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<title>Biological Systems Engineering: Papers and Publications</title>
<copyright>Copyright (c) 2013 University of Nebraska - Lincoln All rights reserved.</copyright>
<link>http://digitalcommons.unl.edu/biosysengfacpub</link>
<description>Recent documents in Biological Systems Engineering: Papers and Publications</description>
<language>en-us</language>
<lastBuildDate>Tue, 30 Apr 2013 07:00:13 PDT</lastBuildDate>
<ttl>3600</ttl>








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<title>The Homemade Windmills of Nebraska</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/296</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/296</guid>
<pubDate>Mon, 14 Jan 2013 12:37:51 PST</pubDate>
<description>
	<![CDATA[
	<p><em>[A classic work on vernacular architecture and agricultural engineering.]</em></p>
<p>While engaged upon the preparation of a paper treating of the relations of the homemade windmills of our State to its agriculture, the writer finds such great and increasing demand for some short and immediate report on the subject, that he is led at the request of  correspondents to publish the following brief preliminary paper, awaiting the time when a systematic and formal report may be possible.</p>
<p>lt is not the writer's object or intention to offer our citizens advice—for he is the one who is under instruction—but rather to bring together views of a number of mills, and to compile facts about their uses, construction, cost, and durability, which may be of possible use to prospective builders, and by which they may be enabled to select the design which seems to them least faulty, or best suited to their individual wants.</p>
<p>In the judgment of the writer, whose seven years of residence has enabled him to visit nearly every corner of the State, this is an important agricultural movement, and is worthy of much fuller treatment than is possible within the scope of this paper.</p>
<p>The importance of this movement, inaugurated by our inventive farmers, is made manifest in that many acres of garden truck, fruit land, and even farm land are irrigated; that stock is supplied with water; that ranchmen and sheep herders are benefited; that dairy products are increased and improved; and that the comfort of the village and the rural home is often enhanced. The merit of homemade mills has enjoyed such prompt recognition that they are going up daily. Not to the detriment, we are happy to say, of those important adjuncts to the farm, the shopmade mills, but in addition to them. . . .</p>
<p>The towns in the Platte valley are each of them oftentimes windmill centers about which are often clustered twenty to thirty or more mills of homemade design. Columbus, Grand Island, Kearney, Overton, Cozad, Lexington, Gothenburg, Ogalalla, and intermediate and adjacent towns are, in a way, each a center for homemade mills as well as other forms of water lifters. Those at Grand Island are especially numerous as may be better appreciated from the fact that we were unable to see them all after having driven for four days among the excellent mills designed and built by the German farmers living around this growing city.</p>
<p>As said before, the first mill sets the style in mills for a community. Accordingly in certain German settlements we find the old-fashioned Holland mills, more or less modified, until they little resemble the original or mother mill.</p>
<p>In other communities especially in eastern Nebraska, the Jumbo or "go-devil" mill is the prevailing form. In central Nebraska, and well to the west, the type of homemade mill known as the Battle-ax is plainly the prevailing type, and it is a first rate form of mill. Besides there are a variety of other designs to be described later in a more specific manner.</p>
<p>Includes 78 figures (pen & ink drawings).</p>

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<author>Erwin Hinckley Barbour</author>


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<title>MAPPING SPATIALLY INTERPOLATED PRECIPITATION, REFERENCE EVAPOTRANSPIRATION, ACTUAL CROP EVAPOTRANSPIRATION, AND NET IRRIGATION REQUIREMENTS IN NEBRASKA: PART I. PRECIPITATION AND REFERENCE EVAPOTRANSPIRATION</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/295</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/295</guid>
<pubDate>Tue, 08 Jan 2013 10:27:56 PST</pubDate>
<description>
	<![CDATA[
	<p>Precipitation and reference evapotranspiration are two important variables in hydrologic analyses, agricultural crop production, determining actual crop evapotranspiration and irrigation water requirements, and irrigation management. Both variables vary in space and time, and the weather networks that measure or quantify and report both variables are too sparse for practical applications by water resources planners, managers, and irrigators. Long-term (1986- 2009) average annual (January to December), seasonal (growing season, May to September), and monthly (May, June, July, August, and September) precipitation and Penman-Monteith-estimated alfalfa-reference evapotranspiration (ET<sub>ref</sub>) were spatially interpolated and mapped for all 93 counties in Nebraska using the spline interpolation technique in ArcGIS. Precipitation gradually increased from the western part and southwest corner (zone 1) to the eastern part (zone 4) of the state. Long-term average county annual precipitation ranged from 325 to 923 mm, with a statewide mean of 581 mm. The long-term average seasonal precipitation showed a similar trend as the annual precipitation and ranged from 215 to 601 mm, with a statewide average of 380 mm. Based on the annual average precipitation data, there was an approximately 30 mm decrease in precipitation for every 40 km from east to west. Seasonal and annual precipitation were inversely proportional to elevation with high coefficients of determination (R<sup>2</sup> = 0.94 for annual and R<sup>2</sup> = 0.88 for seasonal). Annual precipitation decreased between 18 and 131 mm for every 100 m increase in elevation. Seasonal precipitation decreased between 11 and 72 mm for every 100 m increase in elevation. The long-term statewide average annual ET<sub>ref</sub> was 1,400 mm, with significant differences across the state: 1,662 mm (zone 1), 1,542 mm (zone 2), 1,350 mm (zone 3), and 1,285 mm (zone 4). The statewide long-term average seasonal ET<sub>ref</sub> was 883 mm, with a maximum of 1,087 mm and minimum of 684 mm. The maximum monthly ET<sub>ref</sub> of 268 mm was observed in July, and the minimum value of 12 mm was observed in December. The annual ET<sub>ref</sub> increased by 47 mm for every 100 m increase in elevation, and the seasonal ET<sub>ref</sub> increased by 29 mm for every 100 m increase in elevation. Spatially interpolated maps of precipitation and ET<sub>ref</sub> can provide important background information and physical interpretation of precipitation and ET<sub>ref</sub> for climate change studies in the region, which can lead to the ability to take proactive steps to balance water supply and demand through various available methods, such as changing cropping patterns to implement cropping systems with lower water demand, reduced tillage practices to minimize unbeneficial water use (soil evaporation), implementing newer drought-tolerant crop hybrids and cultivars, implementing deficit irrigation strategies, and initiating and deploying more aggressive and effective irrigation management programs.</p>

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<author>Vivek Sharma et al.</author>


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<title>APPLICATION OF GIS AND GEOGRAPHICALLY WEIGHTED REGRESSION TO EVALUATE THE SPATIAL NON‐STATIONARITY RELATIONSHIPS BETWEEN PRECIPITATION VS. IRRIGATED
AND RAINFED MAIZE AND SOYBEAN YIELDS</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/294</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/294</guid>
<pubDate>Tue, 08 Jan 2013 10:23:33 PST</pubDate>
<description>
	<![CDATA[
	<p>Understanding the relationship between the spatial distribution of precipitation and crop yields on large scales (i.e., county, state, regional) while accounting for the spatial non‐stationarity can help managers to better evaluate the long‐term trends in agricultural productivity to make better assessments in food security, policy decisions, resource assessments, land and water resources enhancement, and management decisions. A relatively new technique, geographically weighted regression (GWR), has the ability to account for spatial non‐stationarity with space. While its application is growing in other scientific disciplines (i.e., social sciences), the application of this new technique in agricultural settings has not been practiced. The geographic information system (GIS), along with two different statistical techniques [GWR and conventional ordinary least square regression (OLS)], was utilized to analyze the relationships between various precipitation categories and irrigated and rainfed maize and soybean yields for all 93 counties in Nebraska from 1996 to 2008. Precipitation was spatially interpolated in ArcGIS using a spline interpolation technique with zonal statistics. Both measured and GWR‐ and OLS‐predicted yields were correlated to spatially interpolated annual (January 1 to December 31), seasonal (May 1 to September 30), and monthly (May, June, July, August, and September) precipitation for each county. Statewide average annual precipitation in Nebraska from 1996 to 2008 was 564 mm, with a maximum of 762 mm and minimum of 300 mm. Mean precipitation decreased gradually from May to September during the growing season. County average yields followed the same temporal trends as precipitation. When the OLS regression model was used, there was a general trend of linear correlation between observed yield and long‐term average mean annual total precipitation with a varying coefficient of determination (R<sup>2</sup>). For rainfed crops, 67% of the variability in mean yield was explained by the mean annual precipitation. About 23% and 17% of the variability in mean yield was explained by mean annual precipitation for irrigated maize and soybean, respectively. However, the performance of the GWR technique in predicting the yields from spatially interpolated precipitation for irrigated and rainfed maize and soybean was significantly better than the performance of the OLS model. For both rainfed maize and soybean, 77% to 80% of the variation in yield was explained by the mean annual precipitation alone. For irrigated crops, 42% of the variation in the yield was explained by the mean annual precipitation. For rainfed crops, there was a strong correlation between seasonal precipitation and yield, with R2 values of 0.73 and 0.76 for maize and soybean, respectively. The mean annual total precipitation was a better predictor of rainfed maize yield than rainfed soybean yield. On a statewide average, July precipitation as a predictor had the greatest correlation with yields of both maize and soybean. June, July, and August precipitation had greater impact on maize yield than on soybean under rainfed conditions due to more sensitivity of maize to water stress than soybean. For irrigated yields, July precipitation had more impact on soybean yield than on maize. The performance of the GWR technique was superior to the OLS model in analyzing the relationship between yield and precipitation. The superiority of the GWR technique to OLS is mainly due to its ability to account for the impact of spatial non‐stationarity on the precipitation vs. yield relationships.</p>

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<author>Vivek Sharma et al.</author>


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<title>Yield Comparisons Between Continuous
No-Till and Tillage Rotations</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/293</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/293</guid>
<pubDate>Tue, 23 Oct 2012 14:01:05 PDT</pubDate>
<description>
	<![CDATA[
	<p>Continuous use of no-till planting systems may result in reduced yields, especially on finer textured soils that tend to be poorly drained. Soil compaction and poor soil aeration have been identified as possible factors contributing to the lower yields. Research conducted to evaluate tillage rotations on these soils shows that periodic use of the moldboard plow can result in statistically higher yields as compared to continuous no till. However, use of chisel plow and disk tillage systems following three years of continuous no-till did not result in yield increases. A relationship between cone penetrometer index and yield indicates a trend toward lower yield with higher index values with continuous no-till having the highest index.</p>

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</description>

<author>Elbert C. Dickey et al.</author>


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<title>Wells and Ponds:
Water Quality
and Supply</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/292</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/292</guid>
<pubDate>Tue, 23 Oct 2012 13:59:14 PDT</pubDate>
<description>
	<![CDATA[
	<p><strong>FARM WELLS IN WASHINGTON COUNTY ...................... 1</strong></p>
<p>Study Area Description ................................. 4</p>
<p>Field and laboratory Procedures. . . . . . . . . . . . . . . . . . . . . . . . . . 9</p>
<p>Soil and Groundwater Measurements ...................... 10</p>
<p>Well Water Measurements ............................... 15</p>
<p>Summary ............................................ 17</p>
<p><strong>PONDS IN WASHINGTON AND POPE COUNTIES ................. 17</strong></p>
<p>Ponds in Washington County ............................ 17</p>
<p>Ponds and a Lake in Pope County ......................... 25</p>
<p>Summary ............................................ 30</p>
<p><strong>Bibliography ............................................. 31</strong></p>
<p><strong>Appendix ............................................... 34</strong></p>
<p>This bulletin is one of six publications growing out of a four-and a- half-year study of nitrogen as an environmental quality factor. Although the study, including publication costs, was supported principally by a grant from the Rockefeller Foundation, the effort was initiated through a grant from the Illinois Agricultural Association. This phase of the study was supported through staff assistance provided by a number of state agencies but in particular by the Illinois Agricultural Experiment Station and the Illinois State Water Survey.</p>
<p>Three other bulletins in the series have been published: "Nitrates, Nitrites, and Health," Bulletin 750; "Environmental Decision Making: The Role of Community Leaders," Bulletin 756; and "Economic Effects of Controls on Nitrogen Fertilizer," Bulletin 757. One final bulletin will deal with the management of nitrogen in crop production. A book on nitrogen in relation to food, environment, and energy is also being prepared as part of the series.</p>
<p>E. C. Dickey is a graduate assistant and W. D. Lembke is a professor in the Department of Agricultural Engineering, College of Agriculture, University of Illinois at Urbana-Champaign.</p>
<p>The authors wish to thank the following people: C. D. Baker, research associate, M. D. Stone, research assistant, and E. C. Doyle, consultant, for their research contributions; L. E. Arnold, associate forester at the Dixon Springs Agricultural Center, and W. H. Walker, formerly with the Illinois State Water Survey; T. R. Peck, professor of soil chemistry, for his help with data analysis; B. Commoner, G. Shearer, and D. Kohl, with the Center for the Biology of Natural Systems, Washington University, St. Louis, Missouri, for conducting the delta 15N tests and for offering valuable suggestions; W. D. Smith, Extension adviser in Washington County; and 0. Pannier, L. Groennert, and several other farmers who, with their families, encouraged us and allowed us to conduct research on their property.</p>

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</description>

<author>Elbert C. Dickey et al.</author>


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<title>Micro-Relief Surface Depression Storage:
Changes During Rainfall Events And Their
Application To Rainfall-Runoff Models</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/291</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/291</guid>
<pubDate>Tue, 23 Oct 2012 13:55:09 PDT</pubDate>
<description>
	<![CDATA[
	<p>Micro-relief surface depression storage is one of the dynamic components of the rainfall-runoff process. The quantification of the effect of rainfall intensity and duration on the micro-relief was the subject of this study. Micro-relief measurements were made on 88 soil bin samples before and after the application of simulated rainfall events. The surface depression changes are described with empirical equations, using basic rainfall, surface hydrology, and soil parameters and their cross products as independent variables. A rainfall-runoff model demonstrates the value of a dynamic description of the surface depression storage function.</p>

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</description>

<author>J. Kent Mitchell et al.</author>


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<title>Vegetative Filter Treatment of Livestock Feedlot Runoff</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/290</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/290</guid>
<pubDate>Tue, 23 Oct 2012 13:52:19 PDT</pubDate>
<description>
	<![CDATA[
	<p>Four vegetative filters were installed on feedlots in central and northern Illinois. Two configurations were used: channelized Dow and overland Dow. After settling for partial solids removal, runoff was applied directly to the filters and allowed to Dow from the inlet to the outlet section. Results from measurement analyses and sampling of influent, effluent, and surface Dow at intermediate points were reported.</p>
<p>Most runoff events were infiltrated completely, resulting in no filter discharge. Runoff from larger events was partially discharged. Filters removed as much as 95% of nutrients and oxygen-demanding materials from the applied runoff on a weight basis, and 80% on a concentration basis. Removal was directly related to Dow distance or contact time with the filter. Channelized Dow with greater Dow depths required greater contact time or Dow distance than shallow overland Dow to achieve the same level of treatment.</p>

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</description>

<author>Elbert C. Dickey et al.</author>


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<title>Using the Line-Transect Method
to Estimate Percent Residue Cover</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/289</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/289</guid>
<pubDate>Tue, 23 Oct 2012 13:50:21 PDT</pubDate>
<description>
	<![CDATA[
	<p>Crop residue left on the soil surface is one of the easiest and most cost-effective methods of reducing soil erosion. ~ Research in Nebraska and other Midwestern states shows ' that leaving as little as 20 percent of the soil surface covered with crop residue can reduce soil erosion by as much as one half of what it would be from residue-free conditions. Greater amounts of residue cover further limit soil erosion, <em>Figure 1</em>.</p>
<p>Residue reduces erosion in two ways. First, the residue dissipates raindrop impact energy, reducing the amount of soil that is detached. Residue also forms a series of intricate obstructions or small darns that slows any flowing water. This reduces the amount of soil that can be transported. (Refer to NebGuide G8I-544,<em> Residue Management for Soil Erosion Control</em>, for further details on the erosion process and the benefits of residue cover.)</p>
<p>Historically, the term "conservation tillage" was used to describe any tillage and planting system that did not use a moldboard plow.</p>
<p>The <strong>current</strong> definition of conservation tillage that has been adopted by the Soil Conservation Service specifies that at least 30 percent of the soil surface must be covered with crop residue following planting to reduce soil erosion by water. So when a Conservation Plan indicates conservation tillage will be practiced, the producer has agreed to leave a minimum of a 30 percent cover after all tillage and planting operations have been completed.</p>
<p>Many Conservation Plans specify that crop residue cover left after planting will be the primary erosion control method. The required amount of cover ranges from 30 percent (conservation tillage) to as much as 85 percent</p>

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<author>David P. Shelton et al.</author>


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<title>Tillage, Residue and Erosion on
Moderately Sloping Soils</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/288</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/288</guid>
<pubDate>Tue, 23 Oct 2012 13:47:39 PDT</pubDate>
<description>
	<![CDATA[
	<p>Tillage treatments leaving 20% or more of the soil surface covered with residue reduced soil erosion by at least 50% of that which occurred from a moldboard plow system. No-till had the least erosion and tended to have the lowest cumulative runoff. These results were based on rainfall simulation tests on six tillage treatments used on both 5 and 10% slopes in continuous corn production.</p>

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</description>

<author>Elbert C. Dickey et al.</author>


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<title>Tillage Systems for
Row Crop Production</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/287</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/287</guid>
<pubDate>Tue, 23 Oct 2012 13:46:00 PDT</pubDate>
<description>
	<![CDATA[
	<p>Selecting the tillage system best suited to a particular farming situation is an important management decision. Formerly, the traditional system was a moldboard plow operation followed by several secondary tillage operations before planting. This system can be appropriate for poorly drained soils having little or no slope and low erosion potential. However, plowing has several disadvantages . The potential for soil erosion is high on sloping lands, and labor and fuel requirements can be substantially higher than with other tillage and planting systems.</p>
<p>Today, conservation tillage systems are used to reduce preplant tillage operations, thus reducing soil erosion and moisture loss while saving labor and fuel. The label "conservation tillage" represents a broad spectrum of farming methods, and is most often defined by the amount of residue cover remaining on the soil surface. The minimum amount recommended is 20 to 30 percent after planting. Research in Nebraska and other Midwestern states has shown that leaving at least this much residue will reduce erosion by more than 50 percent of that occurring from a cleanly tilled field. To achieve effective erosion control, this minimum residue cover should be maintained during the critical soil erosion period between spring seedbed preparation and crop canopy establishment.</p>
<p>Conservation tillage does not necessarily require new equipment. Most conventional farm implements can be used. For corn, grain sorghum, or wheat residue, one or two passes with a field cultivator, disk, or chisel plow will usually leave more than the 20 percent minimum cover. Additional operations reduce the amount of residue, and thus reduce erosion control. Other tillage and planting systems such as ridge-plant (till-plant) and no till leave even more residue, and thus offer greater erosion control. However, no-till planting is the only method that consistently leaves the minimum surface cover in the more fragile and less abundant soybean residue.</p>
<p>No single tillage system is best for all situations at all times. Selecting the best tillage system for a particular soil and cropping situation requires matching the operation to the crop sequence, topography, and soil type. Rotating systems to coincide with crop rotations often provides an excellent combination. For example, a no till system could follow soybeans while a chisel or disk system might follow corn. This tillage rotation provides the best erosion control following soybeans, and provides an opportunity for some tillage in the less fragile and more abundant corn residue.</p>

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<author>Elbert C. Dickey et al.</author>


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<title>Tillage Systems
For Row Crop Production</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/286</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/286</guid>
<pubDate>Tue, 23 Oct 2012 13:43:43 PDT</pubDate>
<description>
	<![CDATA[
	<p>Selecting a tillage system that is best suited to a particular farming situation is an important management decision. In the past, a crop producer's primary concerns were field capacity and the costs of owning and operating equipment. However, with rapidly increasing energy costs, alternative tillage systems are being carefully evaluated and selected by more producers.</p>
<p>Previously, the most common tillage system included a moldboard plow to turn residue under either in the fall or spring. Following plowing, spring tillage normally included one or more shallow diskings to kill weeds, incorporate fertilizer and pesticides, and provide loose soil for seed. Other light tillage operations, including field cultivation and harrowing, were also conducted to provide a finely pulverized, weed free, seedbed. Today, preplant tillage operations are being reduced on many farms. Labor, fuel and equipment costs, better erosion control, moisture conservation, and more timely planting are all reasons for the trend toward reduced tillage operations.</p>
<p>The wide array of tillage and planting systems available today provides an opportunity to match the tillage system to specific soil and cropping conditions. Six different tillage systems are described here to aid in tillage system selection.</p>
<p><strong>Tillage System Descriptions</strong></p>
<p><strong>Moldboard Plowing</strong>. Fall or spring moldboard plowing has been an accepted tillage operation primarily because of soil pulverization and nearly complete residue incorporation (<em>Figure 1</em>). When followed by one or two spring diskings, moldboard plowing provides an excellent seedbed and allows fertilizer and pesticide incorporation before planting. Even though the moldboard plow buries weed seeds, postemergent cultivation for weed control is often needed. Fall plowing also speeds up soil drying and warming in the spring, thus avoiding delays in spring tillage and planting on soils that dry slowly.</p>
<p>Fall moldboard plowing has often been used to reduce the number of spring tillage operations. Poor weather conditions in the spring may cause crops to be planted late because of insufficient time to plow and prepare the seedbed. The primary disadvantage of fall plowing, however, is the potential for soil erosion throughout the winter and early spring because no surface residue is available to protect the soil.</p>
<p>Spring plowing not only reduces the potential for wind and water erosion, but also provides winter grazing for livestock. Spring labor and time shortages, however, often offset these advantages. Furthermore, spring plowing may produce clods, which require an extra, unplanned tillage operation to develop a desirable seedbed. Excessive soil moisture loss, especially during dry years, is another disadvantage with spring plowing.</p>

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<author>Elbert C. Dickey et al.</author>


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<title>Tillage Influences on Erosion During Furrow Irrigation</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/285</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/285</guid>
<pubDate>Tue, 23 Oct 2012 13:41:11 PDT</pubDate>
<description>
	<![CDATA[
	<p>Erosion and runoff from furrow irrigation of corn was measured for three conventional and three reduced tillage systems in 1981 and 1982. The plots were located on a Hastings silt loam soil having a 0.5% slope and a 366 m furrow length. Erosion was the least for slot-planting and greatest for the chisel system, ranging from 20 to 340 kg/ha, respectively, for the first 45 min of runoff during the first irrigation. Erosion from the fourth irrigation was about 75% less than from the first irrigation. Cumulative runoff after 45 min of runoff was similar for all treatments. Nutrient losses were minimal for all irritations monitored. For most tillage treatments, no differences were measured between non-wheel and wheel track furrows for cumulative soil loss, erosion rate, sediment concentration, runoff amount and runoff rate.</p>

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<author>Elbert C. Dickey et al.</author>


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<title>Tillage Factors Affecting Corn Seed Spacing</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/284</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/284</guid>
<pubDate>Tue, 23 Oct 2012 13:36:59 PDT</pubDate>
<description>
	<![CDATA[
	<p>An on-farm survey was conducted in Nebraska to determine factors affecting corn seed spacing uniformity. Statistical analysis indicated that relative surface roughness, amount of residue present, amount of preplant tillage, and tillage system were important factors affecting uniformity. Subsequently, replicated tillage plots at eight locations were used to evaluate seed spacing uniformity with different planters and tillage systems. Seed spacing coefficient of variation and a planter index developed showed conservation tillage does not significantly reduce seed spacing uniformity.</p>

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<author>Paul J. Jasa et al.</author>


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<title>Tillage And Planting System, Stalk Chopper, And Knife
Applicator Influences On Corn Residue Cover</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/283</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/283</guid>
<pubDate>Tue, 23 Oct 2012 13:34:06 PDT</pubDate>
<description>
	<![CDATA[
	<p>Percent corn (<em>Zea mays</em> L.) residue cover remaining on the soil surface after planting was measured for 11 tillage and planting systems that included combinations of the use, and timing, of a stalk chopper and/or a knife-type fertilizer applicator. Tillage, as well as use of a stalk chopper or knife applicator, significantly reduced residue cover. Only 27 of the 69 stalk chopper/knife applicator/tillage and planting system treatment combinations that were evaluated could be classified as conservation tillage by having at least 30% residue cover remaining after planting.</p>

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<author>David P. Shelton et al.</author>


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<title>The Cost of Misapplication of Herbicides</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/282</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/282</guid>
<pubDate>Tue, 23 Oct 2012 13:30:38 PDT</pubDate>
<description>
	<![CDATA[
	<p>A field survey of 103 private herbicide applicators was conducted during the spring of 1986 in 12 central and eastern Nebraska counties. The results showed that only 30% of the cooperators were applying herbicides within 5% of their intended application rate. Twenty-six percent of the cooperators over-applied herbicides during a single application, with an average cost due to misapplication of $3.11/ha ($1.26/a). If these values were extended over Nebraska, $4.26 million are expended for extra herbicides which were not necessary. The average cost of over application was in excess of $570 per application. Forty-four percent of the cooperators under-applied herbicides spending $3.06/ha ($1.24/a) less than anticipated. However, neither of these values include the potential cost of crop or environmental damages, or possible crop yield reductions due to improper rate of herbicide application.</p>

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<author>Robert Grisso et al.</author>


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<item>
<title>Surface Cover from Corn Residue on Sandy Soils</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/281</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/281</guid>
<pubDate>Tue, 23 Oct 2012 13:26:48 PDT</pubDate>
<description>
	<![CDATA[
	<p>Corn residue left as surface cover after land preparation and planting by various combinations of tillage implements and surface planters, respectively, was measured on four research/ demonstration sites with sandy soils in Nebraska. Surface cover ranged from 51 to 80% for the no-till treatments to 14 to 53% for the twice-disked treatments. The wide range in cover was due to the amount of antecedent residues from the previous crop and the soil type which ranged from sandy loam to tine sands. Other tillage implements included a rolling cultivator, sweep-plow, and mulch-treader.</p>

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</description>

<author>R. Todd et al.</author>


</item>






<item>
<title>Subsoiling, Contouring, And Tillage Effects
On Erosion And Runoff</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/280</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/280</guid>
<pubDate>Tue, 23 Oct 2012 13:22:30 PDT</pubDate>
<description>
	<![CDATA[
	<p>A study to evaluate the effectiveness of subsoiling on reducing soil erosion and water runoff from continuous com production was conducted. A rotating boom rainfall simulator was used on replicated treatments having either preplant in-row subsoiling or postplant between-row subsoiling used in both tilled and untilled surface conditions. Tilled and untilled treatments without subsoiling were used as checks. These six treatments were used up-and-downhill and on the contour.</p>
<p>Subsoiling reduced the rate of water runoff but did not significantly reduce the soil erosion rate after equilibrium had been reached between water application and runoff rates. Surface condition and farming direction did not significantly affect runoff. However, the untilled surface treatments had about 55% less soil loss than the tilled surfaces. The contour farming direction treatments also had about 65% less soil loss than up-and-downhill farming.</p>

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</description>

<author>Paul J. Jasa et al.</author>


</item>






<item>
<title>Soils, Absorption Fields and
Percolation Tests for
Home Sewage Treatment</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/279</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/279</guid>
<pubDate>Tue, 23 Oct 2012 13:20:05 PDT</pubDate>
<description>
	<![CDATA[
	<p>The most common home sewage treatment system for farm and country homes is a septic tank and absorption field. In fact, about 36 percent of all American homes have such systems. The success of a septic tank and absorption field depends largely upon soil characteristics, design, and management of the system. The soil acts as a final treatment by removing bacteria, pathogens, contaminants and fine particles from the liquid septic tank effluent.</p>
<p><strong>Soil Factors that Affect Absorption Fields</strong></p>
<p>The rate of movement of water and air through a soil, called soil permeability, is a large factor in determining how well an absorption field will function. Depth, seasonal high water table and bedrock, slope and proximity to streams or lakes are other factors that need to be considered in the layout of a septic tank and absorption field (<em>Figure 1</em>).</p>
<p>The amount of sand, silt and clay in the soil influences soil permeability. Water moves faster through sandy soils than through clay soils. However, locating an absorption field in a sandy or gravelly soil is not recommended since the septic tank effluent will not be filtered properly, especially if soil is thin and over-lies a shallow water table. Similarly, locating an absorption field in a soil having a high clay content is not recommended due to the slow permeability. Also, the clay in most Nebraska soils generally swells when wet, reducing permeability, which limits the effectiveness of the absorption field.</p>
<p>The depth to groundwater is an important consideration not only for groundwater protection, but also for insuring efficient operation of systems. In areas that have a seasonal high water table, sewage effluent can easily contaminate the groundwater, especially if the soil above the groundwater is sand or gravel. In other areas there may be a seasonal high water table due to a clay layer which inhibits downward flow. In this case, adding septic effluent to the soil will bring the water table even closer to the surface during the wet season. Effluent in this perched water can cause odor and result in the spread of disease.</p>
<p>Generally speaking, a groundwater table should be at least 4 ft (1.2 m) below the absorption field during the wettest season. Similarly, the depth of soil should be greater than 4 ft (1.2 m) from the bottom of the absorption trench to coarse sands and gravels or to bedrock. This thickness is needed for adequate filtration and purification. In sandy or gravelly soils, additional depth to the water table will help prevent contamination.</p>
<p>Soil slopes of less than 15 percent usually do not create a serious problem in laying out or maintaining an absorption field. However, where slope exceeds 5 to 6 percent, extra caution should be taken to place absorption trenches on the contour. On steeper slopes, laying out and maintaining absorption fields is more difficult, especially where the downward flow of effluent is intercepted by a horizontal layer of clay or rock. Interception of these flows will cause effluent to move horizontally and to seep to the soil surface.</p>
<p>Septic systems should be located at least 50 feet (15m) from streams or lakes. This is important to insure proper filtration and the removal of disease organisms before septic effluent reaches surface waters. Never locate an absorption field in a flood-prone area. Occasional flooding reduces the efficiency of the system, while frequent flooding could destroy its effectiveness as well as contaminate the flowing stream.</p>

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</description>

<author>Phillip W. Harlan et al.</author>


</item>






<item>
<title>Soil Erosion from Tillage Systems Used
in Soybean and Corn Residues</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/278</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/278</guid>
<pubDate>Tue, 23 Oct 2012 13:17:01 PDT</pubDate>
<description>
	<![CDATA[
	<p>Rainfall simulation techniques were used to compare soil losses from various tillage systems used on plots where corn and soybeans had been grown the previous season. The two year study was conducted on a silty clay loam soil with a 5% slope and on a silt loam soil with a 10% slope. Five tillage treatments, ranging from a moldboard plow system to no-till, were evaluated for each residue at each site. Tillage and planting operations were conducted up-and-down hill on replicated plots. Total soil loss following 63.5 mm of rainfall applied during a 60 min period averaged more than 40% greater from the soybean residue plots than from the corn residue plots for equivalent tillage treatments on the 5% slope. For the 10% slope, the soil loss ranged from 50% to about 12 times greater for the soybean residue. Equivalent tillage treatments in soybean residue had about 40% less surface cover relative to corn residue, which contributed to the difference in soil erosion. Relationships between residue cover and soil loss showed that a 20% cover of either soybean or corn residue generally reduced soil loss by at least 50% of that which occurred from cleanly-tilled soils. Several tillage systems left more than a 20% cover in corn residue. Only no-till consistently left more than a 20% residue cover following soybeans.</p>

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</description>

<author>Elbert C. Dickey et al.</author>


</item>






<item>
<title>Soil Erosion from Tillage and Planting Systems
Used in Soybean Residue:
Part II - Influences of Row Direction</title>
<link>http://digitalcommons.unl.edu/biosysengfacpub/277</link>
<guid isPermaLink="true">http://digitalcommons.unl.edu/biosysengfacpub/277</guid>
<pubDate>Tue, 23 Oct 2012 13:13:49 PDT</pubDate>
<description>
	<![CDATA[
	<p>A rainfall simulator was used to compare soil losses from tillage and planting systems used in residue from soybeans. The study was conducted on a silty clay loam soil in the Wymore Series with a 5% slope and on a silt loam soil in the Nora Series with a 10% slope. Tillage and planting treatments, ranging from a moldboard plow system to no-till planting, were evaluated both up and- down hill and on the contour using replicated plots.</p>
<p>For the first rainfall event after tillage and planting, the average soil loss for all systems on the contour was 3.0 t/ha which was a 74% reduction from the average soil loss of 11.5 t/ha for tillage and planting conducted up-and-down hill. Similarly, the average soil erosion rate for systems on the contour was 9.5 t/(ha·h), a 65% reduction from the 26.2 t/(ha·h) average soil erosion rate for up-and-down hill tillage systems. All tillage systems compared showed a significant reduction in soil erosion, soil erosion rate, and sediment concentration for row direction on the contour rather than with the slope.</p>

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</description>

<author>Paul J. Jasa et al.</author>


</item>





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