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    Studies on Ground Corn Flowability as Affected by Particle Size and Moisture Content

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    Corn is the primary feed grain in the U.S., and it accounts for more than 90 percent of total feed grain production and use. Besides this, corn is the primary input for the U.S. ethanol industry. This results in tremendous infrastructure for handling and storage of corn and byproducts throughout the year. The flow properties of ground corn, which is a principal ingredient of animal feed, are very complex in nature. Many physical and chemical properties viz. angle of repose, bulk density, moisture of the product, protein content in the surface layer, etc. affects the flow properties of corn and its products. Flow through a hopper is a typical example of complex flow. Bridging or caking of feed material in feed hoppers are common problems, and many times blocks the flow completely leaving animals without feed. Daily changes in temperature and relative humidity affect the equilibrium moisture content of feed. Size of corn particles affect angle of repose, bulk density and cohesive forces between particles, and thus flow characteristics of the feed. In this study, flow characteristics of ground corn were examined as functions of particle size and moisture content. Feed utilization was historically maximum (i.e. minimum ratio of feed consumption to weight gain), when mean particle size diameter is about 822 microns for roller milled corn flour. In recent times, livestock producers have found that feed efficiency can increase as particle size decreases. Furthermore, excess moisture makes flour sticky and hampers free sliding of particles over each other during flow. Keeping this in view, different combinations of particle sizes and product moisture content were studied with the objectives of understanding and enhancing corn flour flowability

    Biomass and yield data of monocultures and mixtures for the different treatment combinations

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    Biomass and yield data of monocultures and mixtures for the different treatment combination

    Soil data on landscape function analysis indices and soil physio-chemical attributes from 29 semi-arid Stipa tenacissima steppes

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    Soil data on landscape function analysis indices and soil physio-chemical attributes from 29 semi-arid Stipa tenacissima steppe

    Appendix E. Eigenvalues from a principal components analysis of the soil variables evaluated as desertification surrogates.

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    Eigenvalues from a principal components analysis of the soil variables evaluated as desertification surrogates

    Appendix G. Raw values of the soil variables employed as desertification surrogates.

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    Raw values of the soil variables employed as desertification surrogates

    Appendix H. Summary of the test conducted to evaluate whether the lack of support for power laws observed is related to stochasticity in the presence or absence of large patches due to low sample sizes.

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    Summary of the test conducted to evaluate whether the lack of support for power laws observed is related to stochasticity in the presence or absence of large patches due to low sample sizes

    Appendix D. Relationships between the number of patches and their size (in logarithmic scale) found in some of the studied sites.

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    Relationships between the number of patches and their size (in logarithmic scale) found in some of the studied sites

    Appendix B. View of the vegetation in some of the studied Stipa tenacissima steppes.

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    View of the vegetation in some of the studied Stipa tenacissima steppes

    Appendix F. Spearman correlations between main abiotic features of the study sites and the components extracted from a principal component analysis.

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    Spearman correlations between main abiotic features of the study sites and the components extracted from a principal component analysis
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