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Journal of Tropical Soils
Published by Universitas Lampung
ISSN : 0852257X     EISSN : 20866682     DOI : http://dx.doi.org/10.5400/jts.v25i1
Core Subject : Agriculture, Social,
Agriculture, Biological Sciences & Forestry Environmental Science
Journal of Tropical Soils (JTS) publishes all aspects in the original research of soil science (soil physic and soil conservation, soil mineralogy, soil chemistry and soil fertility, soil biology and soil biochemical, soil genesis and classification, land survey and land evaluation, land development and management environmental), and related subjects in which using soil from tropical areas.
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Konservasi Alam dan Lahan
Articles 817 Documents
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Population and Distribution of Some Soil MesoFauna in the Inactive Tailing Deposition Areas of Freeport Indonesia, Timika-Papua Djuuna, Irnanda Aiko Fifi
JOURNAL OF TROPICAL SOILS Vol. 18 No. 3: September 2013
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2013.v18i3.225-229

Abstract

Soil fauna has played an important role in ecosystem functioning, especially as ecosystem engineers which contribute to soil fertility in tropical environment. A tailing deposition area is one habitat that has several types of soil fauna to live and growth as well as involves in the decomposition of organic matter. The objective of this study was to examine the number and distribution of soil fauna in the tailing area of Freeport Indonesia Mining and Gold Company, Timika. The study was located in some inactive tailing deposition areas in between Double Levee of the lowland area of ModADA (Modification Ajkwa Deposition Areas). Samples were taken from inactive tailing as 198 of ModADA for soil and soil fauna, the Kuadran Method was used to collecting soil fauna on the soil surface and in the soil. There were 17 types/ordo of soil fauna in the study area and the highest number was a group of ants (Hymenoptera/Formicidae). Population density (PD) and relative density (RD) of soil fauna (Formicidae) ranged from 0.03-2.41 Individu m-2 (PD) and 0.07-6.50% (RD). Both PD and RD were likely to increase as the number of soil fauna increase. The distribution of most soil fauna were found as a clump, while Pulmonata (Gastropods) were distributed normally in the tailing areas. The number and types (ordo) of these soil fauna had showed that inactive tailing deposition areas were considered a good habitat for soil fauna.Key words: Distribution, population, soil fauna, tailing[How to Cite: Djuuna IAF. 2013. Population and Distribution of Some Soil MesoFauna in the Inactive Tailing Deposition Areas of Freeport Indonesia, Timika-Papua. J Trop Soils 18 (3): 225-229. Doi: 10.5400/jts.2013.18.3.225][Permalink/DOI: www.dx.doi.org/10.5400/jts.2013.18.3.225]REFERENCESAdianto.1993.Agricultural Biology of Animal Manure, Organic Fertilizer and Insecticides. Bandung: Penerbit Alumni (in Indonesian).Anderson JM and JS Ingram. 1993. Tropical soil biology and fertility: A Handbook of Methods, 2nd ed. CAB International. Wallingford. UK, 221 pp.Battigelli JP. 2011. Exploring the World Beneath your Feet – Soil Mesofauna as Potential Biological Indicators of Success in Reclaimed Soils. Proceedings - Tailings and Mine Waste Vancouver, BC.Behan-Pelletier VM. 1999.Oribatid mite biodiversity in agroecosystems: role as bioindicators. Agric Ecosyst Environ 74: 411-423. Brussard L. 1998. Soil fauna, guilds, functional groupsand ecosystem processes. Appl Soil Ecol 9: 123-136.De Ruiter PC, B Griffiths and JC Moore. 2002. Biodiversity and Stability in Soil Ecosystems: Patterns, Processes and the Effects of Disturbance. In: M Loreau, S Naeem and P Inchausti (eds.). Biodiversity and Ecosystem Functioning: a current synthesis. Oxford University Press, Oxford, UK, pp. 102-113.Djuuna IAF, H Siby and S Baan.2008. Population and Distribution of Soil Fauna on the Below ground of Forest Trees in Gunung Meja Forest Areas of Manokwari. J Beccariana 1: 6. Fitter AH, CA Gilligan, K Holling Worth, A Kleczkowski, RM Twyman, JW Pitchford and the Members of the Nerc Soil Biodiverrsity Programme. 2005. Biodiversity and ecosystem function in soil. Funct Ecol 19: 369-377.Hanafiah KA, I Anas, A Napoleon and N Gofar. 2005. Biologi Tanah : Ekologi dan Makrobiologi Tanah. Edisi 1, PT Raja Grafindo Persada. Jakarta,165 pp. (in Indonesian). Picaud F and DP Petit. 2007.Primary succession of Orthoptera on mine tailings: role of vegetation. Ann de la Soc Entomol de France 43: 69-79Rusek J. 1998. Biodiversity of Collembola and their functional role in the ecosystem. Biodiver Conserv 7: 1207-1219.Sackett TE, AT Classen, and NJ Sanders. 2010.Linking soil food web structure to above and below ground ecosystem processes: ameta-analysis. Oikos 119: 1984-1992.Shao Y, W Zhang, J Shen, L Zhou, H Xia, W Shu, H Ferris and S Fu. 2008. Nematodes as indicators of soil recovery in tailings of a lead/zinc mine. Soil Biol Biochem 40: 2040-2046.Suin NM. 2003. The Ecology of Soil Fauna. Penerbit Bumi Aksara Jakarta (in Indonesian).Sugiyarto. 2000.The Biodiversity of soil macro fauna on the different age of sengon in RPH Jatirejo, Kabupaten Kediri. Biodiversitas 1: 47-53. (in Indonesian).Sugiyarto, M Pujo and Nursihmiati. 2001. Relationship between the Soil Meso Fauna Biodiversity and Belowground Vegetation in Some Forest Trees of Jobolarangan. Biodiversitas 2: 140-145 (in Indonesian)Wallwork JA. 1970. Ecology of Soil Animals. London: Mc.Graw-Hill. 283 pp.Wallwork JA.1976. The Distribution and Diversity of Soil Fauna. Academic Press Inc. (London). 355 pp.
Land Suitability Study in Ultisols for Soybean Based on Soil Fauna Anwar, Ea Kosman; Nurlaily, Ridha; Sarmah, .; Purwani, Jati
JOURNAL OF TROPICAL SOILS Vol. 18 No. 3: September 2013
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2013.v18i3.231-239

Abstract

Evaluation of land suitability for soybean by involving the presence and biodiversity of soil fauna has been conducted. The research was done on thecenter of soybean plantations in Ultisols soils in Banten, Lampung, and Lahat (south Sumatera) Provinces. The objective of research was to determine the interaction between soil fauna diversity in Ultisols soil and productivity of soybean. The research used a Survey Method. Every location was divided into three categories of vegetation performance, such as, less vegetation, average vegetation, and very fertile vegetation with two replicates. The chemical, physical, and biological properties of soils from every unit sampling were analyzed. The results showed that nutrient and chemical properties of soil which directly influenced the growth and production of soybean was P-potential, P-available, K-available, B (Boron), Ca and pH; the physical properties were pores drainage, pores rapid drainage, soil water content, and soil permeability. The presence of earthworm did not have direct effect to soybean, except as the 3th between variables, meaning that the presence of earthworms affected soil physical properties, soil physical properties affected nutrient availability, nutrient availability affected the biomass and yield of soybean.Keywords: Earthworm, land suitability, soil fauna, soybeans, Ultisol [How to Cite: Anwar EK, R Nurlaily, Sarmah and J Purwani. 2013. Land Suitability Study in Ultisols for Soybean Based on Soil Fauna. J Trop Soils 18 (3): 231-239. Doi: 10.5400/jts.2013.18.3.231][Permalink/DOI: www.dx.doi.org/10.5400/jts.2013.18.3.93]REFERENCESAlexander M. 1977. Introduction of Soil Microbiology. John Wiley and Sons, New York-Chichester-Brisbane-Toronto-Singapore, 467 p.Anwar EK. 2007. Pengaruh Inokulan Cacing Tanah dan Pemberian Bahan Organik terhadap Kesuburan dan Produktivitas Tanah Ultisols. J Trop Soils 12: 121-130 (in Indonesian).Anwar EK, RDM Simanungkalit, E Santoso and Sukristiyobubowo. 2010. Population density and distribution in wetland earthworm organic farming systems, semi organic and conventional. Biota, J Biol Sci 15: 113-117.Ayuke FO,L Brussard, BVanlauwe, J Six, DK Lelei, CN Kibunja and MM Pulleman. 2011. Soil fertility management: Impacts on soil macrofauna, soil aggregation and soil organic matter allocation. Appl Soil Ecol 48: 53-62.Balai Penelitian Tanah. 2005. Petunjuk Tekniks Analisis Kimia Tanah, Tanaman, Air, dan Pupuk. Badan Penelitian dan Pengembangan Pertanian Departemen Pertanian. Bogor, 136 p. (in Indonesian).Dayan A, 1979. Introduction Methods Statistik. Jilid I, LP3ES, Jakarta (in Indonesian).Djaenudin D, H Marwan, H Subagjo and A Hidayat. 2003. Technical Guidelines for Agricultural Land Evaluation. Research Institute for Soil, Puslitbangtanak, Agricultural Research Agency, 154p.Djaenudin D, H Marwan, H Subagyo, A Mulyani and N Suharta. 2003a. Kriteria Kesesuaian Lahan untuk Komoditas Pertanian. Versi 3. Pusat Penelitian Tanah dan Agroklimat, Bogor (in Indonesian)Drapper N and H Smith 1976. Applied Regression Analysis, Second Edition. WileyIntersciencea division of John Wiley & Sons. Inc. 605 Third Avenue, New York N.10158Edwards CA and JR Lofty. 1977. Biology of Earthworms. A Boo Halsted Press, John Wiley & Sons, New York. 333 p.Giller KE, MH Beare, P Lavelle, AMB Izac and MJ Swift. 1997. Agricultural Intensification, Soil Biodiversity, and agroecosystem function. Appl Soil Ecol 6: 3-16.ICALRRD [Center for Agricultural Land Resources Research and Development]. 2006. Soil Physical Properties and Methods of analysis. Agency for Agricultural Research and Development Department of Agriculture. 282p.ICALRRD [Center for Agricultural Land Resources Research and Development]. 2007. Soil Biology Analysi Methods. Agency for Agricultural Research and Development Department of Agriculture. Kilowasid MLH, TS Syamsudin, FX Susilo and E Sulistyawati. 2012. Ecological Diversity of Soil Fauna as Ecosystem Engineers in Small-Holder Cocoa Plantation in South Konawe. J Trop Soils 17: 173-180.Lal R. 1995. Sustainable Management of Soil Resources in the humic Tropics. United Nations University Press, Tokio-New York-Paris, pp. 25-29.Rao S. 1994. Soil microorganisms and plant growth. Publisher University of Indonesia, 354 p.Soil Survey Staff. 1998. Keys to Soil Taxonomy. 8th Edition. USDA Natural Resources Conservation Service. Washington DCSubowo G, I Anas, G Djajakirana, A Abdurachman and S Hardjowigeno. 2002. Pemanfaatan cacing tanah untuk meningkatkan produktivitas Ultisols lahan kering. J Tanah Iklim 20: 35-46 (in Indonesian).Subowo G. 2010. Peranan biologi tanah dalam evaluasi kesesuaian lahan pertanian kawasan mega diversity tropika basah. Balai Besar Litbang Sumberdaya Lahan Pertanian. Badan Litbang Pertanian. J Sumberdaya Lahan 4: 93-102 (in Indonesian).Subowo G. 2011. Penambangan Sistem Terbuka Ramah Lingkungan dan Upaya Reklamasi Pasca Tambang untuk Memperbaiki Kualitas Sumberdaya Lahan dan Hayati Tanah. J Sumberdaya Lahan 5: 83-94 (in Indonesian).Zangarle A, A Pando and P Lavelle. 2011. Do earthworms and roots cooperate to build soil macroaggregates? Geoderma 167-168: 303 -309.
3D Agro-ecological Land Use Planning Using Surfer Tool for Sustainable Land Management in Sumani Watershed, West Sumatra Indonesia Aflizar, .; Idowu, Alarima Cornelius; Afrizal, Roni; Jamaluddin, .; Husnain, .; Masunaga, Tsugiyuki; Syafri, Edi; Muzakir, .
JOURNAL OF TROPICAL SOILS Vol. 18 No. 3: September 2013
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2013.v18i3.241-254

Abstract

Estimation of soil erosion 3D (E3D) provides basic information that can help manage agricultural areas sustainably, which has not been sufficiently conducted in Indonesia. Sumani watershed is main rice production area in West Sumatra which has experienced environmental problem such as soil erosion and production problem in recent years. 3D Agro-ecological land use planning based on soil erosion 3D hazard and economic feasibility analyses consist of production cost and prize data for each crop. Using a kriging method in Surfer tool program, have been developed data base from topographic map, Landsat TM image, climatic data and soil psychochemical properties. Using these data, the Universal Soil Loss Equation was used for spatial map of soil erosion 3D and proposed a 3D agro-ecological land use planning for sustainable land management in Sumani watershed. A 3D Agro-ecological land use planning was planned under which the land use type would not cause more than tolerable soil erosion (TER) and would be economically feasible. The study revealed that the annual average soil erosion from Sumani watershed was approximately 76.70 Mg ha-1yr-1 in 2011 where more than 100 Mg ha-1yr-1 was found on the cultivated sloping lands at agricultural field, which constitutes large portion of soil erosion in the watershed. Modification of land use with high CP values to one with lower CP values such as erosion control practices by reforestation, combination of mixed garden+beef+chicken (MBC), terrace (TBC) or contour cropping+beef+chicken (CBC) and sawah+buffalo+chicken (SBC) could reduce soil erosion rate by 83.2%, from 76.70 to 12.9 Mg ha-1 yr-1, with an increase in total profit from agricultural production of about 9.2% in whole Sumani watershed.Key words: CP-values, Erosion 3D, land use, Surfer Tool, USLE [How to Cite: Aflizar, AC Idowu, R Afrizal, Jamaluddin, E Syafri, Muzakir, Husnain and T Masunaga. 2013. 3D Agro-ecological Land Use Planning Using Surfer Tool for Sustainable Land Management in Sumani Watershed, West Sumatra Indonesia. J Trop Soils 18 (3): 241-254. Doi: 10.5400/jts.2013.18.3.241][Permalink/DOI: www.dx.doi.org/10.5400/jts.2013.18.3.241]REEFERENCESAflizar, A Roni and T Masunaga. 2013. Assessment Erosion 3D hazard with USLE and Surfer Tool: A Case study of Sumani Watershed in West Sumatra Indonesia. J Trop Soil 18: 81-92 doi: 10.5400/jts.2012.18.1.81Aflizar, A Saidi, Husnain, Hermansah, Darmawan, Harmailis, H Soumura, T Wakatsuki and T Masunaga. 2010. Characterization of Soil Erosion Status in an Agricultural Watershed in West Sumatra, Indonesia. Tropics 19: 28-42.Agrell PJ, A Stam and GW Fischer. 2004. Interactive multiobjective agro-ecological land use planning: The Bungoma region in Kenya. Eur J Operat Res 158: 194-217Agus F, DK Cassel and DP Garrity. 1997. Soil-water and soil physical properties under countour hedgerow systems on sloping oxisols. Soil Till Res 40: 185-199.Blake GR and R Hartage. 1986. Bulk Density. In: A Klute (ed). Methods of Soil Analysis, Part 1. Physical and Minerological Methods. American Society of Agronomy and Soil Science Society of America, Madison, Wisconsin, p. 364-367. Brady NC and RR Weil. 2008. The Nature and Properties of Soils. Fourteenth edition reviced. Pearason International edition. Pearson education Japan. p. 121-171.Chris SR and H Harbor. 2002. Soil erosion assessment tools from point to regional scales-the role of geomorphologists in land management research and implication. Geomorphology 47: 189-209.Choudhury C, PM Chauhan, P Garg and HN Garg. 1996. Cost-Benefot ratio of triple pass solar air heates. Energy Convers Manage 37: 95-116. Crasswell ET, A Sajjapongse, DJB Hawlett and AJ Dowling. 1997. Agroforestry in the management of sloping lands in Asia and the Pacific. Agrofores Sys 38: 121-130.FAO [Food and Agriculture Organization]. 1993. Guidelines for Land Use Planning. FAO Development Series 1, FAO, Rome.FAO/IIASA [Food and Agriculture Organization/International Institute for Applied Systems Analysis]. 1991. Agro-Ecological Land Resources Assessment for Agricultural Development Planning; A Case Study of Kenya: Resource Database and Land Productivity. Main Report and 8 Technical Annexes. Rome, AGL-FAO. 9 vols. 1150 p. Gee GW and JW Bauder. 1986. Particle size analysis. In: A Klute (ed). Methods of soil Analysis, Part 1. Physical and mineralogical Methods, American Society of Agronomy and Soil Science Society of America, Madison, Wisconsin, pp. 399-404.Golden software. 2010. Surfer® 9 for windows. Golden, Colorado. Available online http://www.goldensoftware.com/products/surfer/surfer.shtml.Hammer WI. 1981. Second soil conservation consultant report AGOF/INS/78/006. Tech. Note No 10, Centre of Soil Research, Bogor.Irvem A, F Topaglu and V Uygur. 2007. Estimating spatial distribution of soil loss over Seyhan River Basin in Turkey. J Hydrol 336: 30-37.IITA [International Institute of Tropical Agriculture]. 1979. Selected Methods for Soils and Plant Analysis, Manual Series No. 1, IITA, Ibadan, Nigeria, pp. 70.Iwata T, S Nakano and M Inoue. 2003. Impact of past riparian deforestation on stream communities in a tropical rain forest in Borneo. Ecol Appl 13: 461-473.Karyono. 1990. Home garden in Java: their structure and function. In: Lan-dauer K, M Brazil (eds). Tropical Home Garden, The United Nations University Press, Tokyo, pp. 138-146.Kravchenko A and DG Bullock. 1999. A comparative study of interpolation method for mapping soil properties. Agron J 91: 393-400.Kusumandari A and BR Mitchell. 1997. Soil erosion and sediment yield in forest and agroforestry areas in West Java, Indonesia. J Soil Water Cons 52: 376-380.Lee BD, RC Graham, TE Lauren, C Amrhen and RM Creasy. 2001: Spatial Distribution of Soil Chemical condition in a serpentinitic Wetland and Surrounding Landscape. Soil Sci Soc Am J 65: 1183-1196.Margareth and Arens. 1989. World Bank Environmental Department Working paper No.18. The World Bank, Washington, DC.Paranginangin N, R Sakthivadivel, NR Scoot, E Kendy and TS Steenhuis. 2004. Water accounting for conjunctive groundwater/surface water management: case of the Singkarak-Ombilin River basin, Indonesia. J Hydrol 292: 1-22.Reeve RC. 1965. Particle-size Analysis. In: CA Black, DD Evans, JL White, Ensminger and FE Clark (eds). Methods of Soil Analysis Part 1. Physical and Mineralogical Methods, American Society of Agronomy, Madison, Wisconsin, pp. 528-530. Sarainsong F, K Harashima, H Arifin, K Gandasasmita and K Sakamoto. 2007. Practical application of a land resources information system for agricultural landscape planning. Landscpe Urban Plan 79: 38-52.Schob A, J Schmidt and R Tenholtern. 2006. Derivation of site-related measures to minimize soil erosion on the watershed scale in the Saxonian loess belt using the model erosion 3D. Catena 68: 153-160.Shi ZH, CF Cai, SW Ding, TW Wang and TL Chow. 2004. Soil conservation planning at the small watershed level using RUSLE with GIS: a case study in the Three Gorge Area of China. Catena 55: 33-48.Soil Survey Staff. 1990. Keys to Soil Taxonomy. Washington, DC: USDA Natural Resources Conservation Service. Available online ftp://ftp-fc.sc.egov.usda.gov/NSSC/Soil_Taxonomy/keys/1990_Keys_to_Soil_Taxonomy.pdf.Stevenson M and H Lee. 2001. Indicator of sustainability as a tool in agricultural development: portioning scientific and participatory processes. Int J Sustain Dev World Ecol 8: 57-56.Svoray T, P Bar and T Bannet. 2005. Urban land-use allocation in a Mediterranean ecotone: Habitat heterogeneity Model incorporated in a GIS using a multi-criteria mechanism. Landscape Urban Plan 72: 337-351.Takata Y, S Funukawa, J Yanai, A Mishima, K Akshalov, N Ishida and T Kosaki. 2008. Influence of crop rotation system on the spatial and temporal variation of the soil organic carbon budget in northern Kazakhstan. Soil Sci Plant Nutr, 54: 159-171.Wakatsuki T, Y Shinmura, E Otoo and GO Olaniyan. 1998. African-based paddy field system for the integrated watershed management of the small inland valley of West Africa. FAO Water Report no. 17. pp. 5-79.Wischmeier WH and DD Smith. 1978. Predicting rainfall erosion losses: a guide to conservation farming, USDA Handbook: No. 537 US Department of Agriculture, Washington, DC pp 1-58.World Bank. 1989. World Bank Technical Paper Number 127. In: Doolette JB and WB Magrath (eds). Watershed Development in Asia. Strategies and Technologies Available online: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/1999/09/17/000178830_98101904135527/Rendered/INDEX/multi_page.txt.Zhang Y, H Yang, M Du, X Tang, H Zhang and B Peng. 2003. Soil erosion study on hillside in Southern Jiangsu province the cesium-137 tracer technique. Soil Sci Plant Nutr 49: 85-92.
Phosphorus Fertilization Under Different Land Preparation Methods and Performance of Groundnut (Arachis hypogea L.) in Rainforest Zone of Southern Nigeria Ogeh, Joseph Sunday; Oyibo, Rukeme Orakpogbake
JOURNAL OF TROPICAL SOILS Vol. 19 No. 1: January 2014
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2014.v19i1.1-7

Abstract

A field experiment was conducted on an Arenic paleudult in the rainforest zone of Southern Nigeria to determine the response of an improved variety of peanut (Arachis hypogea L. var. Samnut 23) to phosphorus, under different land preparation methods. Selected land preparation methods were “slash and burn” (SB) and “slash and mulch” (SM), and the phosphate fertilizer rates were 0, 30, 60, 90 and 120 kg P ha-1.  The experiment was laid out as a randomized complete by block design. Each land preparation was divided into plots. Macro- and micro nutrient contents of peanut plants were determined, and the growth and yield components were also assessed. Results showed that the pre planting soil analysis for the SB management had a pH of 5.77, N (1.8 gkg-1), P (2.05 mgkg-1) and K (0.11cmol (+) kg-1), while that of the SM had a pH of 5.95, N (0.9 g kg-1), P (0.86 mg kg-1) and K (0.07cmol(+)kg-1).  Plant height was not significantly different (pd” 0.05) in the land preparation methods, but leaf area was significantly different. However, plant height and leaf area responded better under the SB treatment with 90 kg P ha-1 rate of phosphorus fertilizer than the SM treatment under the same rate. Fresh pod weight of 908.6kg ha-1 and dry pod weight of 558.0kg ha-1 was obtained at 60 kg P ha-1 under the SB treatment and was significantly different from all other treatments including the SM. Significant differences were also observed in the nutrient concentrations of leaves and roots. Highest leaf phosphorus content (3.502 mg kg-1) was recorded at 90kg P ha-1 in the SM treatment while the highest nutrient content of P in the roots (0.272 mg kg-1) was recorded at 30 kg P ha-1 also in the SM treatment. However, the SB treatment recorded the highest peanut seed pods / shell at 60 kg P ha-1. Generally, phosphorus fertilization under the SB management practice gave better results than the SM management practice.Keywords: groundnut, land preparation, phosphorus fertilization, Slash and burn, slash and mulch    [How to Cite: Joseph SO and RO Oyibo. 2014. Phosphorus Fertilization Under Different Land Preparation Methods and Performance of Groundnut (Arachis hypogea L.) in Rainforest Zone of Southern Nigeria. J Trop Soils 19(1): 1-7. Doi: 10.5400/jts.2014.19.1.1]  
Influence of SP-36 and Phosphate Rock on Changes in Soil Available P, Leaf P Content, and Growth of Physic Nut (Jatropha curcas L.) in an Ultisol Rivaie, Achmad Arivin
JOURNAL OF TROPICAL SOILS Vol. 19 No. 1: January 2014
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2014.v19i1.9-15

Abstract

A study was carried out to determine the effects of rates and types of P fertilizer (SP-36 and Phosphate Rock) on the growth of physic nut (Jatropha curcas L.), leaf P content, and soil available P in an Ultisol in a glasshouse. The treatments consisted of four rates of P (0, 50, 100 and 150 mg P2O5 kg-1 soil) given in two different types of P fertilizer, namely SP-36 (total P2O5 = 36%) and Phosphate Rock (total P2O5 = 28%, particle size distribution = 75%<0.25 mm, 85%<0.50 mm, 90%<1.00 mm). Treatments were arranged in a Completely Randomized Design with three replications. The results showed that at the rates of 50 and 100 kg P2O5 ha-1, there was no difference in soil available P due to the application of SP-36 and Phosphate Rock, indicating that both types of P fertilizer had the same dissolution values after 8 months of P fertilizer application. At the rate of 50 kg P2O5 ha-1, the application of SP-36 and Phosphate Rock gave the same leaf P content. This could indicate that up to the first 8 months, the addition of the cheaper Phosphate Rock and the SP-36 to the soil had similar effectiveness. The response of tree biomass to P fertilization followed a quadratic pattern, in which for the application of Phosphate Rock, the P optimum rate was achieved at the rate which was lower than that for the application of SP-36. This suggests that the application of Phosphate Rock to physic nut trees was more efficient and effective compared to the application of SP-36.Keywords: Leaf P, phosphate Rock, physic nut (Jatropha curcas L.), soil available P, [How to Cite: Achmad AR. 2014. Influence of SP-36 and Phosphate Rock on Changes in Soil Available P, Leaf P Content, and Growth of Physic Nut (Jatropha curcas L.) in an Ultisol. J Trop Soils 19: 9-15. Doi: 10.5400/jts.2014.19.1.9]   
Effect Application of Sea Sand, Coconut and Banana Coir on the Growth and Yield of Rice Planted at Ustic Endoaquert Soil Nurdin, .
JOURNAL OF TROPICAL SOILS Vol. 19 No. 1: January 2014
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2014.v19i1.17-24

Abstract

The research was aimed to study effect application of sea sand (SS), coconut coir (CC) and banana coir (BC) on the growth and yield of rice (Oryza sativa L.) planted at Ustic Endoaquert soil. The pot experiment was carried out using a factorial design with 3 factors. The first factor was SS consisted of three levels i.e.: 0%, 25%, and 50%. The second and third factors were CC and BC, each consisted of three levels i.e.: 0, 10, and 20 Mg ha-1. Application of SS and BC significantly increased leaf length where the highest increasing  percentage  was  16.47%  which  was  achieved  at  25%  SS  application.  Their  effect  on  leaf numbers and tiller numbers were relatively not similar pattern where leaf number only increased about 65.52% by BC application, while tiller numbers only increased about 10.77% by SS application. Furthermore, the application of CC and BC significantly increased panicle numbers to 29.53% and 29.05%, respectively compared to control. All ameliorants significantly increased panicle numbers, but the best was CC with the increasing up to 46.49% at 20 Mg ha-1 CC compared to SS or BC application. However, only coconut coir significantly increased the rice grain numbers.Keywords: Banana coir, coconut coir, rice plant, sea sand, vertisol [How to Cite: Nurdin. 2014. Effect Application of Sea Sand, Coconut and Banana Coir on the Growth and Yield of Rice Planted at Ustic Endoaquert Soil. J Trop Soils 19: 17-24. Doi: 10.5400/jts.2014.19.1.17] 
Efficiency Test of IRRI Fertilizing Recommendations on Rainfed Low Land Rice Field in West Kalimantan Hatta, Muhammad; Syam, Mahyuddin; Widiastuti, Dwi Purnamawati
JOURNAL OF TROPICAL SOILS Vol. 19 No. 1: January 2014
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2014.v19i1.25-33

Abstract

Fertilizing recommendation for lowland rice field in West Kalimantan is still in national scale and tends to be excessive. It is less relevant due to various factors such as the test method competence, the carrying capacity  of  the  land,  and  the  diverse  condition  of  rice  field  agro-ecosystem.  Site-specific  nutrient management (SSNM) is an approach for rice fertilizing on paddy plot based on science, history of land fertilization,  and  nutrient  sources  surrounding  the  area  which  can  affect  soil  fertility  level  and  soil conservation.This study was aimed to examine fertilizing efficiency of N, P, and K and the increased productivity of rice by utilizing software (website) of the IRRI. The study was conducted in farmers fields in two villages, i.e. Anjongan and Pak Bulu, Pontianak Regency, West Kalimantan. The results showed that the SSNM fertilization on rice increased yields by the average of 0.62 t ha-1 (13.47%) per growing season. The efficiency of SSNM fertilization was on the average of 22.05% N, 48.25% P2O5, and 31.50% K2O. The additional profits obtained from the SSNM recommendation was on the average of IDR 1,886,317 per ha pergrowing season compared to the profits from the FFP (farmer fertilizer practice).Keywords: Fertilizing efficiency, low land, rice, site specific fertilization [How to Cite: Muhammad H, M Syam and DP Widiastuti. 2014. Efficiency Test of IRRI Fertilizing Recommendations on Rainfed Low Land Rice Field in West Kalimantan. J Trop Soils 19: 25-33. Doi: 10.5400/jts.2014.19.1.25]   
Use of Ameliorants to Increase Growth and Yield of Maize (Zea mays L.) in Peat Soils of West Kalimantan Suswati, Denah; Sunarminto, Bambang Hendro; Shiddieq, Dja’far; Indradewa, Didik
JOURNAL OF TROPICAL SOILS Vol. 19 No. 1: January 2014
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2014.v19i1.35-41

Abstract

Peatland in Indonesia has a potential for maize cultivation, but it has constraints that low of soil pH and of nutrient availability. Use of ameliorants from coastal sediment and salted fish waste was an alternative to improve peatlands productivity and maize yields. Objective of the study was to examine effects of coastal sediment and salted fish waste on growth and yield of maize at three kinds of soil of peatlands of Kubu Raya, West Kalimantan. This research was conducted  in  field  using  Inter-area analysis  design.  The  first  factor  was  combination  of  each ameliorants  which consisted of 5 levels, namely: 1) treatment under farmer custom at the sites (control); 2) coastal sediment of 20 Mg ha-1 + 0.75 Mg of salted fish waste ha-1; 3) coastal sediment of 40 Mg ha-1 + 1.5 Mg of salted fish waste ha-1, 4) coastal sediment of 60 Mg ha-1 + 2.25 Mg of salted fish waste  ha-1. The second factor was soil types which consisted of three levels, namely: Typic Haplohemists, Typic Sulfisaprists and Typic Haplosaprists. Each treatment was repeated 5 times. The results showed that combination of 40 Mg ha-1 of coastal sediment and 1.5 Mg ha-1 of salted fish waste was the best combination for all soil type. It increased plant height (33% - 44%), shoot dry weight (74% - 75%), number of seeds per cob (31% -110%), weight of 100 seeds (58% -71%) and dry grain weight per plant (136 % -160 %) at each soil. The highest yield was found in soil of Typic Haplosaprists (219.54 g), followed by Typic Sulfisaprists (210.72 g) and Typic Haplohemists (208.82 g).Keywords: Coastal sediment, maize, peat soils, salted fish waste [How to Cite: Denah S, BH Sunarminto, D Shiddieq and D Indradewa. 2014. Use of Ameliorants to Increase Growth and Yield of Maize (Zea mays L.) in Peat Soils of West Kalimantan. J Trop Soils 19: 35-41. Doi: 10.5400/jts.2014.19.1.35]    
Potency of Agroindustrial Wastewaters for Increasing Dissolution of Phosphate Rock Fertilizers Niswati, Ainin; Yusnaini, Sri; Sarno, .
JOURNAL OF TROPICAL SOILS Vol. 19 No. 1: January 2014
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2014.v19i1.43-51

Abstract

Agroindustrial wastewaters were considered not maximum used in Lampung Province since it has acidic properties that can be used as an acid solvent. This study aimed was to explore the most potential agroindustrial wastewaters in dissolving phosphate rock by acidulation in the laboratory scale. The experimen were arranged by factorial i.e. first factor were phosphate rock origin (Sukabumi, west Java and Selagailingga, central Lampung) and second factor was kinds of solvent (agroindustrial wastewaters of pineapple, tapioca, tofu industry, and palm oil as well as a conventional acid solvent such as HCl, H2SO4, and CH3COOH).  The incubation process were 0, 1, 2, and 3 month. The results showed that agroindustrial wastewaters that have highest potency for solubizing phosphate rock was industrial tofu wastewaters and followed by industrial wastewaters of tapioca, palm oil, and pineapple. Both the conventional  acid  and  agroindustrial  wastewaters    solvent  have  a  big  potency  for  solubilize  phosphate  rock, however, its highest soluble P-value was not match with the ISO criteria for phosphate fertilizers Quality I (SNI) because it has not reached the solubility of 80% of its total P2O5, but has been qualified as a fertilizer both the quality phosphate A, B, and C (SNI).Keywords: Acidulation, agroindustrial wastewater, P fertilizer, phosphate rock [How to Cite: Ainin N, S Yusnaini and Sarno. 2014. Potency of Agroindustrial Wastewaters to Increase the Dissolution of Phosphate Rock Fertilizers. J Trop Soils 19: 43-51. Doi: 10.5400/jts.2014.19.1.43]    
Identification and Evaluation of Potential Land Resources to Support the Development of Agricultural Commodities for Food Crops Zone Prasetya, Nurdiyanto Agung; Hikmatullah, .; Asisah, .; Saleh, Muhamad Buce; Tarigan, Suria Darma
JOURNAL OF TROPICAL SOILS Vol. 19 No. 1: January 2014
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2014.v19i1.53-61

Abstract

To support the goverment purpose to reach the food security, a land use study is needed. The aim of the research was  to provide  an  information  of  characteristics of  land  resources through the identification  and evaluation  of potential landresources and that suitable for food crops in Mamuju District South Sulawesi. The research method used landscape approach to mapping land units as the basis for preparing the soil map unit/DEM compared with field data survey. A case study was done in Mamuju District, West Sulawesi the results showed that the land in Mamuju for paddy covering was suitable enough of 115,250 ha and 54,883 ha of marginal fit, while for dryland crops were 106 978 ha was quite suitable and appropriate marginal was 82,592 ha. However, for cocoa fit enough land was 153,397 ha and corresponding marginal was 485,743 ha. Biophysical constraints were the erosion of land use/steep slopes, drainage, seasonal flooding, toxicity and nutrient retention. Direction of land use for agriculture in Mamuju for Rice crop area was 49,345 ha (6.23%), food crops rice and dry land was 10,680 ha (1.35%), dryland crops/crops was 101,785 ha (12.85%), perennial/Cocoa was 90,488 ha  (11.42%), and conservation land was 532,245 ha (67.18%).Keywords : Cland crops, land identification, soil evaluation [How to Cite: Nurdiyanto AP, Hikmatullah, Asisah, MB Saleh, and SD Tarigan. 2014. Identification and Evaluation of Potential Land Resources to Support the Development of Agricultural Commodities for Food Crops Zone. J Trop Soils 19: 53-61. Doi: 10.5400/jts.2014.19.1.53]   

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