Breeding informatics

The Enterprise Breeding System (EBS)

The Enterprise Breeding System (EBS) is an open-source breeding informatics software being developed for crop breeding programs serving resource-poor farmers in Africa, Asia and Latin America.

The EBS connects, merges and builds upon existing breeding software and data solutions to offer a single powerful tool, so that breeders can focus on using data to create better varieties, faster.

Enterprise Breeding System hackathon

First steps taken to unify CGIAR-NARS breeding software


Photo credit: CIMMYT / Eleusis Llanderal Arango

From 21 October to 1 November, software developers and administrators from several breeding software projects met at the headquarters of the International Maize & Wheat Improvement Center (CIMMYT) in Mexico to work on delivering an integrated solution to crop breeders.

Inventory

Inventory is an open-source application that lets users collect inventory and weight data simultaneously. The app can perform as a standalone sample collection platform but is also compatible with Elane USB scales. These scales can be plugged directly into Android devices with USB OTG functionality. A USB hub can be used to allow both a scale and barcode scanner to run at the same time.

Linear selection indices in modern plant breeding

This book represents a compilation of work done in the area of “selection indices” in animal and plant breeding.

Selection indices were originally developed by Smith (1936) in plant breeding and by Hazel (1943) in animal breeding to address the selection of plants or animals scored for multiple traits.

In agriculture, the breeding worth (or net genetic merit) of a candidate for selection depends on several traits. For example, grain yield, disease resistance, and flowering time.

Highly Interactive Data Analysis Platform (HIDAP)

The Highly Interactive Data Analysis Platform (HIDAP) was developed for clonal crop breeders at the International Potato Center (CIP)

It is part of on-going efforts to unify best practices which practices include data collection, data quality and data analysis in clonal crop breeding. HIDAP builds on the former in-house tools DataCollector (DC) and CloneSelector (CS). These tools supported potato and sweetpotato breeding, respectively.