1 / 31

International Crop Information System : Its Development and Rice & Wheat Implementation

International Crop Information System : Its Development and Rice & Wheat Implementation. Arllet M. Portugal and Graham Mclaren GCP. The ICIS Vision. Connecting Islands of data Connecting germplasm to crop improvement Integrating data across disciplines

anchoret-wright
Download Presentation

International Crop Information System : Its Development and Rice & Wheat Implementation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. International Crop Information System :Its Development and Rice & Wheat Implementation Arllet M. Portugal and Graham Mclaren GCP

  2. The ICIS Vision • Connecting Islands of data • Connecting germplasm to crop improvement • Integrating data across disciplines • Leveraging data sets to understand crop adaptation • Linking phenotype to genetics and genomics • Enabling collaboration • Seed exchanged with information • Leveling the information playing field • Developing global information resourcs

  3. ICIS IWIS IMIS IVIS ICHIS ISCIS IBIS … IRIS What is ICIS? • ICIS is a computerized database system for general, integrated management and utilization of genealogy, nomenclature, evaluation and characterization data for a wide range of crops. • ICIS is a public open source collaboration involving a number of CGIAR centers and non-CG partners • ICIS is an empty shell which must be implemented for each crop individually

  4. Components of ICIS • Crop Data Management • Genealogy Management System (GMS) • Data Management System (DMS) • Inventory Management System (IMS) • Genetic Resources Information Management System (GRIMS) • Genetics/Genomics (GEMS)

  5. Genealogy Management System (GMS) • GMS stores and manages information on genesis, genealogy, nomenclature and chronology of germplasm for a particular crop. It operates on the principle of unique identification of germplasm through system assigned Germplasm IDs • It separates management of genealogy data from nomenclature so users are free to name germplasm as they like anf the genealogy is always ‘computable’

  6. The GMS Data Model GENERATIVE GERMPLASM GERMPLASM has progenitors DERIVATIVE AND MAINTENANCE GERMPLASM has group has source Developed by METHODS Called NAMES Named at Named by Developed at LOCATIONS Developed by USERS With value of ATTRIBUTES Definedproperty of USER-DEFINED FIELDS

  7. ICIS Applications: Standalone Tools SetGen ICIS Workbook Inventory Tracker

  8. GMS Applications • Genealogy Display Tools • Pedigree Input Tools • Breeder’s Tools (Set Generation) • Breeder’s Tools (Field Books) • Analysis Tools (Coefficients of Parentage)

  9. Historical Data from China

  10. APPLICATIONS -Browse

  11. SETGEN GMS application for managing lists of germplasm for breeding, characterization or evaluation • genealogy • nomenclature • chronology

  12. List Manager: germplasm list generator

  13. Filename: N2000DS.xls Data Model of DMS Variate Study Factor Level Observation Unit Datum

  14. Data Model ... Factor Variate Fert Yield PROPERTY NITROGEN FERTILIZER GRAIN YIELD t/ha SCALE kg/ha Adjusted Yield METHOD Total Application

  15. Observed in Applied in Identified by FACTOR VARIATE Expressed in Measured/Applied by Measurement of Level of DATUM LEVEL Recorded from OBSERVATION UNIT Indexed by Data Model .... STUDY PROPERTY SCALE METHOD

  16. ICIS Development Release of ICIS http://cropforge.org/projects/iciscomm/ Documentation of ICIS http://www.cropinfo.org/icis/index.php/Main_Page

  17. Why IRRI needs ICIS then? • Data are scattered around the institute • No integration in the current systems • System was unshareable • The technology was obsolete

  18. SOIL STRESS DATA GRC SHU BREEDING PROGRAM IR64 MUTANT DATABASE GAMMA LAB GCP DATA INGER IRIS: Linking Islands of Information

  19. IRRIGATED RICE BREEDING CENTRAL IRIS DATABASE PBGB DATA MANAGEMENT Evaluation Data and Pedigree Processing Cross Definition Field Books for HB, F2, PN, OYT, RYT IRRIGATED RICE BREEDERS IRB LOCAL DATABASE Grain Quality Quality Data

  20. Sample Field book with historical data

  21. INGER: International Trials Trial Details Field book Rainfall Promising entries Weather >>

  22. GRIMS: Integration of Genebank System with IRIS

  23. SHU and SMTA Portal

  24. International Nursery Trials IWIS2 Genebank Accessions Irrigated Durum/ Triticale Rainfed CIMMYT Breeding Data Univ. of Sydney UQ SPARC-AAFC Advanced Research Institute Punjab Agricultural University Directorate of Wheat Research, India NARS IWIS3: Managing the Global Wheat Data IWIS3 ICARDA Wheat Breeding

  25. IWIS3 websites • CIMMYT http://iwis.cimmyt.org/ Search for a germplasm Trial Study Pedigree Tree

  26. Rainfed Durum Triticale Irrigated IWIS3 for Wheat Breeding

  27. Generate a cross IWIS Cross

  28. Generate a Selection • Run IWIS Selection • Retrieve the list of entries to advance to next generation • Fill up the Description sheet of the template • Enter the number of plants selected in the NSEL • Enter outstanding trait, if there is any. • Load the study • Generate the lines using SetGEn IWIS Selection

  29. Entering data using handheld FieldLog

  30. Future Development through MBP • Configurable Workflow • Better management of molecular and genotyping • Integration of genotyping and phenotyping data • Integration of ontology system • Integration with analysis tools • Not Operating System dependent

  31. Acknowledgement Guy Davenport ICIS Development Team Zeus Development Team MBP Development Team CRIL Staff ACIAR and AIMBP collaborators IRRI GRC, PBGB, INGER and SHU CIMMYT Global Wheat Program and GRP Graham McLaren GCP

More Related