SlideShare une entreprise Scribd logo
1  sur  26
Rapid livestock feed assessment
   tools to support intervention
   strategies: FEAST and Techfit




Alan Duncan
FAO West Africa Regional Workshop on Crop Residues, Dakar,
10-13 December 2012
Mixed systems
Interactions between crops and
 livestock
Crop residues are substantial
 component of livestock diets
Feeding of livestock needs to take
 account of arable realities:
 competition for land, free grazing in
 off season etc.
Challenges to improved
          feed supply
Food security
Land scarcity/tenure
Markets for livestock products
Free grazing
Traction a sink for feed
The way ahead
Things are changing
  – Dwindling grazing resources forcing
    other feed sources to be considered
  – Urbanization leading to increased
    demand for livestock products
  – Improving infrastructure

  – Are we about to see things moving?
Feed interventions often
      do not work – why?
 Failure to place feed in
  broader livelihood context
                                 FEAST
 Lack of farmer design and
  ownership
 Neglect of how
  interventions fit the
  context: land, labour, cash,   Techfit
  knowledge etc
FEAST
The problem
Feed assessment
 Conventionally focuses on:
  – The feeds
  – Their nutritive value
  – Ways of improving nutritive value
 FEAST broadens assessment:
  – Is livestock an important livelihood strategy?
  – How important are feed problems relative to
    other problems?
  – What about labour, input availability, credit,
    seasonality, markets for products etc.?
How does FEAST work?
                • Overview of farming system and
                  livestock feed aspect
1. PRA          • Milk marketing, veterinary services
Exercise        • Major problems for livestock
                  production



                • Quantitative information on crop-
2.                livestock production, feed
Individual        availability, feeding rations
farmer          • Qualitative information - perception
survey            on feed quality




3. Data         • Enter data in FEAST template
analysis and    • Based on result develop ideas for
developing        intervention
interventions
PRA
 General description of farming system
   –   range of farm sizes,
   –   farm labour availability
   –   annual rainfall pattern
   –   irrigation availability
   –   types of animals raised by households.
 General description of livestock production
   – the types of animals raised (% of households raising
     these animals and average herd/flock sizes)
   – the purpose of raising these animals (e.g. draught,
     income, fattening, calf production)
   – the general animal husbandry (including; management,
     veterinary services and reproduction).
   – Ease of access to credit
   – How available are necessary inputs – plastic, urea,
     concentrates etc
 Problem identification and potential solutions
Quantitative questionnaire
   Animals – livestock inventory
   Crops - yields and areas to derive crop residue availability
   Cultivated forages – yields and areas
   Collected fodder: proportion of diet
   Purchased feed
   Grazing: proportion of diet
   Contributors to household income
   Production.
     – Milk production
     – Sale of livestock
 Seasonality.
     – Feed supply: overall seasonal availability
     – What is fed in different months?
Sample output
Contribution of livelihood activities to household income (as a
                         percentage)

                       6%
                  6%


                                            32%
                                                            Agriculture
      14%
                                                            Livestock
                                                            Remmitance
                                                            Labour
                                                            Others
                                                            Business
            20%


                                   22%
More sample output
   DM content of total diet
                                 Crop residues
                     Purchased
                                      5%
                        7%




       Naturally                      Cultivated
     occurring and                     fodder
       collected                         25%
         33%




                                   Grazing
                                    30%
Final output
Feast report with some ideas for key
 problems and solutions
Better links and understanding
 between farmers, research and
 development staff
www.ilri.org/feast
Techfit


The problem
What is your   Feed
main problem
What feed
 technologies            Planted forage
have you got?           Urea treated straw
                         Bypass protein

                OK, let’s try
                  those
A solution
Techfit
A discussion support tool for
 prioritizing feed technologies
The core concept
Key context attributes   Key technology
                           attributes
        Land                 Land

       Labour                Labour

        Credit               Credit

        Input                Input

     Knowledge             Knowledge
Matching context to
      technology
Key context       Key technology
 attributes         attributes
   Land               Land
  Labour      x       Labour       =   Score
  Credit              Credit
   Input              Input
Knowledge           Knowledge
Technology filter

                                                  Score the pre-selected technologies based on the requirement, availability and scope for
         III.                                                            improvement of five technology attributes
                   Pre-select the obvious
 TECHNOLOGY       (5-6)             based                                                                                                    Scope for
       FILTER                                                                                                               Attribute 5:     improve
                   on context relevance         Attribute 1:       Attribute 2:       Attribute 3:       Attribute 4:
  (Technology                                                                                                               Knowledge         ment of
                    and impact potential           Land              Labour           Cash /credit      Input delivery                       attribute
    options to                                                                                                                 /skill
                                                                                                                                                 s
      address                                                                                                                                            Total
                   Context Impact         Total  Requ   Avail    Requ      Avail     Requ      Avail     Requ      Avail     Requ      Avail Score 1-5
     quantity,                                                                                                                                           Score
                  relevanc potential score Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 (1 for
      quality,    e (score 1- (score 1- (context (1 for (1 for   (1 for    (1 for    (1 for    (1 for    (1 for    (1 for    (1 for    (1 for less and
   seasonality      6; low- 6; low- X impact) more;     less;   more;      less;     high;     less;     high;     less;     high;     less;    5 for
      issues)       high))      high)            3 for  3 for    3 for     3 for 3 for low) 3 for 3 for low) 3 for 3 for low) 3 for            more)
                                                 less)  more)    less)    more)               more)               more)               more)

Urea treatment
                     2         3        6         3                  2                  2                  2                  2                            0
of straw
Supplement with
                     2         5       10         3        3         3        2         1        1         1        1         3        1         2        22
UMMB
By-pass protein
                     1         3        3         3                  3                  1                  1                  3                            0
feed
Feed
conservation
                     4         3       12         3        3         2        2         3        3         3        3         3        3         1        41
(surplus)
(HAY)
etc
etc
Cost-benefit assessment
What does the technology cost?
  – Inputs, labour, land etc?
What does the technology deliver?
  – Enhanced milk yield, improved
    reproductive performance, better growth
    etc
Does it make sense?
Final output
Ideas for some promising feed
 interventions that might work
Better understanding of why the
 usual suspects often don’t work.
Links
http://fodderadoption.wordpress.com/
 techfit/

http://fodderadoption.wordpress.com/
 feast/

Contenu connexe

Similaire à Rapid livestock feed assessment tools to support intervention strategies: FEAST and Techfit

TechFit: A tool for prioritizing feed technologies
TechFit: A tool for prioritizing feed technologies TechFit: A tool for prioritizing feed technologies
TechFit: A tool for prioritizing feed technologies africa-rising
 
13 Aug, 2010 Karnal CSISA Presentation
13 Aug, 2010 Karnal CSISA Presentation13 Aug, 2010 Karnal CSISA Presentation
13 Aug, 2010 Karnal CSISA PresentationCSISA
 
Caadp cgiar alignment-sept_16th_ver3
Caadp cgiar alignment-sept_16th_ver3Caadp cgiar alignment-sept_16th_ver3
Caadp cgiar alignment-sept_16th_ver3mcomanescu
 
Caadp cgiar alignment-sept_16th_ver4 (3)
Caadp cgiar alignment-sept_16th_ver4 (3)Caadp cgiar alignment-sept_16th_ver4 (3)
Caadp cgiar alignment-sept_16th_ver4 (3)mcomanescu
 
Update on pig value chain development in Vietnam
Update on pig value chain development in VietnamUpdate on pig value chain development in Vietnam
Update on pig value chain development in VietnamILRI
 
Can corporate farms provide new pathways to improve profitability and product...
Can corporate farms provide new pathways to improve profitability and product...Can corporate farms provide new pathways to improve profitability and product...
Can corporate farms provide new pathways to improve profitability and product...Joanna Hicks
 
ILRI Ethiopia goat and chicken projects: Potential synergies with LIVES
ILRI Ethiopia goat and chicken projects: Potential synergies with LIVESILRI Ethiopia goat and chicken projects: Potential synergies with LIVES
ILRI Ethiopia goat and chicken projects: Potential synergies with LIVESILRI
 
GIS for Economic Development - Incorporating Economic and Census Data into Ge...
GIS for Economic Development - Incorporating Economic and Census Data into Ge...GIS for Economic Development - Incorporating Economic and Census Data into Ge...
GIS for Economic Development - Incorporating Economic and Census Data into Ge...Wisconsin Land Information Association
 
Nov 05 2010 CSISA IRRI SSD Thelma Paris
Nov 05 2010 CSISA IRRI SSD Thelma ParisNov 05 2010 CSISA IRRI SSD Thelma Paris
Nov 05 2010 CSISA IRRI SSD Thelma ParisCSISA
 
Update on sheep meat value chain development in Ethiopia
Update on sheep meat value chain development in EthiopiaUpdate on sheep meat value chain development in Ethiopia
Update on sheep meat value chain development in EthiopiaILRI
 
Match management
Match managementMatch management
Match managementmaggie4667
 
Update on pig value chain development in Vietnam
Update on pig value chain development in VietnamUpdate on pig value chain development in Vietnam
Update on pig value chain development in VietnamILRI
 

Similaire à Rapid livestock feed assessment tools to support intervention strategies: FEAST and Techfit (20)

TechFit: A tool for prioritizing feed technologies
TechFit: A tool for prioritizing feed technologies TechFit: A tool for prioritizing feed technologies
TechFit: A tool for prioritizing feed technologies
 
13 Aug, 2010 Karnal CSISA Presentation
13 Aug, 2010 Karnal CSISA Presentation13 Aug, 2010 Karnal CSISA Presentation
13 Aug, 2010 Karnal CSISA Presentation
 
Caadp cgiar alignment-sept_16th_ver3
Caadp cgiar alignment-sept_16th_ver3Caadp cgiar alignment-sept_16th_ver3
Caadp cgiar alignment-sept_16th_ver3
 
Caadp cgiar alignment-sept_16th_ver4 (3)
Caadp cgiar alignment-sept_16th_ver4 (3)Caadp cgiar alignment-sept_16th_ver4 (3)
Caadp cgiar alignment-sept_16th_ver4 (3)
 
Update on pig value chain development in Vietnam
Update on pig value chain development in VietnamUpdate on pig value chain development in Vietnam
Update on pig value chain development in Vietnam
 
Livestock feed feasibility mapping in East Africa – a scoping study
Livestock feed feasibility mapping in East Africa – a scoping studyLivestock feed feasibility mapping in East Africa – a scoping study
Livestock feed feasibility mapping in East Africa – a scoping study
 
MELE: Overview
MELE: OverviewMELE: Overview
MELE: Overview
 
Can corporate farms provide new pathways to improve profitability and product...
Can corporate farms provide new pathways to improve profitability and product...Can corporate farms provide new pathways to improve profitability and product...
Can corporate farms provide new pathways to improve profitability and product...
 
ILRI Ethiopia goat and chicken projects: Potential synergies with LIVES
ILRI Ethiopia goat and chicken projects: Potential synergies with LIVESILRI Ethiopia goat and chicken projects: Potential synergies with LIVES
ILRI Ethiopia goat and chicken projects: Potential synergies with LIVES
 
GIS for Economic Development - Incorporating Economic and Census Data into Ge...
GIS for Economic Development - Incorporating Economic and Census Data into Ge...GIS for Economic Development - Incorporating Economic and Census Data into Ge...
GIS for Economic Development - Incorporating Economic and Census Data into Ge...
 
Nov 05 2010 CSISA IRRI SSD Thelma Paris
Nov 05 2010 CSISA IRRI SSD Thelma ParisNov 05 2010 CSISA IRRI SSD Thelma Paris
Nov 05 2010 CSISA IRRI SSD Thelma Paris
 
SDVC Case Study: M&E Presentation for CARE Webinar #1
SDVC Case Study: M&E Presentation for CARE Webinar #1SDVC Case Study: M&E Presentation for CARE Webinar #1
SDVC Case Study: M&E Presentation for CARE Webinar #1
 
RTB at IITA - Background
RTB at IITA - BackgroundRTB at IITA - Background
RTB at IITA - Background
 
Project design and management contributions to improve IITA’s Research for De...
Project design and management contributions to improve IITA’s Research for De...Project design and management contributions to improve IITA’s Research for De...
Project design and management contributions to improve IITA’s Research for De...
 
Update on sheep meat value chain development in Ethiopia
Update on sheep meat value chain development in EthiopiaUpdate on sheep meat value chain development in Ethiopia
Update on sheep meat value chain development in Ethiopia
 
Match management
Match managementMatch management
Match management
 
CCAFS Science Meeting A.2 Jerry Nelson - Global futures
CCAFS Science Meeting A.2 Jerry Nelson - Global futuresCCAFS Science Meeting A.2 Jerry Nelson - Global futures
CCAFS Science Meeting A.2 Jerry Nelson - Global futures
 
V2 PAR PROCESS: GHANA AND BURKINA FASO
V2 PAR PROCESS: GHANA AND BURKINA FASOV2 PAR PROCESS: GHANA AND BURKINA FASO
V2 PAR PROCESS: GHANA AND BURKINA FASO
 
Research Prioritization, IDOs, and the Post-2015 Sustainable Development Agen...
Research Prioritization, IDOs, and the Post-2015 Sustainable Development Agen...Research Prioritization, IDOs, and the Post-2015 Sustainable Development Agen...
Research Prioritization, IDOs, and the Post-2015 Sustainable Development Agen...
 
Update on pig value chain development in Vietnam
Update on pig value chain development in VietnamUpdate on pig value chain development in Vietnam
Update on pig value chain development in Vietnam
 

Plus de ILRI

How the small-scale low biosecurity sector could be transformed into a more b...
How the small-scale low biosecurity sector could be transformed into a more b...How the small-scale low biosecurity sector could be transformed into a more b...
How the small-scale low biosecurity sector could be transformed into a more b...ILRI
 
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
 
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
 
A training, certification and marketing scheme for informal dairy vendors in ...
A training, certification and marketing scheme for informal dairy vendors in ...A training, certification and marketing scheme for informal dairy vendors in ...
A training, certification and marketing scheme for informal dairy vendors in ...ILRI
 
Milk safety and child nutrition impacts of the MoreMilk training, certificati...
Milk safety and child nutrition impacts of the MoreMilk training, certificati...Milk safety and child nutrition impacts of the MoreMilk training, certificati...
Milk safety and child nutrition impacts of the MoreMilk training, certificati...ILRI
 
Preventing the next pandemic: a 12-slide primer on emerging zoonotic diseases
Preventing the next pandemic: a 12-slide primer on emerging zoonotic diseasesPreventing the next pandemic: a 12-slide primer on emerging zoonotic diseases
Preventing the next pandemic: a 12-slide primer on emerging zoonotic diseasesILRI
 
Preventing preventable diseases: a 12-slide primer on foodborne disease
Preventing preventable diseases: a 12-slide primer on foodborne diseasePreventing preventable diseases: a 12-slide primer on foodborne disease
Preventing preventable diseases: a 12-slide primer on foodborne diseaseILRI
 
Preventing a post-antibiotic era: a 12-slide primer on antimicrobial resistance
Preventing a post-antibiotic era: a 12-slide primer on antimicrobial resistancePreventing a post-antibiotic era: a 12-slide primer on antimicrobial resistance
Preventing a post-antibiotic era: a 12-slide primer on antimicrobial resistanceILRI
 
Food safety research in low- and middle-income countries
Food safety research in low- and middle-income countriesFood safety research in low- and middle-income countries
Food safety research in low- and middle-income countriesILRI
 
Food safety research LMIC
Food safety research LMICFood safety research LMIC
Food safety research LMICILRI
 
The application of One Health: Observations from eastern and southern Africa
The application of One Health: Observations from eastern and southern AfricaThe application of One Health: Observations from eastern and southern Africa
The application of One Health: Observations from eastern and southern AfricaILRI
 
One Health in action: Perspectives from 10 years in the field
One Health in action: Perspectives from 10 years in the fieldOne Health in action: Perspectives from 10 years in the field
One Health in action: Perspectives from 10 years in the fieldILRI
 
Reservoirs of pathogenic Leptospira species in Uganda
Reservoirs of pathogenic Leptospira species in UgandaReservoirs of pathogenic Leptospira species in Uganda
Reservoirs of pathogenic Leptospira species in UgandaILRI
 
Minyoo ya mbwa
Minyoo ya mbwaMinyoo ya mbwa
Minyoo ya mbwaILRI
 
Parasites in dogs
Parasites in dogsParasites in dogs
Parasites in dogsILRI
 
Assessing meat microbiological safety and associated handling practices in bu...
Assessing meat microbiological safety and associated handling practices in bu...Assessing meat microbiological safety and associated handling practices in bu...
Assessing meat microbiological safety and associated handling practices in bu...ILRI
 
Ecological factors associated with abundance and distribution of mosquito vec...
Ecological factors associated with abundance and distribution of mosquito vec...Ecological factors associated with abundance and distribution of mosquito vec...
Ecological factors associated with abundance and distribution of mosquito vec...ILRI
 
Livestock in the agrifood systems transformation
Livestock in the agrifood systems transformationLivestock in the agrifood systems transformation
Livestock in the agrifood systems transformationILRI
 
Development of a fluorescent RBL reporter system for diagnosis of porcine cys...
Development of a fluorescent RBL reporter system for diagnosis of porcine cys...Development of a fluorescent RBL reporter system for diagnosis of porcine cys...
Development of a fluorescent RBL reporter system for diagnosis of porcine cys...ILRI
 
Practices and drivers of antibiotic use in Kenyan smallholder dairy farms
Practices and drivers of antibiotic use in Kenyan smallholder dairy farmsPractices and drivers of antibiotic use in Kenyan smallholder dairy farms
Practices and drivers of antibiotic use in Kenyan smallholder dairy farmsILRI
 

Plus de ILRI (20)

How the small-scale low biosecurity sector could be transformed into a more b...
How the small-scale low biosecurity sector could be transformed into a more b...How the small-scale low biosecurity sector could be transformed into a more b...
How the small-scale low biosecurity sector could be transformed into a more b...
 
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
 
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...
 
A training, certification and marketing scheme for informal dairy vendors in ...
A training, certification and marketing scheme for informal dairy vendors in ...A training, certification and marketing scheme for informal dairy vendors in ...
A training, certification and marketing scheme for informal dairy vendors in ...
 
Milk safety and child nutrition impacts of the MoreMilk training, certificati...
Milk safety and child nutrition impacts of the MoreMilk training, certificati...Milk safety and child nutrition impacts of the MoreMilk training, certificati...
Milk safety and child nutrition impacts of the MoreMilk training, certificati...
 
Preventing the next pandemic: a 12-slide primer on emerging zoonotic diseases
Preventing the next pandemic: a 12-slide primer on emerging zoonotic diseasesPreventing the next pandemic: a 12-slide primer on emerging zoonotic diseases
Preventing the next pandemic: a 12-slide primer on emerging zoonotic diseases
 
Preventing preventable diseases: a 12-slide primer on foodborne disease
Preventing preventable diseases: a 12-slide primer on foodborne diseasePreventing preventable diseases: a 12-slide primer on foodborne disease
Preventing preventable diseases: a 12-slide primer on foodborne disease
 
Preventing a post-antibiotic era: a 12-slide primer on antimicrobial resistance
Preventing a post-antibiotic era: a 12-slide primer on antimicrobial resistancePreventing a post-antibiotic era: a 12-slide primer on antimicrobial resistance
Preventing a post-antibiotic era: a 12-slide primer on antimicrobial resistance
 
Food safety research in low- and middle-income countries
Food safety research in low- and middle-income countriesFood safety research in low- and middle-income countries
Food safety research in low- and middle-income countries
 
Food safety research LMIC
Food safety research LMICFood safety research LMIC
Food safety research LMIC
 
The application of One Health: Observations from eastern and southern Africa
The application of One Health: Observations from eastern and southern AfricaThe application of One Health: Observations from eastern and southern Africa
The application of One Health: Observations from eastern and southern Africa
 
One Health in action: Perspectives from 10 years in the field
One Health in action: Perspectives from 10 years in the fieldOne Health in action: Perspectives from 10 years in the field
One Health in action: Perspectives from 10 years in the field
 
Reservoirs of pathogenic Leptospira species in Uganda
Reservoirs of pathogenic Leptospira species in UgandaReservoirs of pathogenic Leptospira species in Uganda
Reservoirs of pathogenic Leptospira species in Uganda
 
Minyoo ya mbwa
Minyoo ya mbwaMinyoo ya mbwa
Minyoo ya mbwa
 
Parasites in dogs
Parasites in dogsParasites in dogs
Parasites in dogs
 
Assessing meat microbiological safety and associated handling practices in bu...
Assessing meat microbiological safety and associated handling practices in bu...Assessing meat microbiological safety and associated handling practices in bu...
Assessing meat microbiological safety and associated handling practices in bu...
 
Ecological factors associated with abundance and distribution of mosquito vec...
Ecological factors associated with abundance and distribution of mosquito vec...Ecological factors associated with abundance and distribution of mosquito vec...
Ecological factors associated with abundance and distribution of mosquito vec...
 
Livestock in the agrifood systems transformation
Livestock in the agrifood systems transformationLivestock in the agrifood systems transformation
Livestock in the agrifood systems transformation
 
Development of a fluorescent RBL reporter system for diagnosis of porcine cys...
Development of a fluorescent RBL reporter system for diagnosis of porcine cys...Development of a fluorescent RBL reporter system for diagnosis of porcine cys...
Development of a fluorescent RBL reporter system for diagnosis of porcine cys...
 
Practices and drivers of antibiotic use in Kenyan smallholder dairy farms
Practices and drivers of antibiotic use in Kenyan smallholder dairy farmsPractices and drivers of antibiotic use in Kenyan smallholder dairy farms
Practices and drivers of antibiotic use in Kenyan smallholder dairy farms
 

Dernier

Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 

Dernier (20)

Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 

Rapid livestock feed assessment tools to support intervention strategies: FEAST and Techfit

  • 1. Rapid livestock feed assessment tools to support intervention strategies: FEAST and Techfit Alan Duncan FAO West Africa Regional Workshop on Crop Residues, Dakar, 10-13 December 2012
  • 2. Mixed systems Interactions between crops and livestock Crop residues are substantial component of livestock diets Feeding of livestock needs to take account of arable realities: competition for land, free grazing in off season etc.
  • 3. Challenges to improved feed supply Food security Land scarcity/tenure Markets for livestock products Free grazing Traction a sink for feed
  • 4. The way ahead Things are changing – Dwindling grazing resources forcing other feed sources to be considered – Urbanization leading to increased demand for livestock products – Improving infrastructure – Are we about to see things moving?
  • 5. Feed interventions often do not work – why?  Failure to place feed in broader livelihood context FEAST  Lack of farmer design and ownership  Neglect of how interventions fit the context: land, labour, cash, Techfit knowledge etc
  • 7. Feed assessment  Conventionally focuses on: – The feeds – Their nutritive value – Ways of improving nutritive value  FEAST broadens assessment: – Is livestock an important livelihood strategy? – How important are feed problems relative to other problems? – What about labour, input availability, credit, seasonality, markets for products etc.?
  • 8. How does FEAST work? • Overview of farming system and livestock feed aspect 1. PRA • Milk marketing, veterinary services Exercise • Major problems for livestock production • Quantitative information on crop- 2. livestock production, feed Individual availability, feeding rations farmer • Qualitative information - perception survey on feed quality 3. Data • Enter data in FEAST template analysis and • Based on result develop ideas for developing intervention interventions
  • 9. PRA  General description of farming system – range of farm sizes, – farm labour availability – annual rainfall pattern – irrigation availability – types of animals raised by households.  General description of livestock production – the types of animals raised (% of households raising these animals and average herd/flock sizes) – the purpose of raising these animals (e.g. draught, income, fattening, calf production) – the general animal husbandry (including; management, veterinary services and reproduction). – Ease of access to credit – How available are necessary inputs – plastic, urea, concentrates etc  Problem identification and potential solutions
  • 10. Quantitative questionnaire  Animals – livestock inventory  Crops - yields and areas to derive crop residue availability  Cultivated forages – yields and areas  Collected fodder: proportion of diet  Purchased feed  Grazing: proportion of diet  Contributors to household income  Production. – Milk production – Sale of livestock  Seasonality. – Feed supply: overall seasonal availability – What is fed in different months?
  • 11.
  • 12. Sample output Contribution of livelihood activities to household income (as a percentage) 6% 6% 32% Agriculture 14% Livestock Remmitance Labour Others Business 20% 22%
  • 13. More sample output DM content of total diet Crop residues Purchased 5% 7% Naturally Cultivated occurring and fodder collected 25% 33% Grazing 30%
  • 14. Final output Feast report with some ideas for key problems and solutions Better links and understanding between farmers, research and development staff
  • 17. What is your Feed main problem
  • 18. What feed technologies Planted forage have you got? Urea treated straw Bypass protein OK, let’s try those
  • 20. Techfit A discussion support tool for prioritizing feed technologies
  • 21. The core concept Key context attributes Key technology attributes Land Land Labour Labour Credit Credit Input Input Knowledge Knowledge
  • 22. Matching context to technology Key context Key technology attributes attributes Land Land Labour x Labour = Score Credit Credit Input Input Knowledge Knowledge
  • 23. Technology filter Score the pre-selected technologies based on the requirement, availability and scope for III. improvement of five technology attributes Pre-select the obvious TECHNOLOGY (5-6) based Scope for FILTER Attribute 5: improve on context relevance Attribute 1: Attribute 2: Attribute 3: Attribute 4: (Technology Knowledge ment of and impact potential Land Labour Cash /credit Input delivery attribute options to /skill s address Total Context Impact Total Requ Avail Requ Avail Requ Avail Requ Avail Requ Avail Score 1-5 quantity, Score relevanc potential score Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 Score 1-3 (1 for quality, e (score 1- (score 1- (context (1 for (1 for (1 for (1 for (1 for (1 for (1 for (1 for (1 for (1 for less and seasonality 6; low- 6; low- X impact) more; less; more; less; high; less; high; less; high; less; 5 for issues) high)) high) 3 for 3 for 3 for 3 for 3 for low) 3 for 3 for low) 3 for 3 for low) 3 for more) less) more) less) more) more) more) more) Urea treatment 2 3 6 3 2 2 2 2 0 of straw Supplement with 2 5 10 3 3 3 2 1 1 1 1 3 1 2 22 UMMB By-pass protein 1 3 3 3 3 1 1 3 0 feed Feed conservation 4 3 12 3 3 2 2 3 3 3 3 3 3 1 41 (surplus) (HAY) etc etc
  • 24. Cost-benefit assessment What does the technology cost? – Inputs, labour, land etc? What does the technology deliver? – Enhanced milk yield, improved reproductive performance, better growth etc Does it make sense?
  • 25. Final output Ideas for some promising feed interventions that might work Better understanding of why the usual suspects often don’t work.