acgg/koepon—our role in the program

ACGG/KOEPON—Our role in program

Hans KomenKOEPON

Second ACGG Program Management Team Meeting, Arusha, 27-28 January 2016

African Chicken Genetic Gains

Objectives

• Training and capacity building through:

• MOOC - • COURSES - • PhD project

Project team ABGC

• Hans Komen• John Bastiaansen• Dieuwertje Lont

MOOC-ABG project:Online distant learning material in the field of

Animal Breeding and Genetics

Project leader Dieuwertje Lont

Aim of the course

“Creating online learning material that teaches basic animal breeding and genetics, and making (parts of) it available for different audiences” capacity building within ACGG project

Project and partners

• Course is made by Wageningen University, Animal Breeding and Genomics Centre

• Partners contribute in providing ideas, cases and testing the materials with students

• Partners in the project:– BOKU University, Austria (Prof. Hans Soelkner)– JKUAT, Kenia (Prof. Anne Muigai)– ILRI (Dr. Julie Ojango)– Poznan University of Life Sciences, Poland (Prof. Tomasz

Szwaczkowski )

Availability

• MOOC: Massive Online Open Course• Platform: EdX (www.edx.org)

• Basic modules will be freely available• In-depth modules (mainly application) can be

made available to specific target groups

• First modules available in September 2016

Training courses

John Bastiaanse, Hans Komen, ILRI staff

4 courses: realised/planned

1: Breeding program design ILRI-Addis, 09/15

2: Fundamentals of data analysis in animal breeding

ILRI-Addis: 02/163: to be decided; 2016?

4: to be decided; 2017?

Fundamentals of data analysis and mixed linear models in animal breeding

February 29 –March 4th 2016, Addis AbabaRaphael Mrode, John Bastiaanse, Hans Komen

Outline• Teach basics of R software– data manipulation– basic statistics– Emphasis on practicals with real data

• Teach basic analysis of breeding program data– fixed and random effects – relationship matrix– Emphasis on practicals with Relax and DMU

software

Exercises and discussion of results

Freely available software• R software : https://www.r-project.org/ • Rstudio : https://www.rstudio.com/

• DMU : http://dmu.agrsci.dk/

Understanding the Effect of Environmental Background of

Poultry Breeds in Different Agro-Ecological Zones in Ethiopia

PhD project Maria Lozano Jaramillo2015-2019

Development of a sustainable poultry-breeding program that will improve chicken productivity and will benefit smallholders.

5 Sub-national zones (SNZ)

5 Districts/SBZ

15 Villages/Dist.

6 strains/village

500 HH/SNZ

25 birds/HH/SNZKuroiler-Indian breed; imported from Uganda farmKoekoek-South AfricanEMBRAPA-051-BrazilFayoumi-FranceSasso-FranceHorro-Ethiopia

Objectives1) predict the climatic suitability of different breeds across

Ethiopia’s agro-ecological zones; 2) identify the differences between breeds for performance

traits; 3) Develop/apply methodology to estimate genetic correlations

between environments when pedigree is lacking;4) Design blueprint for a breeding program for smallholder

farmers that takes into account the variability in environmental conditions.

1. Climate characterization and suitability prediction

Use the current climatic requirements of a breed to make predictions of the potential distribution of the breed

Breed occurrences

Climatic layers Current climateEcological niche

modelling

Potential distribution model

3. Design estimation of genetic correlation between environments • Simulation and genomic information– Design an experiment for the estimation of

genotype by environment interaction when pedigree is missing.

3. GxE Experiment (February 2017)

• Horro breed – Experiment to establish the magnitude of G x E

interaction by estimating the genetic correlation for production traits between two locations.

more productive chickens for Africa’s smallholders

http://africacgg.net

The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.