scholarly journals CHEMICAL AND MICROBIOLOGICAL ATTRIBUTES UNDER DIFFERENT SOIL COVER

CERNE ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Elaine Novak ◽  
Laércio Alves Carvalho ◽  
Etenaldo Felipe Santiago ◽  
Irzo Isaac Rosa Portilho
Keyword(s):  
Soil Quality ◽  
Private Property ◽  
Microbial Biomass Carbon ◽  
Principal Component ◽  
Basal Respiration ◽  
Exchange Capacity ◽  
Native Vegetation ◽  
Mato Grosso ◽  
Environmental Recovery ◽  
Short Period

ABSTRACT A challenge for the environmental recovery of degraded areas is the search for soil data. In this process, the microbiological parameters and soil chemicals are potential indicators of soil quality. This study aimed to evaluate soil quality based on microbiological and chemical soil attributes in different areas involving environmental recovery, sugarcane cultivation and remnants of native vegetation located in a rural private property farm in State of Mato Grosso do Sul, Brazil, in Hapludox Eutrophic soil. The microbiological (microbial biomass carbon, basal respiration, microbial quotient and metabolic quotient) and chemical parameters (organic matter, carbon, pH, cationic exchange capacity, sum of bases, potassium, phosphorus, magnesium, calcium, saturation base and potential acidity) were assessed. Data were assessed by variance and multivariate analysis (Principal Component Analysis and cluster analysis). Overall, the results showed highest alteration in the chemical and microbiological characteristics of the soil in sugarcane cultivation area in comparison with other areas. Considering the studied recovery areas, REC1, REC5 and REC7 show chemical and microbiological conditions with most similarity to native vegetation. Despite the short period of the resilience enhancement of environmental recovery areas, the development of vegetation cover and establishment of the microbial community were determined to be important factors for improving soil quality and environmental recovery in several of the areas studied.

scholarly journals Performance Analysis and Soil Quality Indexing for Dalbergia sissoo Roxb. Grown in Marginal and Degraded Land of Eastern Uttar Pradesh, India

Land ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 63 ◽  
Author(s):  
Sheikh Adil Edrisi ◽  
Vishal Tripathi ◽  
Purushothaman Chirakkuzhyil Abhilash
Keyword(s):  
Soil Quality ◽  
Microbial Biomass Carbon ◽  
Uttar Pradesh ◽  
Principal Component ◽  
Climatic Conditions ◽  
Dalbergia Sissoo ◽  
Land Restoration ◽  
Degraded Land ◽  
Soil Quality Index ◽  
Degraded Lands

The successful utilization of marginal and degraded lands for biomass and bioenergy production depends upon various factors such as climatic conditions, the adaptive traits of the tree species and their growth rate and respective belowground responses. The present study was undertaken to evaluate the growth performance of a bioenergy tree (Dalbergia sissoo Roxb.) grown in marginal and degraded land of the Mirzapur district of Uttar Pradesh, India and to analyze the effect of D. sissoo plantations on soil quality improvement over the study years. For this, a soil quality index (SQI) was developed based on principal component analysis (PCA) to understand the effect of D. sissoo plantations on belowground responses. PCA results showed that among the studied soil variables, bulk density (BD), moisture content (MC), microbial biomass carbon (MBC) and soil urease activity (SUA) are the key variables critically influencing the growth of D. sissoo. The SQI was found in an increasing order with the growth period of D. sissoo. (i.e., from 0.419 during the first year to 0.579 in the fourth year). A strong correlation was also observed between the growth attributes (diameter at breast height, R2 = 0.870; and plant height, R2 = 0.861) and the soil quality (p < 0.01). Therefore, the developed SQI can be used as key indicator for monitoring the restoration potential of D. sissoo growing in marginal and degraded lands and also for adopting suitable interventions to further improve soil quality for multipurpose land restoration programs, thereby attaining land degradation neutrality and United Nations Sustainable Development Goals.

Assessing soil-quality indices for subtropical rice-based cropping systems in India

Soil Research ◽  
2016 ◽  
Vol 54 (1) ◽  
pp. 20 ◽  
Author(s):  
Nirmalendu Basak ◽  
Ashim Datta ◽  
Tarik Mitran ◽  
Satadeep Singha Roy ◽  
Bholanath Saha ◽  
...  
Keyword(s):  
Soil Quality ◽  
Cropping Systems ◽  
Principal Component ◽  
Exchange Capacity ◽  
Microbial Biomass C ◽  
Organic C ◽  
Soil Attributes ◽  
Labile C ◽  
Chemical Attributes ◽  
Minimum Dataset

Rice-based cropping systems are the foundation of food security in countries of Southeast Asia, but productivity of such systems has declined with deterioration in soil quality. These systems are different from other arable systems because rice is grown under submergence, and this may require a different set of key soil attributes for maintenances of quality and productivity. A minimum dataset was screened for assessing quality of soils belonging to three Soil Orders (Inceptisols, Entisols and Alfisols) by using statistical and mathematical models and 27 physical, chemical and biological attributes. Surface soils were collected from farmers’ fields under long-term cultivation of rice–potato–sesame cropping systems. Most of the attributes varied significantly among the Soil Orders used. Four or five key attributes were screened for each Soil Order through principal component and discriminate analysis, and these explained nearly 80% and 90% of the total variation in each Soil Order dataset. The attributes were dehydrogenase activity (DHA), available K, cation exchange capacity (CEC) and pHCa for Inceptisols; organic C, pHCa, bulk density, nitrogen mineralisation (Nmin) and β-glucosidase for Entisols; and DHA, very labile C, Nmin and microbial biomass C for Alfisols. Representation of the screened attributes was validated against the equivalent rice yield of the studied system. Among the selected key soil attributes, DHA and CEC for Inceptisols, organic C for Entisols, and Nmin and very labile C for Alfisols were most strongly correlated with system yield (R2 = 0.45, 0.77 and 0.78). Results also showed that biological and chemical attributes were most sensitive for indicating the differences in soil quality and have a strong influence on system yield, whereas soil physical attributes largely varied but did not predict system yield.

scholarly journals Effects of Different Tillage Intensities on Physicochemical and Microbial Properties of a Eutric Fluvisol Soil

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1497
Author(s):  
Anna Maria Gajda ◽  
Ewa Antonina Czyż ◽  
Agnieszka Klimkowicz-Pawlas
Keyword(s):  
Organic Matter ◽  
Soil Quality ◽  
Cold Water ◽  
Microbial Biomass Carbon ◽  
Clay Content ◽  
Basal Respiration ◽  
Metabolic Potential ◽  
Tillage Systems ◽  
Level Indicator ◽  
Microbial Properties

The physicochemical and microbial properties of soil under long-term monoculture of winter wheat were studied to assess the effects of two tillage systems of different intensities: reduced (RT) and conventional (CT). The research was carried out on an 18-year-old experimental field at Grabów (eastern Poland) between 2018 and 2020. The RT (ploughless) and the CT (mouldboard ploughing) systems with machine operating depths of up to 10 and 25 cm, respectively, were used. The analysed parameters were as follows: soil texture, pH, readily dispersible clay content (RDC), soil organic matter (SOM), carbon from particulate organic matter (POM-C), hot- and cold-water-extractable organic carbon (HWEC, CWEC) and nitrogen (HWEN, CWEN), soil basal respiration (SBR), microbial biomass carbon (MBC) and nitrogen (MBN), nitrification potential (NP), dehydrogenases (DEH), and acid (ACP) and alkaline (ALP) phosphatases activities. Several single soil quality indices, including: metabolic (qCO2) and microbial (MicQ) quotients, enzymatic pH level indicator (EpHI), stratification ratio (SR), and metabolic potential index (MP) were calculated. The use of RT resulted in increased SOM and, therefore, in decreased RDC and increased values of soil stability, POM-C, HWEC, CWEC, HWEN, CWEN, MBC, and MBN in relation to CT. The MicQ, EpHI, SR, and MP well reflected the effects of RT and CT systems on soil and appeared to be useful in soil quality assessment. The results showed the beneficial effects on soil of the less intensive RT system in comparison with CT. Statistical analysis showed the significance of differences between tillage systems and interrelationships between the studied soil quality parameters.

scholarly journals Effects of pumice mining on soil quality

Solid Earth ◽  
2016 ◽  
Vol 7 (1) ◽  
pp. 1-9 ◽  
Author(s):  
A. Cruz-Ruíz ◽  
E. Cruz-Ruíz ◽  
R. Vaca ◽  
P. Del Aguila ◽  
J. Lugo
Keyword(s):  
Bulk Density ◽  
Soil Quality ◽  
Total Nitrogen ◽  
Agricultural Soils ◽  
Microbial Biomass Carbon ◽  
Principal Component ◽  
Available Phosphorus ◽  
Total N ◽  
Organic C ◽  
Study Sites

Abstract. Mexico is the world's fourth most important maize producer; hence, there is a need to maintain soil quality for sustainable production in the upcoming years. Pumice mining is a superficial operation that modifies large areas in central Mexico. The main aim was to assess the present state of agricultural soils differing in elapsed time since pumice mining (0–15 years) in a representative area of the Calimaya region in the State of Mexico. The study sites in 0, 1, 4, 10, and 15 year old reclaimed soils were compared with an adjacent undisturbed site. Our results indicate that gravimetric moisture content, water hold capacity, bulk density, available phosphorus, total nitrogen, soil organic carbon, microbial biomass carbon and phosphatase and urease activity were greatly impacted by disturbance. A general trend of recovery towards the undisturbed condition with reclamation age was found after disturbance, the recovery of soil total N being faster than soil organic C. The soil quality indicators were selected using principal component analysis (PCA), correlations and multiple linear regressions. The first three components gathered explain 76.4 % of the total variability. The obtained results revealed that the most appropriate indicators to diagnose the quality of the soils were urease, available phosphorus and bulk density and minor total nitrogen. According to linear score analysis and the additive index, the soils showed a recuperation starting from 4 years of pumice extraction.

scholarly journals Mapping Soil Quality in Various Land Uses as a Basis for Soil Management in Wonogiri, Indonesia

2020 ◽  
Vol 11 (2) ◽  
pp. 127-135
Author(s):  
Mujiyo MUJIYO ◽  
Suntoro SUNTORO ◽  
Restu Prasetyaning TYAS ◽  
Aktavia HERAWATI ◽  
Hery WIDIJANTO
Keyword(s):  
Land Use ◽  
Soil Quality ◽  
Microbial Biomass Carbon ◽  
Principal Component ◽  
Soil Management ◽  
Agroforestry System ◽  
Land Uses ◽  
Soil Quality Index ◽  
Data Set ◽  
Quality Status

Soil quality is closely related to environment because soil is not only viewed as a growing media for plants but also encompasses various environmental and health functions. It is important to know the quality of soil in order to keep it healthy, productive, and optimally functioning. This research aims to evaluate soil quality status in various land uses and to learn the land factors that are related to soil quality. Soil quality index (SQI) represents the soil quality status. SQI will then be used as the basis for soil management. A descriptive explorative research study was carried out in the Giritontro Sub-district, Wonogiri District, Indonesia. SQI indicators were obtained from 12 existing Land Mapping Units (LMU). SQI was obtained by determining the Minimum Data Set (MDS) with a Principal Component Analysis (PCA) test. Then SQI was mapped and statistically analyzed to determine the influence of land use and the determinant factors of SQI. Results showed that SQI in all area is class 3 or moderate. SQI was significantly influenced by land use. SQI in paddy field is 9.09% higher than crop fields and 2.27% higher than of plantations. Indicators which are significantly related to SQI are bulk density, porosity, cation exchange capacity, available P, available K and microbial biomass carbon (MBC). The type of soil management that can be implemented to improve soil quality includes addition of organic or inorganic fertilizer and adoption of an agroforestry system.

scholarly journals Assessment of soil quality indicators under rice ecosystem of Assam, India

2020 ◽  
Vol 41 (6) ◽  
pp. 1655-1664
Author(s):  
A. Gayan ◽  
◽  
D.J. Nath ◽  
B. Bhattacharyya ◽  
N. Dutta ◽  
...  
Keyword(s):  
Soil Quality ◽  
Rice Yield ◽  
Maximum Yield ◽  
Principal Component ◽  
Exchange Capacity ◽  
Biological Parameters ◽  
Quality Indices ◽  
Soil Quality Index ◽  
Rice Soils ◽  
Rice Ecosystem

Aim: To assess the soil quality indices and its impact on rice yield in Upper Brahmaputra Valley Zone of Assam. Methodology: Seventy-three numbers of geo referenced soil samples were collected from the rice ecosystems and analysed for twenty-one soil physical, chemical and biological parameters. The soil quality indices (SQI) were developed using statistical tools like principal component analysis (PCA) techniques and expert opinion (EO). Relative soil quality index (RSQI) was also developed for grouping the soils into categories. Correlation matrices were drawn between different soil quality indices. The optimum values of soil quality indices were computed to sustain 80% or more of the existing in field maximum rice yield (5.20 t ha-1). Results: Multivariate statistics showed that four biological parameters viz., fluorescein di-acetate activity, phosphate solubilising bacteria, total bacterial population and collembolan population and three chemical parameters viz., cation exchange capacity, electrical conductivity? and diethylene tri amine penta acetic acid-Zinc could explain 70.2% of the cumulative variance. RSQI demonstrated that >50% and >30% of soils belonged to medium and good category. The regression of percent relative rice yield obtained from farmers field, illustrated that soil functions based EO-SQI could explain high degree of relationship (R2=0.289; r=0.537*), followed by RSQI (R2=0.284;r=0.532*) and PCA-SQI (R2=0.143; r=0.378*) to explain the variability of soils. The optimum value indicates that the rice soils having PCA-SQI value >0.55 were likely to give 80% or more of the maximum yield of UBVZ of Assam. Interpretation: Approaches of rating of soil quality based on PCA-SQI may be a useful tool, and there is need of more extensive investigations to validate its usefulness for assessment of soil quality in different cropping sequences of Assam.

Soil quality assessment of vegetation restoration after a large forest fire in Daxing’anling, northeast China

2020 ◽  
pp. 1-13 ◽  
Author(s):  
Lihong Wang ◽  
Qiang Fu
Keyword(s):  
Microbial Biomass ◽  
Soil Quality ◽  
Forest Fires ◽  
Microbial Biomass Carbon ◽  
Principal Component ◽  
Vegetation Restoration ◽  
Soil Quality Index ◽  
Data Set ◽  
Microbial Biomass Nitrogen ◽  
A Value

Forest fires significantly change soil function and quality. Finding an effective way to accelerate the restoration of soil quality after forest fires is a major issue. This study investigated the soil quality index (SQI) during vegetation restoration after a fire in a Larix gmelinii plantation, throughout different restoration years. Fifteen physical, chemical, and biological properties of soil were examined using principal component analysis, and soil quality was assessed by SQI. The results revealed that soil physical properties, chemical properties, and enzyme activities showed the most improvement after 24 yr of restoration. Soil microbial biomass carbon content and microbial biomass nitrogen content increased with restoration years. Soil bulk density, microbial biomass nitrogen, sucrase, and catalase were retained in the minimum data set. After 24 yr of restoration, SQI was the highest, with a value of 0.52, followed by natural restoration, 21, 13, and 16 yr; the SQI after 3 yr of restoration was the lowest, with a value of 0.26. Artificial regeneration accelerated the recovery of soil quality after 24 yr. Soil quality should be monitored continuously in the study area.

scholarly journals Chemical and Physical Characteristics in Uncultivated Soils with Different Lithology in Semiarid Mediterranean Clima

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Daniel Moraetis ◽  
Nikolaos Lydakis-Simantiris ◽  
Despina Pentari ◽  
Emmanouil Manoutsoglou ◽  
Chryssa Apostolaki ◽  
...  
Keyword(s):  
Soil Quality ◽  
Principal Component ◽  
Physicochemical Characteristics ◽  
Organic Content ◽  
Exchange Capacity ◽  
Climatic Conditions ◽  
Parent Material ◽  
Physical Characteristics ◽  
Undisturbed Soil ◽  
Bulk Chemical

The aim of this study is to identify the chemical and physical characteristics in uncultivated soils derived from different parent materials under semiarid Mediterranean climatic conditions which favoured the formation of fragile soils. The current work is of great interest in the agriculture and environmental stakeholders for providing a “benchmark” of undisturbed soil quality regarding organic content and nutrients availability. Principal Component Analysis (PCA) was used as the primary tool to demonstrate the soil quality stage, regarding nutrient availability. The statistical analysis revealed that one of the major physicochemical characteristics such as cation exchange capacity (CEC) is controlled exclusively from mineralogy and not from organic matter. Mineralogy and bulk chemical analysis is directly related to soil parent material lithology. The availability of inorganic nutrients (macro- and micronutrients) is low and relatively identical to most of the soils. PCA shows the unusual correlation of K+with not only illite content but also the OM in soils. The development of soils which are already of low quality in respect of organic content and nutrients is evident in Crete in most of the 54 samples investigated.

scholarly journals Biological Quality Indicators of a Haplortox Soil Under Different Management Systems in Southern Brazil

2018 ◽  
Vol 10 (5) ◽  
pp. 250
Author(s):  
Macarius Cesar Di Lauro Moreira ◽  
Deonir Secco ◽  
Luiz Antônio Zanão Júnior ◽  
Luciene Kazue Tokura ◽  
Araceli Ciotti de Marins ◽  
...  
Keyword(s):  
Soil Quality ◽  
Pennisetum Glaucum ◽  
Microbial Biomass Carbon ◽  
Biological Indicators ◽  
Basal Respiration ◽  
Soil Tillage ◽  
Management Systems ◽  
Mean Values ◽  
Soil Microbial ◽  
Avena Strigosa

The research was looking for the quick response of soil's microbiota to soil changes caused by management systems, changes to which biological indicators of soil quality are sensitive. In this context, this study aimed to evaluate the impacts of seven soil management systems, including in on hand covers of Pennisetum glaucum (PG), Avena strigosa (AS), Stizolobium aterrimum (SA), EF Pisum sativum (PS) + Avena strigosa (AS), and on the other hand, No soil tillage with gypsum application (NTSG), No soil tillage with scarification (NTSS) and No soil tillage (NTS), on soil quality bioindicators. The bioindicators recorded from top soil samples were collected from the first 10 cm at pre-planting, at pre-flowering and at post-harvest of the soybean, from July 2014 to March 2015 were Total organic carbon (TOC), Soil microbial biomass carbon (SMBC), Soil basal respiration, Respiratory coefficient (qCO2), Microbial coefficient (qMIC), and its relationship with soybean yields. The seven treatments were arranged in the field according to a completely randomized experimental, Analysis of variance (Anova) for each of the bioindicators and comparison of treatment mean values using Tukey test at 5% probability were carried out. SA, the AS+PS consortium and the no-tillage system led to significant improvement of the biological attributes of the soil. The management systems did not change the yield of soybean grain.

scholarly journals Development of soil biological quality index for soils of semi-arid tropics

2019 ◽  
Author(s):  
Selvaraj Aravindh ◽  
Chinnappan Chinnadurai ◽  
Danajeyan Balachandar
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Tamil Nadu ◽  
Microbial Biomass Carbon ◽  
Principal Component ◽  
Soil Types ◽  
Consensus Protocol ◽  
Soil Quality Index ◽  
Biological Quality ◽  
Biological Health

Abstract. The Agricultural intensification, an inevitable process to feed the ever-increasing population, affects the soil quality due to management-induced changes. To measure the soil quality in terms of the soil functioning, several attempts were made to develop the soil quality index (SQI) based on a set of soil attributes. However, there is no universal consensus protocol available for SQI and the role of soil biological indicators in SQI is meagre. Therefore, the objective of the present work is to develop a unitless soil biological quality index (SBQI) scaled between 0 and 10, which would be a major component of SQI in future. The long-term organic manure amended (OM), integrated nutrient management enforced (INM), synthetic fertilizer applied (IC) and unfertilized control (Control) soils from three different predominant soil types with three different cropping patterns of the location (Tamil Nadu state, India) were chosen for this. The soil organic carbon, microbial biomass carbon, labile carbon, protein index, dehydrogenase activity and substrate-induced respiration were used to estimate the SBQI. Five different SBQI methods viz., simple additive (SBQI-1 and SBQI-2), scoring function (SBQI-3), principal component analysis-based statistical modeling (SBQI-4) and quadrant-plot based method (SBQI-5) were developed to estimate the biological quality as unitless scale. All the five methods have same resolution to discriminate the soils and INM ≈ OM > IC > Control is the relative trend being followed in all the soil types based on the SBQIs. All the five methods were further validated for their efficiency in 25 farmers' soils of the location and proved that these methods can be effectively used to scale the biological health of the soil. Among the five SBQIs, we recommend SBQI-5, which relates the variables to each other to scale the biological health of the soil.

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