ICRISAT-ESA trains project and TL-II breeders

Hope And Tl2

ICRISAT-ESA trains project and TL-II breeders

Aiming to equip scientists with a tool that would help them identify stable genotypes of crop plants suitable for cultivation in several locations, the ICRISAT-Nairobi cereals team, led

by Mary Mgonja, organized a five-day training workshop on multi-environment trial (MET) data analysis from 31 May to 4 June 2010 at Egerton University, Njoro, Kenya. Twenty-five participants comprising ICRISAT-ESA Harnessing

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Opportunities for Productivity Enhancement (HOPE) and Tropical Legumes-II (TL-II) project breeders from Kenya, Malawi and Zimbabwe, and also NARS breeders, who are members of the ICRISAT-HOPE project from Kenya, Uganda, Eritrea, Ethiopia, Tanzania and southern Sudan, attended the workshop.

Besides Dr Mgonja, the organizing team included H Ojulong and E Manyasa from ICRISAT and Paul Kimurto of Egerton University. The training resource persons were Abhishek Rathore and Roma R Das, Biometrics staff members from India.

In her introductory remarks, Dr Mgonja underscored that the training was in response to the

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External Program and Management Review (EPMR) recommendation to involve breeders in the project. The workshop was officially launched by Alfred Kibor, Director of Research and Extension, Egerton University. Kibor welcomed the participants and discussed the long collaboration between the University and ICRISAT. He highlighted the ongoing finger millet and chickpea joint activities under the HOPE and TL-II projects, respectively. These activities, he hoped, would help identify suitable finger millet and chickpea varieties to be incorporated in the maize or wheat and barley cropping systems in the highlands of the Rift Valley.

The training covered basic statistics, design of experiments and the use of single and multisite analysis, understanding genotype X environment (G X E) and stability (Eberhart and Russel, AMMI, GGE and Factorial regression) and hands-on practice with users’ data. At the end of the training, participants received certificates, acknowledging their enhanced capacity. All the participants said that the training was useful and the skills they acquired in MET data handling will help them draw inferences for more efficient breeding work.