|
GENDER
ANALYSIS OF A NATIONWIDE CROPPING SYSTEM TRIAL SURVEY IN MALAWI
Robert.
A. Gilbert, Webster D. Sakala and Todd.D. Benson
Abstract: The majority of
farmers in sub-Saharan Africa are female, yet women often have
limited access to extension information and agricultural inputs.
Designing improved agricultural research and extension services
for women in Africa is a challenging task since female farmers
defy simple characterizations, and the effect of gender versus
income levels relative to quality of extension services received
is difficult to disentangle. The accurate characterization of
farmers targeted by extension on a large scale supports efforts
to quantify potential impacts of extension programs in Africa.
A nationwide trial comparing legume cropping systems to fertilized
and unfertilized maize controls was implemented at approximately
1400 on-farm sites by the Malawian extension service and cooperator
farmers in the 1998-99 cropping season. In addition to agronomic
yield data collection, extension agents conducted a socioeconomic
survey of the farmers involved in the trial. The objective of
the survey was twofold: to determine socioeconomic characteristics
of the farmers collaborating with the extension service, and to
assess farmer opinions regarding the cropping systems being promoted.
Of the 1385 sites, only 270 (19 percent) involved female farmer
cooperators, although women constitute 69 percent of the full-time
farmer population in Malawi. The 1115 male farmers had significantly
greater experience as head of household, used more fertilizer,
and devoted a greater area to cash crops. There were no significant
gender differences across crop yields when inputs were supplied,
indicating that female farmers were as productive as their male
counterparts. Farmer ranking and rating of the cropping systems
were remarkably similar between the genders. Mucuna pruriens was perceived as having the lowest overall labor requirements,
while fertilized maize had the highest food production rating.
Unfertilized maize and local control plots fared poorly in both
farmer rating and ranking of treatments. Overall, these results
suggest that the extension service skewed the trials toward well-to-do
male farmers. However, the extension service was able to implement
a complex trial that included field days attended by over 106,000
farmers. Thus the national extension service in Malawi may well
be suited to collaborate with and scale-up locally
significant NGO efforts which may target more representative farmers.
INTRODUCTION
There has
been increasing concern that female farmers in Africa are not
receiving their fair share of extension advice. Doss, in a review
of 25 years of literature on designing agricultural technologies
for African farmers, found that female farmers, especially female-headed
households, are often not contacted by extension services. [1] This view is corroborated by other literature
which states that agricultural extension services are biased towards
male farmers. [2]
However, Bindlish
and Evenson, in a review of the training and visit (T&V) extension
system in Kenya, concluded that the proportion of male- and female-headed
households receiving extension advice was similar. [3] The majority of farmers found
the T&V system useful, and the authors estimated the system
provided a minimum of 160 percent return on investment. Doss notes
that technology adoption and impacts are complex processes that
defy simple characterization.
[4]Doss and Morris found the gender variable not significant
in explaining maize technology adoption in Ghana.
[5] While the literature often states that cash and export
crops are male crops while subsistence crops are cultivated by
women, the lines of distinction are often blurred.
[6] This is particularly the case with maize in Malawi,
since maize is grown both for home consumption and market sale.
The introduction of semi-flint hybrids with improved consumption
characteristics such as MH17 and MH18 has greatly improved smallholder
adoption of hybrid maize in Malawi.
[7]
Malawi is
only 118,000 km2 in area, yet it has a very diverse
agroecology, with 55 natural regions. [8] The elevation in agricultural areas varies
from 0 to 2000 masl, with average annual precipitation ranging
from 600 to 2000 mm . The varied terrain and soil type in hilly
areas make it impractical to formulate uniform soil fertility
recommendations. Recognizing these limitations, recent research
and extension efforts have focused on the use of GIS systems to
generate area-specific recommendations for fertilizer application
and organic matter technologies. The precipitation pattern is
unimodal, with 4 to 6 months of rain followed by 6 to 8 months
of drought. High variability of precipitation both within and
between growing seasons is typical of southern Africa and makes
rainfed agriculture risky. The long drought period also makes
double- or relay-cropping of legumes with maize problematic, as
dry season growth and survival is poor for most species.
Like many
African countries, Malawis burgeoning population (Malawis
overall population density is 93 people km-2) has led
to decreased fallow periods, stagnant food production and declining
food production per capita. However, Malawi is unique in its dependence
on maize as its staple food crop. Over 90 percent of the total
cultivated land area in Malawi is planted to maize, mostly by
resource-poor smallholders. Malawians consume over 150 kg maize
yr-1, (which constitutes greater than two-thirds of
their caloric consumption), the largest per capita consumption
of maize in the world. [9] There is evidence of declining soil organic matter as soils
are continuously cropped to maize. Mean organic carbon in three
regions has declined 10 to 31 percent over a 20 year period.
[10] Devaluation of the Malawi Kwacha and the elimination
of fertilizer and maize price subsidies have contributed to a
rising fertilizer to maize price ratio. These trends have consequently
made it economically unattractive to use fertilizer for the production
of maize for market sale.
[11]
The
unprofitability of inorganic fertilizers has encouraged agricultural
researchers to assess the potential of legumes grown in association
with maize, or in rotations with maize. However, the success of
any given system varies with local agroecology. For example, groundnut
is generally planted in hotter, drier, low-medium altitude areas
(< 1000 m) near Lake Malawi, while Phaseolus beans are
usually grown in the cool humid highlands. Livestock density tends
to be greater in northern Malawi where human population densities
are lower. Livestock are allowed to graze freely in the dry season
in northern Malawi (they are tied throughout the year in southern
Malawi), and can cause extensive damage to legumes such as pigeonpea
which remain green during the dry season. This factor alone serves
as a strong disincentive for the adoption of long-duration legumes
in northern Malawi.
The
socioeconomic and biophysical context of Malawi has important
implications for legume cropping systems. Farmers are searching
for ways to ameliorate soil fertility that reduce the need for
inorganic fertilizers. This provides an opportunity for inclusion
of legumes. However, because land pressure is intense any proposed
leguminous system must be competitive with continuous maize on
the basis of calorie production per hectare and economic net benefits.
Household
food security is particularly important in Malawi, given the low
average level of income. In a comprehensive poverty study of Malawi,
66 percent of rural Malawians were defined as poor (falling below
a poverty line of $0.26 to $0.85/day, depending on region). [12] Survey results showed that 25 percent of
households surveyed were headed by women. The average area farmed
per household in Malawi was 0.99 ha nationwide, but only 0.76
ha in the more densely-populated southern region. More than half
of all the calories consumed in rural households were derived
from the fields they farmed. Seventy-two percent of all rural
households cultivated maize, with a median hybrid maize yield
of
850 kg ha-1. Fifty-three percent of these households
used at least some fertilizer. Nineteen percent of these households
cultivated tobacco, the main cash crop.
Smale et al.
conducted a longitudinal survey of 349 households in 3 (out of
8) Agricultural Development Divisions in Malawi.
[13] The proportion of farmers using inorganic fertilizer
on maize ranged from 45 to 65 percent from 1990 to 1997. Farmers
growing tobacco had significantly higher use of fertilizer on
maize. Well-to-do households were classified by farmers
as those that had maize stocks that lasted from year to year,
owned livestock or oxcarts, or possessed several changes of clothing.
Due and Gladwin
reported a survey of male- and female-headed households from two
districts in central Malawi. [14] Male-headed households used significantly
higher amounts of fertilizer than female headed households (72
vs. 30 kg), had higher intensity of fertilizer use (51 vs. 34
kg ha-1), and larger average landholding size (1.33
vs. 0.80 ha). The authors maintain that institutional barriers
and social constraints have limited the participation of female
farmers in farmers clubs and reduced their access to credit, which
collectively constrains their levels of fertilizer use. When farmers
access to cash and credit and land are taken into account, the
gender variable has no significant effect on fertilizer use. This
implies that it is the lack of access to resources rather than
lack of managerial abilities that limit womens use of fertilizer
in Malawi.
This paper
reports results from a legume cropping system trial and survey
implemented by the Malawian extension service during the 1998-99
cropping season. This trial was successfully implemented by 1385
extension agents representing every Agricultural Development Division
and natural region in Malawi. It should be noted that the farmer
cooperators were not chosen at random, having been selected by
the extension service. The objective of this exercise was to determine
the socioeconomic characteristics of the farmers the extension
service was working with, what these farmers thought of the cropping
systems being promoted, and how these crops yielded under their
own management on their farms. The results are disaggregated by
gender and agroecological zone in this analysis.
MATERIALS AND METHODS
The farmer
survey and cropping system trials were implemented by extension
agents trained by Action Group I of the Maize Productivity Task
Force (MPTF) in Malawi. The MPTF was established in 1995 by the
Ministry of Agriculture and Irrigation (MoAI) to increase productivity
of maize-based cropping systems.
[15] It was funded by the World Bank, the European Union
and The Rockefeller Foundation, and divided into four Action Groups.
Action Group I was responsible for research and extension on inorganic
fertilizer and integrated nutrient management. The group had recently
completed a nationwide verification trial on area-specific fertilizer
rates on maize. [16]
The
MPTF had the mandate to coordinate research and extension efforts
among MoAI, international research centers, non-governmental organizations
(NGOs), industry and the donor community. Research and extension
efforts on legume cropping systems have been carried out by Action
Groups I, II and IV. While there are numerous local efforts at
diffusion of legumes through various NGOs, the MPTF provided an
institutional context of research and diffusion at a national
scale.
All extension
agents in Malawi were trained and provided inputs for this trial.
The agronomic trial consisted of 6 treatments, listed in table
1 below.
Table
1. Six treatments used in the cropping system trial conducted
during the 1998/99 growing season.
|
ID |
System |
Description |
|
GL |
Grain
legume rotation |
Either
Magoye soybean (Glycine max) or CG7 groundnut (Arachis
hypogaea) |
|
MP |
Mucuna
pruriens (kalongonda) rotation |
Mucuna
pruriens (velvetbean) |
|
MZ/PP |
Maize/pigeonpea intercrop |
Maize
and ICP 9145 pigeonpea (Cajanus cajan) intercropped
together on the same plot |
|
MZ+F |
Fertilized
maize |
Hybrid
maize fertilized at either 35:10:0+2S or 69:21:0+4S (N:P2O5:K20+S) |
|
MZ |
Unfertilized
maize |
Hybrid
maize seed without fertilizer |
|
Local |
Local
control |
No
treatment imposed; maize yield data collected from farmer's
own field adjacent to research plots |
|
This
ID is used in Figure 2 A-F. |
|
The grain
legume (GL) rotation, Mucuna pruriens (MP) rotation
and maize/pigeonpea (MZ/PP) intercrop were selected as promising
candidates for evaluation since these legume cropping systems
have demonstrated consistently higher calorie production, economic
net benefits and soil fertility improvement than unfertilized
maize. [17]
The fertilized maize treatment (MZ+F) was included at rates of
69:21:0 + 4S (N:P2O5:K20 + S)
or 35:10:0 + 2S according to recent work on area-specific fertilizer
rates in Malawi. [18] Two controls were included in this trial. The continuous
unfertilized maize (MZ) treatment consisted of unfertilized hybrid
maize (MH17 or MH18, depending on agroecology of the trial site).
The local control plot (Local) served as a local farmer practice
control. It was simply a cropped area on the farmers own
field adjacent to the research plots, from which farmer-produced
maize yield data were gathered.
The
two maize cultivars chosen for the MZ control are suitable for different
agroecological zones in Malawi. MH17 matures in 140-150 days and
is suitable for highland elevations > 1000 m. MH18 matures in
120-130 days and is recommended for low-medium altitude zones <
1000 m. Figure 1 shows the administrative regions in Malawi where
these cultivars were distributed for this treatment, which corresponds
to high vs. low-medium altitudes. In order to identify potential
differences in recommendation domains in these zones, the data were
segregated both by gender and maize cultivar used.

Figure 1. Map of agroecological zones in Malawi in which MH17
(high altitude) and MH18 (low-medium altitude) maize cultivars were
used.
Trial
inputs such as seed, fertilizer, and survey instructions were distributed
to the extension agents during their training. These agents selected
the farmers that implemented the trial. The trial was managed by
these farmers, and survey and yield data were collected by the extension
agents.
In
addition to the agronomic trial, the extension service also conducted
a socioeconomic survey with the farmers on whose land the trial
was implemented. At the beginning of the growing season, farmers
were interviewed to determine their cropping practices and resource
levels. At the end of the growing season, these same farmers were
asked to evaluate the cropping system treatments. The only incentive
for farmers to participate in the study were the provision of
free inputs and the crop harvest, there were no cash incentives
involved.
RESULTS
AND DISCUSSION
Table 2 below
presents descriptive statistics, disaggregated by gender and agroecological
zone, of the farmers involved in the trial. Extension agents chose
to work with female farmers on only 19 percent of the Action Group
I sites. Given that female farmers make up 69 percent of the total
full-time farmers in Malawi, the 19 percent figure may indicate
that extension agents, most of whom are male, chose a disproportionate
percentage of male farmers to implement the demonstration. [19] This may be a further example of the male bias in extension
that Staudt documented for Kenya.
[20] However, Benson and Due and Gladwin state that 25 percent
of farm households in Malawi are female-headed. [21] Extension agents may be choosing farmers
on the criteria of land and labor resources to successfully implement
the trial. These particular farmers would most likely be heads
of households with above-normal resource levels, not necessarily
a random sampling of representative farmers in the study. Female-headed
households in Africa tend to be smaller in family size with smaller
landholdings and lower levels of income.
[22] It is difficult to separate the effect of gender vs.
income on access to extension services. Doss and Morris found
that larger landholdings, larger areas planted to maize and higher
technology adoption rates are all correlated to gender, and that
these factors may influence the quality and frequency of extension
agent visits. [23]
T-tests applied to the survey data revealed a number of significantly
different comparisons (Table 2). Relative to their female counterparts,
male farmers had spent more time (years) as head of household
in both agroecozones. Male households had a greater number of
children in both zones as well. The total amount of fertilizer
used in the previous year was significantly greater in the high-altitude
zone, with male farmers having a greater intensity of use in both
zones. Total field area, maize area in the high-altitude zone,
tobacco area, and cotton area in the low-medium altitude zone
(as expected, cotton was not grown by either gender at high elevations)
were significantly greater for male farmers. Number of cattle,
goats and chickens owned were significantly greater for men in
both zones. Land area devoted to food crops such as sorghum, millet,
cassava, groundnut, sorghum, pigeonpea and bean were not significantly
different between genders.
The higher average land area,
cash crop area and livestock units owned are all indicative of
higher levels of household resources available to the male farmers
in this study. These results are consistent with other surveys
in Africa. [24] For example, Saito et al.
found that African women have generally smaller landholdings,
household sizes and lower incomes.
[25] However, both male and female farmers were wellto-do
by Malawian standards. [26] The small average farm size,
especially in the south, makes implementation of large-scale demonstrations
difficult. Each trial plot was 100 m2 for a total land
area of 600 m2 devoted to this demonstration. Thus
extension agents may have unwittingly selected a subset of farmers
with land holdings large enough to accommodate the trial without
disturbing the farmers own cropping patterns.
Table
2. Descriptive data of Malawian farmers completing trial survey,
disaggregated by gender and agroecological zone.
| |
High-altitude
(MH 17) zone |
Low-medium
altitude (MH 18) zone |
|
Female |
Male |
T
stat |
P
level† |
Female |
Male |
T-stat |
P
level† |
|
N |
92 |
404 |
|
|
178 |
711 |
|
|
|
Age |
44.0 |
44.5 |
|
NS |
45.1 |
47.0 |
-1.77 |
‡ |
|
Adults
in household |
3.6 |
3.7 |
|
NS |
3.7 |
3.7 |
|
NS |
|
Children
in household |
2.6 |
3.2 |
-2.70 |
** |
2.9 |
3.2 |
-1.67 |
‡ |
|
Years
head of household |
12.3 |
18.6 |
-3.42 |
*** |
11.4 |
19.4 |
-6.36 |
*** |
|
Urea
amount used (kg) |
25.9 |
44.2 |
-3.15 |
** |
18.6 |
18.9 |
|
NS |
|
23:21
(N:P2O5 fertilizer)
amt. used (kg) |
36.0 |
66.2 |
-3.68 |
*** |
20.4 |
28.9 |
-2.03 |
* |
| |
|
|
|
|
|
|
|
|
|
Field
area (ha) |
1.50 |
1.84 |
-3.11 |
** |
1.18 |
1.57 |
-5.19 |
*** |
|
Maize
area |
0.84 |
0.97 |
-1.98 |
* |
0.81 |
0.88 |
|
NS |
|
Tobacco
area |
0.12 |
0.23 |
-4.64 |
*** |
0.04 |
0.10 |
-4.17 |
*** |
|
Cotton
area |
0.00 |
0.00 |
|
NS |
0.04 |
0.12 |
-4.86 |
*** |
|
Sorghum
area |
0.01 |
0.01 |
|
NS |
0.10 |
0.09 |
|
NS |
|
Millet
area |
0.06 |
0.06 |
|
NS |
0.02 |
0.04 |
|
NS |
|
Cassava
area |
0.06 |
0.09 |
|
NS |
0.13 |
0.13 |
|
NS |
|
Groundnut
area |
0.22 |
0.25 |
|
NS |
0.17 |
0.16 |
|
NS |
|
Soybean
area |
0.12 |
0.10 |
|
NS |
0.04 |
0.04 |
|
NS |
|
Pigeonpea
area |
0.02 |
0.01 |
|
NS |
0.20 |
0.18 |
|
NS |
|
Mucuna
area |
0.02 |
0.00 |
2.33 |
* |
0.04 |
0.03 |
|
NS |
|
Bean
area |
0.27 |
0.22 |
|
NS |
0.07 |
0.08 |
|
NS |
|
Cowpea
area |
0.08 |
0.05 |
|
NS |
0.07 |
0.13 |
-3.34 |
*** |
| |
|
|
|
|
|
|
|
|
|
Chickens
owned |
7.3 |
8.7 |
-1.86 |
‡ |
7.8 |
9.3 |
-2.24 |
* |
|
Goats
owned |
2.0 |
2.8 |
-2.04 |
* |
2.3 |
2.8 |
-1.87 |
‡ |
|
Cattle
owned |
0.8 |
1.4 |
-2.09 |
* |
0.2 |
1.0 |
-5.54 |
*** |
Women
farmers were three times as likely as men to have had no formal
education (Table 3), and had lower percentages than men of 1
to 4 or > 4 years of education in both zones. The percentage
of men and women using fertilizer in the previous year was similar
to that previously reported in the low-medium altitude zone,
but higher for men in the high-altitude zone. [27] Men in this zone were also more likely to
hire ganyu labor than women, and they had the
highest percentage of ox-cart ownership. Overall, the large
land areas, level and intensity of fertilizer use of men in
the high-altitude zone indicate that they had the greatest level
of resources of the farmer groups analyzed in this study.
Table
3. Education and surrogate wealth measures disaggregated by gender
and agroecological zone.
| |
High altitude (MH 17) zone |
Low-medium altitude (MH 18) zone |
|
Female |
Male |
Female |
Male |
|
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
No |
|
-------------------- percent-------------------- |
-------------------- percent-------------------- |
|
Education
level: |
|
|
|
|
|
|
|
|
|
None |
36 |
-- |
11 |
-- |
26 |
-- |
10 |
-- |
|
1-4 years of school |
18 |
-- |
24 |
-- |
27 |
-- |
33 |
-- |
|
> 4 years of school |
46 |
-- |
65 |
-- |
47 |
-- |
57 |
-- |
| |
|
|
|
|
|
|
|
|
|
Used
fertilizer last year |
60 |
40 |
74 |
26 |
51 |
49 |
52 |
48 |
|
Hired
ganyu labor |
30 |
70 |
45 |
55 |
45 |
55 |
45 |
55 |
|
Worked
as ganyu labor |
31 |
69 |
30 |
70 |
27 |
73 |
26 |
74 |
|
Owns
ox-cart |
5 |
95 |
12 |
88 |
1 |
99 |
5 |
95 |
|
Owns
bicycle |
30 |
70 |
66 |
34 |
40 |
60 |
71 |
29 |
|
Eaten
Mucuna |
32 |
68 |
23 |
77 |
67 |
33 |
51 |
49 |
Men were twice as likely
to own a bicycle as women in both zones (Table 3). A greater percentage
of women than men reported having eaten Mucuna before in
both zones. However, more than 2/3 of the women and ½ of the men
had eaten Mucuna in the MH18 zone, which included the areas
in southern Malawi where it is traditionally cultivated, compared
to less than 1/3 of both genders in the MH17 zone. Prior experience
with Mucuna is important as Mucuna must be prepared
carefully before human consumption in order to eliminate the toxin
L-Dopa from the seed. [28]
Table 4 shows the adjusted
treatment yields for male and female farmers in the 1998-99 cropping
season. The only significant difference between male and female
farmers in either zone for the imposed treatments was the grain
legume rotation in the high altitude zone. Thus when female farmers
were provided the seed and fertilizer inputs for the trial, their
farm management efforts were equally as productive as the male
farmers. Significantly lower maize yields were measured in the
womens local control plot in both zones. Roughly 39 percent
of women applied fertilizer to this plot compared to 44 percent
of the male farmers, and the female farmers local control
plots also recorded lower yields when fertilizer was not applied.
Table 4.
Demonstration trial yields (kg ha-1) in 1998/99 disaggregated
by gender and agroecological zone
| |
High altitude (MH 17) zone |
Low-medium altitude (MH 18) zone |
|
Gender |
|
T-Test |
Gender |
|
T-Test |
|
Treatment |
|
Female |
Male |
T-stat |
P level† |
Female |
Male |
T-stat |
P level† |
|
ID |
System |
|
|
|
|
|
|
|
|
|
GL |
Grain legume rotation |
880 |
1040 |
-2.59 |
* |
960 |
990 |
|
NS |
|
MP |
Mucuna rotation |
1660 |
1710 |
|
NS |
1580 |
1720 |
|
NS |
|
MZ/PP |
Maize/pigeonpea intercrop
(pigeonpea) |
230 |
280 |
|
NS |
540 |
480 |
|
NS |
|
MZ/PP |
Maize/pigeonpea
intercrop (maize) |
1040 |
1070 |
|
NS |
1260 |
1360 |
|
NS |
|
MZ+F |
Maize + fertilizer |
2460 |
2470 |
|
NS |
2540 |
2560 |
|
NS |
|
MZ |
Maize without fertilizer |
960 |
1020 |
|
NS |
1230 |
1280 |
|
NS |
|
Local |
Local control plot |
990 |
1180 |
-2.01 |
* |
1250 |
1400 |
-1.82 |
‡ |
|
† ‡,*,**,*** = significant at
P<0.10, 0.05, 0.01, 0.001, respectively. |
Treatment
yields with Mucuna exceeded those of the other legume
grain yields (GL and MZ/PP), indicating more biomass production
for soil fertility improvement. While the pigeonpea yields were
low, the maize yield in association was not significantly reduced,
thus more food was produced in the maize/pigeonpea intercrop
compared to sole unfertilized maize. Pigeonpea yields were 50
percent lower in the high altitude zone. The fertilized maize
plot, as expected, produced the greatest number of calories
ha-1 during this trial.
The
farmer ranking and rating of the different cropping systems were
remarkably similar between genders (Figure 2 A-F).

Figure
2 A (above): Weed requirement ratings of the 6 cropping system
treatments

Figure
2 B (above): Labor requirement ratings of the 6 cropping system
treatments
Mucuna also had the lowest overall
labor requirement for the entire growth cycle as rated by the
farmers in this study (Fig. 2b). Fertilized maize, which had the
highest grain yields, received the highest rating for total food
production (Fig. 2c). The unfertilized maize treatment and the
local control were rated the poorest in this regard. These control
treatments also fared poorly in the estimated profitability ratings
(Fig 2d), in which the fertilized maize treatment rated the highest.
It must be noted that the farmers were not asked to pay for the
seed and fertilizer used in this study, so the ratings may be
influenced by the free inputs provided in the trial, which were
substantially more valuable for the inorganic fertilizer inputs
than the organic alternatives. Estimated soil fertility improvement
was highest for Mucuna, followed by the grain legume, maize
intercropped with pigeonpea, then fertilized maize (Fig. 2e),
with both control treatments receiving the lowest ratings.
Figure
2 C (above): Food Production ratings of the 6 cropping system
treatments

Figure
2 D (above): Farmer-estimated profitability of the 6 cropping
system treatments
When asked to rank the crop production treatments from 1 (best)
to 6 (worst), fertilized maize received the most favorable ranking,
followed by the legume rotations and intercrops (Fig. 2f). Consistent
with earlier rating criteria, the control treatments were least
favorably regarded. The high ranking of the fertilized maize in
relation to various legumes is not surprising as the farmers had
yet to see the soil fertility benefits of the legumes to subsequent
maize crops. In addition, farmers did not pay for the fertilizer
used, which may have biased their rankings. We expect the ranking
results to differ after farmers see the benefits of legumes in
rotation after the conclusion of the trial, in which maize is
planted after the legumes.
Why was the local control
practice ranked so poorly, yet still implemented by these farmers?
There is often a large practical difference between what a farmer
would like to do and what they are able to do given their level
of resources. Usually farmers know how to produce higher crop
yields, but are not able to afford the inputs or labor necessary
to obtain them, especially in the case of women farmers, as shown
in development literature.
[30]
CONCLUSIONS
The Malawian extension service
successfully implemented a complex agronomic trial and socioeconomic
survey concurrently throughout Malawi. While current funding trends
are toward smaller-scale NGOs working on a watershed scale, this
study shows that the extension service has an important role to
play in scaling-up the results of agronomic research. However,
the farmers chosen to implement this trial were skewed towards
better-off male farmers. Roughly 81 percent of the farmers chosen
were male, and they had 1.7 times the average land-holdings in
Malawi. The disproportionate representation of better-off male
farmers may raise concerns about the trial results. That does
not mean, however, that only these farmers were exposed to these
technologies. A total of 106,000 farmers attended field days associated
with these trial sites in 1998-99.
African farmers, both men
and women, have stated that they want more field days.
[31] Bindlish and Evenson, in a review of the T&V system
in Kenya, found that field days were considered an effective way
to deliver extension advice. [32] The majority of farmers, including 55 percent
of the female-headed households, had attended a field day in their
area. Seventy to seventy-five percent of all farmers had adopted
practices such as improved plant spacing, timely planting and
improved cultivars, but only 10-22 percent had adopted more complex
and costly practices such as topdressing fertilizer or stalk borer
control. Male and female farmers had dissimilar adoption rates
for fertilizer (75 vs. 44 percent for basal dressing) suggesting
that financial constraints characterizing female-headed households
will tend to support reduced adoption rates, even when exposed
to new technology. Thus exposure is most likely a necessary but
not sufficient condition for adoption of new agricultural technologies.
While many researchers advocate increasing the number of female
extension agents to target female farmers, Berger et al. state
that focusing on female farmers alone may be counterproductive
regarding efforts to increase their agricultural productivity
as these programs traditionally have focused on home economics
issues. [33] They state that broad, general,
non-crop specific programs at the Ministry of Agriculture level
have the greatest potential for assisting women. Evidence from
Evenson on the efficacy of the T&V extension system in Africa
indicates that high levels of farmer exposure to new technologies
and technological information is very useful, no matter how unrepresentative
the targeted clientele might be.
[34] In summary, the national
extension service in Malawi is well suited to collaborate with
and scale-up locally significant NGO efforts which
may target more representative farmers.
Male
heads of household had significantly higher fertilizer use, cash
crop area and total field area than female farmers, indicating
higher levels of land, labor and cash available to the male farmers.
However, when trial inputs were provided, there were no significant
differences in grain yield of maize or legumes between male and
female farmers, indicating that the female farmers were equally
productive. The female farmers did have significantly lower maize
grain yields on their own field plots.
The
rating and ranking of treatments was remarkably similar between
genders. Both male and female farmers felt that Mucuna pruriens had the lowest labor requirements, while fertilized maize produced
the greatest amount of food. Both the unfertilized hybrid maize
and the local control plots fared poorly in the ratings and rankings.
In the overall ranking, fertilized maize was ranked significantly
better than the other treatments. This is to be expected as farmers
had yet to see the benefits of legumes in rotation after one year
of growth, and the rankings may have been influenced by the free
inputs provided in the trial. A trial that more accurately reflects
both the demographics of the target population and the farmers
bearing the true costs of the trial may generate different conclusions,
particularly regarding preference for fertilized maize production
systems.
Future
plans for the trial include a second year of data collection on
crop yields and farmer rankings to see if the benefits of legumes
in rotation change farmer perceptions. In addition, an economic
analysis of the 2-year trial will be conducted taking into account
the seed and fertilizer costs associated with each treatment.
The overall goal is to identify and evaluate a range of crop production
strategies that will serve to reverse declining soil fertility
trends documented on smallholder farms in Malawi.
REFERENCES
Benson,
T.D. 1997a. Developing flexible fertilizer recommendations for
smallholder maize production in Malawi. pp. 275-285. In: (Waddington
et al., eds) Soil Fertility Research for Maize-Based Farming
Systems in Malawi and Zimbabwe. SFNET/CIMMYT. Harare, Zimbabwe.
312 pp.
Benson, T.D.
1997b. The 1995-96 fertilizer verification trial in Malawi: economic
analyses of results for policy discussion. Ministry of Agriculture
and Livestock Development. Lilongwe, Malawi. 27 pp.
Benson,
T.D. 2000. Profile of poverty in Malawi, 1998. National Economic
Council. Lilongwe, Malawi.
Berger,
M., V. DeLancey and A. Mellencamp. 1984. Bridging the gender
gap in agricultural extension. ICRW and USAID. Washington, D.C.
74 pp.
Bindlish,
V. and R. Evenson. 1993. Evaluation of the performance of T&V
extension in Kenya. World Bank Tech. Paper # 208. World Bank.
Washington, D.C. 161 pp.
Blackie,
M.J., T.D. Benson, A. Conroy, R. A. Gilbert, G. Kanyama-Phiri,
J.D.T. Kumwenda, C. Mann, S. Mughogho and A. Phiri. 1998. Malawi:
soil fertility issues and options. Rockefeller Foundation
Lilongwe, Malawi. 55 pp.
Buckles,
D., B. Triomphe and G. Sain. 1998. Cover crops in hillside agriculture:
farmer innovation with Mucuna. IDRC and CIMMYT. Ottawa,
Canada and Mexico City. 219 pp.
Doss,
C.R. 2001. Designing agricultural technology for African women
farmers: lessons from 25 years of experience. World Dev. 29:2075-2092.
Doss,
C.R. and M.L. Morris. 2001. How does gender affect the adoption
of agricultural innovations? The case of improved maize technology
in Ghana. Agric. Econ. 25: 27-39.
Due,
J.M. and C.H. Gladwin. 1991. Impacts of structural adjustment
programs on African women farmers and female-headed households.
Amer. J. Agr. Econ. 73:1431-1439.
Due,
J.M., F. Magayane and A.A. Temu. 1997. Gender again views
of female agricultural extension officers by smallholder farmers
in Tanzania. World Dev. 25: 713-725.
Evenson, R.
E. 1992. "Agricultural extension and women farmers: evidence
from Kenya and Burkina Faso." Paper presented at Fourteenth
Annual Middlebury College Conference on Economic Issues on "Women
in Development: Contributions to an Ongoing Agenda," April
3-4, Middlebury College, Middlebury, VT.
Gilbert, R.A.
1998. Comparison of best bet soil fertility interventions: preliminary
results. pp. 225-227. In: Annual report of for the cereals commodity
group for 1997-98. Ministry of Agriculture and Irrigation. Lilongwe,
Malawi.
Koopman, J.
1993. The hidden roots of the African food problem: looking within
the rural household. pp. 82-103. In: N. Folbre et al. (Eds.)
Womens work in the world economy. University Press. New
York, NY.
Kumar, S.K.
1987. Womens role and agricultural technology. In: J.W.
Mellor et al. (Eds.) Accelerating food production in sub-saharan
Africa. Johns Hopkins University Press. Baltimore, MD.
Lorenzetti,
F., S. MacIsaac, J.T. Arnoson, D.V.C. Awong and D. Buckles. 1998.
The phytochemistry, toxicology and food potential of velvetbean
(Mucuna Adans spp., Fabaceae). pp. 67-84. In: (Buckles
et al., eds.) Cover Crops in West Africa: Contributing to Sustainable
Agriculture. IDRC/IITA/SG2000. Ottawa 291 pp.
Quisumbing,
A.R. 1996. Male-female differences in agricultural productivity:
methodological issues and empirical evidence. World Dev. 24: 1579-1595.
Rukuni, M.,
M.J. Blackie, and C. Eicher. 1998. Crafting smallholder-driven
agricultural research systems in southern Africa. World Dev. 6:1073-1087.
Saito,
K.A., H. Mekonnen and D. Spurling. 1994. Raising the productivity
of women farmers in sub-saharan Africa. World Bank Discussion
Paper # 230. World Bank. Washington, D.C. 110 pp.
Saito,
K.A. and D. Spurling. 1992. Developing agricultural extension
for women farmers. World Bank Discussion Paper # 156. World Bank.
Washington, D.C. 105 pp.
Saito,
K.A. and C.J. Weidemann. 1990. Agricultural extension for women
farmers in Africa. World Bank Discussion Paper # 103. World Bank.
Washington, D.C. 57 pp.
Smale, M.,
and P. W. Heisey. 1997. Maize technology and productivity in Malawi.
pp. 63-79. In: (Byerlee and Eicher, eds.) Africas Emerging
Maize Revolution. Lynne Reiner. Boulder, CO. 301 pp.
Smale,
M., and A. Phiri, with contributions from G.A. Chikafa, P.W. Heisey,
F. Mahatta, M.N.S. Msowoya, E.B.K. Mwanyongo, H.G. Sagawa and
H.A.C. Selemani. 1998. Institutional change and discontinuities
in farmers use of hybrid maize seed and fertilizer in Malawi:
findings from the 1996-97 CIMMYT/MoALD survey. Economics Working
Paper 98-01. Mexico, D.F. CIMMYT.
Staudt,
K. 1975. Women farmers and inequities in agricultural services.
Rural Afr. 29: 81-93.
NOTES
Ganyu
is the common term for piece-work hired
labor in Malawi, normally paid on a daily basis.
[2] Due et al., 1997; Saito and Weidemann,
1990; Saito and Spurling, 1992; Saito et al., 1994; Berger et
al., 1984
[3] Bindlish and Evenson, 1993
[5] Doss and Morris, 2001
[6] Koopman, 1993; Kuwar, 1987
[7] Smale and Heisey, 1997
[9] Smale and Heisey, 1997
[10] Blackie et al., 1998
[14] Due and Gladwin (1991)
[15] Rukuni et al., (1998)
[19] Due and Gladwin (1991)
[21] Benson (2000); Due and Gladwin (1991)
[22] Doss (2001); Doss and Morris (2001);
Saito et al., (1994)
[23] Doss and Morris (2001)
[24] Doss and Morris (2001); Doss (2001)
[28] Lorenzetti et al. (1998)
[29] Buckles et al. (1998)
[32] Bindlish and Evenson (1993)
[33] Berger et al. (1984)
[34] Evenson (1992)
Robert
A. Gilbert is an Assistant
Professor with the Agronomy Department at the University of
Florida. From 1996-2000 he was a research fellow in Malawi,
conducting work on improving soil fertility in the smallholder
sector using legumes in maize-based cropping systems with the
Department of Agricultural Research and Technical Services.
His current research focus is sugarcane agronomy and breeding.
Webster D. Sakala is the theme leader of integrated soil
water and nutrient management for the soil fertility network
for maize-based cropping systems which includes Malawi, Zimbabwe,
Zambia, and Mozambique. He is also the team leader for maize
research in Malawi. Currently his research is aimed at improving
utilization and maximization of organic fertilizers for improving
soil fertility for the resource poor farmers in Malawi.
Part of this work is done in collaboration with Tropical Soil
Biology and Fertility and The Royal Danish College of Agriculture. Todd D. Benson is a research fellow with the Food Consumption
& Nutrition Division at the International Food Policy Research
Institute in Washington, D.C., USA. A geographer, he lived in
Malawi between 1994 and 2001, conducting socio-economic research
with the Poverty Monitoring System and the Department of Agricultural
Research and Technical Services.
The authors would like to acknowledge the financial support
of The Rockefeller Foundation and the World Bank in the implementation
and analysis of this trial, as well as the diligent efforts
of the MPTF members and MoAI technicians and extension agents
in Malawi. This research was supported by the Florida Agricultural
Experiment Station, and approved for publication as Journal
Series No. R-08956.
Reference Style: The following is the suggested
format for referencing this article: Gilbert,
Robert A., Webster D. Sakala and Todd D. Benson. "Gender Analysis of a Nationwide Cropping System Trial Survey in
Malawi." African Studies Quarterly 6, no.1: [online] URL: http://web.africa.ufl.edu/asq/v6/v6i1a9.htm
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