Malang Regency has a large area of dry land and currently being developed as a center for food crops, especially corn. Corn production in Malang Regency has not provided high productivity, one of which is in Wagir Regency. This study aims to determine the actual land suitability class, determine the characteristics of the land that affects the productivity of corn, determine the actual productivity class of corn, and develop new land suitability criteria using the boundary line method. This research was conducted in May - September 2019 in Wagir District, Malang, using a physiographic survey method based on the Land Mapping Unit. Soil samples were taken at a depth of 0-120 cm (minipit and drilling) at each observation points (42 points) and analyzed in the laboratory (texture, pH, CEC, C-Organic, BS, N-total, P2O5, Potassium, Ca, Mg, and Na). The determination of land suitability class is carried out using the SPKL (Sistem penilaian kesesuaian lahan) application and the modification of the criteria is carried out using the boundary line method. The results of the land suitability evaluation according to the criteria of Ritung et al. (2011) in Wagir District, Malang Regency, included in class S3 and N, with limiting factors in rainfall, Base Saturation, pH, C-Organic, N-total, P2O5, Potassium, slope and erosion hazard. Stepwise analysis result showed that slope and air temperature determined corn productivity in research area. Boundary lines analysis gave results that modified suitability classified as S3 and N which is the same category as actual suitability classes.
Pandansari village, Ngantang District was severely affected by Mt. Kelud eruption in 2014. Almost all soil surfaces were covered by the eruption product, leading to serious problems for cultivation. Pyroclastic materials potentially have high content of nutrients, but they are not readily available to plants. As an attempt to improve chemical properties of the pyroclastic materials, we applied locally available organic matters, from four different sources, i.e. leaves of sweet potatoes, Tithonia diversifolia, maize, and cow manure. The pyroclastic materials were sieved at 2 mm, placed inside pots (50 x 50 x 50 cm 3), until it reached 30 cm thick. The fresh leaves were chopped into 2 mm size and mixed with the pyroclastic materials at the dosage of 15 Mg/ha. They were incubated and kept at field condition. Selected chemical properties (pH, CEC, sum of basic cations, and the total contents of N, organic C, and available P) were measured before and after 90 days incubation. The results showed that after 90 days, organic matter application significantly increased pH, cation exchange capacity, organic C, and total exchangeable basic cations content. The increases of P-available and total N contents were only detected on cow manure treated materials.
Limestone materials in Wonosari formation produces karst landform through the karstification processes. The different type of karst landform can affect soil morphology and soil classification. This research was conducted in Gedangan District, Malang Regency, East Java Province, Indonesia. Soil morphology identified at 54 minipits to know the range of soil characteristics, continued with detailed survey on 6 typical pedons to detailed soil classification. Soil samples were taken at each horizon for analyses of soil physical and chemical properties. Soil morphology at study area has very dark brown (7.5YR2.5/2) to yellowish brown (10YR5/8) soil colours, silty clay loam to silty clay textures, subangular blocky, fine, weak to moderate structures, very friable to very firm, sticky to very sticky, slightly plastic to plastic consistencies. There are no rock fragments at hilly and valley karst and shallow soil depth in hilly than in valley karst. Soil classification differs at each sub landform, i.e. top hilly karst is classified as Lithic hapludolls,
Karst landform has different soil properties than the others land which are high clay content, low water holding capacity, relatively low nutrient availability, and in some areas it has a shallow soil that can impact the suitability of sugarcane productivity. It is necessary to analyze the suitability classes of sugarcane on karst landform based on productivity and make the criteria of sugarcane on karst landform. Research was conducted in Gedangan District, Malang Regency, East Java Province, Indonesia with survey method (13 land map unit) with 38 minipits and 8 soil profil as typical pedon. The modification using boundary line method by multiple regression with stepwise method which has a value of R² 0,5 and percentage production class. Land suitability at study area before modification has class S3 (Marginally Suitable) and N (Not Suitable). Boundary line method results land characteristics that significantly correlate with production (organic carbon, total N, available P, exchangeable K, soil depth and slope). The boundary line method results class S2 (Moderately Suitable), S3 and N with accuration 75%. The modification with percentage production class was done (organic carbon, total N, exchangeable K, and slope) and results class S1(Highly Suitable), S2, S3, and N with accuration 91%.
Each land use has a different vegetation density and the litter input as a source of soil organic matter. Vegetation density index can be analyzed based on the NDVI equation using the GIS approach. This study aims to determine the effect of different land uses and NDVI on soil organic matter content and the mapping of soil organic matter content. This research was conducted from April to August 2019 in Turen District, Malang Regency. The survey method used for collecting data in the field (36 observation points) based on differences in landform, relief, slope, land use (irrigated and rainfed rice fields), and vegetation density index classes (low, medium, high). Soil samples were taken at 0-20 cm depth and analyzed for soil organic matter content. Data interpolation using IDW was used for mapping soil organic matter. The results showed that there was a very significant effect between differences in land use and NDVI class on the content of soil organic matter (p <0.001). NDVI value gives an effect of 81.5% on soil organic matter content. The distribution of soil organic matter content is classified into 5 classes, which are very low, low, moderate, high and very high.
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