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Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
Kuehne adoptability tool 22 june
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Kuehne adoptability tool 22 june

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  • 1. Evaluating and improving adoptability of new f d t bilit f farming i practices: The adoptability tool Rick Llewellyn, Geoff Kuehne y ,
  • 2. Aim PREDICT - Producing a model-based tool and process to p predict likely rate and level of adoption for specific y p p practices and inform R,D & E strategies. INFORM - Making adoptability knowledge and considerations readily available, understandable and available applicable for R, D & E managers and practitioners. ENGAGE - Collaborating with projects to assist with development of adoptable technology packages
  • 3. Who is involved? FTE Researchers Geoff Kuehne (CSIRO) ( ) 0.95 Rick Llewellyn (CSIRO) 0.20 Perry Dolling (DAFWA) 0.10 David Pannell (UWA) 0.05 Roger Wilkinson (VicDPI) 0.05 Allan Curtis (CSU) 0.05 Diana Federenko (DAFWA) 0.10
  • 4. Progress • Started April last year • Concept version produced and tested with potential end-users (09-10) • V i 2 b ilt (J Version built (June 2010) • Use of version 2 in CRC projects (2010) • Validated version of tool due mid 2011
  • 5. Testing T ti • Concept tested as part of the GRDC Grain & Graze 2 program development p g p • Used by GRDC project coordinators in 5 regions (agronomists, consultants, (agronomists consultants farmer groups) • Post-use evaluation with project coordinators and funders (2 GRDC program managers)
  • 6. So h t is S what i it? 5 Pages data entry g y 22 Questions
  • 7. Example Innovation trialability: To what extent can a farmer trial the innovation on their farm before deciding to invest in full adoption? 1. Not trialable at all 5. Very easily trialable
  • 8. What does it generate? Ad De opt s the criptio a bi Inn on o ova tion f lity Re 9 0% por De s En t for the cripti Po o pul n of te r te xt h - En 8 0% atio e re.. . n ter 7 0% te xt h En t er te ere 6 0% Ad opt xt h e re.. ... Level of P k adoption L l f Peak d ti ion .. Pe S a Lev k Ado peed el ptio 5 0% n The Yea abo r s to v Pe 4 0% Lea cha rnabil ep At th ak Ad it red is ti op tion of p racte y opu ristic ictio me the cou ld b 3 0% latio s ns Pe ak ee xpe Gr oup n are Lev el o cte d to  Inv olv em b ase f Ad opti be ent on 2 0% Adv isor Ente r an d on cou ld b #N y su ppo rt yo the r co th e fo e AM E? mm 1 0% Exis t ents here llow #N AM ing  loc al  ... ing E? aw are Re aso Am info Rele van nes s an d k nin g fo ajorit r an y rma tion 0% t Ex now swe are in istin 1 9 7 4 1 9 7 5 1 9 7 6 1 9 7 7 1 9 7 8 1 9 7 9 1 9 8 0 1 9 8 1 1 9 8 2 1 9 8 3 1 9 8 4 1 9 8 5 1 9 8 6 1 9 8 7 1 9 8 8 1 9 8 9 1 9 9 0 1 9 9 1 1 9 9 2 1 9 9 3 1 9 9 4 1 9 9 5 1 9 9 6 1 9 9 7 1 9 9 8 1 9 9 9 2 00 0 2 0 01 2 002 2 0 03 2 0 04 2 0 05 2 00 6 2 00 7 2 00 8 led Re r... volv g Sk ills & ge aso nin Am ed wit tha Year Le a  Kn ow g fo inorit r an yu ha gro t you cha rnabil led ge swe se up of inra cte ity Re aso Alm r... an adv ent Tria nova tics ris nin g fo ost a iso r e re lab tion r an ll a d: Years to Peak adoption le swe re a Re r... wa aso Ab . re nin o tha Inn g fo ut ha t it ova r an lf has t ion Ente swe will n bee nu  Co r an r... eed sed mp yo new or Obs lexit the skil tria y r co ls a led erv mm nd in t abil ents kno heir ity here wle dis Re ... dg tric aso Mo e t Re nin der la g fo a adv tive r an tely tr swe inn antag iala Re r... ble ova e aso Wil tion for nin g fo l invo lv r an Ado ptio swe e slig Re r... htl n C aso Ve yc ost nin r om g fo y eas ple xc Ente r an ily han r an swe obse ges yo r... rva the ble r co mm ents here ... Re aso L nin arge g fo in r an itial swe inv r... estm ent
  • 9. Concept Population Technology Information-learning Actual advantage
  • 10. Influence Diagram
  • 11. Evaluation f E l ti of preliminary t l li i tool • 6 Grain & Graze 2 regions • Used by GRDC project coordinators in 5 regions (agronomists, consultants, farmer groups, State agency) • P t Post-use evaluation with project l ti ith j t coordinators and funders (2 GRDC p g program managers) g )
  • 12. Examples of the 32 practice changes: Low labour sheep breeds Pasture cropping Twin sowing of annual legumes Lucerne establishment/termination practices Stubble management practices Separate crop & grazing land Permanent pasture areas Forage crops Perennial options
  • 13. Feedback • The rate of adoption calculated was often really slow – depressing! Even fast was 5 to 10 years. It shows good reasoning why it would be slow.... • There would be some valuable learning to be gained if people could appreciate the reasoning behind the question, based on extension theory. • The useful bit was that it made you think why, especially when the results were slower than we anticipated. This did prompt us to go back and question things things. • It has great potential to be used as a learning tool for extension, extension both public and private - It could be used as a training opportunity.
  • 14. • It is simple to use and didn’t take hours and hours to do • I reckon this tool has great potential to improve our extension effort If effort. we can make show which attributes are positive for change and which are holding us back, we should be able to actively address both of them. • It could be used to evaluate projects to invest in – or it could be used with advisors, farming systems groups, NRM groups, and individual farmers t understand th process. i di id l f to d t d the
  • 15. Where to from here • Small group sessions with local CRC project teams – adoptability reports – Wagga, Cootamundra & Albury p y p gg , y • Improving, justifying, validating. • Use with industry groups eg MLA, RIRDC, ongoing with GRDC, yg p g , , g g , grower groups, CMA’s • Produce guiding text and process • Explore potential for extent of use by adopters to be included
  • 16. Where to from here • Shift to web-based format late this year • PREDICT: ENGAGE: INFORM: & DELIVER:INTEGRATE • Longer-term – integrate with industry/population databases, RDC tools. tools
  • 17. Thank You

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