PhenoFabTM服務主要包括: ♦? 大于300 m2的現代化溫室;
♦ 帶有特殊硬件的專業溫室,環境條件完全可控;
♦ 針對不同的作物,有數字化表型鑒定、專業統計分析方法進行分析;
♦ 性狀分析主要包括顏色、種芽和生物量、遺傳特性、根系發育、冠層結構以及生物/非生物因子脅迫等等;
♦ 對植物單株進行多層次數字化的性狀觀察(角度、時間序列、光照等等);
♦ 專利軟件進行植物表型從圖像到數字化的統計學分析;
♦ 完全整合的圖像數據庫存儲實驗數據(類似于實驗室信息管理系統);
♦ 自動澆水和營養鹽供給系統。
Geoffrey B Fincher1 , Mark A Tester2 , Robert Furbank3 , Murray Badger4
- 1 Australian Research Council Centre of Excellence in Plant Cell Walls, School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, Glen Osmond, SA 5064, Australia
- 2 Australian Centre for Plant Functional Genomics, School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, Glen Osmond, SA 5064, Australia
- 3 High Resolution Plant Phenomics Centre, CSIRO Plant Industry, Canberra, ACT 2601, Australia
- 4 High Resolution Plant Phenomics Centre, Australian National University, Canberra, ACT 2601, Australia
The Australian Plant Phenomics Facility (APPF) is a $50 million project that has two nodes. At the first node, located at CSIRO Plant Industry and ANU in Canberra, new non-destructive phenomics technologies such as high resolution infra-red imaging are being adapted for in-depth application to individual plants and for use in the field.
The second node consists of the Plant Accelerator, which has recently been constructed on the Waite Campus of the University of Adelaide. It provides automated, high throughput, non-destructive imaging of plant populations in controlled environments. The Plant Accelerator node includes four “smarthouses”, which contain conveyor systems to deliver potted plants automatically to four imaging stations for high resolution, multi-aspect imaging at a range of visible and infra-red wavelengths. The Plant Accelerator has been used to generate data on the tolerance of wheat and barley lines to abiotic stresses such as salinity and borate toxicity, and the data have been compared with those obtained previously using several manual phenotyping protocols.
High-Throughput Phenotyping In Barley – The IPK Plant Phenomics Facilities
Anja Hartmann , Tobias Czauderna , Roberto Hoffmann , Christian Klukas , Thomas Altmann , Falk Schreiber , NILs Stein
Leibniz Institute of Crop Plant Research (IPK), Corrensstr. 3, 06466 Gatersleben, Germany
Automated high-throughput or high precision phenotyping remains one of the major bottlenecks in plant research since more and more plant genomes are being sequenced. In order to facilitate ways of automated phenotyping in the analysis of natural genetic diversity in cereal crops as well as in crop response to abiotic stresses, we are in the process of establishing a Lemnatec Scanalyzer system, which can accommodate 312 barley plants. Initial steps were made and lessons learned in course of setting up standardized calibration experiments. An image analysis software was developed (HT-Pheno) based on open source tools to allow for flexible basic determination of plant area. Extensive calibration experiments were performed to learn about the influence of environmental effects of the surrounding glasshouse. An overview of the initial experiences will be provided and discussed.
Gert-Jan Speckmann , Bas de Regt , Shital Dixit , Koen Huvenaars , Jose Guerra , Harold Verstegen , Marco G.M. van Schriek
Keygene N.V., Agro Business Park 90, 6708 PW, Wageningen, The Netherlands
The KeyTrack system allows for efficient execution of root research in a high throughput manner. The KeyTrack platform is a robust phenotyping platform in a greenhouse setup. The phenotyping is based on imaging technology and uses the potential of a track that moves all plants fully automated through the greenhouse compartment and scanning areas. The plants grow in individual containers and are photographed at pre-set points in time and from different angles.
The research presented encompasses the creation of an automated root phenotyping protocol and image analysis pipeline. The material used for this research is the tomato LA716 S. pennellii introgression line library created by prof. Dani Zamir. The research described merges the phenotypic data generated with genotypic knowledge, to feed lead discovery and root development in tomato.
Fred van Eeuwijk1,2 , Gerie van der Heijden1, , Yu Song3 , Gerrit Polder1 , Anja Dieleman4 , Chris Glasbey3
- 1 Biometris, Wageningen University and Research Centre, P.O. Box 100, 6700 AC Wageningen, The Netherlands
- 2 Centre for Biosystems Genomics, P.O. Box 98, 6700 AB Wageningen, The Netherlands
- 3 BioSS, Kings Buildings, Edinburgh EH9 3JZ, Scotland
- 4 Wageningen UR Greenhouse Horticulture, P.O. Box 644, 6700 AP Wageningen, The Netherlands
Kerstin A Nagel , Fiorani Fabio , Ulrich Schurr
Institute of Chemistry and Dynamics of the Geosphere ICG-3 (Phytosphere), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
Catherine J Howarth , Alan P Gay , John Draper , Wayne Powell
IBERS Aberystwyth University Gogerddan Aberystwyth SY23 3EB U.K.
Francois Tardieu1 , Alain Charcosset2 , Xavier Draye3 , Graeme Hammer4 , Bjorn Usadel5 , Roberto Tuberosa6
- 1 INRA, UMR 759 LEPSE, 2 place Viala, 34060 Montpellier, France
- 2 INRA, Station de Génétique Végétale, Ferme du Moulon, 91190 Gif-sur-Yvette, France
- 3 Crop Physiology and Plant Breeding, Université catholique de Louvain, Croix du Sud 2/11, 1348 Louvain-la-Neuve, Belgium
- 4 Agricultural Production Systems Research Unit, The University of Queensland, Brisbane, Qld 4072, Australia
- 5 Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476 Potsdam-Golm, Germany
- 6 DISTA, University of Bologna, Viale Fanin 44, 40127 Bologna, Italy
Develop new screens under controlled and field conditions that will consider indicators which are (i) highly heritable and measurable in a high-throughput fashion in phenotyping platforms, (ii) based on metabolite concentration, sensitivity parameters of models or hormonal balance, (iii) genetically related to target traits and able to predict genotype performance in the field via simulation and/or statistical models;
Explore the natural variation of the target traits by (i) linking the target traits to physiological pathways, genes or genomic regions, (ii) assessing the effects of a large allelic diversity for the four target traits via association genetics;
Support crop improvement strategies by developing methods for estimating the comparative advantages of relevant alleles and traits in fields with contrasting drought scenarios. This will be achieved via field experiments and by developing new crop models able to estimate the effects of alleles on crop growth, yield and water-use efficiency.
Christophe SALON , Christian JEUDY , Celine BERNARD , Richard THOMPSON , Vivienne GIANINAZZI-PEARSON , Xavier REBOUD , Philippe LEMANCEAU , Jacques CANEILL
UMR Agroecology, National Institute of Agronomical Research (INRA), 17 rue Sully, BP86510, 21065 Dijon Cedex
PPHD is constituted of a building (hosting activities related to plant material preparation, plant growth and post growth analysis) with S2 modular greenhouses and climatic chambers. These are equipped with conveyors belts to homogenize plant growth conditions and automatically bring plant units to the phenotyping cabinets. Phenotyping is based on image analysis (visible light, near infrared and fluorescence) which allows characterizing non destructively and automatically i) a large variety of plant species and specifically designed high throughput rhizotrons ii) seeds or microorganisms, plantlets. Because of its specificity consisting in the high throughput study of plant/plant and plant(pathogene-symbiotic)micro organisms interactions at the shoot level and more specifically the root level, PPHD constitutes a major infrastructure for identifying determinants of plant adaptation to new cropping systems displaying enhanced agro ecological services.
——Scientific image processing since 1998
LemnaTec公司位于德國亞琛市,于1998年5月由8位不同學科背景的合作者共同成立。公司一直延續著“結合多學科能力”的理念,因此,LemnaTec 科研團隊由不同學科背景的專家組成,主要包括生物學家、物理學家、化學家、生物信息學家、生態毒理學家以及硬件軟件工程師等等。他們為植物表型組學研究、高通量掃描(植物、種苗、昆蟲以及其他生物)、自動化評估(生態毒理學效應等)提供了完美的解決方案。植物表型數字化圖像通過Scanalyzer 3D和Scanalyzer HTS系統及時獲取,利用高級的圖像處理系統和整合的數據分析功能,能對任何一個可見的參數(如顏色、形狀、大小和結構等)進行測定和深入的分析。LemnaTec的目標:超越人眼,具體化分析生物學性狀!
——It is a Green Gene Revolution
KeyGene作為世界知名的生物公司,長期致力于作物產量、品質和健康狀況的研究,并在多種作物上探索和發掘了大量的遺傳變異。20多年來,KeyGene利用其尖端的分子育種技術和農作物性狀改良平臺,竭誠地為無數的育種公司提供技術支持,極大地推動了作物改良的進程。為了進一步的提供更加優質的服務,KeyGene公司放眼于未來,決定大力發展高通量植物表型鑒定技術,有效推動基因連鎖控制的復雜性狀的篩選和鑒定,更好的為遺傳育種工作服務。KeyGene總部位于荷蘭瓦赫寧根市,在美國馬里蘭州羅克維爾市設有分公司,與中國上海生命科學研究院設有合作實驗室。
——服務于中國的植物表型組學研究
上海澤泉科技有限公司作為的植物科學與農業科學產品與系統解決方案提供商,是德國LemnaTec公司在中國的唯一合作伙伴。澤泉科技攜手澤泉開放實驗室專業的技術服務團隊,致力于為作物育種、植物功能基因組學、植物表型組學等領域的客戶提供完善的產品與系統解決方案。