scholarly journals Some correlations between the occurrence frequency of keratinophilic fungi and selected soil properties

2014 ◽  
Vol 37 (1-2) ◽  
pp. 101-116 ◽  
Author(s):  
Teresa Korniłłowicz-Kowalska ◽  
Justyna Bohacz
Keyword(s):  
Soil Properties ◽  
Soil Ph ◽  
Ecological Factors ◽  
Keratinophilic Fungi ◽  
Occurrence Frequency ◽  
Frequency Of Occurrence ◽  
Geophilic Dermatophytes

The results of studies on the correlation between the occurrence frequency of keratinophilic fungi, including geophilic dermatophytes and chrysosporium, and soil properties are presented and discussed in the article. The fraction with 0 < 0.02 mm content and the soil pH were the most significant ecological factors that determined the frequency of occurrence and the distribution of these fungi in the soil

Action of griseofulvin on geophilic dermatophytes and related keratinophilic fungi

1964 ◽  
Vol 22 (2) ◽  
pp. 141-152 ◽  
Author(s):  
R. S. Sandhu ◽  
H. S. Randhawa
Keyword(s):  
Keratinophilic Fungi ◽  
Geophilic Dermatophytes

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.

Statistics of pulsating auroras on the basis of all-sky TV data from five stations. I. Occurrence frequency

1981 ◽  
Vol 59 (8) ◽  
pp. 1150-1157 ◽  
Author(s):  
T. Oguti ◽  
S. Kokubun ◽  
K. Hayashi ◽  
K. Tsuruda ◽  
S. Machida ◽  
...  
Keyword(s):  
Local Time ◽  
Cold Plasma ◽  
Geomagnetic Latitude ◽  
Auroral Oval ◽  
Magnetic Activity ◽  
Occurrence Frequency ◽  
Frequency Of Occurrence ◽  
Occurrence Probability ◽  
Energetic Electrons ◽  
Plasma Irregularities

The frequency of occurrence of pulsating auroras is statistically examined on the basis of all-sky TV data for 34 nights from five stations, in a range from 61.5 to 74.3° in geomagnetic latitude. The results are that: (1) occurrence probability of a pulsating aurora is 100% after 4 h in geomagnetic local time, (2) pulsating auroras occur in the morning hours along the auroral oval even when magnetic activity is as small as 0o ≤ Kp ≤ 1, (3) pulsating auroras occur even in the evening when Kp increases to greater than 3−, (4) drift of pulsating auroras is westward in the evening while it is eastward in the morning hours, (5) the region of pulsating auroras splits into two zones, 64 to 68° and 61 to 63° in geomagnetic latitude, after 4 h geomagnetic local time for Kp from 2o to 3−, and the splitting also appears to exist for greater Kp as evidenced by observation other than our auroral data. These results are discussed in relation to distributions of cold plasma irregularities and energetic electrons in the magnetosphere.

scholarly journals Spatial variability and mapping of soil fertility status in a high-potential smallholder farming area under sub-humid conditions in Zimbabwe

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Gabriel Soropa ◽  
Olton M. Mbisva ◽  
Justice Nyamangara ◽  
Ermson Z. Nyakatawa ◽  
Newton Nyapwere ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Soil Properties ◽  
Soil Ph ◽  
Strong Evidence ◽  
Spatial Dependence ◽  
Random Component ◽  
Smallholder Farming ◽  
Mineral N ◽  
Spatial Trend ◽  
Spatial Trends

AbstractA study was conducted to examine spatial variability of soil properties related to fertility in maize fields across varying soil types in ward 10 of Hurungwe district, Zimbabwe; a smallholder farming area with sub-humid conditions and high yield potential. Purposively collected and geo-referenced soil samples were analyzed for texture, pH, soil organic carbon (OC), mineral N, bicarbonate P, and exchangeable K. Linear mixed model was used to analyze spatial variation of the data. The model allowed prediction of soil properties at unsampled sites by the empirical best linear unbiased predictor (EBLUP). Evidence for spatial dependence in the random component of the model was evaluated by calculating Akaike’s information criterion. Soil pH ranged from 4.0 to 6.9 and showed a strong spatial trend increasing from north to south, strong evidence for a difference between the home and outfields with homefields significantly higher and between soil textural classes with the sand clay loam fraction generally higher. Soil OC ranged from 0.2 to 2.02% and showed no spatial trend, but there was strong evidence for a difference between home and outfields, with mean soil OC in homefields significantly larger, and between soil textural classes, with soil OC largest in the sandy clay loams. Both soil pH and OC showed evidence for spatial dependence in the random effect, providing a basis for spatial prediction by the EBLUP, which was presented as a map. There were significant spatial trends in mineral N, available P and exchangeable K, all increasing from north to south; significant differences between homefields and outfields (larger concentrations in homefields), and differences between the soil textural classes with larger concentrations in the sandy clay loams. However, there was no evidence for spatial dependence in the random component, so no attempt was made to map these variables. These results show how management (home fields vs outfields), basic soil properties (texture) and other factors emerging as spatial trends influence key soil properties that determine soil fertility in these conditions. This implies that the best management practices may vary spatially, and that site-specific management is a desirable goal in conditions such as those which apply in Ward 10 of Hurungwe district in Zimbabwe.

EFFECTS OF LIME ON EXTRACTABLE ALUMINUM AND OTHER SOIL PROPERTIES AND ON BARLEY AND ALFALFA GROWN IN POT TESTS

1972 ◽  
Vol 52 (3) ◽  
pp. 427-438 ◽  
Author(s):  
A. J. MacLEAN ◽  
R. L. HALSTEAD ◽  
B. J. FINN
Keyword(s):  
Plant Growth ◽  
Soil Properties ◽  
Soil Ph ◽  
Acid Soil ◽  
Soil Samples ◽  
Neutral Salt ◽  
Incubation Experiment ◽  
Pot Experiments ◽  
P Content ◽  
Mn Content

Liming of six acid soil samples in an incubation experiment with rates to raise the soil pH to 6.0 or above eliminated Al soluble in 0.01 M CaCl2, reduced soluble Mn and Zn, increased NO3-N markedly, and at the highest pH increased the amounts of NaHCO3-soluble P in some of the soils. In corresponding pot experiments, liming increased the yield of alfalfa and in three of the soils the yield of barley also. Liming reduced the concentrations of the metals in the plants and at the highest pH tended to increase the P content of the plants. Liming to a pH of about 5.3 eliminated or greatly reduced soluble Al and the soils were base saturated as measured by the replacement of Al, Ca, and Mg by a neutral salt. There was some evidence that liming to reduce soluble Al and possibly Mn was beneficial for plant growth. Gypsum increased the concentrations of Al, Mn, and Zn in 0.01 M CaCl2 extracts of the soils whereas phosphate reduced them. The changes in the Mn content of the plants following these treatments were in agreement with the amounts of Mn in the CaCl2 extracts.

scholarly journals Improvement of Tea (Camellia sinensis L.) Soil Properties by Growing Different Green Crops

2015 ◽  
Vol 12 (2) ◽  
pp. 34-38 ◽  
Author(s):  
Ashim Kumar Saha ◽  
Apu Biswas ◽  
Abdul Qayyum Khan ◽  
Md. Mohashin Farazi ◽  
Md. Habibur Rahman
Keyword(s):  
Organic Carbon ◽  
Soil Properties ◽  
Total Nitrogen ◽  
Soil Ph ◽  
Nutritional Value ◽  
Soil Health ◽  
Critical Value ◽  
Available Phosphorus ◽  
Organic Carbon Content

Long-term tea cultivation has led to degradation of the soil. Old tea soils require rehabilitation for restoring soil health. Soil rehabilitation by growing different green crops can break the chain of monoculture of tea. An experiment was conducted at The Bangladesh Tea Research Institute (BTRI) Farm during 2008-2011 to find out the efficiency of different green crops on the improvement of soil properties. Four green crops such as Guatemala, Citronella, Mimosa and Calopogonium were grown to develop the nutritional value of the degraded tea soil. Soil samples were collected and analyzed before and at the end of experiment. Soil pH was increased in all four green crops treated plots with the highest increase in Citronella treated plots (from 4.1 to 4.5). Highest content of organic carbon (1.19%) and total nitrogen (0.119%) were found in Mimosa and Calopogonium treated plots, respectively. Concentration of available phosphorus, calcium and magnesium in all green crops treated plots were above the critical values, while available potassium content was above the critical value in Guatemala, Citronella and Mimosa treated plots. Changes in soil pH and available potassium were significant, while changes in organic carbon content, total nitrogen and available calcium were insignificant. Changes in available phosphorus and magnesium were significant. The Agriculturists 2014; 12(2) 34-38

scholarly journals Distribution of Gyrinops versteegii (Gilg.) Domke in varying vegetation structures, soil properties, and microclimates in Manggarai, Flores, East Nusa Tenggara

2020 ◽  
Vol 21 (5) ◽  
Author(s):  
Titut Yulistyarini ◽  
Abban Putri Fiqa ◽  
Sugeng Budiharta ◽  
Ridesti Rindyastuti
Keyword(s):  
Soil Properties ◽  
Natural Population ◽  
Natural Habitat ◽  
Ecological Factors ◽  
Habitat Characteristics ◽  
Home Garden ◽  
Dispersion Pattern ◽  
Natural Forests ◽  
Tropical Plants ◽  
Vegetation Structures

Abstract. Yulistyarini T, Fiqa AP, Budiharta S, Rindyastuti R. 2020. Distribution of Gyrinops versteegii in varying vegetation structures, soil properties, and microclimates in western part of Flores Island, Indonesia. Biodiversitas 21: 1800-1808. Gyrinops versteegii is one of the agarwood-producing tropical plants that is distributed in the Lesser Sunda Islands to Sulawesi, Moluccas (Maluku), and Papua. The natural population of Gyrinops versteegii (Gilg.) Domke is widely exploited, making it being listed in CITES Appendix II. Despite largely exploited, information regarding the distribution of G. versteegii to reveal the habitat characteristics of its natural population is limited. The aims of the research were (i) to investigate the habitat characteristics of the distribution of G. versteegii in term of vegetation community, as well as soil and microclimate variables in its natural habitat in western part of Flores Island, and (ii) to study the relationship between its occurrence and ecological factors. The research was conducted in one community forest and three natural forests in the districts of Manggarai and West Manggarai, Flores Island, East Nusa Tenggara Province. Data on vegetation, soil properties and microclimates were collected by establishing 73 observation plots across the four studied areas. Data were analyzed to reveal vegetation composition and structure where G. versteegii occurred, the dispersion pattern, and relationship between its occurrence and ecological factors. Our study revealed that G. versteegii populations at four studied areas in Flores Island were distributed in a broad range of habitat characteristics with varying vegetation compositions and structures, canopy covers as well as soil and microclimates variables. The local/metapopulations of G. versteegii in these areas can be dispersed in clumped or uniform pattern. Nonetheless, some ecological variables might be important for the abundance of this species including soil texture, soil pH, C organic and Soil Organic Matters (SOM). The results of this study suggest a promising opportunity for the conservation efforts of G. versteegii through the possibility of planting this species in various land management including planted in monoculture system, polyculture system (e.g. home garden and agroforestry) as well as reintroduced into species-rich natural forest.                                                                                                                                                                                                                                                                                                                               

scholarly journals Relationship between Spatial Variability Pattern of Wheat Yield and Soil Properties

2018 ◽  
pp. 1-14
Author(s):  
Alidad Karami ◽  
Sadegh Afzalinia
Keyword(s):  
Spatial Structure ◽  
Soil Properties ◽  
Soil Ph ◽  
Precision Agriculture ◽  
Interpolation Method ◽  
Irrigation System ◽  
Wheat Yield ◽  
Gaussian Model ◽  
Variogram Model ◽  
Clay Percentage

Aims: Determining effects of spatial variation of some soil properties on wheat quantity and quality variation in order that proper soil and inputs management can be applied for sustainable wheat production. Study Design: Analyzing data of a field with center pivot irrigation system and uniform management using the geostatistical method. Place and Duration of Study: Soil and Water Research Department, Fars Agricultural and Natural Resources Research and Education Center, Darab, Iran, from September 2013 to February 2014. Methodology: Wheat yield data harvested by class lexion 510 combine from 25 m2 plots (11340 locations) with the corresponding geographical location were used. Besides, soil properties and wheat yield were measured at 36 randomly selected points on the field. Interpolation of parameters was predicted with the best semi-variogram model using kriging, inverse distance weighted (IDW), and cokriging methods. Results: Results showed that wheat yield varied from 2 to 10.08 tons per hectare. Cokriging with cofactor of kernel weight interpolator had more accuracy compared to the combine default interpolator (kriging). A logical, linear correlation was found between different parameters. The best variogram model for pH, OC, and ρb was exponential, for EC, TNV, SP, soil silt and clay percentage was spherical, and for soil, percentage sand was Gaussian model. Data of soil sand, silt, and clay percentage, EC, TNV, and SP had strong spatial structure, and soil pH, OC, and ρb had moderate spatial structure. The best interpolation method for soil pH, EC, sand and silt percentage was kriging method; while, for TNV, SP, OC, ρb, and clay percentage was IDW. Conclusion: There was a close relationship between wheat yield variation and changes in the soil properties. Soil properties and wheat yield distribution maps provided valuable information which could be used for wheat yield improvement in precision agriculture.

scholarly journals KOMUNITAS MAKRO ALGA DI PERAIRAN PANTAI ERI TELUK AMBON

2019 ◽  
Vol 15 (1) ◽  
pp. 40-45
Author(s):  
Frijona F Lokollo
Keyword(s):  
Community Structure ◽  
Species Composition ◽  
Relative Frequency ◽  
Occurrence Frequency ◽  
Frequency Of Occurrence ◽  
Gracilaria Salicornia ◽  
Turbinaria Ornata ◽  
Belt Transect ◽  
Macro Algae

This research was conducted in Eri Beach, Ambon Bay on November 2016 to study community structure which consist of species composition, density and occurrence frequency of macro algae.  Sample of macro algae was collected by using belt transect method.  The results showed that there were 11 species of macro algae in the area which were belonged to 11 genera, 9 families, 8 orders, 3 classes and 3 divisions. Those species were Halimeda opuntia and Caulerpa serrulata (Chlorophyta), Padina minor and Turbinaria ornata (Phaeophya), Amphiroa rigida, Galaxaura rugosa, Ceratodictyon spongiosum, Gracilaria Salicornia, Laurencia papillosa, Acanthophora muscoides and Halymenia durvillaei (Rhodophyta). The highest density was represented by Amphiroa rigida (2.02 ind/m2) while the highest relative frequency of occurrence belonged to Padina minor (27%). Keywords : Community, macro algae, density, Eri, Ambon Bay   ABSTRAK Penelitian ini bertujuan untuk mengetahui struktur komunitas makro alga meliputi komposisi jenis, frekuensi kehadiran serta kepadatan di Pantai Eri. Penelitian dilakukan pada bulan November 2016. Stasiun pengamatan makro alga yaitu di perairan pantai Eri. Metode sampling menggunakan Belt Transect. Hasil penelitian ditemukan 11 spesies, 11 genus, 9 famili, 8 ordo, 3 kelas dan 3 devisi. Chlorophyta terdiri dari Halimeda opuntia dan Caulerpa serrulata. Phaeophya terdiri dari Padina minor dan Turbinaria ornata. Rhodophyta terdiri dari Amphiroa rigida, Galaxaura rugosa, Ceratodictyon spongiosum, Gracilaria Salicornia, Laurencia papillosa, Acanthophora muscoides dan Halymenia durvillaei. Kepadatan jenis tertinggi spesies A. rigida (2.02 ind/m2) dan frekuensi kehadiran relatif tertinggi spesies Padina minor (27%).

scholarly journals Global soil-climate-biome diagram: linking surface soil properties to climate and biota

2019 ◽  
Author(s):  
Xia Zhao ◽  
Yuanhe Yang ◽  
Haihua Shen ◽  
Xiaoqing Geng ◽  
Jingyun Fang
Keyword(s):  
Soil Properties ◽  
Bulk Density ◽  
Soil Ph ◽  
Surface Soil ◽  
Global Scale ◽  
Mean Annual Precipitation ◽  
Global Soil ◽  
Soc Density ◽  
Surface Soil Properties ◽  
Soil Climate

Abstract. Surface soils interact strongly with both climate and biota and provide fundamental ecosystem services that maintain food, climate, and human security. However, the quantitative linkages between soil properties, climate, and biota at the global scale remain unclear. By compiling a comprehensive global soil database, we mapped eight major soil properties (bulk density; clay, silt, and sand fractions; soil pH; soil organic carbon [SOC] density; soil total nitrogen [STN] density; and soil C : N mass ratios) in the surface (0–30 cm) soil layer based on machine learning algorithms, and demonstrated the quantitative linkages between surface soil properties, climate, and biota at the global scale (i.e., global soil-climate-biome diagram). On the diagram, bulk density increased significantly with higher mean annual temperature (MAT) and lower mean annual precipitation (MAP); soil clay fraction increased significantly with higher MAT and MAP; Soil pH decreased with higher MAP and lower MAT, and the critical MAP for the transition from alkaline to acidic soil decreased with decreasing MAT; SOC density and STN density both were jointly affected by MAT and MAP, showing an increase at lower MAT and a saturation tendency towards higher MAP. Surface soil physical and chemical properties also showed remarkable variations across biomes. The soil-climate-biome diagram suggests the co-evolution of the soil, climate, and biota under global environmental change.

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