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Graham McLaren and Arllet M. Portugal Generation Challenge Program

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1 Graham McLaren and Arllet M. Portugal Generation Challenge Program
International Crop Information System : Its Development and its Rice & Wheat Implementation Graham McLaren and Arllet M. Portugal Generation Challenge Program

2 Outline Importance of Data Management ICIS Vision What is ICIS?
Genealogy Management System Data Management System IRIS: Linking Islands of Information IWIS3: Managing the Global Wheat Data ICIS Development Future Development through IBP

3 Importance of Data Management
Data that are properly managed are: more accessible to other researchers more likely to be re-used in another purpose Available to assist in the development of combined/mutli-methods/across-time data sets More likely to be preserved – important for historically significant data Debby Terry

4 Importance of Data Management …
Greater access to research data will lead to: Better science Driven by the capacity for data linkage, sharing, analysis, aggregation & transformation more sophisticated cross-disciplinary and cross-method research Scientific method changes from: “hypothesize, design and run experiment, analyze results” to “hypothesize, look up answer in database” Enhanced returns from publicly-funded research Benefits afforded by the capacity for national and global sharing & linkage of data Debby Terry

5 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

6 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 ICIS IWIS IMIS IVIS ICHIS ISCIS IBIS IRIS

7 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)

8 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’

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

10 Data Management System (DMS)
DMS manages environmental data, germplasm characterization data and evaluation data for genetic resources and crop improvement projects. It is a data warehouse that accumulates and integrates data from a variety of sources. It handles any data structure and facilitates unambiguous annotation and linkage of data across studies via expandable controlled vocabularies

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

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

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

14 ICIS Applications: Standalone Tools
SetGen ICIS Workbook Inventory Tracker

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

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

17 List Manager – germplam list generator

18 A. Add germplasm record

19 B. Generate a cross

20 C. Generate a Selection

21 D. Create a trial list – Import from Excel

22 ICIS Workbook It is a macro in Excel that facilitates loading and retrieving evaluation, nursery trial, crop improvement data and even molecular data.

23 Workbook File: Evaluation Data
Sample Workbook file for the Irrigated Breeding Program

24 Browse – pedigree analysis
Mendelgram of Yecora F 70 and Oasis F 86 Released lines Coefficient of Parentage (COP)

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

26 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

27 Sample Field book with historical data

28 IRRI Rice Breeding Programs – fully managed in IRIS

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

30 SHU and SMTA Portal

31 SMTA Document

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

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

34 IWIS3 websites Australia- India Wheat Molecular Breeding

35 IWIS3 for Wheat Breeding
Rainfed Durum Triticale Irrigated

36 Generate a cross IWIS Cross

37 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

38 Entering data using handheld
FieldLog

39 E. Generating Fieldbook Report
Run the IWIS Retriever Click “Print Labels and Fieldbooks” Select Germplas list Click Generate Fieldbooks Click the type of the Field book you wish to generate Generate Field book for cross Generate Field book for selection

40 ICIS Development Documentation
Management of the codes and its releases Feature Request Error-fixing Workshops and Training

41 ICIS Development Code management and release of ICIS
Documentation of ICIS

42 Future Development through IBP
Configurable Workflow Better management of molecular and genotyping data Integration of genotyping and phenotyping data Integration of ontology system Integration with analysis tools Not Operating System dependent

43 Acknowledgement ICIS Development Team Zeus Development Team
IBP Development Team CRIL Staff


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