Estimating Partial Nutrient Balance Using Nutmon Model in Irrigated Rice - Based Farms of the Nigerian Dry Savanna
1 Department of Soil Smienme Bayero University Kano, Kano State
2 Department of Soil Smienme Kano State University of Smienme and Temhnoloiy, Wudil
* Corresponding author: balawan.ssc@buk.edu.ng
2 Department of Soil Smienme Kano State University of Smienme and Temhnoloiy, Wudil
* Corresponding author: balawan.ssc@buk.edu.ng
Abstract
Soil fertility decline coupled with the failure to conduct soil analysis by the farmers while generating fertilizer recommendations are among the factors that led to low yield especially in the dry Savanna of Nigeria which is characterized by a dramatic increase in population. In this study, the performance of the soils at Bunkure Local Government Area of Kano State that was under irrigation farming was estimated using the NUTMON model. This was part of the strategies for boosting agricultural production and to have adequate and sustainable rural development. The experimental findings of this study showed obviously that most of the farms in the research area received sufficient amount of fertilizer during the growing season despite the lower fertility status of the soils. Even with the continuous productivity within crop-based cropping unit, highly positive balance was obtained for N and slightly for P and K. The result as obtained from the data processing module of the NUTMON model revealed positive partial balances in kg/ha as 220.7, 26.3 and 47.8 for farms 1, 2, and 3 respectively, with the highest balance at farm 2 and the lowest at farm 3, despite the higher quantity of fertilizer (IN 1) that was applied to farm 1 of about 342 kg of Nitrogen. However, the N, P, and K were exported to the farm through the harvested grains and crop residues (OUT 1) and crop residues (OUT 2) considering partial balance. On the other hand, Phosphorus partial balance was also positive as a result revealed 55.0, 13.6 and 16.9kg/ha of Phosphorus for farms 1, 2 and 3 respectively. The K balances for farms 1, 2 and 3 in kg/ha as 68.8, 13.6 and 23.7 respectively which means farm 1 has the highest balance and farm 3 has the lowest. The result showed that the NUTMON model was a valuable tool for estimating nutrient balance and maintaining soil fertility in the study area. Reviewing fertilizer recommendation and its adherence by the farmers was recommended to have an appreciable yield in the study area.
Keywords
NUTMON
fertility
References
- Africa Rice Center (WARDA) (2017). Growing lowland rice: a production handbook.
- Bray, R. H. and L. T. Kurt, (1945) “Determination of Total Organic Available Forms Phosphorus in Soils.
- Buba, L. F. (2009). Temperature variation as the indicator of global warming over Northern Nigeria.
- Ehabe1, E. N. L Bidzanga, C. M Mba, J. N Njukeng1, I. Baros and F. Enjalric (2010). Nutrient Flows in Perennial Crop-Based Farming Systems in the Humid Forests of Cameroon
- Esu, I. E. (1991). Detailed Soil Survey of NIHORT Farm at unkure, Kano State, Nigeria. Institute for Agricultural Research, Ahmad Bello University, Zaria, Nige ria.
- FAOSTAT (2014). Food and Agriculture Organization of the United Nations, Rome, Italy.
- FFD (2012). Fertilizer Use and Management Practices for Nigeria. Federal Fertilizer Department, Federal Ministry of Agriculture and Rural Development, Abuja, Nige ria.
- Foth H. D. (1990). Fundamentals of Soil Sience. New York: John Wiley & Sons.
- Adamu, G. K., A. K. Aliyu and A. M. Jabbi (2014). Fertility assessment of soils under rice cultivation in Kadawa, Garun mallam Local Government Kano state.
- Hadejia Jama’are River Basin Development Authority (2004), The achievement of Hadejia Jama’are River Basin Development Authority
- Lawan, B. A. (2015). Estimating nitrogen leaching losses from maize fields using DNDC and CERES-MAIZE models. Masters Dissertation submitted to the Department of Soil Science, Bayero University, Kano.
- McCury, P. (1976). The Geology of the Precambrian to Low-Palaeozoic Rocks of Northern Nigeria: A Review. In: Geology of Nigeria, Kogbe, C.A. (Ed.)., Surulere, Elizabethan Publishing.
- NEDECO (1976). Kano River Irrigation Project (KRIP) Main Report. Part VIII. Ministry of Agriculture and Natural Resources, Kano, Nigeria
- Olawepo, R.A, Ibrahim, A.B. (2013). Rural Farmers’ Benefits from Agricultural Modernization in the Kano Project Phase I, Kano Area, Nigeria.
- Olofin, E. A. and Tanko, A. I. (2002). Laboratory of areal differentiation: Kano metropolitan in geographical perspective. Geography Department: Bayero University, Kano.
- Omar, G. (2011). Assessment of the Fertility Status of some Irrigated Fluvisols in Northern Guinea Savannah of Nigeria: Department of Soil Science, Faculty of Agriculture, Bayero University, Kano.
- Sani, A., A. Yakubu, and H.M. Bello, (2010). Resource-Use Efficiency in Rice Production under Small Scale Irrigation in Bunkure Local Government Area of Kano State.
- Shehu, M., J. M. Jibrin and A. M. Samndi (2015). Fertility status of selected soils the Sudan savanna Biome of Northern Nigeria. International Journal of Soil Science, 10: 74-83.
- Surendran, U. and V. Murugappan (2005). A micro and meso evel modeling research for assessing sustainability in semi-arid tropical agroecosystem using NUTMON-Toolbox.
- Stoorvogel, J.J., Smaling, E.M.A and Janssen, B.H. (1993). Calculating soil nutrient balances at different scales I.
- USDA (2002). Soil Quality Research. Retrieved June 2005, at www.soils.usda.gov/sqi
- Surendran, U., S. Ramasubramoniam P. Raja V. kumar and V. Murugappan (2006). Modeling based fertilizer prescription using NUTMON– toolbox, and DSSAT for soils of semi-arid tropics in India.
How to Cite
L., A. B., Jibrin, J. M., & Bashir, M. B. (2018). Estimating Partial Nutrient Balance Using Nutmon Model in Irrigated Rice - Based Farms of the Nigerian Dry Savanna. Nigerian Journal of Soil Science, 28(2), 131-138. https://doi.org/10.67042/njss.2018.hfa408k3
A. B. L., J. M. Jibrin, and M. B. Bashir, "Estimating Partial Nutrient Balance Using Nutmon Model in Irrigated Rice - Based Farms of the Nigerian Dry Savanna," Nigerian Journal of Soil Science, vol. 28, no. 2, pp. 131-138, August 2018. doi: 10.67042/njss.2018.hfa408k3