ASSESSING THE FITNESS AND VALIDITY FOR DEPTH-DISTRIBUTION PATTERNS OF AVAILABLE MICRONUTRIENTS (Fe and Mn) OVER A TOPOSEQUENCE AT LAFIA NORTH-CENTRAL NIGERIA: APPLICATION OF EQUAL-AREA SPLINES
Abstract
The study focused on assessing the distribution of micronutrients (Fe, Mn) down the profile pits by using depth function of different level of soil depths (0-5, 5-15, 15-30, 30-60 and 60-90 cm) over a toposequence in faculty of agriculture Shabu-Lafia Campus. Three soil pits were sunk using Digital Elevation Model of the study area as guide for location of soil pits (upper, middle and lower slope). The results revealed that the cations (Fe and Mn) were low across the study area and in most cases Fe and Mn tend to decrease down the profile pits with few exceptions. The fitness of the models (R2 values) ranged from 0.88-0.99 across the pits with the exception of Mn at profile three that the fitness of the model was not biased (R2 = 0.11). The spline functions were flexible and sensitive to changes (0-5 cm) of the micronutrients (Fe and Mn) movements down the profile pits therefore, they can be used in displaying the vertical variability of micronutrients within the soil of the study area.
References
Abubakar, M., Daar, J. and Jayeoba, J., (2019): Pedological Classification of soils Along a Toposequence in Faculty of Agriculture Shabu-Lafia Campus, Nasarawa State University Keffi, Nigeria. IntJ. Scientific and Technological Res., 8(1):1-7.
Ariyo, K., (1987). The Economic Significance of the Palaeontology of Obi/Lafia Coalfield, Plateau State, now NasarawaState,Nigeria. (Unpublished master‟s thesis). Geology Department, Ahmadu Bello University, Zaria., 4-6.
Bishop, A., McBratney, B. andLaslett, M., (1999). Modelling soil attribute depth functions with equal-area quadratic smoothing splines. Geoderma, 91:27–45.
Erh, T.(1972). Application of spline functions to soil science.Am J ofSoil Sci, 114(5): 333–338.
Esu E.,Akpan-Idiok, U. andEyong, O. (2008). Characterization and classification of soils along a typical Hillslope in Afikpo Area of Ebonyi State, Nigeria. Nigerian J of Soil and Environment, 8: 1-6.
Florinsky, I., Eilers, R., Manning, G., Fuller, L.,(2002): Prediction of soil properties by digital terrain modlling, Environmental modeling and Software 17:295-311
Food and Agriculture Organization of the U.N. (2017).Soil Organic Carbon Mapping Cookbook Manual. Rome. 4-17.
Gideon, B., Fatoye, B. andOmada, I.(2014). Sedimentological characteristics and geochemistry of Ajali sandstone exposed at Ofe-Jiji and environs, Northern Anambra Basin, Nigeria. Res J of Environmental and Earth Sci. 6(1): 10-17.
Hiller, S. (2006). Mineralogical and chemical data.InIsims, G.M.R. and Cripps, J.C. (Ed). Clay Materials Used in Construction Company. London Geological Society, Engineering Special publication, 21: 449-459.
ISRIC and FAO, (2002). Procedures for soil Analysis. Sixth edition L.P. Van Reeuwijik: International Soil Reference and Information Centre/Food and Agricultural Organization, 119pp.
Jenny, H. (1941). Factors of Soil Formation: a System of Quantitative Pedology. McGraw Hill, New York and London.
Kparmwang T, Chude, O,Raji, A., Odunze, C., (2000). Extractable micro nutrients in some soils developed on sandstone and shale in the Benue Valley Nigeria. Nigeria J of Res. 1: 42–48.
Malone, P., Minasny, B. andMcBratney,B., (2017:. Using R for Digital Soil Mapping, Springer International Publishing Switzerland, 96-100.
Nagendran, A. Angayarkanni, A. (2010): Vertical Distribution OfDtpa-Extractable Micronutrients In Soils Of Cumbum Valley, Tamil Nadu. Agric. Sci. Digest. 30(2): 79-84.
Odgers, P. McBratney, B.Minasny B (2008) Generation of kth-order random toposequences. Comput Geo sci 34(5):479–490
Odgers, P., Zamir, L., James, A., (2012): Equal-area splines functions applied to legacy soil database to create weight means map of soil organic at continental scale. Geoderma 189-190(2012) 153-163.
Okoli, H.,Uzoho, U.Onweremadu, U.Nkwopara, N. andIrokwe, F (2016): Zinc Fractionation of Soils of Different Parent Materials and their Relationships with Some Soil Properties. Malaysian J. Soil Sci. 20:49-66
Onyekwere, I. Ethan, S. Adiele, G. Mbe, O. Nwokoro, C. (2017): Micronutrients Characterization of Soils of Basalt Parent Material in Ikom, Cross River State Nigeria for Sustainable Crop Production. Direct Res. J. Agr. And Food Sci. 5(10): 348-352
Ponce-Hernandez, R., Marriott, C. and Beckett,T. (1986). An improved method for reconstructing a soil proï¬le from analysis of a small number of samples. J. Soil Sci., 37:455–467.
Ramzan, S.,Bhat, M. Kirmani, A. and Rasool, R. (2014): Fraction of zinc and their association with soil properties in soils of Kashmir Himalayas. Int. Invention J. of Agr and Soil Sci. 2(8):132-142.
Ryan, P., McKenzie, N., Oconnell, D., Loughhead, A., Lappert., P., Jaquier, D. Ashton, L. (2000): Intergratingforest soils information across scales: spatial prediction of soil properties under Australian forest Ecology and management 138: 139-157
Samuel, T. Wener J., John, H (2003). Soil Fertility and Fertilizers. 5th ed. Published by Asoke K Ghosh, Prentice – Hall of India Private Limited Pp. 66-67.
FUDMA Journal of Sciences