| dc.contributor.author | Manyong, Victor M. |
| dc.contributor.author | Alene, Arega D. |
| dc.contributor.author | Olanrewaju, A.S. |
| dc.contributor.author | Ayedun, B. |
| dc.contributor.author | Rweyendela, V. |
| dc.contributor.author | Wesonga, A.S. |
| dc.contributor.author | Omanya, G. |
| dc.contributor.author | Mignouna, H. |
| dc.contributor.author | Bokanga, M. |
| dc.date.accessioned | 2019-12-04T11:14:31Z |
| dc.date.available | 2019-12-04T11:14:31Z |
| dc.date.issued | 2008 |
| dc.identifier.citation | Manyong, V.M., Alene, A.D., Olanrewaju, A., Ayedun, B., Rweyendela, V., Wesonga, A.S., ... & Bokanga, M. (2008). Baseline study of striga control using imazapyr-resistant (IR) maize in western Kenya. an agricultural collaborafive study on striga control by the African Agricultural Technology Foundafion and the Internafional Insfitute of Tropical Agriculture (p. 55), Nairobi: African Agricultural Technology Foundation |
| dc.identifier.isbn | 9966-775-04-8 |
| dc.identifier.uri | https://hdl.handle.net/20.500.12478/2784 |
| dc.description.abstract | This report presents the results of the baseline study undertaken to assess the status of
Striga
damage, the general livelihoods and livelihood strategies of the rural poor in western Kenya.
A stratified random sampling method led to the selection of 8 districts, 16 sub-locations, 32
villages and 800 households. A combination of techniques for data collection was used,
including literature review, GPS recordings, focus group discussions and interview of
individual households. Various econometric m
odels were also developed and estimated for
data analyses. A stochastic frontier production
function was used to measure the technical
efficiency of maize production. A logistic
regression model of poverty was estimated to
examine the determinants and correlates of poverty in western Kenya.
The study revealed that households are small in
size and the dependency ratio is high. There
were about 26% of households headed by females.
The level of education is low for the heads
of households and all members
of farm families. Households are endowed with a multitude of
assets for their livelihoods. However, the level of assets was found to be low or of very poor
quality. Maize is the major food crop and a so
urce of cash income. Farmers grow both local
and improved (hybrid) maize varieties, but the
productivity is low. There is a considerable
gap between potential and actual maize yields. Major factors constraining crop production
include
Striga
infestation on maize, low soil fe
rtility, drought and erratic rainfall.
Striga
is the
major threat to livelihoods of smallholders and its economic importance has increased over
the past three decades. Traditional methods of
Striga
control include uprooting, burning and
manuring, which have proved to be ineffective.
Alternative technologies exist but they have
not been adopted and used as they should because the level of awareness is very low.
Analysis of the determinants of poverty reveal
ed that the poverty status of a household in
western Kenya is significantly related to
Striga
damage,
Striga
control, dependency ratio,
age, education, technology adoption, land per
capita, farm assets, off-farm work, cash crop
production, and location.
More than 70% of the sampled households experi
ence food shortage lasting as long as five
months every year. Coping strategies include off-fa
rm short-term jobs, disposal of assets, and
informal safety nets especially through remittances received from relatives. The
anthropometric Z scores calculated on children
indicate that about 30% were wasting, 50%
were underweight and 48% were stunted. Simila
rly, the results on body mass index (BMI) on
women showed that 36% were underweight while 18% were overweight.
One of the possible strategies to reduce poverty and vulnerability is to increase the efficiency
in maize production. Considerable variation in
maize production efficiency was found among
the sample maize farmers. The results point to the possibility of increasing maize production
through improved efficiency and best local practic
es adopted by the most efficient farmers in
the sample, such as integrated
Striga
control. While technical efficiency increases with
educational attainment, it has a significant non-li
near relationship with farm size where it first
increases but eventually declines with farm size. The direct farm size-efficiency relationship
for smaller holdings coupled with the fact that most farmers in western Kenya cultivate tiny
plots of land suggests that re-allocation of
more land to maize would enhance farmer
efficiency. Increased efficiency could be achieved through, for instance, more optimal
application of inputs and greater intensity of ad
option of improved maize varieties. Therefore,
efforts must be made to enhance adoption of both hybrid maize and
Striga
control
technologies to help increase maize production.
Maize yields in Kenya have continued to
decline despite increased use of new maize varieties, largely due to lack of effective
Striga
7
control technologies. Promoting
both high-yielding varieties and
Striga
control technologies
should thus be an important goal for research and extension in Kenya. |
| dc.description.sponsorship | African Agricultural Technology Foundation |
| dc.language.iso | en |
| dc.subject | Striga Control Technologies |
| dc.subject | Maize Production |
| dc.subject | Households |
| dc.subject | Livelihood |
| dc.subject | Poverty |
| dc.subject | Vulnerable Groups |
| dc.title | Baseline study of Striga control using Imazapyr Resistant (IR) maize in Western Kenya |
| dc.type | Book |
| cg.contributor.affiliation | African Agricultural Technology Foundation |
| cg.contributor.affiliation | International Institute of Tropical Agriculture |
| cg.contributor.affiliation | Kenya Agricultural Research Institute |
| cg.contributor.affiliation | Sokoine University of Agriculture |
| cg.coverage.region | Africa |
| cg.coverage.region | East Africa |
| cg.coverage.country | Kenya |
| cg.authorship.types | CGIAR and developing country institute |
| cg.iitasubject | Maize |
| cg.iitasubject | Food Security |
| cg.iitasubject | Gender |
| cg.iitasubject | Livelihoods |
| cg.iitasubject | Handling, Transport, Storage And Protection Of Agricultural Products |
| cg.iitasubject | Diseases Control |
| cg.iitasubject | Markets |
| cg.iitasubject | Nutrition |
| cg.iitasubject | Pests Of Plants |
| cg.iitasubject | Plant Breeding |
| cg.iitasubject | Plant Diseases |
| cg.iitasubject | Plant Production |
| cg.iitasubject | Smallholder Farmers |
| cg.iitasubject | Agribusiness |
| cg.accessibilitystatus | Limited Access |
| local.dspaceid | 93885 |
