acgg/koepon—our role in the program
TRANSCRIPT
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ACGG/KOEPON—Our role in program
Hans KomenKOEPON
Second ACGG Program Management Team Meeting, Arusha, 27-28 January 2016
African Chicken Genetic Gains
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Objectives
• Training and capacity building through:
• MOOC - • COURSES - • PhD project
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Project team ABGC
• Hans Komen• John Bastiaansen• Dieuwertje Lont
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MOOC-ABG project:Online distant learning material in the field of
Animal Breeding and Genetics
Project leader Dieuwertje Lont
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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
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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 )
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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
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Training courses
John Bastiaanse, Hans Komen, ILRI staff
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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?
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Fundamentals of data analysis and mixed linear models in animal breeding
February 29 –March 4th 2016, Addis AbabaRaphael Mrode, John Bastiaanse, Hans Komen
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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
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Exercises and discussion of results
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Freely available software• R software : https://www.r-project.org/ • Rstudio : https://www.rstudio.com/
• DMU : http://dmu.agrsci.dk/
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Understanding the Effect of Environmental Background of
Poultry Breeds in Different Agro-Ecological Zones in Ethiopia
PhD project Maria Lozano Jaramillo2015-2019
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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
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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.
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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
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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.
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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.
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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.