Factors Affecting Application of Modern Agrochemicals and Observance of Pre-Harvest Interval in Khat, Catha edulis (Miraa) Crops in Igembe South Sub County

Authors

  • Kithinji Kanyi Kenya Methodist University
  • David Mushimiyamana Kenya Methodist University

DOI:

https://doi.org/10.59573/emsj.8(4).2024.25

Keywords:

Agrochemicals, Pre-Harvest Interval, Environmental factors

Abstract

In Kenya, agriculture plays a crucial role in the economic development as well as alleviating poverty in the households. Strengthening the agricultural sector will call for provision of requisite extension services and ensuring necessary agricultural inputs readily available to the farmers. Evidently, agrochemicals have boosted agricultural productivity over time. Categorized broadly as fertilizers and pesticides, agrochemicals were introduced to enhance crop yields and minimize crop losses due to soil infertility, pests, and diseases. However, use of agrochemicals has been associated with various issues including effects on the environment and specifically, problems related to human health, biodiversity, and the entire ecosystem. Thus, this study investigated factors affecting application of modern agrochemicals and the observance of Pre-Harvest Interval (PHI) in Khat (Miraa) crops protection in Igembe south sub county. The specific objectives that guided the study were to investigate the effect of environmental factors on application of agrochemicals in Khat (Miraa) crops protection and whether farmers observed recommended Pre-Harvest Interval in application of agrochemicals in Khat (Miraa) crops protection in Igembe south sub county. A descriptive research design was utilized with a target population comprising Khat (Miraa) farmers in Igembe south sub county. Purposive sampling technique was adopted in selecting the sample. Stratified sampling was adopted in selecting individual respondents from the various wards to with the strata being the ward. Yamane (1967) formula was utilized to estimate the sample size of 399 respondents. Primary data was collected using a structured questionnaire with a response rate of 79.4%. Data analysis was done using Statistical Package for Social Sciences (SPSS) version 20 and presented in figures and tables. From the analysis, the correlation between environmental factors in the application of modern agrochemicals and the protection of Khat (Miraa) crops was positive and statistically significant (?=0.546, P=0.000). The regression coefficient of environmental factors in the model was positive (r=.221) and statistically significant (P=0.000). Based on the calculated averages and PHI risk factors, majority of the farmers are categorized as high risk or very high-risk users of agrochemicals. Further statistical analysis indicated that the coefficient of the risk factor is positive (r=0.572) and statistically significant (P=0.000). Therefore, the risk factor in observance of the PHI has a significant effect on the number of farmers using specific agrochemicals. The study concluded that environmental factors and non-observance of recommended PHI, positively and significantly affects the protection of Khat (Miraa) crops. The study recommends targeted extension to sensitize Khat (Miraa) growers on importance of observing recommended PHI. Finally, the study recommends that the national and county governments ought to formulate policy guidelines that identify agrochemicals suitable in Miraa crops protection, the recommended application rates, and Pre-Harvest Intervals.

References

Akhtar, S., Nasir, J. A., Sarwar, A., Nasr, N., Javed, A., Majeed, R., ... & Billah, B. (2020). Prevalence of diabetes and pre-diabetes in Bangladesh: a systematic review and meta-analysis. BMJ open, 10(9), e036086.

Amare, M., Mariara, J., Oostendorp, R., & Pradhan, M. (2019). The impact of smallholder farmers’ participation in avocado export markets on the labor market, farm yields, sales prices, and incomes in Kenya. Land use policy, 88, 104168.

Argüelles, L., & March, H. (2023). A relational approach to pesticide use: Farmers, herbicides, nutsedge, and the weedy path to pesticide use reduction objectives. Journal of Rural Studies, 101, 103046.

Bezner Kerr, R., Hasegawa, T., Lasco, R., Bhatt, I., Deryng, D., Farrell, A., Gurney-Smith, H., Ju, H., Lluch-Cota, S., Meza, F., Nelson, G., Neufeldt, H., & Thornton, P. (2022). Food, Fibre, and Other Ecosystem Products. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 713–906). Cambridge University Press, Cambridge, UK and New York, NY, USA.

Brooks, C. D., & Condori, A. A. (2018). A Resolving Criterion for Normality. The American Mathematical Monthly, 125(2), 149-156.

Burns, R., & Burns, R. P. (2008). Business Research Methods and Statistics Using SPSS: What, Why and How?. Business Research Methods and Statistics Using SPSS, 1-560.

Carrier, N. (2007). Chapter One. Cultivating Miraa In The Nyambene Hills. In Kenyan Khat (pp. 27-62). Brill.

Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S., ... & Walker, K. (2020). Purposive sampling: complex or simple? Research case examples. Journal of research in Nursing, 25(8), 652-661.

Datta, S., & Chaudhuri, B. B. (2018). Handling data irregularities in classification: Foundations, trends, and future challenges. Pattern Recognition, 81, 674-693.

Devi, P. I., Manjula, M., & Bhavani, R. V. (2022). Agrochemicals, environment, and human health. Annual Review of Environment and Resources, 47(1), 399-421.

Grandia, L. (2022). Poisonous Exports: Pesticides, Peasants, and Conservation Paradigms in Guatemala. Latin American Perspectives, 49(6), 124-152.

Jotham, K. M. (2020). A Critical Analysis on the Effects of Islamization of Igembe People Through Miraa Trade in Meru County Kenya (Doctoral dissertation, KeMU).

Kanyi, J. K. (2001). Effects of Miraa cultivation on food security in Nyambene District (Degree dissertation, Egerton University).

Kennedy, H. P., Farrell, T., Paden, R., Hill, S., Jolivet, R. R., Cooper, B. A., & Schindler Rising, S. (2011). A randomized clinical trial of group prenatal care in two military settings. Military medicine, 176(10), 1169-1177.

Kenya Agricultural Research Institute (KARI). Annual report 2004.

Kieren, T. E. (2020). Rational and fractional numbers as mathematical and personal knowledge: Implications for curriculum and instruction. In Analysis of arithmetic for mathematics teaching (pp. 323-371). Routledge.

Kothari, C.R. (2009) Research Methodology: Methods and Techniques. New Age International, 401 p.

Krueger, J. S., & Mutyambai, D. M. (2020). Restricting pesticides on a traditional crop: the example of khat (Catha edulis) and the Njuri Ncheke of Meru, Kenya. Ecology & Society, 25(4).

Mishra, M. K., Mishra, S. K., Panday, L., & Pandey, R. (2023). Agrochemicals and Their Impact on Environment. In Recent Trends in Plant Protection (pp. 47-56). NIPA.

Mugenda, O. & Mugenda, M. (2008). Social Sciences Research: Theory and Principles. ART Press, Nairobi.

Mugo, V., & Kinyua, I. (2023). Youth engagement in agriculture and food systems transformation in Kenya. In C. Breisinger, M. Keenan, J. Mbuthia, & J. Njuki (Eds.), Food Systems Transformation in Kenya (pp. 357-374). Washington, DC: International Food Policy Research Institute.

Muthoni, N. E. (2017). Social-Economic Relations between Nubians and the Ameru of Meru County; 1925-2014 (Doctoral Dissertation, Kenyatta University).

Newing, H. (2011). Conducting Research in Conservation: Social Science Methods and Practice. New York: Routledge.

Nguetti, J. (2019). Pesticides residues and microbial contamination of tomatoes produced and consumed in Kenya (Doctoral dissertation, University of Nairobi).

Nnadi, G. S., Madu, I. A., Ossai, O. G., & Ihinegbu, C. (2021). Effects of non-farm activities on the economy of rural communities in Enugu State, Nigeria. Journal of Human Behavior in the Social Environment, 31(5), 642-660.

Schreier, M. (2018). Sampling and generalization. The SAGE handbook of qualitative data collection, 84-97.

Sharma, A., Kumar, V., Shahzad, B., Tanveer, M., Sidhu, G. P. S., Handa, N., ... & Thukral, A. K. (2019). Worldwide pesticide usage and its impacts on ecosystem. SN Applied Sciences, 1, 1-16.

Sharma, M. W. (2017). Hitting the target, missing the point: Youth policies and programmes in Kenya. Government Printers.

Sileyew, K. J. (2019). Research design and methodology. Cyberspace, 1-12.

Sowley, E. N. K. (2022). Pesticides Use in Agriculture: Benefits and Implications for the Environment and Human Health.

Syngenta. (2014). The good growth plan progress report. Retrieved from https://www.syngenta.com/sites/syngenta/files/presentation-and-publication/updated/syngenta-the-good-growth-plan-progress-report-2014-en.pdf

Tudi, M., Daniel Ruan, H., Wang, L., Lyu, J., Sadler, R., Connell, D. & Phung, D. T. (2021). Agriculture development, pesticide application and its impact on the environment. International journal of environmental research and public health, 18(3), 1112.

Walter, A., Finger, R., Huber, R., & Buchmann, N. (2017). Smart farming is key to developing sustainable agriculture. Proceedings of the National Academy of Sciences, 114(24), 6148-6150.

Yamane, T. (1967). Statistics: An Introductory Analysis (2nd ed.). New York: Harper and Row.

Yazici, B., & Yolacan, S. (2007). A comparison of various tests of normality. Journal of Statistical Computation and Simulation,77(2), 175–183.

Downloads

Published

2024-09-27

Issue

Section

Articles