About the Breeding Management System
Breeding Management System (BMS) is an information management system developed by the Integrated Breeding Platform to help breeders manage the breeding process, from programme planning to decision-making. The BMS suite of tools supports multiple breeding strategies: fmns
- Conventional breeding
- Marker-assisted selection
- Marker-assisted recurrent selection
- Marker-assisted backcrossing
The BMS package contains
- Software needed to run BMS
- Crop databases preloaded with germplasm characterization for priority crops and empty databases without preloaded information for additional crops
- Instructions, tutorials, and other documents to help you install and use the BMS
At present you can download the Breeding Management System (BMS) package from the internet or you can request a copy on DVD. To run the BMS, you will need a personal computer running the Microsoft Windows operating system (XP or a more recent version). The Workbench runs in a web browser (e.g. Internet Explorer or Firefox), but you do not need to be connected to the internet to run the BMS. A web-based version will soon be available for users who have high-speed access to the internet.
Minimum system requirements
- 2 GB RAM
- 1 GHz dual core
- 250 GB hard disk
Recommended system requirements
- 4 GB RAM
- 1 GHz dual core
- 500 GB hard disk
- Internet Explorer 8 and above
- Firefox 20 and above
- Google Chrome 27 and above
The Workbench is the Breeding Management System (BMS) user interface, and can launch all breeding tools and access associated crop databases. The home page of workbench is where new programmes can be created and previously started programmes browsed and opened. The Workbench runs in a web browser, but a connection to the Internet is not required to run the Workbench.
Breeding Management System (BMS) tools are applications that run on your local computer to assist and inform programme development. Tools can be categorized by (1) database integration and (2) stand-alone capabilities. All tools can be launched from the Workbench, but some tools function as stand-alone applications independent of the Workbench and the databases.
Database Integrated Tools
The Breeding Management System (BMS) contains database-integrated tools that seamlessly connect to the crop database when launched from an established Workbench program. Database integration minimizes the need to manually create, save, and import files as you move through a breeding programme. When these tools are launched through the Workbench, selected data moves seamlessly from the database to the application.
- Germplasm List Manager: Browse, search, and filter germplasm to create custom lists
- Breeding Manager: Design crosses, advance generations, and select progeny
- Genotype Database Manager: Connect germplasm to genotype data
- Nursery Manager: Design, manage, and advance nurseries
- Trial Manager: Design and manage field trials
- Statistical Analysis (Breeding View): Analyze phenotypic data, single site, and multi-site analyses
- Molecular Breeding Design Tool: Select target genotypes for marker-assisted backcross breeding (MABC) and determine optimal population sizes for each generation
Tools without Database Integration
These tools, even when launched from the workbench, are not automatically preloaded with selected data. Data files must be created, saved, and imported into these tools. Expect these tools to be database integrated in future versions of the Breeding Management System (BMS).
- Multi-Site Multi-Year Analyses
- QTL Analysis (Breeding View): Identify quantitative trait loci
- Molecular Breeding Planner: Match breeding goals and crop genetic considerations to marker-assisted breeding programmes
- Decision support tool for marker-assisted selection (OptiMAS): Generate a target genotype by predicting the recombination of favourable QTL into a target genotype
The BMS allows breeders the ability to customize crop ontology terms to match the traits and measurements important in their breeding program. The BMS comes pre-loaded with curated crop-specific ontology terms for nine crops: bean, cassava, chickpea, cowpea, groundnut, maize, rice, sorghum and wheat. A generic ontology is provided to support additional crop species.