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THE REAL ADOPTION OF
CONSERVATION AGRICULTURE
(CA) IN THE LAKE ALAOTRA
AREA AFTER 10 YEARS OF
DIFFUSION

MADAGASCAR
E. Penot, CIRAD, UMR innovation/URSIA-SCRID
Joana Fabre, IRC Montpellier
R Domas, BRL/Madagascar
Introduction and objective
   Extension of Conservation Agriculture in Lake Alaotra started slowly in
    1998
   Large scale development project BV-Lac/AFD, from 2003 to 2013,
    farming system and watershed approach.
   The GSDM, regrouping Research and Development CA operators,
    compile statistics on CA adoption from projects database.
   These statistics, area and number of adoptants, however, combine
    different types of activity and systems, which are not all CA activities.
   A need of a method to correctly assess cropped areas with real CA
    practices (FAO definition). Clearly identify what is CA and what is not…

   Objective: to avoid to “mythicize” CA and provide reliable data
   Implemented within the Pampa project (AFD funding).
Methodology:
distinction between real CA cropping
patterns and other cropping systems
   Identification of what can be considered as a
    real CA farmer’s plot.
   On Upland hills = tanety
   Low land in upland conditions but access to
    water in dry season = baiboho
   Lowland rice with Poor Water Management
    or control PWMLR (RMME in french)
Transect and agro-ecological situations
lake Alaotra. Baiboho
Tanety




                        Poor water management
                        lowland rice fields
challenge of a change in paradigm
for farmers.

   Definition of CA
   The approach is based on partnership, farming
    system analysis, and modelling for a Decision
    Support Systems (DSS) project orientation.
    The Madagascar case : the Lake Alaotra
    case study.
The non CA plots to be removed from the
current statistics
On tanety and baiboho

   pastures, fodder crops, improved fallow, re-forestation, re-greening with
    covercrops, cover-crops as preliminary improved fallow (potential CA)
   first year (Y0) or CA “introductive” year with tillage : the first real year
    in CA is the year 2 (Y1)


On lowlands : poor water control rice systems PWMLR

   Given the very poor quality data on poor water control rice systems
    (the 2/3 of rice fields in the lake : 70 000 ha!), we decided that only 10%
    of the areas currently monitored by the BV-Lac project were under CA
    (after expert and plot database analysis)
Official CA data
2500



                                                           Number
2000                                                       of farmers

1500                                                               Area
                                                                     Surface
                                                                     Number of adopting


1000




500




  0
       2003-04   2004-05   2005-06   2006-07   2007-08   2008-09    2009-10
The cohort analysis

   Assessment of the abandonment rate, per year, by plot age.
   According to the cohort analysis of databases, a recount of
    real CA has been done.
   Removing all plots in the first year (Y0) and the non CA
    plots,

   The method of Cohort analysis reveals the abandon % and the
    difficulty of a sustainable adoption at a medium term
   Provide a better assessment of how cropped area under CA
    was evolving year by year
Rate of abandon according to CA plot age
80%



70%



60%



50%



40%



30%



20%



10%



0%
       Year 0   Year 1   Year 2              Year 3              Year 4              Year 5   Year 6   Year 7

                                  Rate of abandonment according to the age of plot
The main results:

The real CA area is assessed at 419   ha in 2010
    (estimated at 450 ha in 2011)
The number of adopting farmers is between     600
    and 1000
- Abandon rate decrease from 60 % in Y0 to 10 % in
  Y5 BUT increase the year 6 : some plots are tilled.
Our hypothesis:
-  a poor mulch leading to future weed problem
- Soil compaction : do the covercrop plays its role ?
One main reason for adoption: yield stability on
               mid term
               Average yields on CA systems with upland rice in 2009/2010 BRL
                                  Evolution des rendements en fonction de l'ancienneté en SCV des parcelles
                       4500


                       4000
                              Yield
                       3500

                                                                                                        Arachide Stylosanthes
                       3000
                                                                                                        Arachide En culture pure
Rendements (kg / ha)




                                                                                                        Maïs Dolique
                       2500                                                                             Maïs Mucuna
                                                                                                        Maïs Niébé
                                                                                                        Maïs Stylosanthes
                       2000                                                                             Maïs Vigna umbellata
                                                                                                        Pois de terre Stylosanthes
                                                                                                        Riz Stylosanthes
                       1500
                                                                                                        Riz En culture pure


                       1000


                       500


                         0                                                                              Plot Age
                              0             1            2                3          4       5
                                                   Ancienneté en SCV des parcelles
CA systems evolution
From imported biomass based with local Bozaka (Aristida spp) in 2003
- to the current systems based on covercrops such as Dolichos, Stylosanthes,
    Bracharia, Vetch and Crotalaria mainly associated with Rice, Maize,
    cowpeas and cassava (see poster).

Causes of abandon
   abandon rate is between 40 and 60% after Y0 (opportunistic farmers)
    with a clear decreasing trend over time (30 to 10 % from Y1 to Y5),

   Other sources of abandon after Y1;
   land status for 34 % (share cropping or renting)
   difficulties to master and develop technically the system occurs for only
    22 %
   lack of cash to invest in the CA system for 15 %
What is an “adopting farmer”
   The adoption process of CA is slow (between
    3 and 6 years) and complex.
   Requires training, knowledge acquisition,
    understanding, know-how and then practices


Adopting farmer =
   more than one plot in Y1 (CA areaincreases in
    the farm).
   CA plots from Y1 to Y8
Conclusion
   The first 3 years of CA implementation (learning,
    transforming, appropriation and then know-how) are
    key years in adoption and innovation requiring labor,
    investment, skills and willingness to move, from a
    paradigm (tillage), to a new method (no tillage
    coupled with long term vision and strategy).
   If intensification with mineral fertilizers generally
    provides an immediate response, this is not the case
    with CA practices: profits are not always
    immediately seen or even recorded
   Due to crop rotation, the impact on production
    stability may only be seen after a minimum of 3
    years.
   Yields do not increase significantly trough CA
    practices (3 % per year) but intensification do.
   Y0 and Y1 can be therefore considered as an
    “experimental phase of CA”,
   During the following years Y2, Y3 and Y4 and
    beyond, abandonment decreased drastically.

   The difficulty of identifying “opportunistic farmers”
    withdrawing from the end of the first year is
    jeopardizing development efforts on CA.
   CA = a paradigm change in terms of practices
    AND
   A move from short term “mining” agriculture
    to mid term CA strategies

   Separate as well impact of CA from impact of
    intensification….
Thanks for your attention




Rice and vetch              Upland Rice
in baiboho                  after Stylosanthes
                            In tanety

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An Overview of Mutual Funds Bcom Project.pdf
 

The real adoption of CA in the Lake Alaotra area after 10 years of diffusion. eric penot

  • 1. THE REAL ADOPTION OF CONSERVATION AGRICULTURE (CA) IN THE LAKE ALAOTRA AREA AFTER 10 YEARS OF DIFFUSION MADAGASCAR E. Penot, CIRAD, UMR innovation/URSIA-SCRID Joana Fabre, IRC Montpellier R Domas, BRL/Madagascar
  • 2. Introduction and objective  Extension of Conservation Agriculture in Lake Alaotra started slowly in 1998  Large scale development project BV-Lac/AFD, from 2003 to 2013, farming system and watershed approach.  The GSDM, regrouping Research and Development CA operators, compile statistics on CA adoption from projects database.  These statistics, area and number of adoptants, however, combine different types of activity and systems, which are not all CA activities.  A need of a method to correctly assess cropped areas with real CA practices (FAO definition). Clearly identify what is CA and what is not…  Objective: to avoid to “mythicize” CA and provide reliable data  Implemented within the Pampa project (AFD funding).
  • 3. Methodology: distinction between real CA cropping patterns and other cropping systems  Identification of what can be considered as a real CA farmer’s plot.  On Upland hills = tanety  Low land in upland conditions but access to water in dry season = baiboho  Lowland rice with Poor Water Management or control PWMLR (RMME in french)
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  • 5. Transect and agro-ecological situations lake Alaotra. Baiboho Tanety Poor water management lowland rice fields
  • 6. challenge of a change in paradigm for farmers.  Definition of CA  The approach is based on partnership, farming system analysis, and modelling for a Decision Support Systems (DSS) project orientation.  The Madagascar case : the Lake Alaotra case study.
  • 7. The non CA plots to be removed from the current statistics On tanety and baiboho  pastures, fodder crops, improved fallow, re-forestation, re-greening with covercrops, cover-crops as preliminary improved fallow (potential CA)  first year (Y0) or CA “introductive” year with tillage : the first real year in CA is the year 2 (Y1) On lowlands : poor water control rice systems PWMLR  Given the very poor quality data on poor water control rice systems (the 2/3 of rice fields in the lake : 70 000 ha!), we decided that only 10% of the areas currently monitored by the BV-Lac project were under CA (after expert and plot database analysis)
  • 8. Official CA data 2500 Number 2000 of farmers 1500 Area Surface Number of adopting 1000 500 0 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10
  • 9. The cohort analysis  Assessment of the abandonment rate, per year, by plot age.  According to the cohort analysis of databases, a recount of real CA has been done.  Removing all plots in the first year (Y0) and the non CA plots,  The method of Cohort analysis reveals the abandon % and the difficulty of a sustainable adoption at a medium term  Provide a better assessment of how cropped area under CA was evolving year by year
  • 10. Rate of abandon according to CA plot age 80% 70% 60% 50% 40% 30% 20% 10% 0% Year 0 Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Rate of abandonment according to the age of plot
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  • 12. The main results: The real CA area is assessed at 419 ha in 2010 (estimated at 450 ha in 2011) The number of adopting farmers is between 600 and 1000 - Abandon rate decrease from 60 % in Y0 to 10 % in Y5 BUT increase the year 6 : some plots are tilled. Our hypothesis: - a poor mulch leading to future weed problem - Soil compaction : do the covercrop plays its role ?
  • 13. One main reason for adoption: yield stability on mid term Average yields on CA systems with upland rice in 2009/2010 BRL Evolution des rendements en fonction de l'ancienneté en SCV des parcelles 4500 4000 Yield 3500 Arachide Stylosanthes 3000 Arachide En culture pure Rendements (kg / ha) Maïs Dolique 2500 Maïs Mucuna Maïs Niébé Maïs Stylosanthes 2000 Maïs Vigna umbellata Pois de terre Stylosanthes Riz Stylosanthes 1500 Riz En culture pure 1000 500 0 Plot Age 0 1 2 3 4 5 Ancienneté en SCV des parcelles
  • 14. CA systems evolution From imported biomass based with local Bozaka (Aristida spp) in 2003 - to the current systems based on covercrops such as Dolichos, Stylosanthes, Bracharia, Vetch and Crotalaria mainly associated with Rice, Maize, cowpeas and cassava (see poster). Causes of abandon  abandon rate is between 40 and 60% after Y0 (opportunistic farmers)  with a clear decreasing trend over time (30 to 10 % from Y1 to Y5),  Other sources of abandon after Y1;  land status for 34 % (share cropping or renting)  difficulties to master and develop technically the system occurs for only 22 %  lack of cash to invest in the CA system for 15 %
  • 15. What is an “adopting farmer”  The adoption process of CA is slow (between 3 and 6 years) and complex.  Requires training, knowledge acquisition, understanding, know-how and then practices Adopting farmer =  more than one plot in Y1 (CA areaincreases in the farm).  CA plots from Y1 to Y8
  • 16. Conclusion  The first 3 years of CA implementation (learning, transforming, appropriation and then know-how) are key years in adoption and innovation requiring labor, investment, skills and willingness to move, from a paradigm (tillage), to a new method (no tillage coupled with long term vision and strategy).  If intensification with mineral fertilizers generally provides an immediate response, this is not the case with CA practices: profits are not always immediately seen or even recorded
  • 17. Due to crop rotation, the impact on production stability may only be seen after a minimum of 3 years.  Yields do not increase significantly trough CA practices (3 % per year) but intensification do.  Y0 and Y1 can be therefore considered as an “experimental phase of CA”,  During the following years Y2, Y3 and Y4 and beyond, abandonment decreased drastically. 
  • 18. The difficulty of identifying “opportunistic farmers” withdrawing from the end of the first year is jeopardizing development efforts on CA.  CA = a paradigm change in terms of practices AND  A move from short term “mining” agriculture to mid term CA strategies  Separate as well impact of CA from impact of intensification….
  • 19. Thanks for your attention Rice and vetch Upland Rice in baiboho after Stylosanthes In tanety