under field conditions.

The facility will be used initially to understand the development of numerous pre-breeding wheat lines that have been generated through the Wheat Genetic Improvement Network (WGIN) programme supported by Defra and the Wheat Initiative Strategic Programme (WISP), funded by the BBSRC and led by the John Innes Centre in collaboration with Rothamsted Research and other university partners.

Dr Malcolm Hawkesford, Head of Plant Biology and Crop Science at Rothamsted, tells the story so far.

LemnaTec-OS software screens parasites at Zoetis

Zoetis, previously a subsidiary of Pfizer, is the largest animal health company in the world. The company provides a diverse portfolio of animal medicines and vaccines to meet the needs of veterinarians, pet owners and livestock farmers in more than 120 countries.

At its global R&D headquarters in Kalamazoo, Michigan, Zoetis develops effective treatments for internal and external parasites in companion and production animals by using in vitro models.

LemnaTec unveils the largest field phenotyping robot in the world

Global plant phenotyping specialist LemnaTec has unveiled the largest field robot in the world, capable of continuously monitoring the development of crops under real growing conditions.

LemnaTec awarded best digital plant phenotyping platform

Global Health and Pharma magazine has announced the winners of the 2016 Biotechnology Awards with phenotyping specialist LemnaTec awarded best digital plant phenotyping platform for its pioneering work in field phenotyping.

LemnaTec’s ‘cool technology’ at the ARPA-E Energy Innovation Summit USA

March 3rd 2016, Aachen, Germany: Global plant phenotyping specialist LemnaTec teamed up with the Donald Danforth Plant Science Center last week in Washington, DC, to present the Field Scanalyzer to stakeholders from across the energy and technology sectors including U.S. Secretary of Energy Ernest Moniz, President of the World Bank Jim Yong Kim and Al Gore.