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World Journal of Agricultural Research. 2020, 8(2), 23-31
DOI: 10.12691/WJAR-8-2-1
Original Research

Soil fertility Evaluation for the Potential Coffee Areas in Morogoro and Mvomero Districts, Eastern Tanzania

MARO Godsteven P.1, , MBWAMBO Suzana G.1, MONYO Harrison E.1 and MOSI Epafra J.1

1Tanzania Coffee Research Institute (TaCRI), P.O.Box 3004, Moshi, TANZANIA

Pub. Date: April 24, 2020

Cite this paper

MARO Godsteven P., MBWAMBO Suzana G., MONYO Harrison E. and MOSI Epafra J.. Soil fertility Evaluation for the Potential Coffee Areas in Morogoro and Mvomero Districts, Eastern Tanzania. World Journal of Agricultural Research. 2020; 8(2):23-31. doi: 10.12691/WJAR-8-2-1

Abstract

Soil fertility evaluation for Arabica and Robusta coffee was conducted in Morogoro and Mvomero districts, representing the historical, yet insignificant, Eastern coffee area. Field characteristics were recorded and soil samples collected from 0-30, 30-60 and 60-90 cm depths in nine wards per district. Samples were analyzed for soil texture, pH-water, organic carbon, total nitrogen, available phosphorus, CEC, exchangeable bases and extractable Cu, Fe, Mn and Zn. Qualitative (simple limitation), quantitative evaluation of the supply potential of N, P and K, spatial and multivariate statistical analysis were used. Over 70% of survey sites were moderately fertile, implying that coffee production is viable. Mvomero was lower than Morogoro in both pH and OC; hence lower in total available NPK. Soil pH, OC, available P, Fe, Mg/K, TEB and K/TEB explained 32.05% of the total variability, with CEC, BS and ESP explaining 19.00%. Four ward clusters were identified, with clusters best expressed by micronutrients (Cu and Fe), followed by total N, Na, K/TEB, Zn, Mg and K. Soil fertility limitations were low pH, low Ca and K, low OC, low N and very low micronutrient levels. District councils should devise coffee development programmes, taking cognizance of the intervention strategies suggested in this work.

Keywords

evaluation, potential coffee areas, soil fertility, Eastern Tanzania

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]  Agrisystems (1998). The Coffee Sector Strategy Study for Tanzania: Report No. 3. Government of Tanzania, Dar es Salaam, Tanzania. 97pp.
 
[2]  Baffes, J. (2003). Tanzania coffee sector: Constraints and challenges in Global environment. The World Bank 1818 H street, NW MC 2-339 Washington D. C : 56 pp.
 
[3]  Carr, M.K.V., Stephens, W., Van der Vossen, H.A.M. and Nyanga, A. 2003. Tanzania Coffee Research Institute: Strategic Action Plan 2003 to 2008, contributing towards a profitable and sustainable coffee industry in Tanzania. ICPS, Cranfield University, Silsoe, UK. 142 pp.
 
[4]  Hella, J.P., Mdoe N.S and Lugole, J.S. (2005). Coffee baseline report for Tanzania Coffee Research Institute. Bureau for Agricultural Consultancy and Advisory Service, Sokoine University of Agriculture, Morogoro, Tanzania. 40pp.
 
[5]  Tanzania Coffee Board (TCB). (2012). The coffee industry in Tanzania: a 10-year development strategy 2011/2021. Government document prepared by Task Force Committee, June 2012: 59pp.
 
[6]  Ngeze, P.B. (2015). Kahawa Tanzania. Tanzania Educational Publishers Ltd, P. O. Box 1222, Bukoba. 286pp.
 
[7]  Meliyo, J.L., Chilagane, A.C. and Urassa, G.J. 2006. Farming systems zonation in the Eastern Zone, with description of socio-economic and biophysical attributes. Consultancy Report, EZCORE, Ilonga, Morogoro. 100pp.
 
[8]  Food and Agriculture Organization (FAO). (2006). Guidelines for soil description. 4th edition (revised), FAO, Rome: 110pp.
 
[9]  IUSS Working Group (2014). World Reference Base for Soil Resources (WRB, 3rd Edition): International soil classification system for naming soils and creating legends for soil maps. World Soil Resources Report No. 106, FAO, Rome: 191pp.
 
[10]  National Soil Services (NSS), 1990. National Soil Services: Laboratory procedures for routine soil analysis (3rd Edition). NSS Miscellaneous Publication M13, Mlingano, Tanzania. 140 pp.
 
[11]  Van Ranst, E., Verloo, M., Demeyer, A. and Pauwels, J.M. (1999). Manual for soil chemistry and fertility laboratory: Analytical methods for soils and plants, equipment and management of consumables. ITC Ghent University, Krijgslaan 281/58, B9000 Ghent, Belgium. 243 pp.
 
[12]  Van Reeuwijk, L.P. (2002). Procedures for soil analysis. Technical Paper No. 9, 6th Edition, 2002, FAO/ISRIC, Wageningen, the Netherlands. 120pp.
 
[13]  Van Ranst, E. 1999. Land evaluation II: Methods in land evaluation and case studies. Lecture notes. International Centre for Physical Land Resources. Lab. of Soil Sci., Ghent University, Belgium. 307pp.
 
[14]  Van Ranst, E., Verdoodt, A. and Louwagie, G. 2002. Land evaluation: Practical exercises. Lecture notes. International Centre for Physical Land Resources. Lab. of Soil Sci., Ghent University, Belgium. 163pp.
 
[15]  Maro G.P., Msanya, B.M. and Mrema, J.P. (2014). Soil fertility evaluation for coffee (Coffea arabica) in Hai and Lushoto Districts, Northern Tanzania. International Journal of Plant and Soil Sciences Vol. 3 (8): 934-947.
 
[16]  Sys, C., Van Ranst, E. and Debaveye, J. 1993. Land evaluation part III: Crop requirements. General Administration for Development Cooperation, Agric. Publications N.7, Brussels, Belgium. 199pp.
 
[17]  Hamza, M.A. (2008). Understanding soil analysis data. Resource management technical report 327, Department of Agriculture and Food, Western Australia. 59pp.
 
[18]  Yost, R.S. and Uchida, R. (2000). Interpreting soil nutrient analysis data: Definition of low, sufficient and high nutrient levels. In: Silva, J.A. and Uchida, R. (Eds): Plant nutrition management in Hawaii’s soils. 86-89.
 
[19]  Thiagalingam, K. (2000). Soil and plant sample collection, preparation and interpretation of chemical analysis: A training manual and guide. ACNARS/PNG for AusAID, Adelaide, Australia. 49pp.
 
[20]  Tsirulev, A. (2010). Spatial variability of soil fertility parameters and efficiency of variable rate fertilizer application in the Trans-Volga Samara region. Better Crops 94(3): 26 - 28.
 
[21]  Janssen, B. H. (2011). Simple models and concepts as tools for the study of sustained soil productivity in long term experiments II: Crop nutrient equivalents, balanced supplies of available nutrients and NPK triangles. Plant and Soil 339: 17 - 33.
 
[22]  Nunez, P. A., Pimentel, A., Almonte, I., Sotomayo-Ramirez, D., Martinez, N, Perez, A. and Cespedes, C. M. (2011). Soil fertility evaluation of coffee (Coffea spp) production systems and management recommendations for the Barahona Province, Dominican Republic. Journal of Soil Science and Plant Nutrition 11(1): 127 - 140.
 
[23]  Van Oosterom, A.P., Kaitaba, E.G., Schuiling, C., Onderstal, J., and Gijsbertse, H.A. (1998). Land Resources of Tanzania: Use and Potential for Coffee Production (map). Coffee Management Unit, Ministry of Agriculture and Cooperatives, Dar es Salaam, Tanzania.
 
[24]  Khadka, D., Lamichhane, S., Shrestha, S.R. and Pant, B.B. (2017). Evaluation of soil fertility status of Regional Agricultural Research Station, Tarahara, Sunsari, Nepal. Eurasian Journal of Soil Science 6 (4): 295-306.
 
[25]  Thapa, S. (2018). Evaluation of soil fertility status and constraints under vegetable cropping at Budhanilkart, Kathmandu, Nepal. Journal of Pharmacognosy and Phytochemistry 7 (15): 2345-2347.
 
[26]  Nafiu, A.K., Abiodum, M., Ifeyinwa, U. and Chude, V.O. (2012). Soil fertility evaluation: a potential tool for predicting fertilizer requirement for crops in Nigeria. African Journal of Agricultural Research 7 (47): 6204-6214.
 
[27]  Grealish, G., Ringrose-Voase, A. And Fitzpatrick, R. (2010). Soil fertility evaluation in Negara Brunei Darussalam. In: Gilkes, R.J and Prakongkep, N (Eds), 19th World Congress of Soil Science, 1-6 August 2010, Brisbane, Australia. 121-124.
 
[28]  Hailu, H., Mamo, T., Keskinen, R., Karltun, E., Gebrekidan, H. and Bekele, T. (2015). Soil fertility status and wheat nutrient content in vertisol cropping systems of Central Highlands of Ethiopia. Agriculture and Food Security 4 (19): 20pp.
 
[29]  Sardiana, I.K., Sussila, D., Supadma, A.A. and Saifulloh, M. (2017). Soil fertility evaluation and land management of dryland farming at Tegallalang Sub-District, Gianya Regency, Bali, Indonesia. IOP Conference Series, Earth and Environmental Science 98: 012043.
 
[30]  Maro, G. P., Monyo, H. E., Nkya, E. O. and Teri, J. M. (2006). The soil fertility status of coffee growing areas in Tanzania. In: Proceedings of ASIC, 21 September 2006, Montpellier Cedex, France. pp. 1419-1422.
 
[31]  Wensch, K.L. (2019). An introduction to multivariate statistics. www.core.ecu.edu/psyc/wuenschk/MV/IntroMV.pdf accessed 03 December 2019.
 
[32]  Serdobolskii, V.I. (2000). Multivariate statistical analysis: A high-dimensional approach. Theory and Decision Library B, Springer Science and Business Media BV. 244pp.
 
[33]  Holland, S.M., (2008). Principal component analysis (PCA): A tutorial in the R-Studio environment. Department of Geology, University of Georgia, Athens, GA 30602-2501: 10pp.
 
[34]  Everitt, B.S., Landau, S., Leese, M. and Stahl, D. (2011). Cluster analysis. Wiley Series in Probability and Statistics, John Wiley and Sons Inc., Chichester, U.K. 370pp.
 
[35]  Wrigley, G. 1988. Coffee: Tropical Agriculture Series. Longman Scientific and Technical, John Wiley and Sons Inc., New York. 1-60.
 
[36]  Oberthur, T., Pohlan, J. and Soto, G. 2012. Plant nutrition: Sustainable nutrient management. In: Oberthur, T. et al (eds). Specialty coffee: managing quality. An IPNI/SEAP publication (2012), 123-149.
 
[37]  Wintgens, J.N. 2012. Coffee: Growing, Processing, Sustainable Production: A Guidebook for Growers, Processors, Traders, and Researchers. Wiley-VCH; 3 edition (2012) 1022 pp.
 
[38]  Johansson, L. (2001). Ten Million Trees Later, Land Use Change in the West Usambara Mountains. SECAP Lushoto District 1981-2000. GTZ Publication, Eschborn, Germany. 163pp.