Download presentation
Presentation is loading. Please wait.
Published byMaximillian Cameron Modified over 9 years ago
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
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.