cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dermiyati
Contact Email
dermiyati.1963@fp.unila.ac.id
Phone
+62721781822
Journal Mail Official
j.tnhtrop@gmail.com
Editorial Address
Faculty of Agriculture, University of Lampung, Jl. Sumantri Brojonegoro No. 1, Bandarlampung 35145, Indonesia
Location
Kota bandar lampung,
Lampung
INDONESIA
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
 14   15   16   17   18 
Activity of Soil Microorganisms During the Growth of Sweet Corn (Zea Mays Saccharata Sturt) in the Second Planting Time with the Application of Fertilizers and Biochar . Dermiyati; Agus Karyanto; Ainin Niswati; Jamalam Lumban Raja; Sugeng Triyono; Nyang Vania Ayuningtyas Harini
JOURNAL OF TROPICAL SOILS Vol 22, No 1: January 2017
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2017.v22i1.37-45

Abstract

Efforts to increase the production of sweet corn can be done with the application of fertilizers, either inorganic, organic orits combination. In addition, the application of soil amendments such as biochar is also expected to improve soil fertility that will indirectly increase the production of sweet corn.Organonitrophos fertilizer is an organic fertilizer developed by lecturers of Faculty of Agriculture, University of Lampung. The research was aimed to study effect the combination of organonitrophos, and inorganic fertilizers, biochar and the interaction between fertilizer combination and biochar on soil respiration and soil microbial biomass.The research was conducted in the Integrated Field Laboratory of Lampung University using 6x2 factorial in a Randomized Block Design with 3 replications. The first factor was six levels combination of organonitrophos and inorganic fertilizers (P0, P1, P2, P3, P4, and P5). The second factor was two levels of biochar dosage (B0 and B1). Data was analyzed by Analysis of Variance and followed by the Least Significant Difference (LSD)Test at 5% level. The observed variables were soil microorganism activity likely soil respiration and soil microbial biomass. The results showed that P3B1treatment (300 kg Urea ha-1, 125 kg SP-36 ha-1, 100 kg KCl ha-1 + 2500 kg organoitrophos ha-1) was the highest soil respiration at of 60 days after planting (DAP). P5 treatment (5000 kg Organonitrophos ha-1) has the highest soil microbial biomasscompared to other treatments at 60 and 90 DAP. B1 treatment (5000 kg biochar ha-1) has higher soil respiration and soil microbial biomasscompared to treatment (0 kg biochar ha-1. There was an interaction between combination of organonitrophos and inorganic fertilizers and biochar on soil respiration at 90 DAP. However, there was no interaction between fertilizer combination and biochar on soil microbial biomass.Keywords: Biochar, Fertilizer Combination, Organonitrophos, Soil Microbial Biomass Carbon and Soil Respiration
Land Suitability Index for Estimating Sugar Cane Productivity in the Humid Tropics of South Sulawesi Indonesia Risma Neswati; Christianto Lopulisa; Muhammad Nathan; Andi Ramlan
JOURNAL OF TROPICAL SOILS Vol 21, No 2: May 2016
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2016.v21i2.115-122

Abstract

This research was completed using mixed qualitative and quantitative methods. Field surveys were executed in sugar cane plantation throughout South Sulawesi Indonesia. Land suitability analyses were performed using a parametric approach with Storie’s index equation followed up with  correlation analysis using the Pearson correlation. Results revealed that the period for sugarcane crop growth in the humid tropic relatively dry regions of South Sulawesi Indonesia lasted for the months of November to July.  The land suitability for sugar cane in the research location was moderately suitable (S2c) and marginally suitable (S3c, S3s, S3s,f and S3c,w) with limiting factors such as relative humidity during crop maturation phase, the duration of sunlight, soil depth, soil texture, soil pH and soil drainage. Land suitability index at the research location ranged from 25.2 to 55.0; sugar cane yields ranged from 30.3 to 62.0 Mg ha-1 year-1. Pearson correlation coefficient (r) between LSI with cane and sugar productivity were 0.81 and 0.84 respectively, signifying the strength of the correlation between the two values. This also indicates that land suitability index can be estimating the potential crop yield in the humid tropicsthat relatively dry climate regions.
Ameliorant Application on Variation of Carbon Stock and Ash Content on Peatland South Kalimantan Siti Nurzakiah; Fahmuddin Agus; Haris Syahbuddin
JOURNAL OF TROPICAL SOILS Vol 18, No 1: January 2013
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2013.v18i1.11-16

Abstract

Carbon stock on peatlands are large and will be easily emitted if the land is opened or drained, therefore the measurements of  carbon stocks and ash content are important to know the amount of emissions and agricultural sustainability in peatlands. This study aimed to determine carbon stock and ash content on peatlands in the Indonesia Climate Change Trust Fund (ICCTF) located in South Kalimantan on the geographic position S. 03°25’52" and E. 114°47’6.5". The experiment consisted of six treatments of ameliorant materials namely; mineral soil, peat fertilizer A, peat fertilizer T, manure, ash, and control.  The results showed that the variation of peat soil properties was very high at this location. Peat thickness ranged from 36-338 cm, and this led to high variations in carbon stocks ranged between 161.8 – 1142.2 Mg ha-1. Besides ash contents of the soil were also highly varied ranged from 3.4 – 28.5%. This natural variation greatly affected the ICCTF study design. Mineral soil treatment had a mean carbon stock (961.3 ± 61.5 Mg ha-1) which was higher and different from other treatments. High ash content was obtained in the ash treatment (18.6 ± 2.5%) and manure (15.7 ± 3.6%).  It is recommended that the analysis of plant responses and greenhouse gas emissions using a single regression analysis and multiple regression with ash content as one of the independent variables are needed.Keywords: Ash content, carbon stock, peatland,  peat thickness[How to Cite: Nurzakiah S, F Agus, and H Syahbuddin. 2013. Ameliorant Application on Variation of Carbon Stock and Ash Content on Peatland South Kalimantan J Trop Soils, 18 (1) : 11-16. doi: 10.5400/jts.2013.18.1.11][Permalink/DOI: www.dx.doi.org/10.5400/jts.2013.18.1.11]  
Soil Erosion Prediction Using GIS and RUSLE: Study at Sampean Watershed Arif Faisol; Indarto Indarto
JOURNAL OF TROPICAL SOILS Vol 15, No 2: May 2010
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2010.v15i2.147-152

Abstract

Soil Erosion Prediction Using GIS and RUSLE: Study at Sampean Watershed (A Faisol and Indarto): Erosion is one  factor that cause soil degradation in Indonesia. RUSLE (Revised Universal Soil Loss Equation) is widely used to predict average annual rate of soil erosion. This research integrate the Revised Universal Soil Loss Equation (RUSLE) and Geographic Information System (GIS) to predict potential soil erosion losses. Study was conducted at Sampean Watershed where located in Eastern part of East Java. Firstly, GIS layer was obtained from available database that cover East Java Province. All treatment of GIS layer was done using Mapwindows GIS. Furthermore, RUSLE method was used to predict rate of soil erosion from GIS layer treated previously.  Results showed that up to 82% (102,921 ha) area of the watershed have tolerable soil erosion rate.
The Growth of Oil Palm (Elaeis guineensis Jacq.) Seedlings with the Application of Different Arbuscular Mycorrhiza Fungi and Various Phosphorous Dosages Krisnarini Krisnarini; Maria Viva Rini; Paul Benyamin Timotiwu
JOURNAL OF TROPICAL SOILS Vol 23, No 3: September 2018
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2018.v23i3.117-124

Abstract

The effectiveness of Arbuscular Mycorrhiza Fungi (AMF) colonization depends on the type of AMF, plant species and phosphorus fertilization.  The aims of this study were to determine: the best type of AMF and the appropriate dosage of P fertilizer for the growth of oil palm seedlings, and whether the oil palm seedling responses to the application of AMF type is determined by the dosage of phosphorus applied. The experiment was arranged in a Randomized Complete Block Design (RCBD) with two factors and 5 replications. The first factor was the types of AMF (m), consisting of without mycorrhiza inoculation (m0), Gigaspora sp. MV16 isolate (m1), Glomus sp. MV7 isolate (m2), Gigaspora sp. MV16 isolate + Glomus sp. MV7 (m3) isolate.  The second factor was phosphorus fertilization (SP-36), consisting of 3 levels: 1/3 recommended dosage (p1), 2/3 recommended dosage (p2), full recommended dosage (p3). The results showed that the application of all AMF types resulted in the same effects on the growth of oil palm seedlings, however the seedling growth in the inoculated plants were better than in uninoculated plants (control). The application of the recommended dosage of P fertilizer produced the highest seedling growth. The response of seedlings to the application of AMF type was not determined by doses of phosphorus fertilizer applied.
Soil Erosion Prediction Using GIS and Remote Sensing on Manjunto Watershed Bengkulu, Indonesia Gusta Gunawan; Dwita Sutjiningsih; Herr Soeryantono; Soelistiyoweni Widjanarko
JOURNAL OF TROPICAL SOILS Vol 18, No 2: May 2013
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2013.v18i2.141-148

Abstract

The study aims to assess the rate of erosion that occurred in Manjunto Watershed and financial loss using Geographic Information System and Remote Sensing. Model used to determine the erosion is E30 models. The basis for the development of this model is to integrate with the slope of the slope between NDVI. The value of NDVI obtained from satellite imagery. Slope factor obtained through the DEM processing. To determine the amount of economic losses caused by erosion used the shadow prices. The amount of nutrients lost converted to fertilizer price. The results showed that the eroded catchment area has increased significantly. The rate of average annual erosion in the watershed Manjunto in 2000 amounted to 3 Mg ha-1 yr-1. The average erosion rate in the watershed Manjunto annual increase to 27 Mg ha-1 yr-1 in the year 2009. Economic losses due to erosion in 2009 was Rp200,000,- for one hectare. Total losses due to erosion for the total watershed area is Rp15,918,213,133, -. The main factor causing the high rate of erosion is high rainfall, slope and how to grow crops that do not pay attention to the rules of conservation.Keywords: Soil erosion, digital elevation model, GIS, remote sensing, valuation erosion[How to Cite: Gunawan G, D Sutjiningsih, H Soeryantono and S Widjanarko. 2013.Soil Erosion Prediction Using GIS and Remote Sensing on Manjunto Watershed Bengkulu-Indonesia. J Trop Soils 18 (2): 141-148. Doi: 10.5400/jts.2013.18.2.141][Permalink/DOI: www.dx.doi.org/10.5400/jts.2013.18.2.141]REFERENCESAksoy E, G Ozsoy and MS Dirim. 2009. Soil mapping approach in GIS using Landsat satellite imagery and DEM data. Afr J Agric Res 4: 1295-1302.Ananda J and G Herath. 2003. Soil erosion in developing countries: a socio-economic appraisal. J Environ Manage 68: 343-353.Ananda J, G Herath and A Chisholm. 2001. Determination of yield and Erosion Damage Functions Using Subjectivly Elicited Data: application to Smallholder Tea in Sri Lanka. Aust J Agric Resour Ec 45: 275-289.Ande OT, Y Alaga and GA Oluwatosin. 2009. Soil erosion prediction using MMF model on highly dissected hilly terrain of Ekiti environs in southwestern Nigeria. Int J Phys Sci 4: 053-057.Arnold JG, BA Engel and R Srinivasan. 1998. A continuous time grid cell watershed model. Proc. of application of Advanced Technology for management of Natural Resources.Arsyad S.  2010. Konservasi Tanah dan Air. IPB Press. Bogor-Indonesia (in Indonesian).Asdak C.1995. Hydrology and Watershed Management. Gadjah Mada University Press, Yogyakarta.Barlin RD and ID Moore. 1994. Role of buffer strips in management of waterway pollution: a review. Environ Manage 18: 543-58.Brough PA.1986. Principle of Geographical Information Systems For Land Resources Assessment. Oxford University Press, 194p.Clark B and J Wallace. 2003. Global connections: Canadian and world issues. Toronto, Canada: Pearson Education Canada, Inc.Cochrane T A and DC Flanagan. 1999. Assessing water erosion in small watershed using WEPP with GIS and digital elevation models. J Soil Water Conserv 54: 678 685.Dames TWg. 1955. The Soils of East Central Java; with a Soil Map 1:250,000. Balai Besar Penjelidikan Pertanian, Bogor, Indonesia.Dixon JA, LF Scura, RA Carpenter and PB Sherman. 2004. Economic Analysis of Environmental Impacts 2nd ed. Eartscans Publication Ltd., London.Fistikoglu O and NB Harmancioglu. 2002. Integration of GIS with USLE in Assessment of Soil Erosion. Water Resour Manage 16: 447-467.Green K. 1992. Spatial imagery and GIS: integrated data for natural resource management. J Forest 90: 32-36.Hazarika MK and H Honda. 2001. Estimation of Soil Erosion Using Remote Sensing and GIS, Its Valuation & Economic Implications on Agricultural Productions. The 10th International Soil Conservation Organization Meeting at Purdue University and the USDA-ARS Soil Erosion Research Laboratory.Hazarika S, R Parkinson, R Bol, L Dixon, P Russell, S Donovan and D Allen. 2009. Effect of tillage system and straw management on organic matter dynamics. Agron Sustain Develop 29: 525-533. doi: 10.1051/agro/2009024. Honda KL, A Samarakoon, Y Ishibashi, Mabuchi and S Miyajima.1996. Remote Sensing and GIS technologies for denudation estimation in Siwalik watershed of Nepal,p. B21-B26. Proc. 17th Asian Conference on Remote Sensing, Colombo, Sri lanka.Kefi M and K Yoshino. 2010. Evaluation of The Economic Effects of Soil Erosion Risk on Agricultural Productivity Using Remote Sensing: Case of Watershed in Tunisia. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Volume XXXVIII, Part 8, Kyoto Japan.Kefi M, K Yoshino, K Zayani and H Isoda. 2009. Estimation of soil loss by using combination of Erosion Model and GIS: case of study watersheds in Tunisia. J Arid Land Stud 19: 287-290.Lal R. 1998. Soil erosion impact on agronomic productivity and environment quality: Critical Review. Plant Sci 17: 319-464.Lal. 2001. Soil Degradation by Erosion. Land Degrad Develop12: 519-539.Lanya I. 1996. Evaluasi Kualitas lahan dan Produktivitas Lahan Kering Terdegradasi di Daerah Transmigrasi WPP VII Rengat Kabupaten Indragiri Hulu, Riau. [Disertasi Doktor]. Program Pasca Sarjana IPB, Bogor (in Indonesian).Mermut AR and H Eswaran. 2001. Some major developments in soil science since the mid 1960s. Geoderma 100: 403-426.Mongkolsawat C, P Thurangoon and Sriwongsa.1994. Soil erosion mapping with USLE and GIS. Proc. Asian Conf. Rem. Sens., C-1-1 to C-1-6.Morgan RPC, Morgan DDV and Finney HJ. 1984. A predictive model for the assessment of erosion risk. J Agric Eng Res 30: 245-253.Morgan RPC. 2005. Soil Erosion and Conservation. 3rd ed. Malden, MA: Blackwell Publishing Co.Panuju DR,  F Heidina, BH Trisasongko, B Tjahjono, A Kasno, AHA Syafril. 2009. Variasi nilai indeks vegetasi MODIS pada siklus pertumbuhan padi. J.Ilmiah Geomat. 15, 9-16 (in Indonesian).Pimentel D, C Harvey, P Resosudarmo, K. Sinclair, D Kurz, M Mc Nair, S Christ, L Shpritz, L Fitton, R Saffouri and R Balir. 1995. Environmental and Economic Costs of Soil Erosion and Conservation Benefits. Science 267: 1117-1123.Saha SK and LM Pande. 1993. Integrated approach towards soil erosion inventory for environmental conservation using satellite and agrometeorological data. Asia Pac Rem Sens J 5: 21-28.Saha SK, Kudrat M and Bhan SK.1991. Erosional soil loss prediction using digital satellitee data and USLE. In: S Murai (ed).  Applications of Remote Sensing in Asia and Oceania – Environmental Change Monitoring.  Asian Association of Remote Sensing, pp. 369-372.Salehi MH, Eghbal MK and Khademi H. 2003. Comparison of soil variability in a detailed and a reconnaissance soil map in central Iran. Geoderma 111: 45-56.Soil Survey Staff.  1998.  Keys to Soil Taxonomy. Eighth Edition. United States Department of Agriculture Natural Resources Conservation Service. Washington, D.C.
The Effect of Paraquat, Difenoconazole, and Butylphenyl Methylcarbamate (BPMC) on CO2 Emissions and Phenolic Acids in Peat Soil Indri Hapsari Fitriyani; Syaiful Anwar; Arief Hartono; Diah Tjahyandari
JOURNAL OF TROPICAL SOILS Vol 22, No 2: May 2017
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2017.v22i2.77-85

Abstract

Pesticides are widely used in agriculture, including on peat soil. The objective of this study was to analyze the effect of the application of paraquat, difenoconazole, and butylphenyl methylcarbamate (BPMC) on CO2 emissions and concentrations of phenolic acids in a peat soil. Peat soil sample was taken in District of Pulang Pisau, Central Kalimantan. The peat soil was applied with 1.89 mg kg-1 paraquat, 1.72 mg kg-1 difenoconazole and 1.65 mg kg-1 butylphenyl methylcarbamate (BPMC), then the soil was incubated for 1, 2, 4 , 5, 7, 10, 14, 21, 26 and 30 days. The results showed that the application of pesticides on peat soil increased CO2emission, and decreased CH4 emission and phenolic acid concentrations up to 30 days of incubation. The CO2 emmisions were derived from C of degraded pesticides and from C of phenolic acids, although the oxidation reaction was not accompanied by the change of soil pH. Keyword: CO2 emission, phenolic acids, butylphenyl methylcarbamate (BPMC), difenoconazole, paraquat, peat soil
Aluminum Exchangeable and Phosphorous Availability on Ultisol Using Humic Substance and Synthetic Organic Acid Sugeng Winarso; Abdullah Taufiq
JOURNAL OF TROPICAL SOILS Vol 16, No 3: September 2011
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2011.v16i3.183-190

Abstract

Humic substance (HS) extracted from composted agricultural waste contains organic acids that potential for an acid soil amandement. Functional group of COOH and OH in synthetically organic acid is higher than in HS originated from composted agricultural waste. Addition of synthetically organic acid to the HS may increase its functional group and therefore it will increase effectiveness in detoxifying aluminum (Al) and desorpting phosphorus (P) from an acid soil. Objective of reseach was to determine effect of synthetic organic acid addition to HS extracted from composted organic matter in desorpting P and detoxify Al. Research was conducted at Soil Laboratory of Agricultural Faculty of Jember University from February to May 2010. Treatment consisted of combination of four levels of HS concentration extracted from composted rice straw (0; 1,000; 2,000; and 5,000 mg kg-1) with two kind of synthetic organic acid: ethylenediaminetetraacetic acid (EDTA) and acetic acid (CH3COOH) at concentration of 5 mM. The treatment laid out in a randomized complete by design with three replications. Ultisol collected from Kentrong Banten was used in this reseach. Observation consisted of pH, Al and P concentration in the suspension at 0, 1, 2, 3, and 4 weeks after incubation. The result showed that EDTA or acetic acid treatment at concentration of 5 mM effectively increased soil pH and decreased exchangeable Al (exch-Al). However, EDTA was more reactive and having higher capability in increasing pH and detoxifying exch-Al than acetic acid. Humic substance extracted from composted rice straw at concentration of 1,000 to 5,000 mg kg-1 also effectively increased soil pH, decreased exch-Al, and increased P availability during a 4 week incubation period. The HS effect in Al detoxification and P desorption in acid soil could be boosted by addition of EDTA or acetic acid synthetic
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] 
Effect of Oxalic Acid, Na+, NH4+, and Fe3+ on Release of Fixed Potassium and Basal Distance of Smectite in Smectitic Soils Dedi Nursyamsi
JOURNAL OF TROPICAL SOILS Vol 14, No 3: September 2009
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2009.v14i3.177-184

Abstract

Laboratory experiment aimed to study effect of oxalic acid, Na+, NH4+, and Fe3+ on the release of fixed potassium and basal distance of smectite in smectitic soils was conducted in Laboratory of Soil Sciences, Graduate School of Agriculture, Kyoto University, Japan. The experiment used four of topsoil samples of Typic Hapludalfs (B1),  Chromic Endoaquerts (B2), Typic Endoaquerts (B3), and Typic Haplustalfs (B4) taken from Jonggol (Bogor), Sidareja (Cilacap), Padas (Ngawi), and Todanan (Blora) respectively. This experiment also used randomized completely block design, six treatments, i.e.: control (water), 1 N of oxalic acid, (oxalic acid+NaOH) pH=7, Na+, NH4+, and Fe3+ respectively and they were replicated three times. After extracting the samples, potassium concentration in supernatant was measured by Atomic Absorption Spectrophotometer (AAS) method and basal distance of smectite in clay paste was measured by X-Ray Diffraction (XRD) method. The result showed that oxalic acid, (oxalic acid+NaOH) pH=7, Na+, NH4+, and Fe3+ increased the release of fixed potassium by clay in all tested soils about 24.63-3744%, 31.88-45.38%, 25.37-48.35%, 27.48-42.32%, and 28.17-35.49%, respectively. Among the treatments, (oxalic acid+NaOH) pH=7 was the most effective in releasing fixed K at Alfisols, while Na+ at Vertisols.  Oxalic acid+NaOH pH=7, Na+, and Fe3+ increased the basal distance of smectite in the soils about 10.41%, 11.48%, and 15.30%, respectively. Among the treatments, Fe3+ was the highest in increasing the basal distance of smectite in the soils.

Page 16 of 82 | Total Record : 817

 14   15   16   17   18 

Filter by Year

2008 2026


Reset
Filter By Issues
All Issue Vol. 31 No. 1: January 2026 (In Progress) Vol 30, No 3: September 2025 (in Progress) Vol. 30 No. 3: September 2025 Vol 30, No 2: May 2025 Vol. 30 No. 2: May 2025 Vol. 30 No. 1: January 2025 Vol 30, No 1: January 2025 Vol. 29 No. 3: September 2024 Vol 29, No 3: September 2024 Vol. 29 No. 2: May 2024 Vol 29, No 2: May 2024 Vol 29, No 1: January 2024 Vol. 29 No. 1: January 2024 Vol 28, No 3: September 2023 Vol. 28 No. 3: September 2023 Vol. 28 No. 2: May 2023 Vol 28, No 2: May 2023 Vol. 28 No. 1: January 2023 Vol 28, No 1: January 2023 Vol 27, No 3: September 2022 Vol. 27 No. 3: September 2022 Vol 27, No 2: May 2022 Vol. 27 No. 2: May 2022 Vol 27, No 1: January 2022 Vol. 27 No. 1: January 2022 Vol. 26 No. 3: September 2021 Vol 26, No 3: September 2021 Vol 26, No 2: May 2021 Vol. 26 No. 2: May 2021 Vol. 26 No. 1: January 2021 Vol 26, No 1: January 2021 Vol. 25 No. 3: September 2020 Vol 25, No 3: September 2020 Vol. 25 No. 2: May 2020 Vol 25, No 2: May 2020 Vol. 25 No. 1: January 2020 Vol 25, No 1: January 2020 Vol 24, No 3: September 2019 Vol. 24 No. 3: September 2019 Vol 24, No 2: May 2019 Vol. 24 No. 2: May 2019 Vol. 24 No. 1: January 2019 Vol 24, No 1: January 2019 Vol. 23 No. 3: September 2018 Vol 23, No 3: September 2018 Vol. 23 No. 2: May 2018 Vol 23, No 2: May 2018 Vol. 23 No. 1: January 2018 Vol 23, No 1: January 2018 Vol 22, No 3: September 2017 Vol. 22 No. 3: September 2017 Vol. 22 No. 2: May 2017 Vol 22, No 2: May 2017 Vol 22, No 1: January 2017 Vol. 22 No. 1: January 2017 Vol 21, No 3: September 2016 Vol. 21 No. 3: September 2016 Vol. 21 No. 2: May 2016 Vol 21, No 2: May 2016 Vol 21, No 1: January 2016 Vol. 21 No. 1: January 2016 Vol. 20 No. 3: September 2015 Vol 20, No 3: September 2015 Vol. 20 No. 2: May 2015 Vol 20, No 2: May 2015 Vol. 20 No. 1: January 2015 Vol 20, No 1: January 2015 Vol. 19 No. 3: September 2014 Vol 19, No 3: September 2014 Vol 19, No 2: May 2014 Vol. 19 No. 2: May 2014 Vol 19, No 1: January 2014 Vol. 19 No. 1: January 2014 Vol 18, No 3: September 2013 Vol. 18 No. 3: September 2013 Vol 18, No 2: May 2013 Vol. 18 No. 2: May 2013 Vol 18, No 1: January 2013 Vol. 18 No. 1: January 2013 Vol. 17 No. 3: September 2012 Vol 17, No 3: September 2012 Vol 17, No 2: May 2012 Vol. 17 No. 2: May 2012 Vol. 17 No. 1: Januari 2012 Vol 17, No 1: Januari 2012 Vol 16, No 3: September 2011 Vol. 16 No. 3: September 2011 Vol. 16 No. 2: May 2011 Vol 16, No 2: May 2011 Vol 16, No 1: January 2011 Vol. 16 No. 1: January 2011 Vol. 15 No. 3: September 2010 Vol 15, No 3: September 2010 Vol. 15 No. 2: May 2010 Vol 15, No 2: May 2010 Vol. 15 No. 1: January 2010 Vol 15, No 1: January 2010 Vol 14, No 3: September 2009 Vol. 14 No. 3: September 2009 Vol. 14 No. 2: May 2009 Vol 14, No 2: May 2009 Vol 14, No 1: January 2009 Vol. 14 No. 1: January 2009 Vol 13, No 3: September 2008 Vol. 13 No. 3: September 2008 Vol 13, No 2: May 2008 Vol. 13 No. 2: May 2008 Vol 13, No 1: January 2008 Vol. 13 No. 1: January 2008 More Issue