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Articles 1 - 5 of 5
Full-Text Articles in Plant Sciences
Spatial Variation Of Protein, Oil, And Starch In Corn, Samuel G. Mcneill, Michael D. Montross, Scott A. Shearer
Spatial Variation Of Protein, Oil, And Starch In Corn, Samuel G. Mcneill, Michael D. Montross, Scott A. Shearer
Biosystems and Agricultural Engineering Faculty Publications
Significant spatial yield variations are known to exist in cornfields with different soil types, topsoil depth, and other variables. Similarly, variations might also be found among the highly valued chemical components (oil, protein, and starch) in corn kernels due to local differences in soil type, fertility, acidity/pH, organic matter, etc. This study quantified the spatial variability of protein, oil, and starch content of corn from two conventional cornfields and two high-oil cornfields. Whole ears were harvested by hand from 20 to 40 randomly selected locations within each field. A differential global positioning system (DGPS) receiver recorded the location of each …
Airflow Resistance Of Seeds At Different Bulk Densities Using Ergun's Equation, Marek Molenda, Michael D. Montross, Samuel G. Mcneill, Jozef Horabik
Airflow Resistance Of Seeds At Different Bulk Densities Using Ergun's Equation, Marek Molenda, Michael D. Montross, Samuel G. Mcneill, Jozef Horabik
Biosystems and Agricultural Engineering Faculty Publications
Airflow resistance of grains and oilseeds has been extensively studied. Traditionally the data has been presented using Shedd’s curves. However, this assumes that airflow resistance is independent of grain depth. Grain undergoes compaction during storage that changes the bulk density, porosity, and therefore the airflow resistance. Ergun’s equation is a function of particle size and porosity of the granular material. Airflow resistance by Ergun’s equation was used to predict the pressure drop across a column of corn, soft white winter wheat, soft red winter wheat, and soybeans at three moisture content levels and two bulk densities. The maximum root mean …
Permeability Of Corn, Soybeans, And Soft Red And White Winter Wheat As Affected By Bulk Density, Michael D. Montross, Samuel G. Mcneill
Permeability Of Corn, Soybeans, And Soft Red And White Winter Wheat As Affected By Bulk Density, Michael D. Montross, Samuel G. Mcneill
Biosystems and Agricultural Engineering Faculty Publications
Darcy’s law is a function of viscosity, permeability, and velocity and can be used to predict the airflow resistance in granular materials at low air velocities. Permeability also governs the magnitude of natural convection currents during periods of non-aerated grain storage. The permeability of corn, soybeans, soft white winter wheat, and soft red winter wheat were measured as a function of bulk density and moisture content. Air was passed through a column of grain and the flow rate and pressure drop measured. Bulk density and kernel density were also measured to determine the porosity of grain in the test column. …
Crop Yield Response To Precision Deep Tillage, Larry G. Wells, Timothy S. Stombaugh, Scott A. Shearer
Crop Yield Response To Precision Deep Tillage, Larry G. Wells, Timothy S. Stombaugh, Scott A. Shearer
Biosystems and Agricultural Engineering Faculty Publications
Experimental precision deep tillage was applied at three sites in central Kentucky with relatively well-drained silt loam soils in no-till crop production. Fields were divided into 0.4 ha (1 ac) grid cells using DGPS mapping. Assessment of soil compaction by machinery traffic was made using multiple soil cone penetrometer measurements and expressed as cone index (CI). Corn, wheat, and soybean yields were depressed in grid cells with CIavg ≥ 1.5 MPa (218 psi) prior to application of tillage treatments at sites 1 and 3, whereas at site 2, where most of the highest average CI values ranged from 1.44 …
Aeration Strategies And Fan Cost Comparisons For Wheat In Mid-South Production Regions, Thomas C. Bridges, Michael D. Montross, Samuel G. Mcneill
Aeration Strategies And Fan Cost Comparisons For Wheat In Mid-South Production Regions, Thomas C. Bridges, Michael D. Montross, Samuel G. Mcneill
Biosystems and Agricultural Engineering Faculty Publications
Numerous factors influence the sizing of aeration fans for summer-harvested crops. Thirty years of weather data for Lexington, Kentucky, were analyzed and the cost of aeration was compared for two axial fans (afan1, afan2) and one centrifugal fan (cfan1). Aeration costs were defined as the sum of the following components: the cost of owning the fan, the cost of electricity for operating the fan, a cost for wheat shrinkage during aeration, and a cost for dry matter loss (DML). The fans were selected to deliver airflow rates of approximately one, two, and three times the recommended aeration rate of 0.11 …