C Conroy, Y Thakur* and M Vadher**
The adoption by resource-poor livestock-keepers of technologies developed by livestock and forage researchers has been poor. It has been argued that a participatory approach to technology development can help to ensure that new technologies are more appropriate to livestock-keepers’ needs and circumstances, and hence increase the likelihood of adoption.
This paper describes trials conducted in India by a goat research project that adopted a participatory approach, and assesses to what extent the postulated benefits of participatory technology development have been realised, and the factors affecting this. It describes trials involving two of the most promising technologies developed by the project. It then discusses: (a) the prospects for adoption of these and other technologies investigated by the project; (b) methodological issues relating to control groups; and (c) the challenges associated with achieving a high degree of participation by livestock-keepers.
Finally, it identifies what conclusions can be drawn, and lessons learned, from the project’s experiences.
Scientists have acquired a tremendous amount of knowledge
about feed resources and ruminant production, nutrition and health in tropical
countries. Despite this, resource-poor livestock-keepers’ adoption of
technologies developed by researchers has been limited, in relation to:
enhancing fodder production and improving
grazing
animal health treatments (drugs, vaccines etc.).
This is partly because technologies have often been
developed without the involvement of the intended users, and without an
adequate understanding of their farming systems and constraints. Constraints on
any of the factors of production – land, labour or
capital – can inhibit take-up of new technologies. By definition, such
constraints are most severe among resource-poor livestock-keepers, for whom
effective new technologies are most needed.
Some examples of constraints affecting livestock feed technologies,
relating to each factor of production, will now be given. Insufficient land may
make it impossible to grow fodder crops, because the farmer does not have
enough arable land and the fodder crops compete with food or cash crops; insufficient labour may make stall-feeding,
based on cut-and-carry, an unattractive option; and scarcity of cash may
discourage livestock-keepers from purchasing inputs, such as green fodder,
compound feeds or concentrates.
Government veterinary services in developing countries,
although they may be free of cost in principle, tend not to reach resource-poor
farmers. As little as 15-20% of the livestock populations in LDCs have enjoyed regular and affordable access to modern
veterinary medicine and “there is little prospect that these percentages will
change much in the foreseeable future” (McCorkle et al 1999). There is a need,
therefore, to develop low-cost health-related technologies, based on locally
available materials or expertise, that can be acquired without regular
access to state veterinary services. Participatory Technology Development (PTD)
can also contribute here by identifying, testing and developing such
technologies with livestock-keepers.
Livestock research
and development work has tended to lag behind crop production work in the
development and application of methods for PTD. It is clear from reviewing the
literature on PTD or farmer participatory research (FPR) that there are
relatively few documented examples of projects in which livestock are a central
focus (Chambers et al 1989; Clinch 1994; Okali et al
1994; van Veldhuizen et al 1997). Perhaps only five
percent of case studies have a livestock focus. However, there has been
increasing recognition that livestock research needs to give greater emphasis
to farmer participation (Sidahmed 1995); and some
researchers now believe that “participatory approaches are
It has been argued
that PTD can help to ensure that new technologies are appropriate to farmers’
and livestock-keepers’ needs and circumstances, and hence increase the
likelihood of adoption (Conroy et al 1999; Reijntjes et al 1992). More
specifically, greater participation of the intended users can mean that:
applied and adaptive research will be better oriented to farmers’ problems;
farmers’ knowledge and experience can be incorporated into the search for solutions, and highly inappropriate technologies can be ‘weeded out’ early on;
the perfor
researchers will be provided with rapid feedback on the technologies tested, and promising technologies can be identified, modified and disseminated more quickly, reducing the length of research cycles and saving time and money;
farmers’ capacity and
expertise for conducting collaborative research is built-up and becomes a
valuable resource for future research programmes
(Conroy et al 1999).
Since October 1997 the BAIF Development Research Foundation
(
The project aims to develop technologies to ease or remove the constraints identified, based primarily on a collaborative relationship with goat-keepers, as described in Table 1. A collaborative approach is more participatory than the contract and consultative modes, which have probably been the ones most commonly used in on-farm livestock research. (The degree of farmer involvement increases in the modes to the right hand side of the table.) This article focuses on two of the most promising technologies developed by the project. It then discusses: (a) the prospects for adoption of these and other technologies investigated by the project; (b) issues relating to the use of control groups; and (c) challenges associated with achieving a high degree of participation by livestock-keepers. Finally, it identifies what conclusions can be drawn, and lessons learned, from the project’s experiences.
Table 1: Four different modes of farmer participation in
agricultural research (Source: Biggs
1989) |
|||
1. Contract |
2. Consultative |
3. Collaborative |
4. Collegiate |
Farmers’ land &
services are hired or borrowed: e.g. researcher contracts with farmers to
provide specific types of land |
There is a doctor-patient
relationship. Researchers consult
farmers, diagnose their problems and try to find solutions |
Researchers and farmers are
roughly equal partners in the research process & continuously collaborate
in activities |
Researchers actively
encourage & support farmers’ own research & experiments |
The BAIF/NRI
project team began by doing surveys in prospective project villages. The
surveys involved rapid rural appraisals with groups of goat-keepers, using
semi-structured interviews and mapping and diagramming. The surveys generated descriptions of the
goat production and feeding systems. In
PTD it is essential to identify priority needs: simple ranking was used to
identify major problems and their relative importance, and the results of the
ranking were generally cross-checked with other survey findings. This was
sometimes followed by participatory problem tree analysis to gain a deeper
understanding of the nature of the constraint [The use of this and other PRA
methods is described in a recent publication of the project (Conroy 2002)].
If an important feed-related problem was identified through the group discussions, more detailed livestock productivity data (e.g. on kid mortality) were often sought subsequently through individual interviews, using the ‘participatory herd history’ method (described in Conroy, 2002), as such data can help to identify critical periods in the nutrition of the animals.
The project then
established some ‘in village’ [Some of the participating goat-keepers were
landless, so the usual term, ‘on-farm’, is not appropriate] trials to address
the problem or need identified. The first few trials focused on supplementation
of feed at critical points in the
year, but more recent trials have included ones in which the treatments were anthelmintics. A summary of some of the trials is given in Table
2.
Table 2: Some
trials on goats conducted by the BAIF/NRI Project |
||||
Challenge#
addressed |
Treatment/ |
Timing
of treatment |
Key
indicators |
Monitoring
period |
Poor reproductive perfor |
Tree pods supplement (combined with barley in first trials) |
Daily for 10 weeks during scarcity period(mid-May to end July) |
Conception and number of kids born |
7-8 months, from mid-May to December |
High mortality in kids (< 60 days) in
rainy season (in |
Dewormer:- commercial OR- based on locally available material |
Applied to does in late pregnancy and on
day of kidding |
Mortality during first 60 days after
kidding |
3 months |
High mortality in kids (< 60 days) in
rainy season (in |
Feed supplement |
Applied to does in last 4-6 weeks of
pregnancy and for one month after kidding |
Mortality during first 60 days after
kidding |
3-4 months |
High mortality of young goats (6-9
months) in the rainy season (in Rajasthan) |
Urea molasses granules (UMG) |
Daily for 10 weeks during late dry season
and early rainy season (mid-May to end July) |
Mortality during early rainy season |
4 months |
Faster growth of young male goats to
increase income |
Barley supplement |
Daily for 2-3 months for goats aged 3-6 months |
|
About 9 months – from start of treatment
to age at which most males had been sold |
Earlier sexual maturity of young females,
to increase no. of kids produced |
Barley supplement |
Daily for 2-3 months for goats aged 3-6 months |
Age at which females reached sexual
maturity |
About 15 months## – from start of
treatment to age at which females came into heat or conceived |
# A challenge can be a
problem or an opportunity |
The project team
concluded at the outset that it would be necessary to subsidise
treatments to some extent, in order to: (a) encourage participation; and (b) to
compensate people in the treatment groups for any potential risk to which their
animals might be exposed, and for the time they contributed to the monitoring
of the trial. People in the control groups were also provided with material
incentives of a different nature that would not affect the outcome of the trial
(e.g. provision of a breeding buck). However, the project team also considered
it important that goat-keepers contribute to the costs of the treatment, as a
demonstration of their interest in the technology to be tested and the problem
being addressed. The project’s approach has been to phase out subsidies where
technologies prove to be effective.
In most trials there has been a two-pronged monitoring
system, comprising: fortnightly monitoring of goat productivity parameters
(e.g. milk production); and monthly meetings with participants to discuss how
the trials were progressing. The former provides quantitative information,
while the latter provides qualitative information, including the goat-keepers’
perceptions of how the animals are responding to the treatment and any issues
that are concerning them. One or more literate persons from each trial village
has been given training by the project in how to measure and monitor the
relevant goat productivity parameter(s), and has been paid for doing this.
Joint evaluation meetings with participants (from both the treatment and
control groups) have been held at the end of the trials.
There is not space to describe all of the trials in this article.
Instead, the focus is on describing two sets of trials involving the most
promising technologies, namely:
use of Prosopis juliflora pods as a feed supplement and
use of trichomes of Mucuna pruriens pods as a dewormer.
In Bhilwara District of Rajasthan there was evidence that feed
scarcity in the dry season could be acting as a constraint on the reproductive
perfor
In the
The
locally available material that was used was the trichomes
(hairs) from the pods of a leguminous creeper, Mucuna pruriens. The dose, which is mixed with
a lukewarm sugary solution (jaggery), is 20 mg per kg
body weight. The idea of using this material came from the fact that members of
a local caste specialising in buffalo-keeping were
known to use it.
The treatments
had the desired effect, with does in the treatment groups having higher conception
rates than those in the control groups. The conception data are summarised in Table 3. The difference in conception rates
between the treatment and control groups is significant at the 5% level for the
1998 and 2000 data, using an exact chi-squared test; whereas the p-value for
the 1999 data was almost significant at 0.055.
Table 3: Conception data for mature does |
||||||
|
1998 |
1999 |
2000 |
|||
Pregnant |
Not
Pregnant |
Pregnant |
Not
Pregnant |
Pregnant |
Not
Pregnant |
|
Treatment |
24 |
0 |
39 |
11 |
34 |
3 |
Control |
18 |
5 |
34 |
22 |
28 |
7 |
# Data from
the 2001 trial are not yet available |
Table 4: Twinning rates for does that kidded* |
||||||
|
1998 |
1999 |
2000 |
|||
|
Twins |
One |
Twins |
One |
Twins |
One |
T |
4 |
19 |
11 |
28 |
8 |
19 |
C |
1 |
16 |
6 |
26 |
3 |
14 |
Table 5: Kidding rates
(percent) |
|||
Group |
1998 |
1999 |
2000 |
Treatment |
116.6 |
100.0 |
116.6 |
Control |
78.3 |
69.1 |
70.4 |
P-value |
0.01 |
0.02 |
0.006 |
Mortality in kids
less than one month old was less than 10% in the treatment group and control
group, as is shown in Table 6. A chi-square test indicated that there was no
significant difference in mortality rates between the three groups.
Table 6: Mortality* of kids from birth to one month of age |
|||
Group# |
No. of kids born |
No. of
kids died |
Mortality
rate (%) |
Control |
35 |
3 |
8.5 |
MP |
31 |
3 |
9.6 |
F |
30 |
2 |
6.6 |
Total |
96 |
8 |
8.33 |
* Kids that died accidentally were not considered
for analysis |
Table 7: Comparative parasitical egg count of does of
different groups before and after
treatment* |
|||||||
Sr. No. |
Group |
No.of does |
Mean
number of eggs/g of faeces |
Difference
between mean number of eggs on Day 0 and Day 7 |
‘t’ value |
‘P’ value |
|
Day O |
Day 7 |
||||||
1. |
C |
6 |
717 |
983 |
+ 267 |
- 5.59 |
.003 |
2. |
MP |
7 |
971 |
271 |
-700 |
9.72 |
.0001 |
3. |
T2 |
7 |
757 |
114 |
-643 |
6.03 |
.0009 |
* In group MP the treatment was the trichomes of Mucuna pruriens pods, and in F it was Fenbenzadole.
C = control group |
The parasitical faecal egg counts were significantly lower on the 7th day after deworming in both of the treatment groups, whereas the faecal egg count in the control group increased significantly (Table 7).
Table 8: Mean weekly weight of kids during first
month after birth |
|||||||
Sr. No. |
|
Weights (kg)
|
|||||
|
1st
week |
2nd
week |
3rd
week |
4th week |
Weight
gain at 4th week |
||
1. |
Control |
2.12 |
2.77 |
3.24 |
3.71 |
4.12 |
2 .00 |
2. |
MP |
2.28 |
2.99 |
3.72 |
4.23 |
4.88 |
2 .60 |
3. |
F |
2.23 |
2.94 |
3.56 |
4.19 |
4.81 |
2.58 |
Statistical
analysis of the data summarised in Table 8 showed
that the mean growth rates of kids in groups MP and F were significantly higher
than that of the kids in the control group. The apparent difference in mean
growth rates between the two treatment groups was not significant.
This section focuses mainly on methodological issues and prospects for adoption.
The mature does in the treatment groups had higher conception and twinning rates than those in the control groups, and hence higher kidding rates. The mean number of kids per doe in the treatment groups was significantly higher than that in the control groups, providing clear evidence that the treatment results in does producing more kids than they would otherwise have done. Using Prosopis juliflora pods alone gave better results than a mixture of pods and barley. One possible explanation for this is that the goats are protein-deficient in the late dry season, but not energy-deficient. A large proportion of their feed is chopped cactus (Opuntia spp) at this time of the year (C. Wood, pers. comm.), which is a good source of energy, but not protein (C. Wood et al 2001).
The faecal egg count data and the growth rate data strongly suggest
that the Mucuna pruriens-based
treatment is as effective against helminths in
pregnant does as the commercial anthelminthic, Fenbendazole. Two
factors could have caused the faster growth of kids in the treatment groups. It
may be that the lower parasitical load in treatment group does during the preparturient period resulted in
less parasitical infestation of their kids (Smith and Sher
The low mortality rate of kids in the control group (8.5%), as compared with observed rates of about 50% the previous year, is thought to have been due to differences in rainfall between the two years. Rainfall in 2001 was only about half of that in 2000, and the monsoon rains arrived later than usual: as a result, worm burdens of does may have been lower in 2001.
There
are several reasons why the Prosopis juliflora pods technology has excellent prospects for
widespread adoption by poor livestock-keepers in
the pods do not have to be purchased;
this tree species is found across a large area of the country;
the trees grow on common lands and by roadsides, making them available to the landless; and
the collection time
occurs at a time of the year when
Both of the deworming treatments have very favourable cost: benefit
ratios. That for Fenbenzadole is
By comparison, the prospects for adoption of some other supplements tested by the project, such as barley and UMG (see Table 2), are not good. Barley is valued by goat-keepers as a high quality supplement, but there are problems with its adoption. If the barley is grown by the farmer it competes for plot space with other crops, notably wheat, which is an important staple: so more food for the goats means less food for the family. If barley has to be purchased, a similar dilemma arises for the family over allocation of scarce resources.
Although UMG makes use of a locally available waste material, molasses, it was more expensive (per kg) than other high quality supplements, such as barley or groundnut cake. In addition, livestock-keepers had a general preference for the traditional products.
Some research trials have two or more treatment groups, but
no control group, the comparison being made between the different treatments.
However, the BAIF/NRI project’s experience shows that it is important to have a
control group. This is because without a control group, it would be necessary
to make a ‘before and after’ comparison, and these can be misleading due to
inter-annual variability. For example, as noted above, data collected in the
When making ‘with and
without’ comparisons, between treatment group and control group animals, it is
important that proper care is taken to minimise
inter-animal variations. For example, in a feed supplementation trial it would
be important that the general diet of the animals from the two groups was
broadly comparable. This can be difficult to achieve if the owners of the
control group animals are different from the owners of the treatment group
animals. The former could be wealthier, on average, and hence giving their
animals more high quality supplements; or control group members could be
grazing their goats on different (and superior) pasture land to that of
treatment group members. Both of these situations have arisen in trials of the
BAIF/NRI project.
It is easier to avoid bias by having animals from different groups within the same herds, rather than making a ‘between herds’ comparison. However, the ‘within herd’ approach can be problematic for certain types of treatments, particularly ones involving feed supplementation, as there is a risk that control group animals will get access to the treatment. Nevertheless, our experience has shown that it can work if the owner understands and agrees with the purpose of the trial design; and if there is a good rapport between the researchers and the livestock-keepers, and frequent visits by the researchers.
The project worked in villages where BAIF already had an operational presence, which greatly facilitated the establishment of a good rapport between the goat-keepers and the research team. Nevertheless, achieving a high degree of participation by livestock-keepers was a major challenge. It was achieved in the two sets of trials described in this article, but not in all of the trials. Livestock-keepers are likely to lack confidence and trust to begin with, while researchers and development professionals may find it difficult to give up their conventional roles of being experts who know (or are expected to know) the solutions to farmers’ problems.
The research team generally sought to address a priority need of the goat-keepers. However, in a few of the trials it is questionable whether the project actually succeeded in this aim, due to inadequate discussions with them about the precise nature of the constraint and/or the suitability of the proposed treatment to address it.
In PTD, ideas for technologies to be tested are expected to be provided by participating farmers, as well as researchers, but in most of the project’s trials it was the researchers who proposed the treatment to be used. Nevertheless, this was based on knowledge of livestock-keepers’ experiences with similar technologies in other localities. In most trials, the participants appeared to agree that the proposed treatment was a sensible one, and made contributions ranging from 33% to 100% of the cost of the treatment.
It is important to be aware of, and to address, factors that may hinder the adoption of a participatory approach. These include (see also Conroy et al 1999):
researchers lacking experience and orientation in PTD;
researchers not thinking in terms of the profitability of treatments;
researchers lacking awareness of constraints on goat-keepers’ factors of production (capital, labour and land);
researchers not being fully committed to a participatory approach;
pressure to move quickly from the diagnosis and needs assessment phase to the establishment of trials, arising from the short lifetime of some projects [The BAIF/NRI project was originally expected to last for three years, but was given an extension, increasing the duration to four and a half years], resulting in inadequate needs assessment;
small project budget, resulting in insufficient staff time to encourage full farmer involvement;
late scheduling of project activities (related to previous point); and
staff turnover and involvement of inexperienced staff.
A high degree of participation is not usually possible from the outset.
However, if researchers are committed to achieving it there is likely to be a
gradual shift along the spectrum towards greater participation. In the
experience of the BAIF/NRI project this may be due to one or more of the
following factors:
development of positive rapport between
researchers and participants when successive trials are conducted in the same
village;
improved understanding by the researchers of problems or opportunities;
the efficacy and profitability of the
technologies is demonstrated, or improved through modifications; and
technologies found to be ineffective are abandoned.
A number of conclusions can be drawn, and lessons learned, from this
project.
The experience of this project lends support to the view that the more
and the earlier farmers and livestock-keepers are involved in the research
process, the more rapidly appropriate technologies will be identified.
To ensure the active involvement of goat-keepers in PTD it is essential that the research is addressing a need that they regard as important. Accurate identification and understanding of priority needs by researchers is likely to require considerable time and effort, but this is thoroughly justified.
Technology development is a gradual and iterative process. Thus, a
number of trials may be required before a technology is developed that meets
livestock-keepers’ priority needs and is suitable for adoption.
The project’s experience suggests that one should avoid cash-based treatments when working with very poor people. For them, it is important to draw on inputs that are locally available, either on their farms or in the nearby environment; or which can be introduced easily.
It is important to take steps to promote a participatory approach by the
project, programme or agency. Some specific steps are listed below.
Any project will need at least one “process champion”, preferably with prior experience of PTD, who strives to ensure that the project team adopt and maintain a participatory approach. Social science researchers and development workers are usually (but not always) better suited to this role than natural scientists.
The BAIF/NRI project sought to strengthen the capacity of BAIF’s field staff to undertake PTD by providing them with relevant training, in the form of one-week courses in PTD. Many of them had not previously been involved in participatory research.
Exposure visits to other PTD projects (not necessarily involving livestock) would also be very beneficial.
The BAIF/NRI project introduced a procedure mid-project whereby, before any trial was authorised, the researcher was required to complete a protocol, and to provide, inter alia:
evidence that the researcher had done a thorough needs assessment (upon which the case for the trial is based) and understood well the problem or opportunity; and
quantified estimates of the cost of the proposed treatment and the likely or possible benefits, indicating good prospects for the treatment to be profitable.
We would like to thank all of our colleagues in BAIF Development Research
Foundation who took part in this project, without whose work
this article would not have been possible. We would also like to thank
the goat-keepers who participated in the trials; and Mr David Jeffries for
providing biometric advice on analysis of some of the trial results. This
article is an output from a project (R6953) funded by the Livestock Production
Programme of the UK’s Department for International Development, for the benefit
of developing countries. The views expressed are not necessarily those of DFID.
DFID’s support is gratefully acknowledged.
Acharya R M and Bhattacharyya N K 1992 Status
of small ruminant production. Paper presented at the Vth
International Conference on Goats,
Biggs S 1989 Resource-poor farmer participation
in research: a synthesis of experiences from nine agricultural research
systems. OFCOR
Comparative Study Paper, No 3.
Chambers R, Thrupp L-A and Pacey A 1989 Farmer
First. Intermediate Technology:
Clinch
N 1994 An
Annotated Bibliography of On-Farm Research. Natural Resources Institute:
Conroy C 2002 Participatory
Situation Analysis with Livestock Keepers: A Guide. BAIF/NRI Project Guide No.
1.
Conroy C, Sutherland A and
Martin A 1999 Conducting Farmer
Participatory Research: What, When and How.
In: Grant, I and Sears, C. (eds), Decision Tools for Sustainable Development.
Matthew
Mc Corkle
C, Rangnekar, D V and Mathias, M 1999 “Introduction: Whence and whither
ER&D?”. In Mathias et al [Eds]: Ethnoveterinary
Medicine: Alternatives for Livestock Development, Proceedings of an
international conference held in
Okali C, Sumberg J and Farrington
J 1994 Farmer Participatory Research: Rhetoric and Reality. Intermediate
Technology:
Peters M, Horne P, Schmidt
A, Hol
Reijntjes C, Haverkort B and Waters-Bayer
A 1992 Farming
for the Future: An Introduction to
Low-External-Input and Sustainable Agriculture.
Sidahmed A 1995 Livestock and Feed Development and
Improvement Research Needs in
Smith M C and Sher
Veldhuizen van L, Waters-Bayer A and de Zeeuw H
1997 Developing Technology with
Farmers: A Trainer’s Guide for
Participatory Learning. Zed Books/ETC
Waters-Bayer A. and Bayer W
1994
Planning with Pastoralists: PRA and more – a
review of methods focused on
Wood, C,
Matthew