Study of Potassium and Sodium content of Mahad-Raigad Tertiary Soil by Flame Photometry

The present study is devoted to determine the content of K, Na, pH of soil samples collected from Mahad tehsil territory. Elements leached from the deposits of the fertilizers have been accumulated in soil, thus constituting to soil pollution index. Focusing this study was carried out to compare out the nutrient contents of barren soil and Rice field soil in Mahad tehsil tertiary, by Flame photometry analysis.

Penilaian Status Kesuburan dan Pengelolaan Tanah Sawah Tadah Hujan di Desa Umbu Pabal Selatan, Kecamatan Umbu Ratu Nggay Barat

The rain-fed rice fields in Umbu Pabal Selatan Village are agricultural land that is always cultivated every year to meet the food needs of the villagers. Soil fertility is a piece of important information in managing rice fields to increase rice production. This study aims to evaluate the status of soil properties, soil fertility, and the direction of management of rain-sized rice fields in the village. The method used was descriptive exploration surveys with soil samples taken deliberately. Laboratory test results showed that soil pH is classified as acidic, N-total is medium, P-available is low, K-available is very high, cation exchange capacity is high, and C-organic is high. Fertility status is low (96.9 ha), moderate (194.6 ha), and high (160.3 ha). Management direction in improving fertility and nutrient deficiency is by fertilizing and water-logging. Keywords: rain-fed rice field, soil fertility, South Umbu Pabal Village

Methylotenera oryzisoli sp. nov., a lanthanide-dependent methylotrophic bacteria isolated from rice field soil

A new lanthanide (Ln3+)-dependent methanol-utilizing bacterial strain, La3113T, was isolated from rice field soil and its taxonomic position was investigated using polyphasic approaches. The strain was aerobic, Gram-stain-negative, strongly motile, catalase-positive and cytochrome oxidase-positive. It could neither catalyse the hydrolysis of urea nor reduce nitrate to nitrite. Growth was observed within a temperature range of 10–40 °C and a pH range of 6–8, with optimum growth at 28 °C and pH 7. Methylamine was utilized as the single source of energy, carbon and nitrogen, and it was oxidized by methylamine dehydrogenase. C16 : 1 ω7c, C16 : 1 ω6c and C16 : 0 were the dominant cellular fatty acids. Its draft genome (2.67 Mbp and 44.9 mol% G+C content) encodes genes including three Ln3+-dependent methanol dehydrogenase (XoxF-type MDH) genes, those for formaldehyde assimilation (ribulose monophosphate pathway), formate dehydrogenases and methylamine dehydrogenases, but not Ca2+-dependent MDH (MxaFI-MDH), which characterizes the species as a Ln3+-dependent methylotroph. The 16S rRNA gene sequence showed that strain La3113T belongs to the genus Methylotenera and is closely related to Methylotenera mobilis JLW8T (98.29 % identity). The digital DNA–DNA hybridization (dDDH) values (less than 30 %) and average nucleotide identity (ANI) values (less than 85 %) between genomes of strain La3113T and related type strains were lower than the thresholds for species delineation (70 % for dDDH and 95–96 % for ANI). On the basis of these polyphasic approaches, we propose a novel Methylotenera species, Methylotenera oryzisoli sp. nov. (type strain La3113T=NBRC 111954T=DSM 103219T).

Draft Genome Sequence of Microbacterium oryzae Strain MB-10, Isolated from a Rice Field in India

We report the draft genome sequence of Microbacterium oryzae strain MB-10T, which was isolated from rice field soil. The genome is 3.04 Mb, with a G+C content of 71.10%, and encodes 2,727 proteins. The genome sequence provides further information about strain MB-10T and the genus Microbacterium.

Methods for Determining Nitrogen, Phosphorus, and Potassium (NPK) Nutrient Content Using Features from Accelerated Segment Test (FAST)

Nutrient Content NPK is macro nutrient content that important for the growth of a plant. The measurement of NPK conducted periodically, but the measurement using laboratories test need relatively long time. This Research is conducted to determine the nutrient content of the soil, consisted of nitrogen, phosphor, and calcium (NPK) using digital image processing based on Features from Accelerated Segment Test (FAST) and backpropagation artificial neural network. The data sample in this research taken from the rice field soil in Daerah Istimewa Yogyakarta province where the soil taken at the length of 30 cm to 110 cm with l20 cm interval, and -30° to 30° degree with interval 10°. The model from this measurement system based on texture’s characteristic that extracted using Scale Invariant Feature Transform from soil’s image that already passed pre-processing process. The characteristic result will be the input from the artificial neural network with a variation on parameter’s model. The model tested for the purpose of knowing the influence the distance and degree where the image taken and the influence of parameter’s artificial neural network. The result from the research, is a accurate value of the measurement for each nutrient in the soil, nitrogen (94.86%), phosphor (58.93%) and calcium (63.57%), with the mean 72,46%. The corresponding result obtained from image taken with optimal height of 70 cm and degree 0o

Environmental Soil, Water, and Sediment Quality of Dong Thang Landfill in Can Tho City, Vietnam

This study is a preliminary assessment of water, soil, and bottom sediment quality at and around Dong Thang landfill in Co Do district, Can Tho city, Vietnam. Four canal water samples, one leachate sample, and three soil samples from the surrounding rice fields, two bottom sediment samples from the canals, and one bottom sediment sample from the leachate pond were examined for this purpose. The results revealed that the leachate sample contained six heavy metals (Mn, Fe, Cu, Zn, Cr, and Ni) with high electrical conductivity (EC), biochemical oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), ammonia (NH4+-N), nitrate (NO3--N), and phosphate (PO43--P) (9922.7 μS cm-1, 832.00 mg L-1, 3,729.08 mg L-1, 743.75 mg L-1, 366.27 mg L-1, 6.03 mg L-1, and 0.22 mg L-1, respectively). Further, seven heavy metals (Zn, Cu, Mn, Cr, Ni, Pb, and Fe) were detected in the sediment of the leachate collection pond. COD, TSS, NH4+-N, Mn, and Fe concentrationsfor surface water exceeded the permissible level prescribed by the Vietnam national standard for surface water (QCVN 08-MT:2015/BTNMT). All heavy metals found in the leachate sediments were also detected in canal sediments and rice-field soil, thereby leading to the conclusion that pollutants disperse into the surrounding environment. Further, principal component analysis revealed that 91.3% of the variations in soil and sediment data could be explained by two primary components, PC1 and PC2. These components represent two sources of pollution, agricultural production and landfill activities, besides other pollution sources. The findings of this preliminary study show that water, soil, and bottom sediment in the area surrounding the landfill are contaminated with organic matter, nutrients, and heavy metals. Therefore, monitoring of the environment in the study area should be conducted to detect any pollutants, and alert local authorities and environmental managers.