scholarly journals Factors Determining the Characteristics of Cocoa Soil in Sulawesi

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Erwin Prastowo ◽  
John Bako Baon
Keyword(s):  
Soil Ph ◽  
Soil Texture ◽  
Soil Analysis ◽  
Principal Component ◽  
Soil Characteristics ◽  
Parent Material ◽  
Soil Survey ◽  
South Sulawesi ◽  
Almost All ◽  
Material Factor

Sulawesi exhibits unique land characteristics as a result of complex geological and geomorphological processes. The information related to what extent of theseprocesses affect regional soil characteristics is still limited. An investigation was performed on cocoa farms from three major cocoa producers, i.e. South Sulawesi, Central Sulawesi, and Southeast Sulawesi. A research was done to point out the key variables contributing to cocoa soil characteristics. Soil survey was performed based on available local information to collect top soil composite samples, i.e. 0–30 cm depth, in the circle of cocoa stand within 50–75 cm radius. A routine soil analysis was done to evaluate soil texture, organic carbon (C), total nitrogen, K, Ca, Mg, soil pH (H2O), and some micronutrients, i.e. Fe, Cu, and Zn. To simplify the complexity, the multivariate data was submitted into principal component analysis (PCA). Additional mapping of soil variable gradient through inverse distance weighting (IDW) interpolation was included in the analysis to improve our interpretations. Data show that the variability for almost all investigated variables is high with coefficient of variation (CV) of up to about 118% for Fe. While low variability with CV about 10% was observed for soil pH (H2O). The PCA demonstrates that the first five principal components (PCs) account for 56.89% of variance in the original variables. Two factors to be considered to explain the variation in the PCs was soil texture and parent material. Further analyses exhibit an association of sand, silt, and clay fractions to Southeast, Central, and South Sulawesi. Mineral compositions, such as K, Ca, Mg, Fe, and Zn, exhibit an important contribution to the parent material factor as they define the variability in the PCs. Additionally, the analysis of gradient maps may indicate the two physical environmental conditions, i.e. landform and geological setting, contribute to the specific characteristics of cocoa soil.

Soil diversity influences on oil palm productivity in ultramafic ecosystems, Southeast Sulawesi, Indonesia

2020 ◽  
Vol 21 (11) ◽  
Author(s):  
SYAMSU ALAM ◽  
Benito Heru Purwanto ◽  
EKO HANUDIN ◽  
EKA TARWACA SUSILA PUTRA
Keyword(s):  
Soil Texture ◽  
Oil Palm ◽  
Environmental Gradient ◽  
Soil Characteristics ◽  
Soil Survey ◽  
Fresh Weight ◽  
Soil Diversity ◽  
Agriculture Management ◽  
The Relationship ◽  
Lower Slope

Abstract. Alam S, Purwanto BH, Hanudin E, Putra ETS. 2020. Soil diversity influences oil palm productivity in ultramafic ecosystems, Southeast Sulawesi, Indonesia. Biodiversitas 21: 5521-5530. Ultramafic is a unique ecosystem with an environmental gradient due to its high soil diversity. Understanding soil diversity in ultramafic ecosystems is fundamentally required to support sustainable agriculture management, particularly in oil palm plantation. This study investigated the relationship between soil diversity and productivity of oil palm in ultramafic ecosystems, Southeast Sulawesi. The soil survey has taken in Oheo, Langgikima, and Routa districts. Soil sample was collected from various toposequence, including upper, middle, and lower slope to describe soil properties, including soil texture, pH, CEC, SOC, TN, Av-P, Exc-K, Exc-Ca, and Exc-Mg. Whilst observation of oil palm productivity was done by recording the fresh-weight of fruit yield in hectare unit during a month. The results showed that the soil characteristics from the three sites were significantly different in soil texture, pH, CEC, Av-P, Exc-Ca, and Exc-Mg. A similar trend was also recorded in oil palm productivity wherein the highest oil palm productivity was discovered in Oheo (556.41+96.26 kg ha-1), followed by Langgikima (501.11+54.84 kg ha-1) and Routa (163.19+17.55 kg ha-1). Our study founded: pH, CEC, Av-P, Exc-K, Exc-Ca, and Exc-Mg significantly affected the productivity of oil palm. Based on these results, the soil diversity highly affected oil palm productivity in ultramafic ecosystems.

scholarly journals The effect of sulphur and lime dosage application on grain yield of hybrid maize

2021 ◽  
Vol 911 (1) ◽  
pp. 012036
Author(s):  
F. Tabri ◽  
Syafruddin ◽  
M. Aqil ◽  
Herawati
Keyword(s):  
Grain Yield ◽  
Soil Ph ◽  
Soil Analysis ◽  
Group Design ◽  
South Sulawesi ◽  
Fertilizer Recommendations ◽  
Split Plot ◽  
Hybrid Maize

Abstract The preparation of the Method for Determining Fertilizer S Recommendations for Maize based on Soil Analysis and Yield has been carried out at the Bontobili Installation, Gowa Regency, South Sulawesi, from February 2020 to May 2020. The purpose of this experiment is to find out S fertilizer recommendations based on soil analysis. The pH of the study site was <6.5, and to make a difference in soil pH, it was incubated with lime 2 t/ha to raise the pH to neutral and 4 t/ha to obtain a pH >7.5. For each soil pH condition treatment was made using a split plot group design. The main plots were given agricultural lime at a rate of 0, 200kg/ha, 400 kg/ha and 600 kg/ha.. While the sub-plots were fertilized with S, namely: 0.20,40,60,80, kg S with 3 (three) replications. All treatments will be fertilized with N and P based on soil analysis. The highest yield was obtained with lime and S fertilizer at the dose of K3S60 (600 kg/ha lime and 60 t/ha S fertilizer) showing the highest yield of 10.81 t/ha and not significantly different from the K3S80 treatment (600 t/ha lime). and fertilizer S 80 kg/ha) which is 10.64 t/ha.

scholarly journals Penyuluhan Kesuburan Tanah, Pupuk Organik serta Hama dan Penyakit Tanaman bagi Kelompok Tani Baranuri

2021 ◽  
Vol 5 (2) ◽  
pp. 168
Author(s):  
Charly Mutiara ◽  
Yustina M.S.W Puu ◽  
Donatus Rendo ◽  
Josina I.B Hutubessy
Keyword(s):  
Soil Fertility ◽  
Soil Ph ◽  
Soil Analysis ◽  
Organic Fertilizer ◽  
Soil Survey ◽  
Plant Diseases ◽  
Organic Fertilizers ◽  
Organic C ◽  
Pests And Diseases ◽  
Service Activity

<p><em><strong>Counseling of Soil Fertility, Organic Fertilizers, Pests and Plant Diseases for Baranuri Farmers Group</strong>. </em>The Baranuri Farmers Group (KT. Baranuri) is one of the providers of vegetables for the people of Ende City. The results of interviews with farmers obtained several problems, namely, there is no data on soil fertility and lack of understanding of soil fertility, organic fertilizers, pests and plant diseases. The solution given is to analyze soil pH and organic-C to be used as a reference for soil fertility conditions as well as counseling about soil fertility, organic fertilizers, pests and plant diseases. This service activity aims to provide information on soil fertility, increase farmers' knowledge regarding soil fertility, organic fertilizers and plant pests and diseases. The counseling method used is a group approach. Purposive soil sampling, samples were taken diagonally. The organic-C content was analyzed in the laboratory by Walkley and Black method, while soil pH was measured directly on the field using 4 in 1 Soil Survey Instrument and then matching with the criteria of assessment of soil analysis results by the Indonesian Soil Research Institute. The results obtained were the soil pH was 4-5 (very acidic-acidic) and soil organic C was 2.03-2.37% (moderate). The extension activities were succeeded in increasing public knowledge from 46.7% to 86.7% (an increase of 85.7%). The recommendation from this activity is to create a demonstration field to apply an organic fertilizer that can be observed directly by farmer groups.</p>

scholarly journals Texture and Chemical Properties of Two Depth Soils in a Toposequence of Anak Krakatau Before December 2018 Eruption

2020 ◽  
Vol 25 (2) ◽  
pp. 71
Author(s):  
Astriana Rahmi Setiawati ◽  
Jamalam Lumbanraja ◽  
Septi Nurul Aini ◽  
Dermiyati Dermiyati ◽  
Henrie Buchari ◽  
...  
Keyword(s):  
Soil Ph ◽  
Soil Analysis ◽  
Chemical Properties ◽  
Exchange Capacity ◽  
Soil Survey ◽  
Present Information ◽  
Different Depths ◽  
Krakatau Volcano ◽  
Physical And Chemical ◽  
And Chemical Properties

Anak Krakatau volcano is one of the famous volcanic mountains located in the sea to the south part of the Province of Lampung, Indonesia. The volcano was derived from the active Krakatau caldera that first appeared on the surface in 1930 or 47 years after the eruption of Krakatau in 1883. The materials produced by the Anak Krakatau eruption were very interesting related to soil forming materials, especially their physical and chemical properties. The objectives of this study were to present information about the texture and chemical properties of soil from Anak Krakatau Mountain taken at the southeast slope before the December 2018 eruption at two different depths. This study was conducted in March to September 2019 which consisted of two parts: (1) soil survey in the field and (2) soil analysis in the laboratory. Soil samples were taken from a toposequence at seven points with an interval about 15m above sea level (asl) on the southeast slope (approaching northeast) of the Anak Krakatau in July 2018 at the depth of 0-20 cm and 20-40 cm. The soil texture of Anak Krakatau mountain before eruption in December 2018 was sandy with the percentage of sand 98.82 - 99.59%; silt 0 - 0.59%; and clay 0.41 - 0.74%. The soil chemical properties of Anak Krakatau mountain were soil pH (H2O) 4.95 – 6.27; soil pH (KCl) 4.75 – 5.89; Cation Exchange Capacity 0.41 – 2.02 cmol(+) kg-1; Base Saturation 117.24 – 514.63%; CaO 2.63 – 6.34%; MgO 3.06 – 6.13%; K2O 0.019 – 0.034%; Na2O 0.035 – 0.080%; P-retention 82.10 – 84.74%; and organic carbon 0.06 – 0.72%. The SEM-EDX analysis showed that the amounts of Mg and Na were more than 1% and there were several trace elements present in Anak Krakatau soil, namely Sb (Stibium), Nb (Niobium), Y (Yttrium), F (Flour), Co (Cobalt), and Ba (Barium).

scholarly journals Electrical Conductivity, pH, Organic Matter and Texture of Selected Soils Around the Qatar University Campus

2020 ◽  
Vol 7 (3) ◽  
pp. 403-409
Author(s):  
Shanon Iffat Alam ◽  
Hadeel Hammoda ◽  
Faiza Khan ◽  
Reem Al Enazi ◽  
Ipek Goktepe
Keyword(s):  
Electrical Conductivity ◽  
Organic Matter ◽  
Plant Growth ◽  
Soil Quality ◽  
Soil Ph ◽  
Soil Texture ◽  
Soil Analysis ◽  
Quantitative Information ◽  
Soil Test ◽  
University Campus

Assessment of soil quality by soil analysis is a valuable tool for a farm as it determines the inputs required for efficient and economical production. A proper soil test helps ensure the application of sufficient fertilizers to meet the requirements of the crop while taking advantage of the nutrients and conditions already present in the soil. Though soil pH, electrical conductivity (EC), organic matter and texture are important features that determine the fertility of the soil, quantitative information on these properties are limited. The objective of the present study was to assess the pH, EC, organic matters and texture of four selected locations around the Qatar University campus including Biology Field (BF), Science Garden (SG), Greenhouse Inside (GHI) and Greenhouse Outside (GHO). We observed significant differences in the pH, EC and organic matter contents among the four locations. The highest pH was observed in SG and lowest in GHI whereas highest EC was observed in GHI and lowest in BF. Highest organic matter was found in GHI and lowest in BF. The soil texture of the BF and SG was sandy clay while that of GHI and GHO was loamy sand. Considering all four parameters analyzed in the present study, the GHI soil was found more suitable for plant growth. Res. Agric., Livest. Fish.7(3): 403-409,  December 2020

LAND USE TYPES AND SOIL CHARACTERISTICTS: A CASE STUDY IN HUONG VINH COMMUNE, HUONG TRA TOWN, THUA THIEN HUE PROVINCE

2017 ◽  
Vol 126 (4B) ◽  
Author(s):  
Trần Thanh Đức
Keyword(s):  
Land Use ◽  
Sweet Potato ◽  
Soil Analysis ◽  
Soil Characteristics ◽  
Low Ph ◽  
Clay Loam ◽  
Total N ◽  
Land Use Types ◽  
Total P

This research carried out in Huong Vinh commune, Huong Tra town, Thua Thien Hue province aimed to identify types of land use and soil characteristics. Results showed that five crops are found in Huong Vinh commune including rice, peanut, sweet potato, cassava and vegetable. There are two major soil orders with four soil suborders classified by FAO in Huong Vinh commune including Fluvisols (Dystric Fluvisols<em>, </em>Gleyic Fluvisols and Cambic Fluvisols) and Arenosols (Haplic Arenosols). The results from soil analysis showed that three soil suborders including Dystric Fluvisols<em>, </em>Gleyic Fluvisols and Cambic Fluvisols belonging to Fluvisols were clay loam in texture, low pH, low in OC, total N, total P<sub>2</sub>O<sub>5</sub> and total K<sub>2</sub>O. Meanwhile, the Haplic Arenosols was loamy sand in texture, poor capacity to hold OC, total N, total P<sub>2</sub>O<sub>5</sub> and total K<sub>2</sub>O

scholarly journals Key soil parameters affecting the survival of Panax notoginseng under continuous cropping

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wumei Xu ◽  
Fengyun Wu ◽  
Haoji Wang ◽  
Linyan Zhao ◽  
Xue Liu ◽  
...  
Keyword(s):  
Soil Ph ◽  
Pearson Correlation ◽  
Principal Component ◽  
Panax Notoginseng ◽  
Soil Parameters ◽  
Continuous Cropping ◽  
Poor Growth ◽  
Available N ◽  
The Poor ◽  
Replant Problem

AbstractNegative plant-soil feedbacks lead to the poor growth of Panax notoginseng (Sanqi), a well-known herb in Asia and has been used worldwide, under continuous cropping. However, the key soil parameters causing the replant problem are still unclear. Here we conducted a field experiment after 5-year continuous cropping. Sanqi seedlings were cultivated in 7 plots (1.5 m × 2 m), which were randomly assigned along a survival gradient. In total, 13 important soil parameters were measured to understand their relationship with Sanqi’s survival. Pearson correlation analysis showed that 6 soil parameters, including phosphatase, urease, cellulase, bacteria/fungi ratio, available N, and pH, were all correlated with Sanqi’s survival rate (P < 0.05). Principal component analysis (PCA) indicated that they explained 61% of the variances based on the first component, with soil pH being closely correlated with other parameters affecting Sanqi’s survival. The optimum pH for Sanqi growth is about 6.5, but the mean soil pH in the study area is 5.27 (4.86–5.68), therefore it is possible to ameliorate the poor growth of Sanqi by increasing soil pH. This study may also help to reduce the replant problem of other crops under continuous cropping since it is widespread in agricultural production.

scholarly journals Soil Nutrient and Vegetation Diversity Patterns of Alpine Wetlands on the Qinghai-Tibetan Plateau

2021 ◽  
Vol 13 (11) ◽  
pp. 6221
Author(s):  
Muyuan Ma ◽  
Yaojun Zhu ◽  
Yuanyun Wei ◽  
Nana Zhao
Keyword(s):  
Species Diversity ◽  
Tibetan Plateau ◽  
Soil Properties ◽  
Soil Ph ◽  
Plant Biomass ◽  
Principal Component ◽  
Vegetation Diversity ◽  
Vegetation Biomass ◽  
Relative Contribution ◽  
The Relationship

To predict the consequences of environmental change on the biodiversity of alpine wetlands, it is necessary to understand the relationship between soil properties and vegetation biodiversity. In this study, we investigated spatial patterns of aboveground vegetation biomass, cover, species diversity, and their relationships with soil properties in the alpine wetlands of the Gannan Tibetan Autonomous Prefecture of on the Qinghai-Tibetan Plateau, China. Furthermore, the relative contribution of soil properties to vegetation biomass, cover, and species diversity were compared using principal component analysis and multiple regression analysis. Generally, the relationship between plant biomass, coverage, diversity, and soil nutrients was linear or unimodal. Soil pH, bulk density and organic carbon were also significantly correlated to plant diversity. The soil attributes differed in their relative contribution to changes in plant productivity and diversity. pH had the highest contribution to vegetation biomass and species richness, while total nitrogen was the highest contributor to vegetation cover and nitrogen–phosphorus ratio (N:P) was the highest contributor to diversity. Both vegetation productivity and diversity were closely related to soil properties, and soil pH and the N:P ratio play particularly important roles in wetland vegetation biomass, cover, and diversity.

X-ray fluorescence spectrometry for rapid screening of particle size in soils

2021 ◽  
Author(s):  
Maame Croffie ◽  
Paul N. Williams ◽  
Owen Fenton ◽  
Anna Fenelon ◽  
Karen Daly
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Soil Texture ◽  
Particle Size Analysis ◽  
Parent Material ◽  
Fluorescence Spectrometry ◽  
Rapid Screening ◽  
Size Analysis ◽  
X Ray

&lt;p&gt;Soil texture is an essential factor for effective land management in agricultural production. Knowledge of soil texture and particle size at field scale can aid with on-going soil management decisions. Standard soil physical and gravimetric methods for particle size analysis are time-consuming and X-ray fluorescence spectrometry (XRF) provides a rapid and cost-effective alternative. The objective of this study was to explore the use of XRF as a predictor for particle size. An extensive archive of Irish soils with particle size and soil texture data was used to select samples for XRF analysis. Regression and correlation analyses on XRF determined results showed that the relationship between Rb and % clay varied with soil type and was dependent on the parent material. There was a strong relationship (R &gt; 0.62, R&lt;sup&gt;2&lt;/sup&gt;&gt;0.30, p&lt;0.05) between Rb and clay for soils originating from bedrock such as limestones and slate. Contrastingly, no significant relationship (R&lt;0.03, R&lt;sup&gt;2&lt;/sup&gt;=0.00, p&gt;0.05) exists between Rb and % clay for soils originating from granite and gneiss. Furthermore, there was a significant negative correlation (p&lt;0.05) between Rb and % sand. The XRF is a useful technique for rough screening of particle size distribution in soils originating from certain parent materials. Thus, this may contribute to the rapid prediction of soil texture based on knowledge of the particle size distribution.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;

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