2013
DOI: 10.18551/rjoas.2013-03.09
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Determinants of Herbicide Utilization in Striga Hermonthica Control Among Maize Farming Households in Giwa Local Government Area of Kaduna State, Nigeria

Abstract: The study was carried out to determine the socioeconomic and institutional factors that influence the utilization of herbicide for the control of Striga in maize production. Structured questionnaire with the aid of personal interview was used to collect data from a sample size of eighty respondents selected purposively from Shika, Giwa, Yakawada and Galadimawa villages of the study area. Data collected were analyzed using descriptive statistics and OLS regression analysis. The result of the analysis showed tha… Show more

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Cited by 7 publications
(10 citation statements)
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“…In addition, diversification of income sources provides an additional income that enable farming household to spend more on their basic needs, include food consumption, education, clothing, and health care. This result is in line with the findings of Oyinbo and Olaleye (2016) in their studies on farm household's livelihood diversification and poverty alleviation in Kaduna State Nigeria. Similarly, Adepoju and Obayelu (2013) in their studies on farm household's livelihood diversification and welfare of rural household in Ondo State Nigeria.…”
Section: Effect Of Income Diversification On Poverty Status Of Smallh...supporting
confidence: 89%
See 1 more Smart Citation
“…In addition, diversification of income sources provides an additional income that enable farming household to spend more on their basic needs, include food consumption, education, clothing, and health care. This result is in line with the findings of Oyinbo and Olaleye (2016) in their studies on farm household's livelihood diversification and poverty alleviation in Kaduna State Nigeria. Similarly, Adepoju and Obayelu (2013) in their studies on farm household's livelihood diversification and welfare of rural household in Ondo State Nigeria.…”
Section: Effect Of Income Diversification On Poverty Status Of Smallh...supporting
confidence: 89%
“…The FGT approach of based on the mathematical formula which explains poverty indices anchored upon the existence of farming household's classification according to consumption expenditure. As adopted by (Halliru, 2019, Olaleye, 2016Adekoye, 2014). The poverty line was developed, using the mean per capital household expenditure, below which a farming household were classified as being poor and above which a farming household were classified as being non-poor (Omonona, 2001;Okunmadewa et al, 2010;Awoyemi, 2011;Awotide et al, 2012).…”
Section: Analytical Toolsmentioning
confidence: 99%
“…Oyinbo and Olaleye (2016), in their study of farm households' livelihood diversification and poverty reduction in the Giwa Local Government Area of Kaduna State, Nigeria, found that 30% of the farm households in the study area were in poverty. The study found that farm households with other livelihood activities survive better and thereby recommended providing a wide range of income‐generating activities to improve welfare.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Compared to the farm sizes of the respondents, it can be inferred that some respondents applied adequately and generously while others did not. This can be attributed to some factors as identified by Oyinbo, Saleh and Rekwot (2013) who indicated that farmers' level of education, household income, extension contact, membership of social organization and farming experience positively influenced the quantity of herbicide applied. This shows a positive relationship between the variables and the quantity of herbicides applied.…”
Section: Quantity Of Herbicides Used In One Seasonmentioning
confidence: 99%