acgg/koepon—our role in the program
TRANSCRIPT
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.