99 research outputs found

    Mapping the variability of soil quality indicators in natural versus agricultural ecosystems

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    Traditionally, Kentucky agriculture has focused on crop production and soil fertility while overlooking soil quality and its dependence on land management type. This research attempted to reveal the importance of land management types and their individual effects on physical soil quality indicators. The second objective of this study was to show the variance of physical soil quality indicators across different land managements by using layered maps. Such visual representation of the data along with statistical analysis also showed which soil quality parameters are more sensitive to change in land management type. Land management types included three undisturbed grassland and undisturbed deciduous woodland fields to represent natural ecosystems, and three conventionally tilled and no-till agriculture fields to represent ecosystems. The study was conducted in silt loam soils in Lyons and Trigg counties of South Western Kentucky. Averaged soil data for individual soil parameters were mapped out for each field as vector polygons in ArcGIS. Elevation and watershed raster data layers were also added to show the relationship between soil parameters, topography, and watershed. The results showed that soil organic matter, aggregate percentage, and compaction were more sensitive indicators than macroporosity, bulk density or water holding capacity. The results also showed that natural land management types had healthier soils overall and more variability between individual fields

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    An Empirical Analysis of Agricultural Production: The Sway of Economic Growth in Nigeria

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    The study examined the impact of agricultural output on economic growth in Nigeria from 1985 to 2015 The econometrics methods of Ordinary Least Squares Cointegration and Granger causality test were employed as the main analytical techniques The Co-integration results revealed that there exists a long-run relationship between the variables The short run regression result revealed that Commercial Banks credit to the agricultural sector and the interest rate has a significant relationship with economic growth in Nigeria during the period of study While agricultural output has no significant relationship with economic growth in Nigeria during the studied period The study therefore concluded that suitable or effective agricultural output enhancement policy should be put in place by the government There should be appropriate interest rate policies that would bring about the stability of the economy and economic growth Without agricultural produce to keep the people alive as well as lubricating our machines with agricultural oil there can be no growth Everything is sustained by agriculture and without it there shall be no true living Also conscious efforts should be made by the monetary authorities with the emphasis on funding agriculture in order to increase economic growth in Nigeria This can be achieved if the government avoids mismanagement and diversifies the econom

    ANTS:Articulated Nested Telescoping Simulation

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    This paper addresses the problem of scale in simulations by investigating a novel kind of interactive simulation system which can be run on desktop machines. In this system, data is represented at various levels of abstraction. The system is navigated in such a way that the data can be viewed and modified at each of those levels. However, at deeper levels in the model, only a subset of the total system is represented in detail. This subset is generated, as the user moves down a level, out of aggregates in the level above and compressed into aggregates, when the user moves up a level. Simulation rules are applied to each level of the simulation in a modular manner, independent of the level of the simulation. This system is found to increase efficiency dramatically, since only a subset of the data is represented in detail. A certain amount of data loss inevitably occurs as a result of data compression. The system is therefore only appropriate in those cases where data precision is not of paramount importance. An interface was designed by means of the PICTIVE participatory design technique. A subset of this interface design was implemented. It was then evaluated using the constructive interaction method and was found to be generally intuitive and user friendly

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    Exaltation

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    Evaluation of Physical Soil Quality Indicators in Natural vs Agricultural Ecosystems

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    Soil quality indicators are generally used to evaluate sustainable land management in agroecosystems. The objective of this research was to evaluate the physical soil quality indicators, including water holding capacity (WHC), macroporosity, bulk density and soil compaction under two natural and two agricultural ecosystems. The study was conducted in silt loam soils in Lyons and Trigg Counties of South Western KY. Natural ecosystems included undisturbed grasslands and undisturbed deciduous woodlands while agricultural ecosystems included conventional tilled agriculture soils and no-till agriculture soils. Agricultural soils were cultivated in a corn, soy, wheat, tobacco rotation. Subsoil compaction was measured with a penetrometer. Undisturbed soil cores were sampled from topsoil at 0 - 7.5 cm and 15 – 21 cm deep to measure bulk density, macroporosity and WHC. The data was statistically measured using ANOVA single factor at α 5%. The results indicated that the range of WHC was 36.8 to 40.8%. The range of macroporosity was 34.6% to 37.5%. The range of bulk density was 1.26 to 1.74 g/cm3, with the highest average measurement observed in grasslands and the lowest in no-till systems. Subsoil compaction was between 121 to 230 psi with the highest compaction detected in conventional tilled systems and the lowest in grassland. Overall, natural ecosystems showed significantly lower compaction and higher variation across the fields compared to agricultural ecosystems; and conventionally tilled soils suffer from significantly higher soil compaction. There was no significant difference in WHC. These findings reveal that bulk density and soil compaction are more sensitive indicators than water holding capacity and macro porosity. Keywords: Bulk density, compaction, macroporosity, silt loam, water holding capacity, soil ecosystems, soil quality, soil indicators, tillage, no-til
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