Day 1
Improvables
  • Improve/update tablets, GPS
  • Choose network providers with large coverage and efficient
  • Refine protocol for onfarm and onstation (design, replication in different stages of bird growth
  • Timely disbursement of funds/payment of enumerators
  • Language, political and cultural challenges
  • Ensure adequate women representation
  • Project perceived to be moving too slowly in Nigeria
  • Duration of sub national IPs wasn’t enough in Tz
  • Poor response from financial institutions in TZ and Ethiopia
  • Pending DSAs reduced momentum
  • Amharic forms need to be cross checked with English
  • Communication on plans
  • Monthly monitoring system.

What worked well:
  • ODK Real time data collection translated well, which increases data quality
  • ILRI team support was helpful
  • Protocols for baselining and longitudinal are helpful
  • Pre testing was helpful
  • Personal training of SNCs and enumerators
  • Transport of trained enumerators and farmers
  • Tablets battery life and allow closer monitoring
  • Length of training was good
  • Surplus enumerators
  • Localization of tools
  • Identification of task team leaders done well
  • Active stakeholder participation
  • Good support from government
  • Excellent participation of platforms
  • Innovation communication at the sub national level: whatsapp group

Preparation on station: Ethiopia
  • Hatching facility is ready
  • Partners identified for brooding
Tanzania:
  • Hatching and delivery is ready
  • Brooding on progress
Lessons:
  • ODK was efficient
  • Locating enumerators (no mischief)
  • Real time reporting
  • Nigeria:
  • Risk of diseases on imported birds, labour, feed
  • Preparations not done- finance sought from ACGG Nigeria (FUUNAB) only 1,000 birds can be accommodated.
  • Tanzania:
  • On station sites ready for on farm engagement with private sector on progress of hatching, brooding and vaccination. Brooding will be for 42 days
  • Tanzania: Brooding will be 21 days
  • Tanzania and Nigeria identified needs for: vaccination, NCD, Fowl pox, Marek’s and Gumbora for on farm.
What worked well:
  • ODK real time data collection
  • ODK improves data quality
Lessons:
  • ODK was efficient
  • Locating enumerators (no mischief)
  • Real time reporting
What worked well:
  • ODK worked
  • Training SNCs together with enumerators
  • Pre-testing helped
  • ILRI team support was helpful
  • Protocol for baseline and longitudinal are useful
Improvables
  • Ensure faster finance transfer to countries
Lessons: Nigeria:
  • Risk of disease for imported birds, labour, feed
  • Preparations not done. Finance sought from ACGG Nigeria. Only 1,000 birds can be accommodated
  • Tanzania: on station sites ready for on farm engagements with private sector on progress: hatching, brooding and vaccination
  • Nigeria: brooding for 42 days
  • Tanzania: Brooding for 21 days
  • Tanzania and Nigeria: identified needs for vaccination against: NCD, Fowl pox, Marek’s, Gumbora for on farm
  • How do we benefit from graduate students
What worked well:
  • Localization of tools
  • Use of tablets and ODK
  • Prompt implementation in field
  • Including SNC fully in training (TOT)
Improvables:
  • Data collection too short
  • Payment of enumerators
  • Language challenges (if single respondents)
  • Cultural issues to interview the ‘right person’
  • Political environment challenge e.g elections in Nigeria south militia
  • Getting the data for analysis. Also in field review
Improvables:
  • Data access-timeliness for field analysis
  • Money release to Nigeria
  • Tablets network (on farm thinking for villages)
  • Tablet touch insensitivity
Improvables
  • Pre-sensitization
  • Logistics (transport,accommodation)
  • Uploading/sending data (network issues)
  • Tablet touch sensitivity for on farm
What worked:
  • Questionnaire tool
  • ODK tool
  • Tablet use and battery life
  • Training
  • Surplus trained enumerators
What worked:
  • Trainng on tool questionnaire and ODK
  • Tablets
  • Pre-testing and training in the field team support
  • Transportation/mobilization of enumerators and farmers
  • Surplus enumerators
Improvables:
  • Monthly monitoring system
  • Data collection team can monitor/feedback loop
Improvables:
  • Network issues in no of villages
  • Issue sending data (poor connectivity)
  • Technical issues with % of tablets (battery, GPS)
What worked well:
  • GPS works well
  • Use of tablets efficient, exciting,easier compared to paper
  • Battery worked well
  • High quality training (timing)
  • SNC prepared to train after training
What worked well:
  • ODK translated well
What worked well:
  • Device worked well
  • Data entry smooth
  • SNC/NPC able to resolve training tech issues
  • With power bank, battery worked well
  • Liked phasing/organization of training
  • Language issue managed well in training
What worked well:
  • Tablets
  • Tablet allows for closer monitoring
  • Improved connectivity enables monitoring
  • GPS monitoring
  • Length of training is good
  • Tablet on station is welcome
  • SNC and NPC well trained
What worked well:
  • ODK design
  • Monitoring: no time lag with versions
  • Surplus tablets
  • Personal training
  • Friendly trainers
  • Good tech support
  • ILRI clean data/national teams monitor
  • NPC and SNC well trained
Improvables:
  • Follow up on issues/tasks
  • Pending DSAs reduced momentum
  • Ensuring adequate women representation
  • Poor response from financial institutions-TZ and Ethiopia
  • Project perceived to be moving too slowly –Nigeria
  • Duration of sub national IP wasn’t enough-Tz
  • Identification of participants needs to be more inclusive-bring in more stakeholders
What worked well:
  • Identification of task team leaders done well
  • Active stakeholders participation at IP
  • Leaders of subnational IPs are real champions-inspired and ready to ensure sustainability of platform. TZ
  • Good support from government in Tanzania
  • Innovative communication at the national and sub national level (whatsapp group for IP members in Tz
Improvables:
  • Pretest language barriers
  • Locating HHs with GPS
  • Delay in baseline
  • Question: when and how and who is the baseline to be analysed
Improvables:
  • Devices had sensitivity issues
  • Electricity issue
  • Connectivity issue
  • Tablets can be distracting
Improvables:
  • Daily monitoring feedback
  • GPS improvements
  • New staff need full training
  • Improve system or country to have servers

Preparation (OFT/OST)
  • Tz, Nigeria and Ethiopia: need for sensitization (household heads, village leaders, experts, religious leaders.
  • Nigeria: preparations to start after the PMT:
  • Hatching. Brooding, vaccination and sensitization
Reflection:
  • Ethiopian team: make the program a viable proposition to the private sector and engage the public sector with contextualized approach by scoping visit, sharing experience from elsewhere

DAY2:
Likability/preferences:
  • Definition: preference has a mileage
  • Traits:
  • Body size
  • Growth rate
  • Supplemental feed requirement
  • Scavenging ability
  • Feed requirement
  • Disease tolerance
  • Egg number
  • Plumage colour
Group 4:
  • Definition accepted
  • Egg yolk colour
  • Change egg weight with egg size (include small, medium and large)
  • Likability disaggregate by sex: for male early in the study for female late in the study
  • Modification of the likability: which breed do you prefer? Local/exotic; why? Looks, behaviour, eggs production, disease
Tanzania team:
  • Setting up functional country level servers and systems
  • Given the remaining period, is it possible to design and develop and test in 2 months?
  • Who is going to be trained? (statisticians, social economists?)

Auto system:
  • Do you throw away raw data?
  • What happens to outliers?
  • Three data sets: raw data, raw data-flagged, cleaned data
  • Servers: physical-cloud
  • Trainings timeline
Nigeria:
  • Farmers to be incentivized to help in the identification of breed preferences, including phenotypic characteristics e.g. colour
  • Animate farmers to see themselves as researchers, contributing towards evaluation of options (genetics/strains) in community research networks.
Plenary:
  • What do you mean by meat quality? Is it traits, palatability, body size
  • Consider openness in the questionnaire
  • Resist from using the word disease resistant birds; instead say survival.
  • Consider your audience when communicating
  • Take into account individual farmer preference, traders preference and consumer preference

ACGG Tanzania facilitations achieved so far:
  1. Attended training in Addis in June
  2. 1st PMT meeting in June
  3. Project launch successfully done
  4. Village scoping/selection of research sites
  5. Recruit training animators
  6. Zonal innovation platforms established
  7. Has done community sensitization
  8. Rehabilitated houses at Sokoine and Narienda completed
  9. Engagements with private sector to share information
  10. Finalizing drafting of contracts with local service providers
  11. 5 researchers attended course in breeding and genetics
  12. Advertised PHD programmes; received applications and only one woman applied.
Plans are in place to have one enumerator for every 2 villages. The project will buy motorcycles for easy transport. Plans are underway to develop MOU with the DEO to involve extension officers who will sign to commit their time to the project and will be reporting daily.
Advise: factor frequency of data collection and ratio of enumerators to households, enumerators to be trained on gender sensitization in both extensive and intensive areas. Remember to be specific on who is responsible and indicate the dates.
Opportunity for the project: 10 hatching, 8 brooding and 2 transporting companies interested in working with the project.
Not yet done: farmer selection