Effects of Organic and Inorganic Fertilizers on Weed Diversity and Population in Tobacco (Nicotiana tabacum L.) Farms in Migori County

Main Article Content

Martha M. Nyantika
Vincent Sudoi
J. B. Okeyo Owuor https://orcid.org/0000-0002-7274-7125
Peter Kisinyo https://orcid.org/0000-0002-4966-9210

Keywords

Tobacco farming, weeds diversity, weeds management, soil nutrients, Nicotiana tabacum

Abstract

Tobacco (Nicotiana tabacum L.) is a significant cash crop in Migori County, Kenya, and plays a vital role in the local economy. However, the cultivation of tobacco is not without its challenges, one of which is weed infestation. Weeds in tobacco farms can compete with the crop for essential resources, such as water, nutrients, and sunlight, leading to reduced crop yields and quality. Effective weed management is crucial to maintain the productivity and profitability of tobacco farming in the region. Therefore, the study objective was to analyze the effects of inorganic fertilizer (DAP fertilizer) and organic manure on population density of weed species, as well as the species diversity of the weed population under tobacco crop. A study was conducted in Migori county, employing a randomized complete block design, with four locations (Masaba, Mabera, Kakrao, and Bondo) and three different treatments, each of which was replicated three times. These treatments comprise of various types of fertilizers, including inorganic and organic variants, along with a control group receiving no fertilizer. The study's primary focus was on assessing weed population, leaf yield, and alterations in soil physico-chemical properties. During the second weeding phase, Malva verticilate was counted, with a mean value of 10.42, in both Mabera and Masaba. However, no instances of Malva verticilate were recorded in the other two sites. Sida alba acuta and Richardia brasilium R. brasiliens were counted in all four locations, with mean values of 6.22 and 28.21, respectively. The data obtained was subjected to statistical analysis using the General Linear Model (GLM) and analysis of variance (ANOVA) within the GENSTAT 12, 2012 statistical software package. To determine significant differences, means were separated using Tukey's test at a 5% level of significance. Results of the study showed that the dominant weed flora among monocot weeds were Eleusine indica L., Cynodon dactylon L., Digitaria sanguinialis L. and Chloris barbata L. Among dicot weeds, Phyllanthus niruri L., Amaranthus viridis L., Euphorbia hirta L., Heliotropium indicum L., Gynandropsis pentaphylla L., Launaea nudicaulis L. and Oldenlandia umbellata L. were found as major weeds. Cyperus rotundus L. was the only sedge found associated with tobacco crop across the four sites. This was common under inorganic fertilizer treatments, indicating that TF treatment suppressed growth and development of sedges. Results indicate that weed distribution and population under inorganic and organic fertilizer is related not only to the soil nutrient and physical content, but also to competition from the crop for water and light. Therefore, it is recommended to consider a combination of inorganic fertilizer and organic manures to optimize weed control and soil health in tobacco farming.

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References

Chauhan, B. S. (2012). Weed ecology and weed management strategies for dry-seeded rice in Asia. Weed Technology, 26(1), 1-13.

Colbach, N., Gardarin, A., & Moreau, D. (2019). The response of weed and crop species to shading: Which parameters explain weed impacts on crop production?. Field crops research, 238, 45-55.

Davies, D. H. K., & Welsh, J. P. (2002). Weed control in organic cereals and pulses. In Organic cereals and pulses. Papers presented at conferences held at the Heriot-Watt University, Edinburgh, and at Cranfield University Silsoe
Campus, Bedfordshire, 6 and 9 November 2001 (pp. 77-114). Chalcombe Publications.

Farooq, O., Mubeen, K., Ali, H. H., & Ahmad, S. (2019). Non-chemical weed management for field crops. Agronomic Crops: Volume 2: Management Practices, 317-348.

Gopal R, Jat RK, Malik RK, Kumar V, Alam MM, Jat ML, Mazid MA et al. Direct dry seeded rice production technology and weed management in rice based systems. Technical Bulletin: International Maize and Wheat Improvement Center, New Delhi, India, 28 p; 2010.

Government of Kenya (1994). Sessional paper No 2 of 1994 on national food policy. Nairobi.: Government printers.

Grattan, S. R., Schwankl, L. J., & Lanini, W. T. (1990). Distribution of annual weeds in relation to irrigation method. IN: Visions of the Future. ASAE Publication 04-90. American Society of Agricultural Engineers, St. Joseph, Michigan. 1990. p 148-153, 2 fig, 1 tab, 7 ref.

Juraimi, A. S., Uddin, M. K., Anwar, M. P., Mohamed, M. T. M., Ismail, M. R., & Man, A. (2013). Sustainable weed management in direct seeded rice culture: A review. Australian Journal of Crop Science, 7(7), 989.

Khisa, G. (2011). Tobacco production and food security in Bungoma District, Kenya: Effect of Tobacco production on household food security in Malakisi Division Bungoma District, Kenya. Saarbrücken.

Khoshkharam, M., Shahrajabian, M. H., Sun, W., & Cheng, Q. (2020). Survey the allelopathic effects of tobacco (Nicotiana tabacum L.) on corn (Zea mays L.) growth and germination.

Kumar, V., Singh, S., Chhokar, R. S., Malik, R. K., Brainard, D. C., & Ladha, J. K. (2013). Weed management strategies to reduce herbicide use in zero-till rice–wheat cropping systems of the Indo-Gangetic Plains. Weed Technology, 27(1), 241-254.

Kweyu, P., (1998). Does Tobacco growing pay? The case of Kenya. In Iraj Abedian, Rowena van der Merwe, Nick Wilkins, and Prabhat Jha, (Ed), The economics of tobacco control, Applied fiscal research centre. (AFRec), University of Cape Town. Pages 245-250.

Magati P, Q Li, J Drope, R Lencucha, R Labonté. (2016). The Economics of Tobacco Farming in Kenya. Nairobi: International Institute for Legislative Affairs and Atlanta: American Cancer Society.

Magurran A.E. (1988) Ecological diversity and its measurement. Princeton University Press, Princeton, NJ, 128 p; 1988.

Mandumbu R, Twomlow SJ, Jowah P, Mashingaidze N, Hove L, Karavina C. Weed seed bank response to tillage and residue management in semi-arid Zimbabwe. Archives Phytopathol. Plant Protec. 2012; 45:2165–2176.

Marwa, L., Kibwage, J., & Netondo, G. (2017). Environmental management practices amongst tobacco farmers in Migori County, Kenya. Archives of Current Research International, 7(2), 1-12.

Ndalilah, J. W. (2015). Agricultural commercialisation, contract farming and tobacco: a study of the impact of tobacco cultivation on employment trends in rural Sirisia, Bungoma West District, Kenya, 1975-2005. International Journal of Agricultural Extension and Rural Development Studies Vol.1, No.2, pp.26-38, May 2015

Nichols, V., Verhulst, N., Cox, R., & Govaerts, B. (2015). Weed dynamics and conservation agriculture principles: A review. Field crops research, 183, 56-68.

Nyamangara J, Mashingaidze N, Masvaya EN, Nyengerai K, Kunzekweguta M, Tirivavi R (2014) Weed growth and labor demand under hand-hoe based reduced tillage in smallholder farmers’ fields in Zimbabwe. Agric Ecosyst Environ. 2014; 187:146–154.

Nyoro J. K. &Jayne, T.S., (1999). “Smallholder Commercialization, Inter-linked Markets and Food Crop Productivity in Kenya.” Unpublished.

Odhiambo, J. A., Norton, U., Ashilenje, D., Omondi, E. C., & Norton, J. B. (2015). Weed dynamics during transition to conservation agriculture in western Kenya maize production. Plos one, 10(8), e0133976.

Pannell DJ, Llewellyn RS, Corbeels M. (2014) The farm-level economics of conservation agriculture for resource-poor farmers. Agric Ecosyst Environ. 2014; 187:52–64.

Rehman, S., Shahzad, B., Bajwa, A. A., Hussain, S., Rehman, A., Cheema, S. A., ... & Li, P. (2019). Utilizing the allelopathic potential of Brassica species for sustainable crop production: a review. Journal of Plant Growth Regulation, 38, 343-356.

Shah, A. N., Iqbal, J., Ullah, A., Yang, G., Yousaf, M., Fahad, S., ... & Wu, Y. (2016). Allelopathic potential of oil seed crops in production of crops: a review. Environmental Science and Pollution Research, 23, 14854-14867.

Weisberger, D., Nichols, V., & Liebman, M. (2019). Does diversifying crop rotations suppress weeds? A meta-analysis. PLoS One, 14(7), e0219847