Comparison of Microbial Gene Diversity in Grassland Topsoil Depending on Soil Quality

Soil has multiple functions, including the provision of habitat to organisms, and most biological activities occur in the surface soil. Due to the negative effects of soil erosion, efforts for soil conservation are being made, including the development of a reliable index that can help assess soil quality. In this study, the physical and chemical properties and biological genes from grassland topsoil were analyzed, in order to identify surface soil organism markers that could be used as a soil quality index. Six spots of grassland topsoil were analyzed, one high-quality and five low-quality, based on a web-based soil quality assessment module. Consequently, eukaryotes and prokaryotes with different soil quality ratios were compared and examined. The following bacteria and archaea have the potential to be used in soil quality assessment: circulation of materials including nitrogen, Nitrospira spp., Candidatus Nitrososphaera, and Candidatus Nitrosotalea; biological purification, Geobacter spp.; pathogens, Burkholderia spp., Paraburkholderia spp., Pseudomonas brassicacearum, and Rhizobacter spp.; antibiotic secretion, Candidatus Udaeobacter; and material degradation Steroidobacter spp. and Rhodanobacter spp. This study provides primary data for identifying biological markers for soil quality evaluation. In the future, a wider variety of data need to be accumulated to develop a highly reliable index related to soil quality.

Download Full-text

Representativeness of determining the soil natural fertility index

Modern achievements of geodesic science and industry ◽

10.33841/1819-1339-1-41-164-171 ◽

2021 ◽

Vol 41 (I) ◽

pp. 164-171

Author(s):

Lev PEROVYCH ◽

◽

Lesya PEROVYCH ◽

T. MARTYNIUK ◽

◽

...

Keyword(s):

Soil Fertility ◽

Quality Assessment ◽

Soil Quality ◽

Local Governments ◽

Evaluation System ◽

Quality Index ◽

Natural Fertility ◽

Soil Quality Index ◽

Fertility Index ◽

Soil Quality Assessment

Assessment of the soil natural fertility is important in the socio-economic stability and development of each territory. Purpose: This study is devoted to the method of solving an important socio-economic problem – determining the soil fertility index. Research methodology. In the course of the research the methods of the theory of soil quality assessment, mathematical statistics, field and laboratory researches of the numerical values forming the estimated cost of soils are used. Natural soil fertility is represented by the five most important groups of factors: morphological, physical, agrochemical, physicochemical and environmental. Each group of factors may include a number of individual indicators that researchers believe are the most influential in assessing this type of soil. Soil quality is a complex natural functional system that cannot be obtained from direct measurements, but can be determined with a certain degree of confidence by processing the values that most fully characterize the soil. In this regard, a number of methods and methodological approaches to their definition have been developed. To this end, we have chosen a five-point rating scale, which makes it possible to assess each factor in a single evaluation system. The scientific novelty. Based on known methods of soil quality assessment, the authors propose a methodological approach that allows not only to assess the determination of the soil quality index and its accuracy but also the influence of individual factors on the index value. Results: classification of the factors forming the soil quality index, their scores` assessment and methodology of database processing have been developed, and their practical application and confirmation have been found in experimental studies. Practical significance. This can be used by experts in the field of soil assessment to develop proposals and recommendations for public authorities and local governments to address land administration issues.

Download Full-text

Soil quality assessment of cropland by multi criteria analysis

Mongolian Journal of Agricultural Sciences ◽

10.5564/mjas.v31i3.1548 ◽

2021 ◽

Vol 31 (3) ◽

pp. 143-153

Author(s):

Byambasuren Damdin ◽

Ser-Od Baatar ◽

Dambadarjaa Naranbat ◽

Batbileg Bayaraa

Keyword(s):

Quality Assessment ◽

Soil Quality ◽

Humus Content ◽

Wheat Yield ◽

Chemical Properties ◽

Humus Layer ◽

Soil Quality Assessment ◽

Multi Criteria Analysis ◽

Phosphorus And Potassium ◽

The Impact

The quality of cropland in Ugtaaltsaidam soum of Tuv aimag was assessed by GIS and multi-criteria analysis (MCA) using physical and chemical properties of soil. Considering the impact of soil factors on wheat yield, humus content is 41.52%, the humus layer thickness is 25.67%, soil mechanical composition is 13.87%, total adsorbed bases is 10.43%, and reaction environment is 8.87%. Therefore, soil quality assessment was evaluated in each cropland. According to the score, the cropland was scored 43.89-81.47%, while it decreased by 22.9-27.4% to 31.81-62.78 because of depending on other factors, such as the level of supply of nitrogen, phosphorus and potassium. Тариалангийн газрын хөрсний чанарын үнэлгээг олон хүчин зүйлийн дүн шинжилгээний аргаар тодорхойлох (Төв аймгийн Угтаалцайдам сумын жишээн дээр) Төв аймгийн Угтаалцайдам сумын тариалангийн газрын чанарын үнэлгээг хөрсний физик-химийн шинж чанарын үзүүлэлтүүдээр олон хүчин зүйлийн дүн шинжилгээний аргаар хийж зураглал үйлдлээ. Буудайн ургацад хөрсний хүчин зүйлүүд хэрхэн нөлөөлж байгааг тооцож үзэхэд ялзмаг агууламж- 41.52%, ялзмагт үеийн зузаан 25.67%, хөрсний механик бүрэлдэхүүн 13.87%, шингээгдсэн сууриудын нийлбэр 10.43%, урвалын орчин 8.87% нөлөөлж байна гэж үзээд үүнд үндэслэн хөрсний үнэлгээний шатлал тогтоож, тариалангийн талбай бүрийг баллаар үнэллээ. Баллын үнэлгээгээр тариалангийн газар 43.89-81.47 оноотой гарсан бол бусад хүчин зүйлээр буюу азот, фосфор, кали зэргийн хангамжийн түвшингээс хамааруулж зохих итгэлцүүр тогтоож үнэлгээнд засвар хийхэд 22.9-27.4% буурч 31.81-62.78 оноотой болж байна. Түлхүүр үг: Тариалангийн газар, хөрсний үнэлгээ, зураглал, олон хүчин зүйлийн шинжилгээ

Download Full-text

Changes in soil quality under conservation agriculture practices in West Nusa Tenggara, Indonesia

Jurnal Tanah dan Iklim ◽

10.21082/jti.v42n1.2018.27-36 ◽

2020 ◽

Vol 42 (1) ◽

pp. 27

Author(s):

Achmad Rachman

Keyword(s):

Soil Quality ◽

Surface Soil ◽

Chemical Properties ◽

Conservation Agriculture ◽

Arid Environment ◽

Soil Quality Index ◽

Gradual Improvement ◽

Main Challenge ◽

Lower Bulk Density ◽

Semi Arid

The main challenge for cultivating upland in semi arid environment as in West Nusa Tenggara, Indonesia is the limited availability of water resources and accelerated deterioration of soil quality. This study evaluated changes in selected soil properties and soil quality 4 years after the implementation of conservation agriculture (CA) practices. The study was conducted at the CA demonstation plots in Gunung Malang Village, Pringgabaya District, East Lombok Regency, West Nusa Tenggara Province. The surface soil texture was loam with slope ranging from 5 to 10%. Two CA Models and one farmer practice (LP) were compared. Within each model three sampling positions were sampled: within the corn planted area (Position A), 0-10 cm from the edge of the corn planted area (Position B), and 10 – 20 cm from the edge of the corn planted area (Position C). Intact soil samples (76 by 40 mm) were taken from the three positions at two depths (100-mm increments) to determine soil physical properties and bulk samples from the surface soil (0 – 15 cm) to determine soil chemical properties in the laboratory. The CA Model had significantly (<em>P</em> < 0.01) lower bulk density (BD), and increase soil organic carbon (SOC) and available P (Av P), while Position had significantly affect only BD. The lowest BD (0.87 ± 0.07 Mg m-<sup>3</sup>) and the highest SOC (1.51± 0.05%) and available pore water (AWC; 18.06 ± 0.76% vol) were found at Position A in CA with permanent pit (PIT). The highest soil quality index was found in Position A followed by Position B and the least was in C indicating that the crop rotation component in CA had relatively small effect on improving soil quality. These results suggested that there is a gradual improvement on soil quality after 4 years of the implementation of conservation agriculture and require longer time than 4 yr to achieve the best soil quality for this semi arid environment

Download Full-text

Relationships between physico-chemical, biological and functional approaches for soil quality assessment. A case study along a gradient of disturbance

European Journal of Soil Biology ◽

10.1016/j.ejsobi.2021.103300 ◽

2021 ◽

Vol 104 ◽

pp. 103300

Author(s):

Pusanisa Heepngoen ◽

Alexis Thoumazeau ◽

Marie-Sophie Renevier ◽

Kannika Sajjaphan ◽

Frédéric Gay ◽

...

Keyword(s):

Quality Assessment ◽

Soil Quality ◽

Physico Chemical ◽

Soil Quality Assessment

Download Full-text

Towards solid-state, thick-film K+ and Na+ ion sensors for soil quality assessment

2020 IEEE Sensors ◽

10.1109/sensors47125.2020.9278872 ◽

2020 ◽

Author(s):

Marios Sophocleous ◽

Laura Contat-Rodrigo ◽

Eduardo Garcia-Breijo ◽

Julius Georgiou

Keyword(s):

Solid State ◽

Quality Assessment ◽

Thick Film ◽

Soil Quality ◽

Ion Sensors ◽

Soil Quality Assessment

Download Full-text

Participatory soil quality assessment: The case of smallholder farmers in Ethiopian highlands

Soil Research ◽

10.1071/sr04021 ◽

2004 ◽

Vol 42 (7) ◽

pp. 793 ◽

Cited By ~ 6

Author(s):

Teklu Erkossa ◽

Karl Stahr ◽

Thomas Gaiser

Keyword(s):

Quality Assessment ◽

Soil Quality ◽

Crop Production ◽

Smallholder Farmers ◽

Soil Management ◽

Triticum Aestivum L ◽

Soil Functions ◽

Yield Data ◽

Management Interventions ◽

Soil Quality Assessment

The study was conducted at Caffee Doonsa (08°88′N, 39°08′E; 2400 m asl), a small watershed in the central highlands of Ethiopia, in order to identify farmers’ goals of soil management and the indicators they use in selecting soils for a certain function, and to categorise the soils in different quality groups with respect to the major functions. Thirty-six male farmers of different age and wealth groups participated in a Participatory Rural Appraisal technique. They listed and prioritised 12 soil functions in the area and itemised the soil quality indicators (characteristics). Based on the indicators, the soils in the watershed were classified into 3 soil quality (SQ) groups (Abolse, Kooticha, and Carii). The SQ groups have been evaluated and ranked for the major soil functions. For crop production, Abolse was graded best, followed by Kooticha and Carii, respectively. The grain and straw yield data of wheat (Triticum aestivum L.) taken from the SQ groups confirmed the farmers claim, in that Abolse gave the highest grain yield (4573 kg/ha), followed by 4411 and 3657 kg/ha for Kooticha and Carii, respectively. Local insights should be included in systematic soil quality assessment, and in planning and implementation of various soil management interventions.

Download Full-text