Quantifying the impact of tillage measures on the cultivated-layer soil quality in the red soil hilly region: Establishing the thresholds of the minimum data set

ABSTRACT Recent media coverage has focused on the supply of physicians in the United States, especially with the impact of a growing physician shortage and the Affordable Care Act. State medical boards and other entities maintain data on physician licensure and discipline, as well as some biographical data describing their physician populations. However, there are gaps of workforce information in these sources. The Federation of State Medical Boards' (FSMB) Census of Licensed Physicians and the AMA Masterfile, for example, offer valuable information, but they provide a limited picture of the physician workforce. Furthermore, they are unable to shed light on some of the nuances in physician availability, such as how much time physicians spend providing direct patient care. In response to these gaps, policymakers and regulators have in recent years discussed the creation of a physician minimum data set (MDS), which would be gathered periodically and would provide key physician workforce information. While proponents of an MDS believe it would provide benefits to a variety of stakeholders, an effort has not been attempted to determine whether state medical boards think it is important to collect physician workforce data and if they currently collect workforce information from licensed physicians. To learn more, the FSMB sent surveys to the executive directors at state medical boards to determine their perceptions of collecting workforce data and current practices regarding their collection of such data. The purpose of this article is to convey results from this effort. Survey findings indicate that the vast majority of boards view physician workforce information as valuable in the determination of health care needs within their state, and that various boards are already collecting some data elements. Analysis of the data confirms the potential benefits of a physician minimum data set (MDS) and why state medical boards are in a unique position to collect MDS information from physicians.

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Assessment of post-wildfire soil quality and its recovery in semi-arid upland rangelands in Central Iran through selecting the minimum data set and quantitative soil quality index

CATENA ◽

10.1016/j.catena.2021.105202 ◽

2021 ◽

Vol 201 ◽

pp. 105202

Author(s):

Fayez Raiesi ◽

Masoomeh Pejman

Keyword(s):

Soil Quality ◽

Quality Index ◽

Central Iran ◽

Minimum Data Set ◽

Soil Quality Index ◽

Data Set ◽

Minimum Data ◽

Semi Arid

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Evaluasi Kualitas Tanah Sawah Intensif dan Sawah yang Dikonversikan untuk Kebun di Subak Kesiut Kerambitan Tabanan

Agrotrop : Journal on Agriculture Science ◽

10.24843/ajoas.2020.v10.i01.p01 ◽

2020 ◽

Vol 10 (1) ◽

pp. 1

Author(s):

I DEWA MADE ARTHAGAMA ◽

I MADE DANA

Keyword(s):

Soil Quality ◽

Paddy Soil ◽

Field Survey ◽

Research Area ◽

Paddy Soils ◽

Minimum Data Set ◽

Data Set ◽

Minimum Data ◽

Better Than

Evaluation Quality of Intensif Paddy Soils and Conversion Paddy Soils to Garden at Subak Kesiut Kerambitan Tabanan. This experiment conducted to evaluate intensif Paddy Soils and conversion paddy soils to garden at SubakKesiut Kerambitan Tabanan. There were two steps applied in this study including field survey to determine the research area and points soils sampling; analysis soils properties are: physic, chemistry and soils biology for get minimum data set to determine the soil quality at Laboratory of Soils and Enveronment Faculty of Agriculture Unud. The results of this study showed: the soil quality of intensif paddy soils is better than conversion paddy soils to garden, that showed with SQR at intensif paddy soil is 18 and at conversions paddy soil is 25. The limiting faktor at conversion paddy soils to garden is P available, there are less than at intensif paddy soils.

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Soil quality index as affected by temporal long term tea cultivation in Jorhat District of Assam

Journal of Environmental Biology ◽

10.22438/jeb/41/6/si-252 ◽

2020 ◽

Vol 41 (6) ◽

pp. 1685-1695

Author(s):

N. Baruah ◽

◽

B.K. Medhi ◽

Sanjay Swami ◽

R.K. Thakuria ◽

...

Keyword(s):

Soil Quality ◽

Quality Index ◽

Age Groups ◽

Minimum Data Set ◽

Soil Quality Index ◽

Available Nitrogen ◽

Systems Methodology ◽

Data Set ◽

Minimum Data ◽

Tea Plantations

Aim: The investigation was undertaken to identify the Minimum Data Set (MDS) for Soil Quality Index (SQI) assessment in continuouslong-term tea cultivation systems. Methodology: In the study under very deep, fine loamy, well-drained soil, five age groups of tea plantations viz. less than 15 years, 15-30 years, 30-45 years, 45-60 years and more than 60 years were selected and identified minimum data set and soil quality index. Results: In very deep, fine loamy, well-drained soil under continuous tea cultivation, SQI, 14.74 was obtained for less than 15 years, 14.06 for 15-30 years, 11.12 for 30-45 years, 12.94 for 45-60 years and 11.37 for more than 60 years of plantation, respectively. Interpretation: The most sensitive soil quality indicators identified in very deep, fine loamy, well-drained soil were pH for less than 15 years, total nitrogen for 15-30 years, available nitrogen for 30-45 years, organic carbon for 45-60 years and exchangeable aluminium for more than 60 years of continuous tea cultivation.

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Quantitative Indicators of Soil Quality: A Minimum Data Set

SSSA Special Publications - Methods for Assessing Soil Quality ◽

10.2136/sssaspecpub49.c2 ◽

2015 ◽

pp. 25-37 ◽

Cited By ~ 75

Author(s):

John W. Doran ◽

Timothy B. Parkin

Keyword(s):

Soil Quality ◽

Minimum Data Set ◽

Data Set ◽

Minimum Data ◽

Quantitative Indicators

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Physical Soil Quality of Semi - Arid Savanna as Influenced by Acacia senegalensis in Desert Research Experimental Plot Yobe State University Damaturu, Northern Nigeria

International Journal of Plant & Soil Science ◽

10.9734/ijpss/2021/v33i530432 ◽

2021 ◽

pp. 7-17

Author(s):

Hamza Haruna ◽

Galal H.G. Hussein ◽

Mohammed B

Keyword(s):

Land Use ◽

Organic Carbon ◽

Bulk Density ◽

Soil Quality ◽

Minimum Data Set ◽

Organic Carbon Content ◽

Data Set ◽

Minimum Data ◽

Lower Bulk Density ◽

Semi Arid

Soil is a living and dynamic natural reservoir and source of plant nutrients that play numerous key roles in terrestrial ecosystems. This study investigated the impact of three adjacent land use systems (Acacia senegalensis plantation (ACP), pilostigma raticulatum plantation (PRP) and Ground nut field (GNF) on selected soil physical quality indicators in a Northern Nigeria semi- arid Savanna. Minimum data set for assessing soil quality (Prime quality agricultural land) in this study include bulk density, organic carbon content, total nitrogen, carbon stock, available phosphorus and pH values obtained from DRMCC research field. Mean values of the data set were arranged and scored to obtain totals among the minimum data set (MDS). Soil quality is considered a key element for evaluating the sustainability of land management practices. Data generated were analyzed using ANOVA and significant means were determined using Duncan multiple range test (DMRT). ACP had significantly higher organic carbon content (9.37 gkg-1) and lower bulk density (2.16 gkg-1) than pilostigma and GNF respectively. The lower bulk density (ρb) and high organic carbon in ACP might be due to high leaf shading by acacia while the lower bulk density in ground nut field aided by trampling induced compaction resulted in its high relative field capacity (RFC), permanent wilting point (PWP) and micro-p ore spaces (PMIC) tillage in ground nut field created loose soil in the plough layer (<20 cm) which turn out to its low bulk density (ρb). Acacia plantation contained highest total nitrogen value (1.23 gkg-1); perhaps resulting Acacia leaf litter is known to have a high decomposition rate. Pilostigma plantation contained (1.22 gkg-1) nitrogen, while the least nitrogen content was obtained under ground nut field. On scoring the land use types and depth against the minimum data set, the least total was that under acacia plantation, followed by pilostigma plantation then ground nut field. Therefore, soils under acacia plantation were ranked best quality (SQ1) for cultivation purposes at 0-10 cm, followed by pilostigma land use type that were ranked SQ2. Ground nut field soils were ranked least (SQ6) in quality for use in crop production at depth of 10-20 cm.

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Towards a minimum data set to assess soil organic matter quality in agricultural soils

Canadian Journal of Soil Science ◽

10.4141/cjss94-051 ◽

1994 ◽

Vol 74 (4) ◽

pp. 367-385 ◽

Cited By ~ 589

Author(s):

E. G. Gregorich ◽

M. R. Carter ◽

D. A. Angers ◽

C. M. Monreal ◽

B. H. Ellert

Keyword(s):

Organic Matter ◽

Soil Organic Matter ◽

Soil Quality ◽

Minimum Data Set ◽

Data Sets ◽

Data Set ◽

Organic Matter Quality ◽

Carbon And Nitrogen ◽

Minimum Data ◽

Soil Organic Matter Quality

Soil quality is a composite measure of both a soil’s ability to function and how well it functions, relative to a specific use. Soil quality can be assessed using a minimum data set comprising soil attributes such as texture, organic matter, pH, bulk density, and rooting depth. Soil organic matter has particular significance for soil quality as it can influence many different soil properties including other attributes of the minimum data set. Assessment of soil organic matter is a valuable step towards identifying the overall quality of a soil and may be so informative as to be included in minimum data sets used to evaluate the world’s soils.In this review, soil organic matter is considered to encompass a set of attributes rather than being a single entity. Included among the attributes and discussed here are total soil organic carbon and nitrogen, light fraction and macroorganic (particulate) matter, mineralizable carbon and nitrogen, microbial biomass, soil carbohydrates and enzymes. These attributes are involved in various soil processes, such as those related to nutrient storage, biological activity, and soil structure, and can be used to establish different minimum data sets for the evaluation of soil organic matter quality. Key words: Biological activity, minimum data set, nutrient storage, soil organic matter, soil quality, soil structure

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Spatio-temporal Soil Quality Assessment under Crop Rotation Irrigated with Treated Urban Wastewater using Fuzzy Modelling

International Agrophysics ◽

10.2478/intag-2014-0019 ◽

2014 ◽

Vol 28 (3) ◽

pp. 291-302 ◽

Cited By ~ 6

Author(s):

Marjan Ghaemi ◽

Ali R. Astaraei ◽

Mehdi Nassiri Mahalati ◽

Hojat Emami ◽

Hossein H. Sanaeinejad

Keyword(s):

Soil Quality ◽

Quality Index ◽

Biological Significance ◽

Minimum Data Set ◽

Spatial And Temporal Variability ◽

Urban Wastewater ◽

Soil Quality Index ◽

Data Set ◽

Minimum Data ◽

Total Data

Abstract Quantifying soil quality is important for assessing soil management practices effects on spatial and temporal variability of soil quality at the field scale. We studied the possibility of defining a simple and practical fuzzy soil quality index based on biological, chemical and physical indicators for assessing quality variations of soil irrigated with well water and treated urban wastewater during two experimental years. In this study 6 properties considered as minimum data set were selected out of 18 soil properties as total data set using the principal component analysis. Treated urban wastewater use had greater impact on biological and chemical quality. The results showed that the studied minimum data set could be a suitable representative of total data set. Significant correlation between the fuzzy soil quality index and crop yield (R2= 0.72) indicated the index had high biological significance for studied area. Fuzzy soil quality index approach (R2= 0.99) could be effectively utilized as a tool leading to better understanding soil quality changes. This is a first trial of creation of a universal index of soil quality undertaken.

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