SlideShare a Scribd company logo
1 of 8
Download to read offline
Food Science and Quality Management                                                           www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol 3, 2012

     Assessment of Farm Level Pesticide Use among Maize
                Farmers in Oyo State, Nigeria
                                                                     *
                                  Akeem Tijani, Sofoluwe Nurudeen

  Department of Agricultural Economics, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria
     *E-mail of the corresponding author: afolabiadisa@yahoo.com

Abstract
This study assessed the harmful and beneficial effects of pesticide use in maize production. It also
assessed the knowledge, attitude and practice of farmers about the use of pesticides. Data for the study
were collected from 120 randomly sampled maize farmers across nine (9) local government areas of
Oyo state. Majority (65%) found pesticides to be harmful while 39 per cent found it to be beneficial.
Results further shows diverse attitude of farmers to pesticide use. About 95 per cent make use of
hygienic practices while large numbers (66%) neglect safety rules due to poor education and
awareness. Overall, there is evidence of excessive use of pesticide by farmers which consequently
affects their health negatively. The use of pesticide is also found to contaminate water body. Major
policy thrusts for devising pesticide regulation and effective implementation, increasing farmers’
awareness of the effects of pesticide use, and increase provision safety materials are suggested to
safeguard maize farmers in their pursuit of agricultural livelihoods.
Key words: Pesticide use, Maize, Farmers’ awareness


1. Introduction

Maize (Zea mays) is an important cereal being cultivated in the rainforest and the derived savannah
zones of Nigeria. It is a very important staple food consumed by millions of Nigerians. Studies in
maize production and marketing in different parts of the country have shown an increasing importance
of this crop, amidst growing utilization by food processing industries and livestock feed mills. The crop
has thus become a local “cash crop” most especially in the south western part of Nigeria, where at least
30 per cent of the cropland has been put to maize production under various cropping systems (Ayeni, et
al., 1991).
The continued cultivation of maize as a staple food is however threatened by a number of problems,
including those of diseases and pests. Most of maize varieties are highly susceptible to downy mildew
disease, maize rust, leaf blight, maize streak, maize mottle / chronic stunt, curvularia leaf spot, stalk
and ear rots (Iken, .et al., 2004.). Insect pests, such as stem borers, armyworms, silkworms,
grasshoppers, termites and weevils also affect the yield of the crop.
Effective control of these pests and diseases require the use of chemical agents called pesticides.
The chemical agents called pesticides include herbicides (for weed control), insecticides, and
fungicides. Although some pesticides have been termed as major organic pollutants due to effects of
their source chemicals both on human health and the environment at large, yet some of these chemicals
are safe.
There is a high probability that pesticide use and pesticide – induced side effects will grow more
rapidly in developing countries as a whole than in the developed ones (Yudelman et al., 1998). This is
because of weak regulations banning the importation and use of dangerous chemicals and the inactivity
or absence of government and non - government environmental control agencies.
Despite the fact that dozens of pesticides are banned, severely restricted or unregistered in many
countries and despite their having been listed as hazardous by the World Health Organisation (WHO)
and Fajewonyomi (1995) stated that many of them are still widely promoted and applied especially in
developing countries where weak controls and dangerous work conditions make their impact even
more devastating. Papworth and Paharia (1978) stated that since pesticides by their very nature are
toxic and can be hazardous to users if not handled properly, their regulation through registration is of
great value to developing countries. It is not the increasing use of pesticides that warrants regulation

                                                   1
Food Science and Quality Management                                                            www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol 3, 2012
through suitable legislations but the tendency, through ignorance, for overuse, misuse or abuse of
pesticides. Pesticides are generally known to be toxic and can be hazardous to users if not properly
handled. This means that the high probability of pesticides use and pesticides induced side effect
growing in developing countries would be a reality if the farmers’ rate of awareness, knowledge,
attitudes and practices on pesticides use are not properly considered with necessary actions taken in
accordance to the recommendations. This study therefore assessed the general awareness of maize
farmers in Oyo State on their use of farm level pesticides. Specifically, the study seeks to assess the
socio economics of pesticide users; the level of awareness on the harmful and beneficial effects of
pesticides use as well as knowledge, attitudes and practice of pesticide use among maize farmers in the
study area.
The purpose of this study therefore is to expose the various levels of use of farm pesticides, and also to
reveal the various level of adoption by farmers in the study area. This would lead to a conspicuous
increase in overall maize production with a corresponding reduction in cost which is normally incurred
as a result of damages caused by the various maize pests and diseases known to be prevalent in maize
production.
2. METHODOLOGY
The study was conducted in Oyo state in the South-western part of Nigeria. The state is located
between latitudes 7 0 3′ and 9 0 12′ north of the equator and longitudes 2 0 47′ and 4 0 23′ east
of the Meridian, and covers a total land area of about 27, 249 square kilometers, with a ratio of almost
1:1 distribution of male to female population. The state has three agro-ecological zones, namely:
rainforest, savannah and derived savannah. The rainforest is characterized by high relative humidity
and supports the cultivation of tree crops like citrus, oil palm and cocoa as well as arable crops like
cassava, maize and yam. The vegetation of the savannah zone mainly supports the cultivation of crops
such as sorghum, maize, cowpea and yam, while the derived savannah combines the peculiar
characteristics of the first two.
Primary data for the study were collected in nine (9), maize producing local government area in Oyo-
state through the use of structured questionnaire. The nine local governments are Saki-west, Atisbo,
Saki-east, Orelope, Olorunsogo, Itesiwaju, Iwajowa, Kajola and Iseyin in the maize production year of
2009/2010 cropping season. A multistage purposive sampling technique was used to select one-
hundred and twenty (120) respondents were randomly sampled from the study area.


3. RESULTS AND DISCUSSION
The results of the analysis show the relevance of socio economic characteristics of respondents to
pesticide use. Age is an important factor among the socio economic characteristics that determines the
level of awareness of the farmers about the approved and banned chemicals. Aged farmers might not be
aware of the use of new chemicals due to lack of information or his inability to read government
directive. Most of them are more familiar and prefers the alchaic method of controlling pest some of
which are outdated, banned and no more in use again. Old age reduces the farmers’ ability to take risk
and hence their adoption of new techniques and ideas. The farmer tends to believe the old method since
it has been working for him over the years. The result from the field shows that the average age of
farmers in the maize farming in Oyo state is 50.1 years with a standard error of 9.08. Table 1 show that
the modal class of age is 41-50 years which constitute 46.0 per cent of the total respondents. This
shows that the people who are actively involved in the production of maize fall within the age of 41-50.
They are followed by the farmers within the age bracket 51-60 years which also constitute 27.0per cent
of the total respondents. The reason for this difference is that most of the maize farmers who seem to
be young are ready to go into maize production despise its risk compared to farmers who are relatively
old.
The marital status is an important factor that determines the per capita income of the farmer. When a
farmer has so many wives, that there will also be more children, this tends to reduce the farmers per
capita income because more number of people will depend on him for survival hence reducing his real
income. On the other hand, the family member could serve as source of labour for the farmer on his
farm. With a large family, application of pesticide on the farm will be easier and lesser number of hired
labour will be used. This will work if the children are youth. From Table 2, it is shown that majority of
the farmers in the area are married. The married maize farmers constitute 91.1 per cent of the total
population. None of the farmers are widow while very few percentage of the population 6.1 per cent is

                                                    2
Food Science and Quality Management                                                              www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol 3, 2012
single. This implies that the farmers will make use of their family members as sources of labour in
maize production.
Farmers’ awareness about pesticides should correlate with the educational status. Educated farmers can
read publications and access information on the internet while the uneducated ones cannot do this, thus
limiting their level of awareness due to lack of information. Moreover, illiterate farmers will find it
difficult in the correct application of the pesticides in the correct proportion. From Table 3, majority of
the respondents are illiterate taking 68 per cent of the total respondents while 32 percent are illiterates.
As the farmers level of education increase, its’ effects on agricultural production is meant to be
positive. This is due to the fact that an educated farmer is at advantage in understanding and adopting
new techniques of production. The more educated a farmer is, the more his decision making on the
farm is enhanced as he becomes a better manager of farm resources for increased productivity from the
set of farm inputs. From Table 4, farmers with only the primary education constitute the highest. They
constitute 47.0 per cent of the total population and this is followed by the famers with only secondary
education which also constitute 27.3 per cent of the total population. Farmers with tertiary education
constitute the lowest percentage which is 25.8 per cent. Illiterate farmers constitute above half of the
sampled respondents. This could hamper productivity and make enlightenment about the approved
pesticides by extension agent more tedious.
The size of the household has a significant effect on the resources available to the farmer in terms of
the labour and cost. Large household size poses a negative effect on the income. It reduces the
available income to the farmers because of the number of people that depends on the farmer for
survival. When the income is already reduced, farmers may find it difficult to incur more cost on
pesticides, hence large family size could reduce pesticide use. On the other hand, large family size
could reduce the hired labour cost required in the application of cocoa pesticides on the farm.
From the survey (Table 5), the modal class of the respondents falls within the range of 6 and 10. This
depicts that 44% of the respondents have a household size of between 6 and 10 people. If the
constituents of the household are mainly children, it is going to constitute an economic burden on the
farmer because they would rather be consumers rather than contributing whether directly or indirectly
to the farm labour. This modal class is followed by class 1-5 which has a total of 36 and this is also
followed directly by the class11-15 with 13% of the total respondents while the class 21-25 and 26-30
have least number of respondents summing up to 2% of the total respondents.
The distribution of farmers by primary occupation (Table 6) shows the proportion of the farmers that
are actively involved in coca farming and not the ones involved in the production of other crops. This
will reveal the level of active involvement and consequently high productivity that should be expected
from the primary enterprise. Some maize farmers are only involved as secondary cultivators. Table 6
shows that 78.0% of the total respondents in the area are actively involved in the production of cocoa,
5.0% are involved in trading, 3.0% are involved artisan and 14.0% are civil servant. This shows that
the right peg was put into the right hole by directing the survey to the farmers that are actively involved
in maize production.
Secondary occupation will help to determine the proportion of farmers that are involved in other
business or vocation. It shows whether the farmer is actually involved in the production of other crop to
generate more income or the farmer is only involved in maize production. From Table 7, 63.0% of the
respondents have farming as their major occupation i.e. they are not involved in any secondary
occupation. It shows that 12.0% of the respondents are artisans and 6.0% are actively involved in civil
service. Most of the farmers interviewed have their primary occupation to be farming.
Experience in farming is an important factor, because it is a significant element in skill acquisition.
Experience makes improvements possible which could in turn bring about increase in output, quality of
output, reduction in cost of production and brings about efficiency in the use of input. Experience is
expected to have positive influence on the managerial ability of the farmer. However, in some cases,
experience may have a negative effect on production as farmers might become discouraged after years
of repeated failures.


3.1 Harmful and Beneficial effects of pesticide
The pesticides used by the farmer constitute both positively and negatively to the output level of maize
produce by the respondents.


                                                     3
Food Science and Quality Management                                                              www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol 3, 2012
From Table 9, majority of the respondents attest that both control of insects and yielding of good
quality produce is a major beneficial effect of pesticide use on their farm. This takes 39% of the total
respondents. Most of the respondents acknowledged that pesticides use increases production, prevents
disease infestation and enhances the growth of the cacao tree. Most of the respondents use fertilizer on
their maize plot being an annual crop, this account for the reason why a few majorities of the
respondents (15.6%) said the use of pesticides gives good quality of maize because much attention
would have been drawn on the effect of fertilizer on yield of the crop.
Table 10 shows that the maize pesticides used by the respondents on their farm also pose some
detrimental effect on the farmers’ life, other property and the maize plant. It shows that excessive use
of the pesticide could even damage the maize stand which will eventually lead to loss on the part of the
farmer. About 64.9% of the respondents attested to the fact that pesticide usage affects their health
while 24.6% attested that it has residual effects on the soil. The use of pesticide also contaminates
water body thus killing the aquatic animals if it runs into the river. About 6% of the respondent are
currently experience this water pollution on their farm.


3.2 Knowledge, attitudes and practice of pesticides use
Table 11 shows the farmers’ knowledge, attitudes and practices of pesticides use. The farmers
recommended washing if pesticides splashed on their bodies but did not seem convinced of the benefit
of going to a health clinic. A few believed that working with pesticides should not be a problem at all,
while some others seem not to have any idea on what to do. Written information on pesticides
packaging was not read by most of the farmers and others do not give attention. Most of the
respondents believed that pest control workers should wear protective equipments while very few
believed in careful working as the protective measure during pesticides use. Although use of personal
protective devices minimizes the risk of direct contact and inhalation of aerosol pesticide formulation,
careful working is advisable in this kind of work.
Many of the respondents considered windy and sunny weather as a pertinent problem in the study area.
Wind plays a role in pesticides spraying. If it is against the spraying direction, it can distract the proper
spraying maneuver and take the chemical off target. Sunny weather usually results in rapid evaporation
of the chemical formulation which is undesirable. A vast majority of the respondents believed that lack
of personal protective devices is the major problem facing the application of pesticides.
Table 12 shows the personal hygiene and sanitation practices of the respondents during pesticide use.
The vast majority of the respondents wash hands before they ate or drank i.e. 95.5% while 3.4% do not
wash their hands and others summing up to 1.1% of the respondents wash their hands sometimes. On
personal hygiene, 94.3% of the total respondents do not eat, drink or smoke while working with
pesticides while 3.4% does and 2.3% claims to do it sometimes. Table 12 also shows that a vast
majority of the respondents do not keep their meals near pesticides and that very few percentage of the
respondents drink water near pesticide treated areas. The habit of taking a shower was apparently
common among the respondents with 71.6% of the total respondent doing it while 13.6 does not and
14.8 does it sometimes.
The table also shows that an overwhelming majority of the respondents change their clothes before and
after pesticide exposure. From the results observed generally, it is very obvious that there is a need to
raise the awareness of the farmers and bring some attitudinal change towards their conventional
practices. The level of education of the farmers could be one of the reasons for such behavior.
4. CONCLUSION AND RECOMMENDATION
The study assessed perception and awareness of maize farmers to the harmful and beneficial effects as
well as attitudes and practice of farmers to pesticide use in maize production. The finding shows that
the use of pesticide is generally beneficial. However, there is evidence of excessive use of pesticide by
farmers which consequently affects their health negatively. The use of pesticide also contaminates
water body thus killing the aquatic animals if it runs into the river. Pesticide regulatory policies and
program through pesticide safety education to farmers’ awareness of the harmful effects of pesticides
should be made by the government to safeguard maize farmers in the use of pesticides.


References


                                                     4
Food Science and Quality Management                                                          www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol 3, 2012
Ayeni, A.O. (1991), “Maize Production in Nigeria: Problems and Prospects”. Journal of Food and
Agriculture, 2: 123-129.
Fajewonyomi, B.A (1995), “Knowledge, attitudes and practices (KAP) of farmers regarding the use of
pesticides” A case study of a cocoa farming community in south- western Nigeria. Ife Journal of
Agriculture, 16 -17: 98-198.
Iken, J.E. & Amusa, N.A (2004), “Maize research and production in Nigeria” African Journal of
Biotechnology. 3: 301-307.
Papworth, D.S & Paharia, K.D (1978), “Value of pesticides registration regulation to developing
countries”. Plant Protection Bulletin, 24: 101-109.
Yudelman, M., Ratta, A. & Nygaard, D (1998), “Pest management and Food Production Food,
Agriculture and Environment” Discussion paper 25, IFPRI, Washington D.C. (1998).


Table 1: Distribution of respondents by age
Age                              Frequency                           Percentage (%)
21-30                            2                                   2.0
31-40                            11                                  11.0
41-50                            46                                  46.0
51-60                            27                                  27.0
61-70                            14                                  14.0
Total                            100                                 100
Source: Field Survey, 2010


Table 2: Distribution of Respondent by Marital Status
Marital Status                   Frequency                           Percentage (%)
Single                                 6                                   6.1
Married                                91                                  91.1
Divorce                                1                                   1.0
Widow                                  0                                   0.0
Widower                                1                                   1.0
Total                                 100                              100.0
Source: Field survey, 2010
Table 3 Distribution of Respondents by their educational status
Educational status                         frequency                percentage
Literate                                   32                        32.0
Illiterate                                 68                         68.0
Total                                   100                          100.0
Source: Field survey, 2010
Table 4: Distribution of Respondents by their levels of education
Level of Education                              frequency                            Percentage
Primary school                          31                                   47.0
Secondary school                        18                                   27.3
Tertiary school                         17                                   25.8
Total                                      66                                100.0
Source: Field survey, 2010



                                                      5
Food Science and Quality Management                                                  www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol 3, 2012
Table 5: Distribution of Respondents by Household Size
Household size                  Frequency                           Percentage (%)
1-5                             36                                  36.0
6-10                            44                                  44.0
11-15                           13                                  13.0
16-20                           5                                   5.0
21-25                           1                                   1.0
26-30                           1                                   1.0
Total                           100                                 100
Source: Field Survey, 2010
Table 6 Distribution of the Respondents by their Primary occupation
Primary occupation              Frequency                           Percentage (%)
Farming                         78                                  78.0
Trading                         5                                   5.0
Artisan                         3                                   3.0
Public service                  14                                  14.0
Others                          0                                   0.0
Total                           100                                 100
Source: Field Survey, 2010


Table 7 Distribution of Respondents by Secondary Occupation
Secondary occupation            Frequency                           Percentage (%)
Public Service                  6                                   6.0
Trading                         19                                  19.0
Artisan                         12                                  12.0
None                            63                                  63.0
Total                           100                                 100
Source: Field Survey, 2010
Table 8 Distribution of respondent by experience in maize production
Years of experience                   frequency           percentage
1-10                                  8                        8.0
11-20                                 32                      32.0
21-30                                 25                      25.0
31-40                                 22                      22.0
41-50                                 10                      10.0
51-60                                 3                       3.0
Total                                 100                     100
Source: Field survey, 2010.




                                                  6
Food Science and Quality Management                                                                www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol 3, 2012
Table 9 Distribution of respondents on beneficial effects of pesticides
Effects                                          Frequency                   Percentage
1. Control of maize weevil                          9                           14.1
2. Give good quality of maize                      10                               15.6
3. Both control and good quality                    25                              39.1
4. Increase yield of crop                          20                               31.3
Total                                              64                            100.0
Source: Field survey, 2010.
Table 10 perceptions of respondents on the harmful effects of pesticide use
Effects                                          Frequency                Percentage
Causes food poisoning                              37                        64.9
Has residual effect on soil                        14                        24.6
Causes pollution of water bodies                   6                         10.5
Total                                              57                        100.0
Source: Field survey, 2010.


Table 11 Responses of farmers to the knowledge, attitude and practice questions during pesticide
             use
 Questions and answers                                   frequency           percentage (%)
1. Have you ever split pesticide on your body?
  Yes                                                        73                            77.7
   No                                                        21                            22.3
   Total                                                     94                            100.0
2. How can you help a colleague during pesticide splash?
  Advice washing                                              61                            65.6
   Advice drink water                                         2                             2.2
   Go to health centre                                        15                            16.1
   No problem                                                 1                             1.0
   No idea                                                    14                            15.1
   Total                                                      93                           100.0
3. What protective measure do you take to protect yourself?
   Use of personal protective device                           64                          78.0
   Careful working                                            18                           22.0
   Total                                                      82                           100.0
4. Can you understand information written on pesticide package?
   Could not understand                                       38                           57.6
   Do not give attention                                      28                           2.4
   Total                                                      66                            100
5. What are the major problems faced during pesticide use?
   Lack of protective device                                      55                        62.5
   Windy day                                                      20                        22.7
   Sunny weather                                                  12                        13.6
   Others                                                         1                         1.1
   Total                                                          88                        100

                                                    7
Food Science and Quality Management                                                        www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol 3, 2012
6. What solution do you suggest to promote safe pesticide use?
   Avoid windy and sunny weather                              12                 12.6
   Proper use of personal protective device                   26                 27.4
   Training                                                   32                 33.7
   No solution                                                   7                   7.4
   All of the above                                           18                     18.9
   Total                                                      95                 100.0
Source: Field survey, 2010.



Table 12 Responses (%) of the respondents to personal hygiene and sanitation practices
Activity                                      Yes                    No      Sometimes
1.Wash hands                                     95.5                  3.4      1.1
2. Eat/drink/smoke during work with pesticides      3.4               94.3      2.3
3. Keep meals near pesticides                       2.3               96.6      1.1
4. Drink water near pesticide treated areas      2.3                  90.8     6.9
5. Shower after pesticide exposure                  71.6              13.6     14.8
6. Change clothing before and after pesticide exposure 85.4            2.2     12.4
Source: Field survey, 2010.




                                                    8

More Related Content

What's hot

Influence of fertilizers on incidence and severity of early blight and late b...
Influence of fertilizers on incidence and severity of early blight and late b...Influence of fertilizers on incidence and severity of early blight and late b...
Influence of fertilizers on incidence and severity of early blight and late b...Innspub Net
 
Perception of Cattle Herdsmen on the use of Information and Communication Tec...
Perception of Cattle Herdsmen on the use of Information and Communication Tec...Perception of Cattle Herdsmen on the use of Information and Communication Tec...
Perception of Cattle Herdsmen on the use of Information and Communication Tec...AI Publications
 
Factors influencing fertilizer use intensity among small holder crop farmers ...
Factors influencing fertilizer use intensity among small holder crop farmers ...Factors influencing fertilizer use intensity among small holder crop farmers ...
Factors influencing fertilizer use intensity among small holder crop farmers ...Alexander Decker
 
11.factors influencing fertilizer use intensity among small holder crop farme...
11.factors influencing fertilizer use intensity among small holder crop farme...11.factors influencing fertilizer use intensity among small holder crop farme...
11.factors influencing fertilizer use intensity among small holder crop farme...Alexander Decker
 
Postharvest spoilage of tomato (lycopersicon esculentum mill.) and control st...
Postharvest spoilage of tomato (lycopersicon esculentum mill.) and control st...Postharvest spoilage of tomato (lycopersicon esculentum mill.) and control st...
Postharvest spoilage of tomato (lycopersicon esculentum mill.) and control st...Alexander Decker
 
Postharvest quality of commercial tomato (lycopersicon esculentum mill.) frui...
Postharvest quality of commercial tomato (lycopersicon esculentum mill.) frui...Postharvest quality of commercial tomato (lycopersicon esculentum mill.) frui...
Postharvest quality of commercial tomato (lycopersicon esculentum mill.) frui...Alexander Decker
 
Farmers’ perception and farming practices on the effect of early and late lea...
Farmers’ perception and farming practices on the effect of early and late lea...Farmers’ perception and farming practices on the effect of early and late lea...
Farmers’ perception and farming practices on the effect of early and late lea...Alexander Decker
 
Survey and Identification of Rice Diseases in South Gondar Zone, Amhara Regio...
Survey and Identification of Rice Diseases in South Gondar Zone, Amhara Regio...Survey and Identification of Rice Diseases in South Gondar Zone, Amhara Regio...
Survey and Identification of Rice Diseases in South Gondar Zone, Amhara Regio...Journal of Agriculture and Crops
 
11.[1 13]adoption of modern agricultural production technologies by farm hous...
11.[1 13]adoption of modern agricultural production technologies by farm hous...11.[1 13]adoption of modern agricultural production technologies by farm hous...
11.[1 13]adoption of modern agricultural production technologies by farm hous...Alexander Decker
 
Participatory on farm evaluation of improved bread wheat technologies in some...
Participatory on farm evaluation of improved bread wheat technologies in some...Participatory on farm evaluation of improved bread wheat technologies in some...
Participatory on farm evaluation of improved bread wheat technologies in some...Alexander Decker
 
Survey of diseases of major crops in Darolebu district, West Hararge, Ethiopia
Survey of diseases of major crops in Darolebu district, West Hararge, EthiopiaSurvey of diseases of major crops in Darolebu district, West Hararge, Ethiopia
Survey of diseases of major crops in Darolebu district, West Hararge, EthiopiaPremier Publishers
 
Adoption of Aquaculture Technologies among Fish Farmers in Oluyole Local Gove...
Adoption of Aquaculture Technologies among Fish Farmers in Oluyole Local Gove...Adoption of Aquaculture Technologies among Fish Farmers in Oluyole Local Gove...
Adoption of Aquaculture Technologies among Fish Farmers in Oluyole Local Gove...AI Publications
 
Changes in Aflatoxins Contents of the Maize (Zea Mays L.) Stored in Clay Gran...
Changes in Aflatoxins Contents of the Maize (Zea Mays L.) Stored in Clay Gran...Changes in Aflatoxins Contents of the Maize (Zea Mays L.) Stored in Clay Gran...
Changes in Aflatoxins Contents of the Maize (Zea Mays L.) Stored in Clay Gran...Agriculture Journal IJOEAR
 
Assessment of Pest Severity and Biological Parameters of Bactrocera minax in ...
Assessment of Pest Severity and Biological Parameters of Bactrocera minax in ...Assessment of Pest Severity and Biological Parameters of Bactrocera minax in ...
Assessment of Pest Severity and Biological Parameters of Bactrocera minax in ...AI Publications
 
An agro economic performance of maize under different weeding regimes
An agro economic performance of maize under different weeding regimesAn agro economic performance of maize under different weeding regimes
An agro economic performance of maize under different weeding regimesAlexander Decker
 
Perception of farmers’ on insect pests’ control and insecticide usage pattern...
Perception of farmers’ on insect pests’ control and insecticide usage pattern...Perception of farmers’ on insect pests’ control and insecticide usage pattern...
Perception of farmers’ on insect pests’ control and insecticide usage pattern...Sachin U.S
 
Determinants of Food Security Status among Irrigated Vegetable Farmers in Nor...
Determinants of Food Security Status among Irrigated Vegetable Farmers in Nor...Determinants of Food Security Status among Irrigated Vegetable Farmers in Nor...
Determinants of Food Security Status among Irrigated Vegetable Farmers in Nor...BRNSS Publication Hub
 

What's hot (18)

Influence of fertilizers on incidence and severity of early blight and late b...
Influence of fertilizers on incidence and severity of early blight and late b...Influence of fertilizers on incidence and severity of early blight and late b...
Influence of fertilizers on incidence and severity of early blight and late b...
 
Perception of Cattle Herdsmen on the use of Information and Communication Tec...
Perception of Cattle Herdsmen on the use of Information and Communication Tec...Perception of Cattle Herdsmen on the use of Information and Communication Tec...
Perception of Cattle Herdsmen on the use of Information and Communication Tec...
 
Factors influencing fertilizer use intensity among small holder crop farmers ...
Factors influencing fertilizer use intensity among small holder crop farmers ...Factors influencing fertilizer use intensity among small holder crop farmers ...
Factors influencing fertilizer use intensity among small holder crop farmers ...
 
11.factors influencing fertilizer use intensity among small holder crop farme...
11.factors influencing fertilizer use intensity among small holder crop farme...11.factors influencing fertilizer use intensity among small holder crop farme...
11.factors influencing fertilizer use intensity among small holder crop farme...
 
Postharvest spoilage of tomato (lycopersicon esculentum mill.) and control st...
Postharvest spoilage of tomato (lycopersicon esculentum mill.) and control st...Postharvest spoilage of tomato (lycopersicon esculentum mill.) and control st...
Postharvest spoilage of tomato (lycopersicon esculentum mill.) and control st...
 
Postharvest quality of commercial tomato (lycopersicon esculentum mill.) frui...
Postharvest quality of commercial tomato (lycopersicon esculentum mill.) frui...Postharvest quality of commercial tomato (lycopersicon esculentum mill.) frui...
Postharvest quality of commercial tomato (lycopersicon esculentum mill.) frui...
 
Farmers’ perception and farming practices on the effect of early and late lea...
Farmers’ perception and farming practices on the effect of early and late lea...Farmers’ perception and farming practices on the effect of early and late lea...
Farmers’ perception and farming practices on the effect of early and late lea...
 
Survey and Identification of Rice Diseases in South Gondar Zone, Amhara Regio...
Survey and Identification of Rice Diseases in South Gondar Zone, Amhara Regio...Survey and Identification of Rice Diseases in South Gondar Zone, Amhara Regio...
Survey and Identification of Rice Diseases in South Gondar Zone, Amhara Regio...
 
11.[1 13]adoption of modern agricultural production technologies by farm hous...
11.[1 13]adoption of modern agricultural production technologies by farm hous...11.[1 13]adoption of modern agricultural production technologies by farm hous...
11.[1 13]adoption of modern agricultural production technologies by farm hous...
 
Participatory on farm evaluation of improved bread wheat technologies in some...
Participatory on farm evaluation of improved bread wheat technologies in some...Participatory on farm evaluation of improved bread wheat technologies in some...
Participatory on farm evaluation of improved bread wheat technologies in some...
 
Survey of diseases of major crops in Darolebu district, West Hararge, Ethiopia
Survey of diseases of major crops in Darolebu district, West Hararge, EthiopiaSurvey of diseases of major crops in Darolebu district, West Hararge, Ethiopia
Survey of diseases of major crops in Darolebu district, West Hararge, Ethiopia
 
Adoption of Aquaculture Technologies among Fish Farmers in Oluyole Local Gove...
Adoption of Aquaculture Technologies among Fish Farmers in Oluyole Local Gove...Adoption of Aquaculture Technologies among Fish Farmers in Oluyole Local Gove...
Adoption of Aquaculture Technologies among Fish Farmers in Oluyole Local Gove...
 
Changes in Aflatoxins Contents of the Maize (Zea Mays L.) Stored in Clay Gran...
Changes in Aflatoxins Contents of the Maize (Zea Mays L.) Stored in Clay Gran...Changes in Aflatoxins Contents of the Maize (Zea Mays L.) Stored in Clay Gran...
Changes in Aflatoxins Contents of the Maize (Zea Mays L.) Stored in Clay Gran...
 
Assessment of Pest Severity and Biological Parameters of Bactrocera minax in ...
Assessment of Pest Severity and Biological Parameters of Bactrocera minax in ...Assessment of Pest Severity and Biological Parameters of Bactrocera minax in ...
Assessment of Pest Severity and Biological Parameters of Bactrocera minax in ...
 
Impact of Pests on Stored Cereal Crops in Selected Market Sites of Axum Town,...
Impact of Pests on Stored Cereal Crops in Selected Market Sites of Axum Town,...Impact of Pests on Stored Cereal Crops in Selected Market Sites of Axum Town,...
Impact of Pests on Stored Cereal Crops in Selected Market Sites of Axum Town,...
 
An agro economic performance of maize under different weeding regimes
An agro economic performance of maize under different weeding regimesAn agro economic performance of maize under different weeding regimes
An agro economic performance of maize under different weeding regimes
 
Perception of farmers’ on insect pests’ control and insecticide usage pattern...
Perception of farmers’ on insect pests’ control and insecticide usage pattern...Perception of farmers’ on insect pests’ control and insecticide usage pattern...
Perception of farmers’ on insect pests’ control and insecticide usage pattern...
 
Determinants of Food Security Status among Irrigated Vegetable Farmers in Nor...
Determinants of Food Security Status among Irrigated Vegetable Farmers in Nor...Determinants of Food Security Status among Irrigated Vegetable Farmers in Nor...
Determinants of Food Security Status among Irrigated Vegetable Farmers in Nor...
 

Similar to Assessment of farm level pesticide use among maize farmers in oyo state, nigeria

JAAR, Vol 11 N0.1 August 2023.
JAAR, Vol 11 N0.1 August 2023.JAAR, Vol 11 N0.1 August 2023.
JAAR, Vol 11 N0.1 August 2023.ARCN
 
Herbicides perception and utilization among cassava farmers in Delta State, N...
Herbicides perception and utilization among cassava farmers in Delta State, N...Herbicides perception and utilization among cassava farmers in Delta State, N...
Herbicides perception and utilization among cassava farmers in Delta State, N...Open Access Research Paper
 
Evaluation of Pesticide Safety Measures Adopted by Potato Farmers in Chebiemi...
Evaluation of Pesticide Safety Measures Adopted by Potato Farmers in Chebiemi...Evaluation of Pesticide Safety Measures Adopted by Potato Farmers in Chebiemi...
Evaluation of Pesticide Safety Measures Adopted by Potato Farmers in Chebiemi...BRNSSPublicationHubI
 
Impact of Pesticides on Farmer’s Health of Western Odisha
Impact of Pesticides on Farmer’s Health of Western OdishaImpact of Pesticides on Farmer’s Health of Western Odisha
Impact of Pesticides on Farmer’s Health of Western OdishaAgriculture Journal IJOEAR
 
Fall armyworm infestation and management practices on maize fields of smallho...
Fall armyworm infestation and management practices on maize fields of smallho...Fall armyworm infestation and management practices on maize fields of smallho...
Fall armyworm infestation and management practices on maize fields of smallho...INNS PUBNET
 
An assessment of the determinants of moringa cultivation among small scale fa...
An assessment of the determinants of moringa cultivation among small scale fa...An assessment of the determinants of moringa cultivation among small scale fa...
An assessment of the determinants of moringa cultivation among small scale fa...Alexander Decker
 
Measuring the economic performance of smallholder organic maize farms; Implic...
Measuring the economic performance of smallholder organic maize farms; Implic...Measuring the economic performance of smallholder organic maize farms; Implic...
Measuring the economic performance of smallholder organic maize farms; Implic...Olutosin Ademola Otekunrin
 
article 3 o i i r j . o r g- 3 An Analysis of Socio.pdf
article 3 o i i r j . o r g-  3 An Analysis of Socio.pdfarticle 3 o i i r j . o r g-  3 An Analysis of Socio.pdf
article 3 o i i r j . o r g- 3 An Analysis of Socio.pdfEducational
 
Article 3 An Analysis of Socio Economic Background of Organic Farmers A Study...
Article 3 An Analysis of Socio Economic Background of Organic Farmers A Study...Article 3 An Analysis of Socio Economic Background of Organic Farmers A Study...
Article 3 An Analysis of Socio Economic Background of Organic Farmers A Study...Dr UMA K
 
Comparative economic analysis of organic and inorganic wheat
Comparative economic analysis of organic and inorganic wheatComparative economic analysis of organic and inorganic wheat
Comparative economic analysis of organic and inorganic wheatsanaullah noonari
 
Consumer Awareness and Satisfaction towards Organic Products in Palakkad Dist...
Consumer Awareness and Satisfaction towards Organic Products in Palakkad Dist...Consumer Awareness and Satisfaction towards Organic Products in Palakkad Dist...
Consumer Awareness and Satisfaction towards Organic Products in Palakkad Dist...ijtsrd
 
Practices and Knowledge on Environmental and Health Hazards of Pesticides Use...
Practices and Knowledge on Environmental and Health Hazards of Pesticides Use...Practices and Knowledge on Environmental and Health Hazards of Pesticides Use...
Practices and Knowledge on Environmental and Health Hazards of Pesticides Use...Kenneth Barrientos
 
Assessment of Factors Limiting Production of Citrus among Smallholder Farmers...
Assessment of Factors Limiting Production of Citrus among Smallholder Farmers...Assessment of Factors Limiting Production of Citrus among Smallholder Farmers...
Assessment of Factors Limiting Production of Citrus among Smallholder Farmers...Journal of Agriculture and Crops
 
Sustainability of scientific maize cultivation practices in uttar pradesh, india
Sustainability of scientific maize cultivation practices in uttar pradesh, indiaSustainability of scientific maize cultivation practices in uttar pradesh, india
Sustainability of scientific maize cultivation practices in uttar pradesh, indiaAlexander Decker
 
Diagnostic analysis of variables of non adoption of rice technology by farmer...
Diagnostic analysis of variables of non adoption of rice technology by farmer...Diagnostic analysis of variables of non adoption of rice technology by farmer...
Diagnostic analysis of variables of non adoption of rice technology by farmer...Alexander Decker
 
Influence of farmer characteristics on the production of groundnuts, a case o...
Influence of farmer characteristics on the production of groundnuts, a case o...Influence of farmer characteristics on the production of groundnuts, a case o...
Influence of farmer characteristics on the production of groundnuts, a case o...paperpublications3
 
Impact of Frontline Demonstration (Fld’s) On Adoption Behavior of Soybean Gro...
Impact of Frontline Demonstration (Fld’s) On Adoption Behavior of Soybean Gro...Impact of Frontline Demonstration (Fld’s) On Adoption Behavior of Soybean Gro...
Impact of Frontline Demonstration (Fld’s) On Adoption Behavior of Soybean Gro...iosrjce
 
Effects of farmers’ demographic factors on the adoption of grain
Effects of farmers’ demographic factors on the adoption of grainEffects of farmers’ demographic factors on the adoption of grain
Effects of farmers’ demographic factors on the adoption of grainAlexander Decker
 

Similar to Assessment of farm level pesticide use among maize farmers in oyo state, nigeria (20)

JAAR, Vol 11 N0.1 August 2023.
JAAR, Vol 11 N0.1 August 2023.JAAR, Vol 11 N0.1 August 2023.
JAAR, Vol 11 N0.1 August 2023.
 
Herbicides perception and utilization among cassava farmers in Delta State, N...
Herbicides perception and utilization among cassava farmers in Delta State, N...Herbicides perception and utilization among cassava farmers in Delta State, N...
Herbicides perception and utilization among cassava farmers in Delta State, N...
 
Evaluation of Pesticide Safety Measures Adopted by Potato Farmers in Chebiemi...
Evaluation of Pesticide Safety Measures Adopted by Potato Farmers in Chebiemi...Evaluation of Pesticide Safety Measures Adopted by Potato Farmers in Chebiemi...
Evaluation of Pesticide Safety Measures Adopted by Potato Farmers in Chebiemi...
 
Impact of Pesticides on Farmer’s Health of Western Odisha
Impact of Pesticides on Farmer’s Health of Western OdishaImpact of Pesticides on Farmer’s Health of Western Odisha
Impact of Pesticides on Farmer’s Health of Western Odisha
 
Fall armyworm infestation and management practices on maize fields of smallho...
Fall armyworm infestation and management practices on maize fields of smallho...Fall armyworm infestation and management practices on maize fields of smallho...
Fall armyworm infestation and management practices on maize fields of smallho...
 
An assessment of the determinants of moringa cultivation among small scale fa...
An assessment of the determinants of moringa cultivation among small scale fa...An assessment of the determinants of moringa cultivation among small scale fa...
An assessment of the determinants of moringa cultivation among small scale fa...
 
Measuring the economic performance of smallholder organic maize farms; Implic...
Measuring the economic performance of smallholder organic maize farms; Implic...Measuring the economic performance of smallholder organic maize farms; Implic...
Measuring the economic performance of smallholder organic maize farms; Implic...
 
article 3 o i i r j . o r g- 3 An Analysis of Socio.pdf
article 3 o i i r j . o r g-  3 An Analysis of Socio.pdfarticle 3 o i i r j . o r g-  3 An Analysis of Socio.pdf
article 3 o i i r j . o r g- 3 An Analysis of Socio.pdf
 
Article 3 An Analysis of Socio Economic Background of Organic Farmers A Study...
Article 3 An Analysis of Socio Economic Background of Organic Farmers A Study...Article 3 An Analysis of Socio Economic Background of Organic Farmers A Study...
Article 3 An Analysis of Socio Economic Background of Organic Farmers A Study...
 
Comparative economic analysis of organic and inorganic wheat
Comparative economic analysis of organic and inorganic wheatComparative economic analysis of organic and inorganic wheat
Comparative economic analysis of organic and inorganic wheat
 
Consumer Awareness and Satisfaction towards Organic Products in Palakkad Dist...
Consumer Awareness and Satisfaction towards Organic Products in Palakkad Dist...Consumer Awareness and Satisfaction towards Organic Products in Palakkad Dist...
Consumer Awareness and Satisfaction towards Organic Products in Palakkad Dist...
 
Practices and
Practices and Practices and
Practices and
 
Practices and Knowledge on Environmental and Health Hazards of Pesticides Use...
Practices and Knowledge on Environmental and Health Hazards of Pesticides Use...Practices and Knowledge on Environmental and Health Hazards of Pesticides Use...
Practices and Knowledge on Environmental and Health Hazards of Pesticides Use...
 
Assessment of Factors Limiting Production of Citrus among Smallholder Farmers...
Assessment of Factors Limiting Production of Citrus among Smallholder Farmers...Assessment of Factors Limiting Production of Citrus among Smallholder Farmers...
Assessment of Factors Limiting Production of Citrus among Smallholder Farmers...
 
Sustainability of scientific maize cultivation practices in uttar pradesh, india
Sustainability of scientific maize cultivation practices in uttar pradesh, indiaSustainability of scientific maize cultivation practices in uttar pradesh, india
Sustainability of scientific maize cultivation practices in uttar pradesh, india
 
Diagnostic analysis of variables of non adoption of rice technology by farmer...
Diagnostic analysis of variables of non adoption of rice technology by farmer...Diagnostic analysis of variables of non adoption of rice technology by farmer...
Diagnostic analysis of variables of non adoption of rice technology by farmer...
 
Influence of farmer characteristics on the production of groundnuts, a case o...
Influence of farmer characteristics on the production of groundnuts, a case o...Influence of farmer characteristics on the production of groundnuts, a case o...
Influence of farmer characteristics on the production of groundnuts, a case o...
 
Impact of Frontline Demonstration (Fld’s) On Adoption Behavior of Soybean Gro...
Impact of Frontline Demonstration (Fld’s) On Adoption Behavior of Soybean Gro...Impact of Frontline Demonstration (Fld’s) On Adoption Behavior of Soybean Gro...
Impact of Frontline Demonstration (Fld’s) On Adoption Behavior of Soybean Gro...
 
Effects of farmers’ demographic factors on the adoption of grain
Effects of farmers’ demographic factors on the adoption of grainEffects of farmers’ demographic factors on the adoption of grain
Effects of farmers’ demographic factors on the adoption of grain
 
D0371018026
D0371018026D0371018026
D0371018026
 

More from Alexander Decker

Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...Alexander Decker
 
A validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale inA validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale inAlexander Decker
 
A usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websitesA usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websitesAlexander Decker
 
A universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banksA universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banksAlexander Decker
 
A unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dA unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dAlexander Decker
 
A trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistanceA trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistanceAlexander Decker
 
A transformational generative approach towards understanding al-istifham
A transformational  generative approach towards understanding al-istifhamA transformational  generative approach towards understanding al-istifham
A transformational generative approach towards understanding al-istifhamAlexander Decker
 
A time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibiaA time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibiaAlexander Decker
 
A therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school childrenA therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school childrenAlexander Decker
 
A theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banksA theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banksAlexander Decker
 
A systematic evaluation of link budget for
A systematic evaluation of link budget forA systematic evaluation of link budget for
A systematic evaluation of link budget forAlexander Decker
 
A synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjabA synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjabAlexander Decker
 
A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...Alexander Decker
 
A survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incrementalA survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incrementalAlexander Decker
 
A survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniquesA survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniquesAlexander Decker
 
A survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo dbA survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo dbAlexander Decker
 
A survey on challenges to the media cloud
A survey on challenges to the media cloudA survey on challenges to the media cloud
A survey on challenges to the media cloudAlexander Decker
 
A survey of provenance leveraged
A survey of provenance leveragedA survey of provenance leveraged
A survey of provenance leveragedAlexander Decker
 
A survey of private equity investments in kenya
A survey of private equity investments in kenyaA survey of private equity investments in kenya
A survey of private equity investments in kenyaAlexander Decker
 
A study to measures the financial health of
A study to measures the financial health ofA study to measures the financial health of
A study to measures the financial health ofAlexander Decker
 

More from Alexander Decker (20)

Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...
 
A validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale inA validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale in
 
A usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websitesA usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websites
 
A universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banksA universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banks
 
A unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dA unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized d
 
A trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistanceA trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistance
 
A transformational generative approach towards understanding al-istifham
A transformational  generative approach towards understanding al-istifhamA transformational  generative approach towards understanding al-istifham
A transformational generative approach towards understanding al-istifham
 
A time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibiaA time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibia
 
A therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school childrenA therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school children
 
A theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banksA theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banks
 
A systematic evaluation of link budget for
A systematic evaluation of link budget forA systematic evaluation of link budget for
A systematic evaluation of link budget for
 
A synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjabA synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjab
 
A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...
 
A survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incrementalA survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incremental
 
A survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniquesA survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniques
 
A survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo dbA survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo db
 
A survey on challenges to the media cloud
A survey on challenges to the media cloudA survey on challenges to the media cloud
A survey on challenges to the media cloud
 
A survey of provenance leveraged
A survey of provenance leveragedA survey of provenance leveraged
A survey of provenance leveraged
 
A survey of private equity investments in kenya
A survey of private equity investments in kenyaA survey of private equity investments in kenya
A survey of private equity investments in kenya
 
A study to measures the financial health of
A study to measures the financial health ofA study to measures the financial health of
A study to measures the financial health of
 

Recently uploaded

My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfngoud9212
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 

Recently uploaded (20)

My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdf
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 

Assessment of farm level pesticide use among maize farmers in oyo state, nigeria

  • 1. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol 3, 2012 Assessment of Farm Level Pesticide Use among Maize Farmers in Oyo State, Nigeria * Akeem Tijani, Sofoluwe Nurudeen Department of Agricultural Economics, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria *E-mail of the corresponding author: afolabiadisa@yahoo.com Abstract This study assessed the harmful and beneficial effects of pesticide use in maize production. It also assessed the knowledge, attitude and practice of farmers about the use of pesticides. Data for the study were collected from 120 randomly sampled maize farmers across nine (9) local government areas of Oyo state. Majority (65%) found pesticides to be harmful while 39 per cent found it to be beneficial. Results further shows diverse attitude of farmers to pesticide use. About 95 per cent make use of hygienic practices while large numbers (66%) neglect safety rules due to poor education and awareness. Overall, there is evidence of excessive use of pesticide by farmers which consequently affects their health negatively. The use of pesticide is also found to contaminate water body. Major policy thrusts for devising pesticide regulation and effective implementation, increasing farmers’ awareness of the effects of pesticide use, and increase provision safety materials are suggested to safeguard maize farmers in their pursuit of agricultural livelihoods. Key words: Pesticide use, Maize, Farmers’ awareness 1. Introduction Maize (Zea mays) is an important cereal being cultivated in the rainforest and the derived savannah zones of Nigeria. It is a very important staple food consumed by millions of Nigerians. Studies in maize production and marketing in different parts of the country have shown an increasing importance of this crop, amidst growing utilization by food processing industries and livestock feed mills. The crop has thus become a local “cash crop” most especially in the south western part of Nigeria, where at least 30 per cent of the cropland has been put to maize production under various cropping systems (Ayeni, et al., 1991). The continued cultivation of maize as a staple food is however threatened by a number of problems, including those of diseases and pests. Most of maize varieties are highly susceptible to downy mildew disease, maize rust, leaf blight, maize streak, maize mottle / chronic stunt, curvularia leaf spot, stalk and ear rots (Iken, .et al., 2004.). Insect pests, such as stem borers, armyworms, silkworms, grasshoppers, termites and weevils also affect the yield of the crop. Effective control of these pests and diseases require the use of chemical agents called pesticides. The chemical agents called pesticides include herbicides (for weed control), insecticides, and fungicides. Although some pesticides have been termed as major organic pollutants due to effects of their source chemicals both on human health and the environment at large, yet some of these chemicals are safe. There is a high probability that pesticide use and pesticide – induced side effects will grow more rapidly in developing countries as a whole than in the developed ones (Yudelman et al., 1998). This is because of weak regulations banning the importation and use of dangerous chemicals and the inactivity or absence of government and non - government environmental control agencies. Despite the fact that dozens of pesticides are banned, severely restricted or unregistered in many countries and despite their having been listed as hazardous by the World Health Organisation (WHO) and Fajewonyomi (1995) stated that many of them are still widely promoted and applied especially in developing countries where weak controls and dangerous work conditions make their impact even more devastating. Papworth and Paharia (1978) stated that since pesticides by their very nature are toxic and can be hazardous to users if not handled properly, their regulation through registration is of great value to developing countries. It is not the increasing use of pesticides that warrants regulation 1
  • 2. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol 3, 2012 through suitable legislations but the tendency, through ignorance, for overuse, misuse or abuse of pesticides. Pesticides are generally known to be toxic and can be hazardous to users if not properly handled. This means that the high probability of pesticides use and pesticides induced side effect growing in developing countries would be a reality if the farmers’ rate of awareness, knowledge, attitudes and practices on pesticides use are not properly considered with necessary actions taken in accordance to the recommendations. This study therefore assessed the general awareness of maize farmers in Oyo State on their use of farm level pesticides. Specifically, the study seeks to assess the socio economics of pesticide users; the level of awareness on the harmful and beneficial effects of pesticides use as well as knowledge, attitudes and practice of pesticide use among maize farmers in the study area. The purpose of this study therefore is to expose the various levels of use of farm pesticides, and also to reveal the various level of adoption by farmers in the study area. This would lead to a conspicuous increase in overall maize production with a corresponding reduction in cost which is normally incurred as a result of damages caused by the various maize pests and diseases known to be prevalent in maize production. 2. METHODOLOGY The study was conducted in Oyo state in the South-western part of Nigeria. The state is located between latitudes 7 0 3′ and 9 0 12′ north of the equator and longitudes 2 0 47′ and 4 0 23′ east of the Meridian, and covers a total land area of about 27, 249 square kilometers, with a ratio of almost 1:1 distribution of male to female population. The state has three agro-ecological zones, namely: rainforest, savannah and derived savannah. The rainforest is characterized by high relative humidity and supports the cultivation of tree crops like citrus, oil palm and cocoa as well as arable crops like cassava, maize and yam. The vegetation of the savannah zone mainly supports the cultivation of crops such as sorghum, maize, cowpea and yam, while the derived savannah combines the peculiar characteristics of the first two. Primary data for the study were collected in nine (9), maize producing local government area in Oyo- state through the use of structured questionnaire. The nine local governments are Saki-west, Atisbo, Saki-east, Orelope, Olorunsogo, Itesiwaju, Iwajowa, Kajola and Iseyin in the maize production year of 2009/2010 cropping season. A multistage purposive sampling technique was used to select one- hundred and twenty (120) respondents were randomly sampled from the study area. 3. RESULTS AND DISCUSSION The results of the analysis show the relevance of socio economic characteristics of respondents to pesticide use. Age is an important factor among the socio economic characteristics that determines the level of awareness of the farmers about the approved and banned chemicals. Aged farmers might not be aware of the use of new chemicals due to lack of information or his inability to read government directive. Most of them are more familiar and prefers the alchaic method of controlling pest some of which are outdated, banned and no more in use again. Old age reduces the farmers’ ability to take risk and hence their adoption of new techniques and ideas. The farmer tends to believe the old method since it has been working for him over the years. The result from the field shows that the average age of farmers in the maize farming in Oyo state is 50.1 years with a standard error of 9.08. Table 1 show that the modal class of age is 41-50 years which constitute 46.0 per cent of the total respondents. This shows that the people who are actively involved in the production of maize fall within the age of 41-50. They are followed by the farmers within the age bracket 51-60 years which also constitute 27.0per cent of the total respondents. The reason for this difference is that most of the maize farmers who seem to be young are ready to go into maize production despise its risk compared to farmers who are relatively old. The marital status is an important factor that determines the per capita income of the farmer. When a farmer has so many wives, that there will also be more children, this tends to reduce the farmers per capita income because more number of people will depend on him for survival hence reducing his real income. On the other hand, the family member could serve as source of labour for the farmer on his farm. With a large family, application of pesticide on the farm will be easier and lesser number of hired labour will be used. This will work if the children are youth. From Table 2, it is shown that majority of the farmers in the area are married. The married maize farmers constitute 91.1 per cent of the total population. None of the farmers are widow while very few percentage of the population 6.1 per cent is 2
  • 3. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol 3, 2012 single. This implies that the farmers will make use of their family members as sources of labour in maize production. Farmers’ awareness about pesticides should correlate with the educational status. Educated farmers can read publications and access information on the internet while the uneducated ones cannot do this, thus limiting their level of awareness due to lack of information. Moreover, illiterate farmers will find it difficult in the correct application of the pesticides in the correct proportion. From Table 3, majority of the respondents are illiterate taking 68 per cent of the total respondents while 32 percent are illiterates. As the farmers level of education increase, its’ effects on agricultural production is meant to be positive. This is due to the fact that an educated farmer is at advantage in understanding and adopting new techniques of production. The more educated a farmer is, the more his decision making on the farm is enhanced as he becomes a better manager of farm resources for increased productivity from the set of farm inputs. From Table 4, farmers with only the primary education constitute the highest. They constitute 47.0 per cent of the total population and this is followed by the famers with only secondary education which also constitute 27.3 per cent of the total population. Farmers with tertiary education constitute the lowest percentage which is 25.8 per cent. Illiterate farmers constitute above half of the sampled respondents. This could hamper productivity and make enlightenment about the approved pesticides by extension agent more tedious. The size of the household has a significant effect on the resources available to the farmer in terms of the labour and cost. Large household size poses a negative effect on the income. It reduces the available income to the farmers because of the number of people that depends on the farmer for survival. When the income is already reduced, farmers may find it difficult to incur more cost on pesticides, hence large family size could reduce pesticide use. On the other hand, large family size could reduce the hired labour cost required in the application of cocoa pesticides on the farm. From the survey (Table 5), the modal class of the respondents falls within the range of 6 and 10. This depicts that 44% of the respondents have a household size of between 6 and 10 people. If the constituents of the household are mainly children, it is going to constitute an economic burden on the farmer because they would rather be consumers rather than contributing whether directly or indirectly to the farm labour. This modal class is followed by class 1-5 which has a total of 36 and this is also followed directly by the class11-15 with 13% of the total respondents while the class 21-25 and 26-30 have least number of respondents summing up to 2% of the total respondents. The distribution of farmers by primary occupation (Table 6) shows the proportion of the farmers that are actively involved in coca farming and not the ones involved in the production of other crops. This will reveal the level of active involvement and consequently high productivity that should be expected from the primary enterprise. Some maize farmers are only involved as secondary cultivators. Table 6 shows that 78.0% of the total respondents in the area are actively involved in the production of cocoa, 5.0% are involved in trading, 3.0% are involved artisan and 14.0% are civil servant. This shows that the right peg was put into the right hole by directing the survey to the farmers that are actively involved in maize production. Secondary occupation will help to determine the proportion of farmers that are involved in other business or vocation. It shows whether the farmer is actually involved in the production of other crop to generate more income or the farmer is only involved in maize production. From Table 7, 63.0% of the respondents have farming as their major occupation i.e. they are not involved in any secondary occupation. It shows that 12.0% of the respondents are artisans and 6.0% are actively involved in civil service. Most of the farmers interviewed have their primary occupation to be farming. Experience in farming is an important factor, because it is a significant element in skill acquisition. Experience makes improvements possible which could in turn bring about increase in output, quality of output, reduction in cost of production and brings about efficiency in the use of input. Experience is expected to have positive influence on the managerial ability of the farmer. However, in some cases, experience may have a negative effect on production as farmers might become discouraged after years of repeated failures. 3.1 Harmful and Beneficial effects of pesticide The pesticides used by the farmer constitute both positively and negatively to the output level of maize produce by the respondents. 3
  • 4. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol 3, 2012 From Table 9, majority of the respondents attest that both control of insects and yielding of good quality produce is a major beneficial effect of pesticide use on their farm. This takes 39% of the total respondents. Most of the respondents acknowledged that pesticides use increases production, prevents disease infestation and enhances the growth of the cacao tree. Most of the respondents use fertilizer on their maize plot being an annual crop, this account for the reason why a few majorities of the respondents (15.6%) said the use of pesticides gives good quality of maize because much attention would have been drawn on the effect of fertilizer on yield of the crop. Table 10 shows that the maize pesticides used by the respondents on their farm also pose some detrimental effect on the farmers’ life, other property and the maize plant. It shows that excessive use of the pesticide could even damage the maize stand which will eventually lead to loss on the part of the farmer. About 64.9% of the respondents attested to the fact that pesticide usage affects their health while 24.6% attested that it has residual effects on the soil. The use of pesticide also contaminates water body thus killing the aquatic animals if it runs into the river. About 6% of the respondent are currently experience this water pollution on their farm. 3.2 Knowledge, attitudes and practice of pesticides use Table 11 shows the farmers’ knowledge, attitudes and practices of pesticides use. The farmers recommended washing if pesticides splashed on their bodies but did not seem convinced of the benefit of going to a health clinic. A few believed that working with pesticides should not be a problem at all, while some others seem not to have any idea on what to do. Written information on pesticides packaging was not read by most of the farmers and others do not give attention. Most of the respondents believed that pest control workers should wear protective equipments while very few believed in careful working as the protective measure during pesticides use. Although use of personal protective devices minimizes the risk of direct contact and inhalation of aerosol pesticide formulation, careful working is advisable in this kind of work. Many of the respondents considered windy and sunny weather as a pertinent problem in the study area. Wind plays a role in pesticides spraying. If it is against the spraying direction, it can distract the proper spraying maneuver and take the chemical off target. Sunny weather usually results in rapid evaporation of the chemical formulation which is undesirable. A vast majority of the respondents believed that lack of personal protective devices is the major problem facing the application of pesticides. Table 12 shows the personal hygiene and sanitation practices of the respondents during pesticide use. The vast majority of the respondents wash hands before they ate or drank i.e. 95.5% while 3.4% do not wash their hands and others summing up to 1.1% of the respondents wash their hands sometimes. On personal hygiene, 94.3% of the total respondents do not eat, drink or smoke while working with pesticides while 3.4% does and 2.3% claims to do it sometimes. Table 12 also shows that a vast majority of the respondents do not keep their meals near pesticides and that very few percentage of the respondents drink water near pesticide treated areas. The habit of taking a shower was apparently common among the respondents with 71.6% of the total respondent doing it while 13.6 does not and 14.8 does it sometimes. The table also shows that an overwhelming majority of the respondents change their clothes before and after pesticide exposure. From the results observed generally, it is very obvious that there is a need to raise the awareness of the farmers and bring some attitudinal change towards their conventional practices. The level of education of the farmers could be one of the reasons for such behavior. 4. CONCLUSION AND RECOMMENDATION The study assessed perception and awareness of maize farmers to the harmful and beneficial effects as well as attitudes and practice of farmers to pesticide use in maize production. The finding shows that the use of pesticide is generally beneficial. However, there is evidence of excessive use of pesticide by farmers which consequently affects their health negatively. The use of pesticide also contaminates water body thus killing the aquatic animals if it runs into the river. Pesticide regulatory policies and program through pesticide safety education to farmers’ awareness of the harmful effects of pesticides should be made by the government to safeguard maize farmers in the use of pesticides. References 4
  • 5. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol 3, 2012 Ayeni, A.O. (1991), “Maize Production in Nigeria: Problems and Prospects”. Journal of Food and Agriculture, 2: 123-129. Fajewonyomi, B.A (1995), “Knowledge, attitudes and practices (KAP) of farmers regarding the use of pesticides” A case study of a cocoa farming community in south- western Nigeria. Ife Journal of Agriculture, 16 -17: 98-198. Iken, J.E. & Amusa, N.A (2004), “Maize research and production in Nigeria” African Journal of Biotechnology. 3: 301-307. Papworth, D.S & Paharia, K.D (1978), “Value of pesticides registration regulation to developing countries”. Plant Protection Bulletin, 24: 101-109. Yudelman, M., Ratta, A. & Nygaard, D (1998), “Pest management and Food Production Food, Agriculture and Environment” Discussion paper 25, IFPRI, Washington D.C. (1998). Table 1: Distribution of respondents by age Age Frequency Percentage (%) 21-30 2 2.0 31-40 11 11.0 41-50 46 46.0 51-60 27 27.0 61-70 14 14.0 Total 100 100 Source: Field Survey, 2010 Table 2: Distribution of Respondent by Marital Status Marital Status Frequency Percentage (%) Single 6 6.1 Married 91 91.1 Divorce 1 1.0 Widow 0 0.0 Widower 1 1.0 Total 100 100.0 Source: Field survey, 2010 Table 3 Distribution of Respondents by their educational status Educational status frequency percentage Literate 32 32.0 Illiterate 68 68.0 Total 100 100.0 Source: Field survey, 2010 Table 4: Distribution of Respondents by their levels of education Level of Education frequency Percentage Primary school 31 47.0 Secondary school 18 27.3 Tertiary school 17 25.8 Total 66 100.0 Source: Field survey, 2010 5
  • 6. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol 3, 2012 Table 5: Distribution of Respondents by Household Size Household size Frequency Percentage (%) 1-5 36 36.0 6-10 44 44.0 11-15 13 13.0 16-20 5 5.0 21-25 1 1.0 26-30 1 1.0 Total 100 100 Source: Field Survey, 2010 Table 6 Distribution of the Respondents by their Primary occupation Primary occupation Frequency Percentage (%) Farming 78 78.0 Trading 5 5.0 Artisan 3 3.0 Public service 14 14.0 Others 0 0.0 Total 100 100 Source: Field Survey, 2010 Table 7 Distribution of Respondents by Secondary Occupation Secondary occupation Frequency Percentage (%) Public Service 6 6.0 Trading 19 19.0 Artisan 12 12.0 None 63 63.0 Total 100 100 Source: Field Survey, 2010 Table 8 Distribution of respondent by experience in maize production Years of experience frequency percentage 1-10 8 8.0 11-20 32 32.0 21-30 25 25.0 31-40 22 22.0 41-50 10 10.0 51-60 3 3.0 Total 100 100 Source: Field survey, 2010. 6
  • 7. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol 3, 2012 Table 9 Distribution of respondents on beneficial effects of pesticides Effects Frequency Percentage 1. Control of maize weevil 9 14.1 2. Give good quality of maize 10 15.6 3. Both control and good quality 25 39.1 4. Increase yield of crop 20 31.3 Total 64 100.0 Source: Field survey, 2010. Table 10 perceptions of respondents on the harmful effects of pesticide use Effects Frequency Percentage Causes food poisoning 37 64.9 Has residual effect on soil 14 24.6 Causes pollution of water bodies 6 10.5 Total 57 100.0 Source: Field survey, 2010. Table 11 Responses of farmers to the knowledge, attitude and practice questions during pesticide use Questions and answers frequency percentage (%) 1. Have you ever split pesticide on your body? Yes 73 77.7 No 21 22.3 Total 94 100.0 2. How can you help a colleague during pesticide splash? Advice washing 61 65.6 Advice drink water 2 2.2 Go to health centre 15 16.1 No problem 1 1.0 No idea 14 15.1 Total 93 100.0 3. What protective measure do you take to protect yourself? Use of personal protective device 64 78.0 Careful working 18 22.0 Total 82 100.0 4. Can you understand information written on pesticide package? Could not understand 38 57.6 Do not give attention 28 2.4 Total 66 100 5. What are the major problems faced during pesticide use? Lack of protective device 55 62.5 Windy day 20 22.7 Sunny weather 12 13.6 Others 1 1.1 Total 88 100 7
  • 8. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol 3, 2012 6. What solution do you suggest to promote safe pesticide use? Avoid windy and sunny weather 12 12.6 Proper use of personal protective device 26 27.4 Training 32 33.7 No solution 7 7.4 All of the above 18 18.9 Total 95 100.0 Source: Field survey, 2010. Table 12 Responses (%) of the respondents to personal hygiene and sanitation practices Activity Yes No Sometimes 1.Wash hands 95.5 3.4 1.1 2. Eat/drink/smoke during work with pesticides 3.4 94.3 2.3 3. Keep meals near pesticides 2.3 96.6 1.1 4. Drink water near pesticide treated areas 2.3 90.8 6.9 5. Shower after pesticide exposure 71.6 13.6 14.8 6. Change clothing before and after pesticide exposure 85.4 2.2 12.4 Source: Field survey, 2010. 8