Sains Tanah - Journal of Soil Science and Agroclimatology
Not a member yet
177 research outputs found
Sort by
Drought characterization: A systematic literature review
Full text linkThis study examined the worsening severity of global droughts caused by climate change. However, the multiple definitions and varied range of drought indices pose challenges in effectively monitoring and assessing the prevalence and severity of droughts. This study aims to give a comprehensive overview of the various drought definitions found in the literature and how they have evolved based on their applications. Specifically, the focus was to shed light on the dynamic nature of drought characterization and offer insights into the factors that shaped its conceptualization over time. Within this context, this study explored three primary categories of drought indices: climatic, remote sensing, and composite. Each category was discussed in relation to its utility in specific fields, such as meteorological, agricultural, and hydrological drought assessments, along with an analysis of their strengths and limitations. Furthermore, this study presents modified meteorological drought indices that have been adapted to better monitor agricultural droughts. Additionally, the authors used geographic information systems to create a map showing the distribution of drought-related publications globally over the past decade. The findings showed that countries with arid and semi-arid climates are more actively involved in drought research, highlighting their particular interest and concern regarding the subject matter. The implications of this study emphasize the urgent need for immediate and coordinated efforts to address the escalating issue of droughts caused by climate change. By improving monitoring and assessment methods and focusing on tailored strategies in vulnerable regions, it is possible to mitigate the far-reaching consequences of drought and to build more resilient communities and ecosystems
Productivity, quality, and nutrient uptake of intensive forage crop rotations based on corn in sandy soil (northern Morocco)
Full text linkIntensive dairy farming systems in the sandy soil of northwestern Morocco are based on three successive forage crops per year, including corn. The aim was to evaluate the productivity and the quality of different intensive crop successions based on corn in sandy soil. Three forage crops per year (winter, spring, and summer cropping seasons) were tested according to six successions: 1. fallow-corn-corn, 2. oat-corn-corn, 3. berseem-corn-corn, 4. pea/triticale-corn-corn, 5. oat-soybean-corn, and 6. berseem-corn-soybean. Each succession of crops was evaluated in two years field experiment using a randomized complete block design. Results revealed that oat-corn-corn and pea/triticale-corn-corn successions produced the highest dry biomass (46.5 t ha-1 year-1). The crop succession of berseem-corn-soybean resulted in the lowest biomass (30.8 t ha-1 year-1). The highest net energy for lactation was recorded at oat-corn-corn and pea/triticale-corn-corn successions (303 103 MJ ha-1 year-1). The crop successions based on one corn (oat-soybean-corn and berseem-corn-soybean) recorded the lowest net energy for lactation (195.5 103 MJ ha-1 year-1). The oat-corn-corn, pea/triticale-corn-corn, and oat-soybean-corn successions recorded the highest crude protein values (3.9 t ha-1 year-1). Soil organic matter and the content of soil on total N, P, and Mg were similar for the different crop successions at the end of the experimental years
Effects of soil amendment from herbal and eucalyptus industrial waste on methane emission and rice yield
Full text linkThe use of chemical fertilizer in rice fields contributes to increased global warming via enhanced emission of methane (CH4) into the atmosphere. Therefore, composting has been proposed to reduce methane emissions in the agricultural field. This study aimed to determine the CH4 emission and rice yield affected by compost from three different types of compost: herbal compost, eucalyptus compost, and manure compost. This randomized block design study was conducted from November 2019 to May 2020. There were 8 fertilizer treatments applied to the rice fields, namely: herbal compost 10 tons/ha. (O1), eucalyptus compost 10 tons/ha (O2), manure compost 10 tons/ha (O3), no compost no chemical fertilizer (as a control) (O4), herbal compost 5 tons/ha + chemical fertilizer/CF (C1), eucalyptus compost 5 tons/ha + CF (C2), manure compost 5 tons/ha + CF (C3), and only chemical fertilizer (C4), then all treatments replicated three times. For the chemical fertilizer (CF) the dose is 166 kg/ha urea + 166 kg/ha ZA + 330 kg/ha TSP. The result indicated that the compost manure 10 tons/ha (O3) and the combination compost manure 5 tons/ha + CF (C3) produced the highest rice yields (6.89 -6.94 tons/ha) but impacted the highest methane emissions (505.3 – 544.6 Kg.CH4 /ha/season). The important finding showed that among all the treatments, a combination of compost eucalyptus 5 tons/ha + CF (C2) and compost eucalyptus 10 tons/ha (O2) mitigated methane emission to the lowest level (296.6 -305.2 Kg.CH4/ha/season) and gave high rice yields (6.77-6.78 tons/ha) that were not significantly different from those of compost manure (O3 and C3). In addition, the combination of compost herbal 5 tons/ha and chemical fertilizer (C1) affected the lower methane emissions than manure compost and gave a high level of grain yield that was not significantly different from those of manure compost (O3 and C3) and eucalyptus compost (O2 and C2).
Identification and pesticide degradation test of bacterial consortium of contaminated soil
Full text linkExcessive use of pesticides in the process of cultivating shallots results in contamination of the soil. Indigenous bacteria in soil that contaminated with the chlorpyrifos pesticide suspected could used as bioremediation agent of soil contaminated with chlorpyrifos pesticide. The purpose of this study was to identify and obtain a consortium of bacteria capable in degrading pesticides on shallot fields contaminated with the pesticide chlorpyrifos. The method used in this research is the bacteria isolation using soil extract, morphological identification, molecullar identification using Next Generation Sequencing (NGS), analysis of bacterial diversity index and consortium bacterial degradation test in order to reduce levels of the chlorpyrifos pesticide. The results of this study found 16 isolates of bacteria at each study site that were resistant to 100ppm of the pesticide chlorpyrifos so that these isolates were chosen to be used as a consortium of bacteria. Molecular identification of the bacterial consortium showed that there were 10 genera consisting of Cutibacterium, Streptomyces, Staphylococcus, Ensifer, Ochrobactrum, Achromobacter, Escherichia shigella, Klebsiella, Acinetobacter, and Pseudomonas. The bacterial diversity index in shallot soils reached 2,040 and 1,467 on forest soils The reduction efficiency of the bacterial consortium using the method of growing cells and supernatant were 94.48% and 98.88%, respectively
Characteristics and utilization of black soils in Indonesia
Full text linkBlack soils store a high amount of soil organic carbon (SOC) and play a crucial role in climate change, food security, and land degradation neutrality. However, data and information regarding black soils in tropical regions, including Indonesia, are limited. This study aimed to characterize and identify the utilization of black soils in Indonesia based on legacy soil survey data. We collated 142 soil pedon samples of Mollisols from articles, technical reports, and existing datasets. The site information (site position, elevation, land use type, parent material) and selected physicochemical properties were stored in a spreadsheet, from which exploratory data analysis was conducted. The result showed that the median SOC content was 1.53%, ranging from 0.6 to 8.2 %; cation exchange capacity was 30 cmol kg-1, ranging from 9 to 95 cmol kg-1; base saturation was 87%, ranging from 11 to 100 %; and bulk density was 1.21 g cm-3, ranging from 1.13 to 1.36 g cm-3. Other soil characteristics (particle size distribution, exchangeable bases, pH, pore, and water retention) varied with horizon type and land use/land cover. The black soils have been used for paddy fields, dryland farming, and gardens with low management intensity. Main cultivated crops include rice (Oryza sativa), corn (Zea mays), cassava (Manihot esculenta), sweet potato (Ipomoea batatas), and nutmeg (Myristica fragrans), clove (Syzygium aromaticum), coconut (Cocos nucifera), and cocoa (Theobroma cocoa). Threats to black soil functions include soil erosion, carbon loss, and nutrient imbalance. Soil and water conservation measures, integrated soil nutrient management, and agroforestry are among the best land management practices for black soils
Modeling the responses of Coffee (Coffea arabica L.) distribution to current and future climate change in Jimma Zone, Ethiopia
Full text linkCoffee arabica species have already been affected by climate change, with socioeconomic implications. Smallholder farmers have encountered and will continue to confront issues in maintaining their coffee plants' productivity. This study aimed to determine which bio-climatic characteristics are most beneficial to coffee production in current and future climate change scenarios. The responses of coffee distribution to climatic conditions were studied under the current, moderate representative concentration (RCP4.5), and worst representative concentration (RCP8.5) pathways using a bioclimatic modelling approach or the Maxent model. Multiple regression models (path and response optimizers) were used to parameterize and optimize the logistic outputs of plant distribution. Results showed that climatic factors such as total precipitation, precipitation seasonality, and mean temperature are the most important climatic factors in determining the success of C. arabica farming. Under the current conditions, total precipitation significantly benefits C. arabica whereas precipitation seasonality significantly affects it (P < 0.001). In the current condition, coffee responded neither negatively nor positively to the mean temperature, but positively in RCP4.5 and RCP8.5. It would also respond positively to increased total precipitation under RCP4.5 but negatively to rising precipitation under the RCP8.5. The average five top-optimal multiple responses of C. arabica were 75.8, 77, and 70% for the present, RCP4.5, and RCP8.5, respectively. The positive response of C. arabica to bioclimatic variables in the RCP4.5 scenario is projected to be much bigger than in the present and RCP4.5 scenarios (P < 0.001). As precipitation and temperature-related variables increase, the cultivation of C. arabica will increase by 1.2% under RCP4.5 but decrease by 5.6% under RCP8.5. A limited number of models and environmental factors were used in this study, suggesting that intensive research into other environmental aspects is needed using different models
Metal Extractability Changes in Soils Under Thorny Amaranth
Full text linkThe different forms of heavy metals may be significantly extracted from soils by plant roots. In a glasshouse experiment, the shifting of soil heavy metal forms under thorny amaranth was examined. To accomplish the research goal, thorny amaranth was planted for four weeks at field water content in soils with varying Cu and Zn contents. Copper and Zn levels in the soil were measured both before and after planting. High soil Cu and Zn levels reduced this plant's height and dry biomasses. Thorny amaranth considerably reduced the exchangeable and available Cu and Zn in the soil. The soil exchangeable and available Cu and Zn had a good correlation with the plant uptakes of these elements. Copper and Zn reductions by planting significantly lower than the available Cu and Zn. A significant portion of the soil exchangeable Cu and Zn shifted to stronger bonding during the incubation time. It was demonstrated that plants absorbed more Cu and Zn from forms different than the soil-exchangeable forms
Yield and water productivity variation of Boro rice with irrigation strategies and transplanting dates under climate change – a case study in south-western Bangladesh
Full text linkClimate change has imposed major uncertainties on food and water security in Bangladesh. Understanding the recent changes in potential yield and water productivity of major crops is essential to formulate effective adaptation strategies under climate change conditions. This study assessed the yield and water productivity variation of dry season Boro rice with different irrigation regimes and transplanting dates over long-term (1985-2017) in a south-western District (Khulna) of Bangladesh using AquaCrop model. The evaluation of yield and water productivity was done for five transplanting dates (1st & 15th of December and January and 1st of February) and four irrigation strategies (fixed short- and long-interval irrigations, and measured irrigation with ‘low stress, low dose’ and ‘high stress, high dose’). Transplanting rice seedlings on 1st December results in 17% yield increase compared to transplanting on 1st January. There are significant (p£0.05) increasing trends of attainable biomass, grain yield and water productivity of Boro rice. The measured irrigation practices are superior to the traditional fixed irrigation practices. The ‘low stress, low dose’ irrigation strategy increases irrigation-water productivity and provides an opportunity to exploit the possible benefits of climate change. Adjustment of the irrigation strategy can reduce water usage without reducing the potential yield of Boro rice with an eventual increase in irrigation-water productivity, while adjustment of the transplanting date can increase potential yield with additional water usage. These findings would help develop suitable agricultural adaptation strategies for irrigated rice cultivation under climate change
Approaches to the development of environmental standards for the content of petroleum hydrocarbons and Pb, Cr, Cu, Ni in soils of Greatest Caucasus
Full text linkThe development of tourism and leisure infrastructure results in a continuous increase of anthropogenic impact on soils of wet and dry subtropics of the Greatest Caucasus. It is very important for the region to preserve the sustainable functions of soils and ecosystems, maintain a comfortable life and recreation environment create environmentally friendly agricultural products. It is conducted studies to determine the limits of resistance of soils in wet and dry sub-tropics to priority pollutants, especially petroleum hydrocarbons and heavy metals (Pb, Cr, Cu, Ni). It was found that the soils of wet and dry subtropics for resistance by Pb, Cr, Cu, and Ni are located as follows: south-ern chernozem > typical sod-carbonate soil ≥ brown typical soil ≥ brown carbonate soil = brown leached soil ≥ leached sod-carbonate soil = yellow soil >acid brown forest soil ≥ acid brown forest podzolized soil. In terms of the degree of resistance to oil pollution, studied soils create certain series: brown carbonate ≥ brown typical = sod-carbonate leached ≥ sod-carbonate typical > southern chernozem ≥ yellow soil ≥ brown leached soil > acid brown forest soil = acid brown forest podzolized soil. Heavy metals by ecotoxicity to the soils of wet and dry subtropics from the following series: Cr> Cu ≥ Ni = Pb. Based on the degradation of ecological functions of soils, we offer regional standards of the maximum permissible content of Pb, Cr, Cu, and Ni for the main soils of wet and dry subtropics
Land suitability assessment for agricultural crops in Enrekang, Indonesia: combination of principal component analysis and fuzzy methods
Full text linkLand suitability assessment is essential for the efficient use of diminishing fertile agricultural land. Assessment parameters include soil texture, pH, the sum of basic cations, base saturation, cation exchange capacity, organic carbon, soil depth, slope, and mean annual temperature and precipitation data. Results showed that 76.28% and 23.26% of the total area were optimally and moderately suitable for coffee growth, respectively; 9.6% and 90% were optimally and moderately suitable for cocoa growth, respectively; 1.98%, 78.74%, and 19.26% were optimally, moderately, and marginally suitable for clove growth, respectively; and 6.68%, 86.89%, and 6.41% was optimally, moderately, and marginally suitable for pepper growth, respectively. The final land suitability index (LSI) was strongly influenced by the threshold values used by the researcher and the quality of the land indicator itself. Plant threshold values differed due to variations in plant recruitment. The main limiting factors were mean annual temperature <26°C, acidic soil pH, and low CEC. This study showed that the fuzzy method is ideal for converting the numerical data of various magnitudes into membership function values and representing land suitability. The principal component analysis is an effective method to determine the weights of multiple factors in a systematic and objective manner. The linearity test found a correlation between LSI and production with f = 0.00, indicating that the applied model can predict agricultural production and is applicable to other agricultural land management