We thank Kent J. Bradford and his students at the UC Davis Seed Biotechnology Center for recording seedling emergence data.

1. Preparation of the Circulating Baths and Table
<ol>
	<li>Acquire two circulating baths with reservoirs that pump at least 10 L/min to control temperature at each end of the thermogradient table. 
	NOTE: One of the circulating baths must refrigerate the reservoir while the other needs only to heat.</li>
	<li>Inspect circulating baths to make sure their filters and reservoirs are clean.</li>
	<li>Identify a location for the table and baths. Position the baths beneath the table as long as the pump can circulate fluid through the table above. Place the gradient table at a convenient height to remove lids and reach all positions on the surface. 
	NOTE: The location for the table and baths must be well ventilated, free of extreme temperatures, relatively dust free, and have access to electrical circuits to adequately power the baths and lighting system.</li>
	<li>Fill each bath to the top of the reservoir tank with a mixture of water and antifreeze (1:1 ratio) to improve heat exchange and prevent freezing. 
	NOTE: The concentration of antifreeze depends on the bath specifications and temperature of the solution. High antifreeze concentrations are not required unless subfreezing temperatures are generated. Pure antifreeze may damage certain water bath pumps.</li>
	<li>Connect the inlets and outlets of the baths with flexible tubing to the outlet and inlet pipes on the table, respectively, to create a continuous flow pattern at both the opposing warm and cold ends of the table.</li>
	<li>Use thick-walled flexible plastic tubing with inelastic walls that will not expand under pressure or kink when bent. Use collared-screw, hose clamps at the tube unions to maintain a drip-free connection when the system is pressurized. Wrap the circulation tubing with foam pipe insulation to reduce heat exchange with the surrounds.</li>
	<li>With the pipe valves open, momentarily turn on the circulating pumps to check for leaks and collapsed tubing that may reduce flow. Adjust screw clamps if leaks occur. Check lighting fixtures to ensure they are operating properly.</li>
</ol>
2. Preparation of the Table for Experimentation
<ol>
	<li>Line the bottom of the thermogradient table between gussets with hydrophilic material such as greenhouse capillary matting, paper towels, or nonglossy newspaper to distribute water more evenly.</li>
	<li>Fill the table uniformly with a growing media to below or even with the tops of the gussets. Pack the growing media tightly enough to remove air pockets that interfere with temperature equilibration. 
	NOTE: Native soil can also be used.</li>
	<li>With the table inlet and outlet pipe valves open, activate the circulating bath by setting one bath to a temperature 5 &#176;C below and the opposing bath to a temperature 5 &#176;C above the minimum and maximum desired temperatures (5 to 40 &#176;C), respectively, to account for heat loss and gain during circulation. Monitor the reservoir baths and add a mixture of water and antifreeze (ethylene glycol) as needed when the levels fall as the circulating solution fills the pipes in the table.</li>
	<li>Adjust bath temperatures until the desired growing media temperatures (5 to 40 &#176;C or other desired experimental temperatures) are achieved on the gradient table. 
	NOTE: The exact temperature is achieved through an iterative process of measuring growing media temperature and adjusting the baths until the desired growing media temperatures are reached across the table.</li>
	<li>Place temperature dataloggers at different positions on the table to record the temperatures of the growing media or soil during an experiment. The dataloggers recommended are similar in size to a miniature round wafer battery. Wrap the dataloggers in Parafilm to prevent water damage and place at experimental positions in the growing media.</li>
	<li>Wet the growing media uniformly to 70-80% of maximum water-holding capacity of the media. Wetter soils conduct heat more efficiently between gussets. 
	NOTE: Water tends to evaporate more rapidly from the warm end of the table, so more frequent applications may be required to replace evaporative losses. Maximum water holding capacity is the amount of water retained in the growing media after saturation and drainage of gravitational water for 2 days through a container with a perforated bottom. The moisture content was determined gravimetrically before and after oven drying at 105 &#176;C for 72 hr.</li>
	<li>Allow the table to equilibrate for 24 hr to ensure the desired temperatures (5 to 40 &#176;C) are reached throughout before beginning an experiment.</li>
	<li>Tilt the table by adjusting the feet at each corner until the table slopes very slightly toward the corner with the drain. This removes excess moisture, prevents wet spots on the table, and encourages uniform media moisture content. Place a container beneath the drain to catch runoff.</li>
	<li>Plant seeds in growing media and water daily or as needed to keep media moist. 
	NOTE: As an example of how germination testing may be conducted, we planted 25 seeds of tomato (Solanum lycopersicum L. cv. Legend), melon (Cucumis melo cv. Hales Best Jumbo), lettuce (Lactuca sativa L. cv. Black Seeded Simpson), and oat (Avena sativa L. cv Swan) 2 cm deep.</li>
	<li>Count the number of emerged seedlings daily to calculate mean time to emergence according to the equation: 
	&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; &#160;&#8721; (ni x ti) 
	MTE = &#8211;&#8211;&#8211;&#8211;&#8211;&#8211;&#8211;&#8211;&#8211;&#8211;&#8211;&#8211;&#8211; 
	&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; &#8721; (ni) 
	NOTE: Where ni is number of emerged seeds at time ti; t is number of days from the beginning of emergence; and &#8721; ni is total number of emerged seeds.</li>
</ol>
3. Operating the Thermogradient Table
<ol>
	<li>After adjusting the baths to the desired temperatures, replace the two thermogradient table covers, the transparent inner-acrylic sheet lids and a more substantial polyvinyl chloride (PVC) lid insulated with polystyrene, to enclose the table. Both covers in place provide the best insulating properties to reduce heat and water loss during testing. 
	NOTE: If ambient light or auxiliary lighting is mounted above the table, only the inner lid may be used to transmit light.</li>
	<li>Remove the outer lid to check the table through the inner-acrylic lids. Remove the inner lid temporarily to add water or other inputs, check temperature, or record data. 
	NOTE: At higher temperatures, water evaporates rapidly from moist soil and condenses on the bottom of the inner lid because the surface is cooler.</li>
	<li>Monitor the system closely during experiments for power outages, bath malfunctions, leaks, or excessive fluctuations in table temperatures. Monitor the bath reservoir level and periodically add fluid to replace evaporative losses.</li>
</ol>

<ol>
	<li>Chatterton, N. J., Kadish, A. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+temperature+gradient+germinator.">A temperature gradient germinator.</a> Agron. J. 61 (4), 643-644 (1969).</li><li>Clegg, M. D., Eastin, J. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+Thermogradient+generating+sand+table.">A Thermogradient generating sand table.</a> Agron. J. 70 (5), 881-883 (1978).</li><li>Evans, R. A., Young, J. A., Henkel, R., Klomp, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+low+temperature-gradient+bar+for+seed+germination+studies.">A low temperature-gradient bar for seed germination studies.</a> Weed Science. 18, 575-576 (1970).</li><li>Grime, J. P., Thompson, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+apparatus+for+measurement+of+the+effect+of+amplitude+of+temperature+fluctuation+upon+the+germination+of+seeds.">An apparatus for measurement of the effect of amplitude of temperature fluctuation upon the germination of seeds.</a> Annals of Botany. 40 (4), 795-799 (1976).</li><li>Halldal, P., French, C. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Algal+growth+in+crossed+gradients+of+light+intensity+and+temperature.">Algal growth in crossed gradients of light intensity and temperature.</a> Plant Physiol. 33 (4), 249-252 (1958).</li><li>Thompson, K., Whatley, J. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+thermogradient+apparatus+for+the+study+of+the+germination+requirements+of+buried+seeds+in+situ.">A thermogradient apparatus for the study of the germination requirements of buried seeds in situ.</a> New Phytologist. 96, 459-471 (1984).</li><li>Bergman, T. L., Incropera, F. P., Lavine, A. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Fundamentals of Heat and Mass Transfer. , (2011).</li><li>McLaughlin, N. B., Bowes, G. R., Thomas, A. G., Dyck, F. B., Lindsay, T. M., Wise, R. F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+new+design+for+a+seed+germinator+with+100+independently+temperature+controlled+cells.">A new design for a seed germinator with 100 independently temperature controlled cells.</a> Weed Research. 25, 161-173 (1985).</li><li>Webb, D. M., Smith, C. W., Schulz-Schaeffer, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Amaranth+seedling+emergence+as+affected+by+seeding+depth+and+temperature+on+a+thermogradient+plate1.">Amaranth seedling emergence as affected by seeding depth and temperature on a thermogradient plate1.</a> Agron. J. 79 (1), 23-26 (1987).</li><li>Welbaum, G. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Vegetable Production and Practices. , (2015).</li><li>Swoboda, L. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Environmental influences on subterranean termite foraging behavior and bait acceptance. , (2004).</li></ol>

The authors have nothing to disclose.

Thermogradient tables have been used for many years for conducting primarily seed germination experiments in shallow containers over a range of temperatures simultaneously. However, the experimental temperatures are limited to the table surface so the depth of temperature control is limited. Seed testing protocols conducted on traditional gradient tables end with radicle emergence on paper substrate in Petri dishes or other flat containers and do not realistically test seedling emergence and growth as would naturally occur in soil. Today seed companies often wish to assess seed vigor (the ability to germinate under less than optimum conditions) using simulated field conditions that growers will likely encounter after planting. Soil testing also exposes seeds to fungal and bacterial disease pressures not common in standardized laboratory germination tests on soilless media. When soil is placed on a flat non-gusseted table, large variations of 5 &#186;C or more were not uncommon between positions in the soil profile and table surfaces (unpublished results).
A one-dimensional gradient table with gussets was developed to improve vertical temperature control so that soil could be used in germination tests and other experiments where accurate control of soil temperature is critical. The gussets confine soil or synthetic growing media and control temperature in depth. The gussets are aluminum, the same material as the tabletop, and when welded perpendicular to the surface they provide temperature control of the space between by conductive heat transfer. The gussets can be oriented lengthwise down the table or widthwise across the table. Both designs perform similarly but the widthwise gusset orientation is convenient because the space between gussets may serve as a single experimental temperature when the gradient is properly adjusted. Horizontal orientation allows experimental units (seeds in this example) to be spaced across the table in a line next to one another. Gusset spacing can only be varied during manufacturing because gussets are welded in place so alternative positioning cannot be tested once table construction is completed. A gusset spacing of 10.9 cm was selected to accommodate shallow containers often used for seed testing in addition to soil. Closer gusset spacing may provide better temperature control but would limit the types of containers that can be used on the table.
The temperature and moisture of the growing media in the thermogradient table must be continually monitored to achieve the desired experimental conditions. Before planting, the circulating baths should be set slightly below the desired minimum and slightly above maximum temperatures than adjusted until the samples have reached the desired experimental temperatures. Approximately 24 hr should be allowed for the samples to thermal equilibrate with the gradient table. The moisture content of the growing media should be sufficient (70-80% of field capacity) for seed germination or other biological processes to proceed. The table insulation and dual lids reduce temperature fluctuation and water evaporation when in place.
The results in Table 1 compare seedling growth of 4 species at different temperatures. The growth of melon and tomato seeds began at 15 &#176;C and germinated well at 40 &#176;C explaining why they are characterized as warm-season crops10. In contrast, lettuce germinated best at low temperatures. Oat seed germinated over a broader range of temperatures than the other species (Table 1). While similar results could be obtained using a series of growth chambers in a series of coordinated experiments, the gusset design allows both germination and seedling growth to be compared over a range of soil temperatures simultaneously. Different field soils or growing media may be substituted to simulate a range of field conditions. Microbial or chemical treatments, fertilizer regimes, drought stress, and variations in light environment can be imposed across temperatures on the gradient table.
The small dataloggers recorded temperature at various positions on the table. Temperature data showed, relatively uniform temperatures in the middle of the table with greater variation, particularly at the warm end. Positioning loggers in contact with the table surface and exposed to the air on the soil surface likely accentuated the extremes. Temperatures recorded at the center position were probably more indicative of bulk soil conditions. For example, a seed planted in the soil on the gradient table between gussets to simulate field planting would only be exposed to bulk soil temperature and not the air or the table surface temperature. The moisture content and texture of soil plays a role in determining table temperatures. If the soil is dry, air spaces resist temperature change and do not effectively conduct heat from the gussets. Moist soil has few air spaces and more liquid water to effectively conduct heat through the soil profile. In this experiment, soil was maintained at 70 to 80% of its maximum water holding capacity but higher water content may have reduced soil temperature variation. Sand has as fewer large pore spaces than soils with high organic matter and thus would be expected to provide more uniform temperatures.
There was greater variation in soil temperature at the warm end of the table compared to the cold end. One possible explanation lies in the distribution of moisture across the table. Moisture tends to be retained in the cold end, while the warm end tends to dry out because of greater evaporative losses. Since water helps conduct heat, it is important that the moisture content of the table be as uniform as possible. Webb et al.9 used blotter paper to conduct water across a thermogradient table via capillary action, while newspaper worked well as a less expensive alternative in the gusseted thermogradient table. Even though gussets were lined with hydrophilic paper to add moisture distribution, keeping both the cool and warm ends uniformly wet is challenging.
Rapid evaporation at high temperatures occurs on all gradient table designs. Condensation is often a problem when container experiments are conducted on a gradient table at temperatures much above ambient because the bottom of the container is warmer than the top causing water to collect on the inner side of the cooler lid. In soil experiments on the gusseted table, water evaporated from the upper soil layers into the air above in the gusseted table. If the soil is very wet, evaporative losses at the warm end of the table may condense on the cooler inner-acrylic lid. Resting tight-fitting pieces of acrylic or polystyrene insulation directly on top of the gussets minimizes vapor exchange with the airspace above the table keeping the soil more uniformly moist and temperature constant (data not shown). When the table was covered with polystyrene insulation, temperature variation was only from 1 to 2 &#176;C through the soil profile at the temperature extremes (data not shown). However, polystyrene insulation prevents seedlings from emerging and must be removed after the initial hr of incubation for growth analyses. Another solution to prevent rapid drying of warm soils is to preferentially add more water to the warm end to compensate for evaporative losses. Hand watering is problematic because the lids must be removed and application volumes are less precise. Micro-irrigation emitters can be designed onto a gradient table and can be adjusted to preferentially apply more water to the warm end.
Thermogradient tables have the functionality and potential to serve as alternative growth chambers. When both baths are set the same, the table equilibrates to single experimental temperature for applications where a gradient is not required. Day and night light and temperature fluctuations can also be simulated using programmable circulating baths and LED grow lights. Populating the insides of the lids with LED grow lights can increase lighting intensity. The LED grow lights input minimal heat into the system and did not interfere with the gradient because similar soil temperatures were recorded with lights on and off (data not shown). The addition of lights enables plant growth and greater environmental control.
Thermogradient tables have been used primarily by the seed industry for germination studies in the past, but many other applications are possible. Insect behavior has been studied on a gradient table to determine temperature optima of certain behaviors11. Ice can be frozen on a gradient table surface for testing phenomena at subfreezing temperatures (data not shown). Gas exchange between the soil and atmosphere, including carbon dioxide evolution, is possible on a gusseted gradient table at varying water contents, soil inputs, and temperatures. Studying effects of bacterial and fungal growth in different types of media over a range of temperatures is also possible with this experimental system.

Thermogradient tables are not new and their use has been reported in the literature over several decades1-6. Early tables were developed ostensibly for laboratory seed germination testing often on paper substrate over a broad range of temperatures in a single experiment (Figure 1). There are different designs of thermogradient tables but one of the most common consists of a relatively thick rectangular sheet of metal, often aluminum for its corrosion resistance, with a loop of square pipe welded to the bottom at opposite ends. Plastic tubes connect the table in- and outlet pipes to temperature controlled, circulating baths that pump the cooled and heated fluid through the pipes on opposite ends beneath the table. The pipe conducts fluid, usually a water-antifreeze (ethylene glycol) mixture, to prevent freezing if the system is to be operated near or below freezing temperatures. Another design is to weld strips of metal together to create a fluid reservoir at each end of the table with inlets and outlets for circulation of warm and cold solutions on either end. The circulating baths can be positioned on the floor beneath the table or on a separate juxtaposed table. Electric thermogradient tables with heating coils and/or Peltier cooling modules have been built but high cost, challenges generating consistent low temperatures, and reliability issues have prevented widespread commercial use8.
The circulating fluid designs passively create a one-dimensional gradient via thermal conduction. If the aluminum plate is of uniform shape and thickness and properly insulated, heat flows uniformly from the warm to the cold end of a table establishing a continuous one-dimensional temperature gradient, following the second law of thermodynamics7. The gradient across the surface is a function of the table length and the differences between the end temperatures. The table and plumbing are usually housed in an insulated enclosure with lids for access. The enclosure isolates the table from its surroundings, creating a uniform gradient across the surface with little temperature variation. The insulated enclosure can be supported by legs or placed on a flat surface such as a table or bench. For applications where uniform temperature control is needed without a gradient, a table may be set up to produce isothermal conditions if both ends circulate fluid at the same temperature.
When the gradient table is functioning correctly, Petri dishes, sealed plastic bags, flat-bottomed containers, etc., are placed on the surface and thermo-equilibrate to the various temperatures (Figure 1). The experimental temperature in each container depends on airspaces that may exist between the container and the table surface and the thickness and insulating properties of each container. The gradient table effectively maintains sample temperatures close to the surface, but control is lost above the surface. The lack of vertical temperature control limits the types of experiments possible on a traditional gradient table.
Aluminum strips or gussets were added to the traditional gradient table design to improve temperature control above the table surface. Gussets were welded at intervals perpendicular to the table surface. The gussets facilitate convective heat flow vertically above the flat table surface. Samples placed between gussets, have temperature-regulated surfaces on three sides providing more effective temperature control. Clegg and Eastin2 placed quartz sand on a gradient table surface to create temperature control in depth. Clegg and Eastin2 also experimented with placing insulation on top of the table. Webb et al.9 placed pipes filled with soil on a table in an effort to uniformly control temperature.
The new table design reported here has nine 7.6 cm (3 inches) high gussets (aluminum strips) that are welded to the surface over the length of the table (Figure 2). LED light fixtures emitting photosynthetically active frequencies are installed on the sides of the table to support seedling growth when the table is closed. The insulated enclosure for the gusseted thermogradient table is constructed of a white PVC boards that are water, warp, and crack resistant. The purpose of this paper is to describe the new gusseted gradient table design and possible applications. 
&#160;

<table border="0" cellpadding="0" cellspacing="0" style="width:1179px;" width="1178">
	<tbody>
		<tr height="20">
			<td height="20" style="height:20px;width:463px;">Thermogradient table</td>
			<td style="width:257px;">Appalachian Machinge Inc</td>
			<td style="width:176px;"></td>
			<td style="width:283px;">Custom made, gussetted thermogradient table (schematics are included in the manuscript). The aluminum fabrication and welding were peformed by Appalachian Machinge Inc. 5304 State Rd 790, Dublin, VA 24084.&#160;</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Insulated polymer board cabinet</td>
			<td>TASCO LLC</td>
			<td></td>
			<td>The insulated polymer board cabinet containing the aluminum plate was constructed by TASCO LLC,&#160; 1440 Roanoke Street, Christiansburg, VA 24073&#160;</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Blue Hawk Folding Steel Adjustable Sawhorse</td>
			<td>Lowes Home Improvement</td>
			<td>162111</td>
			<td>Model #: 60142 Folding Steel Adjustable Sawhorses</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Circulating Refrigerated water baths or comparable units</td>
			<td>Brookfield Engineering</td>
			<td>TC-550SD</td>
			<td></td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Seeds (200 seeds)</td>
			<td>Johnny&#39;s Selected Seeds</td>
			<td></td>
			<td>Oat, lettuce, tomato, melon seeds from Johnny&#39;s Selected Seeds 955 Benton Ave, Winslow, ME 04901 or any other seed for germination testing,&#160;</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Professional 550 Grow Light&#160;</td>
			<td>SolarOasis&#160;</td>
			<td>Pro550</td>
			<td></td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">ID braided PVC tubing</td>
			<td>United States Plastics Inc.</td>
			<td>60703</td>
			<td>&#160;0.6 m pieces of 200 cm OD, 130 mm (1/2&#34;)&#160;</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Super Tech 50/50 Antifreeze/Coolant Pre-Mix</td>
			<td>Walmart</td>
			<td>1012574</td>
			<td>4 liters distilled water-antifreeze (ethylene glycol) mixture</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">WatchDog Data Loggers</td>
			<td>Spectrum Technologies Inc</td>
			<td>Model 100</td>
			<td></td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Parafilm M 4 cm wide</td>
			<td>Fisher Scientific</td>
			<td>S37440</td>
			<td></td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Container Acrylic 5 1/4&#34;x5&#34;x1 3/8&#34; plastic boxes</td>
			<td>Hoffman Manufacturing Inc</td>
			<td></td>
			<td>&#160;Hoffman Manufacturing Inc. 16541 Green Bridge Road, Jefferson, OR&#160;</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">1&#34; Collared-screw&#160;</td>
			<td>Global Industrial</td>
			<td>CS16H</td>
			<td>Global Industrial,&#160; 11 Harbor Park Drive, Port Washington, NY&#160;</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Collared Screw Worm Gear Hose Clamp</td>
			<td>Global Industrial</td>
			<td>WGB513588</td>
			<td>3/4&#34; - 1-1/2&#34; Clamping Dia. 10-Pack .&#160;</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Everbilt Model Foam Pipe Insulation</td>
			<td>Home Depot</td>
			<td>ORP11812</td>
			<td>Internet # 204760805 Store SKU # 1000031792 1 in. x 6 ft.</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Capillary Mat</td>
			<td>Farmtek</td>
			<td>106223</td>
			<td>greenhouse capillary matting - 4&#39; x 100&#39; or alternatively sheets of newspaper</td>
		</tr>
		<tr height="20">
			<td height="20" style="height:20px;">Sunshine Mix #3</td>
			<td>TerraLink</td>
			<td>3236320</td>
			<td>&#160;3.8 cubic feet compressed bale,SKU: 3236320, Germinating media</td>
		</tr>
	</tbody>
</table>

a gusseted thermogradient table to control soil temperatures for evaluating plant growth and monitoring soil processes

Thermogradient tables were first developed in the 1950s primarily to test seed germination over a range of temperatures simultaneously without using a series of incubators. A temperature gradient is passively established across the surface of the table between the heated and cooled ends and is lost quickly at distances above the surface. Since temperature is only controlled on the table surface, experiments are restricted to shallow containers, such as Petri dishes, placed on the table. Welding continuous aluminum vertical strips or gussets perpendicular to the surface of a table enables temperature control in depth via convective heat flow. Soil in the channels between gussets was maintained across a gradient of temperatures allowing a greater diversity of experimentation. The gusseted design was evaluated by germinating oat, lettuce, tomato, and melon seeds. Soil temperatures were monitored using individual, battery-powered dataloggers positioned across the table. LED lights installed in the lids or along the sides of the gradient table create a controlled temperature chamber where seedlings can be grown over a range of temperatures. The gusseted design enabled accurate determination of optimum temperatures for fastest germination rate and the highest percentage germination for each species. Germination information from gradient table experiments can help predict seed germination and seedling growth under the adverse soil conditions often encountered during field crop production. Temperature effects on seed germination, seedling growth, and soil ecology can be tested under controlled conditions in a laboratory using a gusseted thermogradient table.

Shallow containers, like Petri dishes, may be positioned on a traditional one-dimensional gradient table so the effects of multiple experimental temperatures can be assessed simultaneously (Figure 1). To increase the diversity of research applications possible on a thermogradient table, 7.6 cm (3 inches) tall aluminum gussets were stitch welded alternately on both sides so each gusset stands perpendicular to the surface 10.9 cm (4.2 inches) apart in intimate contact with the surface (Figure 2). While a broad range of gusset spacings are possible, 10.9 cm was selected to accommodate square plastic &#34;sandwich&#34; boxes or similar sized containers often used to test germination of small seed species or other biological specimens (Figure 3). Unlike a conventional flat gradient table, the gusset design accommodates soils and other amorphous friable materials for controlled temperature experiments. To remove excess water, a screened and filtered drain hole was built into one corner. Shims or &#34;feet&#34; at each corner can be adjusted to tilt the table to facilitate gravity drainage. A small gap between the gusset ends and the outside of the table allows water to flow along one side to the corner drain.
Soil temperatures were measured at 70-80% soil moisture content after the baths had been circulating at constant temperature for 24 hr with the lids in place (Figure 4). The temperature variation measured after a 12 hr equilibration period at four different positions across the table was 0.4 &#176;C or less (Figure 4). Variation in the soil profile temperatures measured at three soil depths was greater at the extremes. At a target temperature of 13 &#176;C, dataloggers placed on the aluminum surface between gussets recorded a mean of 11.0 &#177;0.0 &#176;C. Loggers placed on the soil surface averaged 13.5 &#177; 0.1 &#176;C. The overall average soil temperature at all three levels for the target temperature of 13 &#176;C was 12.3 &#177; 0.1 &#176;C. At a target temperature of 18 &#176;C, the average temperature throughout the soil profile was 19.1 &#177; 0.1 &#176;C. Variation at the target temperature of 23 &#176;C was greater than at 18 &#176;C with an average of 23.8 &#177; 0.2 &#176;C. At the other extreme temperature, 29 &#176;C, the table aluminum surface temperature was 30.8 &#177; 0.2 &#176;C while the soil surface temperature was 25.7 &#177; 0.4 &#176;C. The overall average soil temperature at 29 &#176;C was 28.2 &#177; 0.3 &#176;C (Figure 4).
Seed species can be tested for their optimum germination and seedling growth temperatures on a thermogradient table with gussets. Tomato and melon, both considered warm-season crops, germinated over a range from 14.1 to 40.2 &#176;C (Table 1, Figure 3). LED arrays mounted in the table lids and/or sides emit the photosynthetic spectrum enabling plants to grow in soil at experimental soil temperatures when the table is enclosed (Figure 3). Optimum seedling growth for tomato occurred at 29.6 &#176;C with an emergence percentage of 100% and a mean time to emergence of 5.3 days (Table 1, Figure 5). Emergence was slower at other temperatures. For melon, the optimum emergence percentage was 96% and mean time to emergence was 5.1 days both at 24.7 &#176;C (Table 1). Both lettuce and oat are considered cool-season crops. Oat seeds germinated over a range from 5.1 to 40.2 &#176;C the broadest of any seed tested (Table 1, Figure 5). For oat, the highest emergence percentage was 100% at 24.7 &#176;C and the fastest emergence was 3.4 days at 29.6 &#176;C (Table 1, Figure 5). For lettuce, emergence was observed over a range of 5.1 to 29.6 &#176;C. For lettuce, the highest emergence percentage was 100% at 24.7 &#176;C and the fastest emergence was 3.4 days at 29.6 &#176;C (Table 1).
<img alt="Figure 1" src="/files/ftp_upload/54647/54647fig1.jpg" /> 
Figure 1: A traditional flat thermogradient table with the insulated lids removed but with an inner acrylic lid covering &#189; the table. The traditional flat table design tests effects of temperature on samples in shallow containers. Temperature control of the gradient is rapidly lost at distances above the surface since there is no barrier to air mixing. Experiments that required a consistent temperature in depth are not feasible using this design. <a href="http://cloudflare.jove.com/files/ftp_upload/54647/54647fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" src="/files/ftp_upload/54647/54647fig2.jpg" /> 
Figure 2: Schematic diagram of a thermogradient plate with gussets. Gussets are stitch welded longitudinally across the table perpendicular to the surface. A drain in one corner removes excess water. <a href="http://cloudflare.jove.com/files/ftp_upload/54647/54647fig2large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" src="/files/ftp_upload/54647/54647fig3.jpg" /> 
Figure 3: Illuminated thermogradient table with gussets filled with soil, sod, and containers for seed germination experiments. The gradient in this table is set up from left (warm end) to right (cold end). While the gusset design was developed for use with soil, containers can be placed between gussets for experiments with small specimens. The LED plant grow lights may be mounted in the lids or periphery and emit photosynthetically active frequencies and allow plants to be grown inside the enclosure. <a href="http://cloudflare.jove.com/files/ftp_upload/54647/54647fig3large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" src="/files/ftp_upload/54647/54647fig4.jpg" /> 
Figure 4. Temperature readings from different soil positions on a gusseted thermogradient table. Temperature loggers were placed in soil across the table at the left wall, left center (20 cm from the left wall), right center (40 cm from the left wall), and at the right wall midway between gussets. Bottom positioning of temperature logger was near the aluminum table surface 8 cm below the top of the soil while center placement was approximately 4 cm below the soil. Temperature loggers placed on top of soil were uncovered. Values above bars indicate the overall mean temperatures &#177; standard error of the mean (n = 72). <a href="http://cloudflare.jove.com/files/ftp_upload/54647/54647fig4large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 5" src="/files/ftp_upload/54647/54647fig5.jpg" /> 
Figure 5: Seedlings of oat and tomato grown for 14 days on thermogradient tables over a temperature range of 5 to 40 &#176;C. The picture illustrates how germination and seedling growth of multiple species can be assessed in soil simultaneously over a range of temperatures in a single experiment to simulate field conditions. Top (left and right) pictures show the thermogradient table when viewed vertically. Bottom (left and right) pictures show the table in horizontal orientation. Alcohol thermometers were placed in the soil to rapidly monitor temperatures throughout the experiment.
<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td rowspan="2">Target Temperature</td>
			<td rowspan="2">Measured Temperature</td>
			<td colspan="2">Tomato</td>
			<td colspan="2">Melon</td>
			<td colspan="2">Lettuce</td>
			<td colspan="2">Oat</td>
		</tr>
		<tr>
			<td>EM &#8224;</td>
			<td>MTE&#8224;&#8224;</td>
			<td>EM</td>
			<td>MTE</td>
			<td>EM</td>
			<td>MTE</td>
			<td>EM</td>
			<td>MTE</td>
		</tr>
		<tr>
			<td>&#176;C</td>
			<td>&#176;C</td>
			<td>%</td>
			<td>days</td>
			<td>%</td>
			<td>days</td>
			<td>%</td>
			<td>days</td>
			<td>%</td>
			<td>days</td>
		</tr>
		<tr>
			<td>&#160; 5</td>
			<td>&#160; 5.1</td>
			<td>&#160;&#160; 0</td>
			<td>&#160; 0.0</td>
			<td>&#160; 0</td>
			<td>&#160;0.0</td>
			<td>78</td>
			<td>11.4</td>
			<td>46</td>
			<td>12.7</td>
		</tr>
		<tr>
			<td>10</td>
			<td>&#160; 8.7</td>
			<td>&#160;&#160; 0</td>
			<td>&#160;0.0</td>
			<td>&#160; 0</td>
			<td>&#160;0.0</td>
			<td>92</td>
			<td>&#160;7.5</td>
			<td>58</td>
			<td>12.5</td>
		</tr>
		<tr>
			<td>15</td>
			<td>14.1</td>
			<td>100</td>
			<td>10.8</td>
			<td>16</td>
			<td>13.8</td>
			<td>68</td>
			<td>&#160;5.9</td>
			<td>96</td>
			<td>&#160;7.2</td>
		</tr>
		<tr>
			<td>20</td>
			<td>19.8</td>
			<td>100</td>
			<td>&#160;7.2</td>
			<td>84</td>
			<td>&#160;7.5</td>
			<td>66</td>
			<td>&#160;6.5</td>
			<td>100</td>
			<td>&#160;5.4</td>
		</tr>
		<tr>
			<td>25</td>
			<td>24.7</td>
			<td>100</td>
			<td>&#160;6.0</td>
			<td>96</td>
			<td>&#160;5.1</td>
			<td>22</td>
			<td>&#160;8.1</td>
			<td>100</td>
			<td>&#160;3.7</td>
		</tr>
		<tr>
			<td>30</td>
			<td>29.6</td>
			<td>100</td>
			<td>&#160;5.3</td>
			<td>92</td>
			<td>&#160;5.5</td>
			<td>&#160; 4</td>
			<td>12.5</td>
			<td>98</td>
			<td>&#160;3.4</td>
		</tr>
		<tr>
			<td>35</td>
			<td>36.1</td>
			<td>94</td>
			<td>&#160;7.0</td>
			<td>92</td>
			<td>&#160;4.4</td>
			<td>&#160; 0</td>
			<td>&#160;0.0</td>
			<td>94</td>
			<td>&#160;4.5</td>
		</tr>
		<tr>
			<td>40</td>
			<td>40.2</td>
			<td>72</td>
			<td>&#160;7.8</td>
			<td>88</td>
			<td>&#160;5.1</td>
			<td>&#160; 0</td>
			<td>&#160;0.0</td>
			<td>10</td>
			<td>&#160;8.2</td>
		</tr>
		<tr>
			<td colspan="10">&#8224; Successful emergence (EM) was scored when seedlings had at least one open cotyledon.</td>
		</tr>
		<tr>
			<td colspan="10">&#8224;&#8224; Mean time to emergence (MTE) was calculated by summing the product of the number seeds that emerged each day by the day number and dividing by the total number of seeds that emerged for each treatment.</td>
		</tr>
	</tbody>
</table>
Table 1: Germination of Tomato, Melon, Lettuce and Oat Seeds in Soil at Eight Temperatures on a Thermogradient Table. Bold numbers show optimum values for each species and illustrate the temperature dependence of different crop species. The experiment was conducted for 14 days in potting mix and the media was watered daily or as needed to keep soil visibly moist. Data are based on 25 seeds for each species.

Watch this Scientific Journal Video about A Gusseted Thermogradient Table to Control Soil Temperatures for Evaluating Plant Growth and Monitoring Soil Processes at JoVE.com

A Gusseted Thermogradient Table to Control Soil Temperatures for Evaluating Plant Growth and Monitoring Soil Processes

Traditional thermogradient tables create a range of temperatures across the surface. Welding gussets perpendicular to the surface of a thermogradient table will control temperature in depth increasing possible research applications.

Thermogradient tables were first developed in the 1950s primarily to test seed germination over a range of temperatures simultaneously without using a ...

a-gusseted-thermogradient-table-to-control-soil-temperatures-for

Nanyang Technological University

Research

JoVE Journal

Environment

11.7K Views.  Virginia Polytechnic Institute and State University. Traditional thermogradient tables create a range of temperatures across the surface. Welding gussets perpendicular to the surface of a thermogradient table will control temperature in depth increasing possible research applications. 

Video: A Gusseted Thermogradient Table to Control Soil Temperatures for Evaluating Plant Growth and Monitoring Soil Processes

Design and Operation of a Continuous 13C and 15N Labeling Chamber for Uniform or Differential, Metabolic and Structural, Plant Isotope Labeling

Tracing rare stable isotopes from plant material through the ecosystem provides the most sensitive information about ecosystem processes; from CO2 fluxes and soil organic matter formation to small-scale stable-isotope biomarker probing. Coupling multiple stable isotopes such as 13C with 15N, 18O or&#160;2H has the potential to reveal even more information about complex stoichiometric relationships during biogeochemical transformations. Isotope labeled plant material has been used in various studies of litter decomposition and soil organic matter formation1-4. From these and other studies, however, it has become apparent that structural components of plant material behave differently than metabolic components (i.e. leachable low molecular weight compounds) in terms of microbial utilization and long-term carbon storage5-7. The ability to study structural and metabolic components separately provides a powerful new tool for advancing the forefront of ecosystem biogeochemical studies. Here we describe a method for producing 13C and 15N labeled plant material that is either uniformly labeled throughout the plant or differentially labeled in structural and metabolic plant components.
Here, we present the construction and operation of a continuous 13C and 15N labeling chamber that can be modified to meet various research needs. Uniformly labeled plant material is produced by continuous labeling from seedling to harvest, while differential labeling is achieved by removing the growing plants from the chamber weeks prior to harvest. Representative results from growing Andropogon gerardii Kaw demonstrate the system&#39;s ability to efficiently label plant material at the targeted levels. Through this method we have produced plant material with a 4.4 atom%13C and 6.7 atom%15N uniform plant label, or material that is differentially labeled by up to 1.29 atom%13C and 0.56 atom%15N in its metabolic and structural components (hot water extractable and hot water residual components, respectively). Challenges lie in maintaining proper temperature, humidity, CO2 concentration,&#160;and light levels in an airtight 13C-CO2 atmosphere for successful plant production. This chamber description represents a useful research tool to effectively produce uniformly or differentially multi-isotope labeled plant material for use in experiments on ecosystem biogeochemical cycling.

Design and Operation of a Continuous 13C and 15N Labeling Chamber for Uniform or Differential, Metabolic and Structural, Plant Isotope Labeling

This method explains how to build and operate a continuous 13C and 15N isotope labeling chamber for uniform or differential plant tissue labeling. Representative results from metabolic and structural labeling of Andropogon gerardii are discussed.

Tracing rare stable isotopes from plant material through the ecosystem provides the most sensitive information about ecosystem processes; from CO2 fluxes ...

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Coexistence theory has often treated environmental heterogeneity as being independent of the community composition; however biotic feedbacks such as plant-soil feedbacks (PSF) have large effects on plant performance, and create environmental heterogeneity that depends on the community composition. Understanding the importance of PSF for plant community assembly necessitates understanding of the role of heterogeneity in PSF, in addition to mean PSF effects. Here, we describe a protocol for manipulating plant-induced soil heterogeneity. Two example experiments are presented: (1) a field experiment with a 6-patch grid of soils to measure plant population responses and (2) a greenhouse experiment with 2-patch soils to measure individual plant responses. Soils can be collected from the zone of root influence (soils from the rhizosphere and directly adjacent to the rhizosphere) of plants in the field from conspecific and heterospecific plant species. Replicate collections are used to avoid pseudoreplicating soil samples. These soils are then placed into separate patches for heterogeneous treatments or mixed for a homogenized treatment. Care should be taken to ensure that heterogeneous and homogenized treatments experience the same degree of soil disturbance. Plants can then be placed in these soil treatments to determine the effect of plant-induced soil heterogeneity on plant performance. We demonstrate that plant-induced heterogeneity results in different outcomes than predicted by traditional coexistence models, perhaps because of the dynamic nature of these feedbacks. Theory that incorporates environmental heterogeneity influenced by the assembling community and additional empirical work is needed to determine when heterogeneity intrinsic to the assembling community will result in different assembly outcomes compared with heterogeneity extrinsic to the community composition.

Understanding the role of environmental heterogeneity in species coexistence has typically focused on types of heterogeneity that are extrinsic to the community&#8217;s species composition. We provide novel detailed methods for creating soil heterogeneity treatments using soils subject to plant-soil feedback conditioning, or heterogeneity intrinsic to the community composition.

Coexistence theory has often treated environmental heterogeneity as being independent of the community composition; however biotic feedbacks such as ...

A Protocol for Collecting and Constructing Soil Core Lysimeters

Leaching of nutrients from land applied fertilizers and manure used in agriculture can lead to accelerated eutrophication of surface water. Because the landscape has complex and varied soil morphology, an accompanying disparity in flow paths for leachate through the soil macropore and matrix structure is present. The rate of flow through these paths is further affected by antecedent soil moisture. Lysimeters are used to quantify flow rate, volume of water and concentration of nutrients leaching downward through soils. While many lysimeter designs exist, accurately determining the volume of water and mass balance of nutrients is best accomplished with bounded lysimeters that leave the natural soil structure intact. 
Here we present a detailed method for the extraction and construction of soil core lysimeters equipped with soil moisture sensors at 5 cm and 25 cm depths. Lysimeters from four different Coastal Plain soils (Bojac, Evesboro, Quindocqua and Sassafras) were collected on the Delmarva Peninsula and moved to an indoor climate controlled facility. Soils were irrigated once weekly with the equivalent of 2 cm of rainfall to draw down soil nitrate-N concentrations. At the end of the draw down period, poultry litter was applied (162 kg TN ha-1) and leaching was resumed for an additional five weeks. Total recovery of applied irrigation water varied from 71% to 85%. Nitrate-N concentration varied over the course of the study from an average of 27.1 mg L-1 before litter application to 40.3 mg L-1 following litter application. While greatest flux of nutrients was measured in soils dominated by coarse sand (Sassafras) the greatest immediate flux occurred from the finest textured soil with pronounced macropore development (Quindocqua).

A detailed method for extraction and assembly of intact soil core lysimeters and their use for study of leachate and associated loss of nutrients from surface applied poultry litter is demonstrated.

Leaching of nutrients from land applied fertilizers and manure used in agriculture can lead to accelerated eutrophication of surface water. Because the ...

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Studying co-evolution of hydrological and biogeochemical processes in the subsurface of natural landscapes can enhance the understanding of coupled Earth-system processes. Such knowledge is imperative in improving predictions of hydro-biogeochemical cycles, especially under climate change scenarios. We present an experimental method, designed to capture sub-surface heterogeneity of an initially homogeneous soil system. This method is based on destructive sampling of a soil lysimeter designed to simulate a small-scale hillslope. A weighing lysimeter of one cubic meter capacity was divided into sections (voxels) and was excavated layer-by-layer, with sub samples being collected from each voxel. The excavation procedure was aimed at detecting the incipient heterogeneity of the system by focusing on the spatial assessment of hydrological, geochemical, and microbiological properties of the soil. Representative results of a few physicochemical variables tested show the development of heterogeneity. Additional work to test interactions between hydrological, geochemical, and microbiological signatures is planned to interpret the observed patterns. Our study also demonstrates the possibility of carrying out similar excavations in order to observe and quantify different aspects of soil-development under varying environmental conditions and scale.

This study presents an excavation method for investigating subsurface hydrological, geochemical, and microbiological heterogeneity of a soil lysimeter. The lysimeter simulates an artificial hillslope which was initially under homogeneous condition and had been subjected to approximately 5,000 mm of water over eight cycles of irrigation in an 18-month period.

Studying co-evolution of hydrological and biogeochemical processes in the subsurface of natural landscapes can enhance the understanding of coupled ...

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Spatial patterns of soil erosion and deposition can be inferred from differences in ground elevation mapped at appropriate time increments. Such changes in elevation are related to changes in near-surface soil carbonate (CaCO3) profiles. The objective is to describe a simple conceptual model and detailed protocol for repeatable field and laboratory measurements of these quantities. Here, accurate elevation is measured using a ground-based differential global positioning system (GPS); other data acquisition methods could be applied to the same basic method. Soil samples are collected from prescribed depth intervals and analyzed in the lab using an efficient and precise modified pressure-calcimeter method for quantitative analysis of inorganic carbon concentration. Standard statistical methods are applied to point data, and representative results show significant correlations between changes in soil surface layer CaCO3 and changes in elevation consistent with the conceptual model; CaCO3 generally decreased in depositional areas and increased in erosional areas. Maps are derived from point measurements of elevation and soil CaCO3 to aid analyses. A map of erosional and depositional patterns at the study site, a rain-fed winter wheat field cropped in alternating wheat-fallow strips, shows the interacting effects of water and wind erosion affected by management and topography. Alternative sampling methods and depth intervals are discussed and recommended for future work relating soil erosion and deposition to soil CaCO3.

Spatial patterns of soil erosion and deposition can be inferred from differences in ground elevation mapped at appropriate time increments. Such changes in elevation are related to changes in near-surface soil carbonates. Repeatable methods for field and laboratory measurements of these quantities and data analysis methods are described here.

Spatial patterns of soil erosion and deposition can be inferred from differences in ground elevation mapped at appropriate time increments. Such changes ...

Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa

Dryocosmus kuriphilus Yasumatsu has become a major pest for Castaneasativa since its arrival in Europe. Its galling activity results in the formation of different gall types and prevents the development of normal shoots. Repeated and uncontrolled attacks cause, besides the production of galls and the attendant gall-related reduction in leaf area, progressive corruption of the branch architecture, including the death of branch parts, and an increase in dormant bud activation. Thus far, there have been few attempts to quantify branch architecture damage. Further, the different methods for assessing infestation degree (MAID) that have been developed focus only on the galls' presence and abundance.
Using the leaf area to sapwood area relationship as a green biomass indicator, we developed in a previous study a damage composite index (DCI) that takes into account the most important branch architectural features, allowing for realistic damage assessment during the entire epidemic process. 
The aim of this study is to present this novel method and highlight differences in the damage description with respect to other broadly used indices. Results show how the DCI depicts branch damage better, especially during the epidemic peak, compared to MAID, which tend to underestimate it. We conclude by suggesting how to properly evaluate the overall impact of the pest by means of our composite damage index, the infestation degree using classic methods, and crown transparency evaluations.

Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa

It is common practice to assess the damage caused by Dryocosmus kuriphilus by considering the abundance of galls alone rather than by also taking related branch corruption into consideration. We propose a composite damage index that takes into account the most important branch features, thus enabling more realistic damage assessment.

Dryocosmus kuriphilus Yasumatsu has become a major pest for Castaneasativa since its arrival in Europe. Its galling activity results in the formation of ...

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Landscape topography is a critical factor affecting soil formation and plays an important role in determining soil properties on the earth surface, as it regulates the gravity-driven soil movement induced by runoff and tillage activities. The recent application of Light Detection and Ranging (LiDAR) data holds promise for generating high spatial resolution topographic metrics that can be used to investigate soil property variability. In this study, fifteen topographic metrics derived from LiDAR data were used to investigate topographic impacts on redistribution of soil and spatial distribution of soil organic carbon (SOC). Specifically, we explored the use of topographic principal components (TPCs) for characterizing topography metrics and stepwise principal component regression (SPCR) to develop topography-based soil erosion and SOC models at site and watershed scales. Performance of SPCR models was evaluated against stepwise ordinary least square regression (SOLSR) models. Results showed that SPCR models outperformed SOLSR models in predicting soil redistribution rates and SOC density at different spatial scales. Use of TPCs removes potential collinearity between individual input variables, and dimensionality reduction by principal component analysis (PCA) diminishes the risk of overfitting the prediction models. This study proposes a new approach for modeling soil redistribution across various spatial scales. For one application, access to private lands is often limited, and the need to extrapolate findings from representative study sites to larger settings that include private lands can be important.

Landscape processes are critical components of soil formation and play important roles in determining soil properties and spatial structure in landscapes. We propose a new approach using stepwise principal component regression to predict soil redistribution and soil organic carbon across various spatial scales.

Landscape topography is a critical factor affecting soil formation and plays an important role in determining soil properties on the earth surface, as it ...

High-throughput Siderophore Screening from Environmental Samples: Plant Tissues, Bulk Soils, and Rhizosphere Soils

Siderophores (low-molecular weight metal chelating compounds) are important in various ecological phenomenon ranging from iron (Fe) biogeochemical cycling in soils, to pathogen competition, plant growth promotion, and cross-kingdom signaling. Furthermore, siderophores are also of commercial interest in bioleaching and bioweathering of metal-bearing minerals and ores. A rapid, cost effective, and robust means of quantitatively assessing siderophore production in complex samples is key to identifying important aspects of the ecological ramifications of siderophore activity, including, novel siderophore producing microbes. The method presented here was developed to assess siderophore activity of in-tact microbiome communities, in environmental samples, such as soil or plant tissues. The samples were homogenized and diluted in a modified M9 medium (without Fe), and enrichment cultures were incubated for 3 days. Siderophore production was assessed in samples at 24, 48, and 72 hours (h) using a novel 96-well microplate CAS (Chrome azurol sulphonate)-Fe agar assay, an adaptation of the traditionally tedious and time-consuming colorimetric method of assessing siderophore activity, performed on individual cultivated microbial isolates. We applied our method to 4 different genotypes/Lines of wheat (Triticum aestivum L.), including Lewjain, Madsen, and PI561725, and PI561727 commonly grown in the inland Pacific Northwest. Siderophore production was clearly impacted by the genotype of wheat, and in the specific types of plant tissues observed. We successfully used our method to rapidly screen for the influence of plant genotype on siderophore production, a key function in terrestrial and aquatic ecosystems. We produced many technical replicates, yielding very reliable statistical differences in soils and within plant tissues. Importantly, the results show the proposed method can be used to rapidly examine siderophore production in complex samples with a high degree of reliability, in a manner that allows communities to be preserved for later work to identify taxa and functional genes.

We present a protocol for rapid screening of environmental samples for siderophore potential contributing to micronutrient bioavailability and turnover in terrestrial systems.

Siderophores (low-molecular weight metal chelating compounds) are important in various ecological phenomenon ranging from iron (Fe) biogeochemical cycling ...

Microplot Design and Plant and Soil Sample Preparation for 15Nitrogen Analysis

Many&#160;nitrogen fertilizer studies evaluate the overall effect of a treatment on end-of-season measurements such as grain yield or cumulative N losses. A stable isotope approach is necessary to follow and quantify the fate of fertilizer derived N (FDN) through the soil-crop system. The purpose of this paper is to describe a small-plot research&#160;design utilizing non-confined 15N enriched microplots for multiple soil and plant sampling events over two growing seasons and provide sample collection, handling, and processing protocols for total 15N analysis. The methods were demonstrated using a replicated study from south-central Minnesota planted to corn (Zea mays L.). Each treatment consisted of six corn rows (76 cm row-spacing) 15.2 m long with a microplot (2.4 m by 3.8 m) embedded at one end. Fertilizer-grade urea was applied at 135 kg N&#8729;ha-1 at planting, while the microplot received urea enriched to 5 atom % 15N. Soil and plant samples were taken several times throughout the growing season, taking care to minimize cross-contamination by using separate tools and physically separating unenriched and enriched samples during all procedures. Soil and plant samples were dried, ground to pass through a 2 mm screen, and then ground to a flour-like consistency using a roller jar mill. Tracer studies require additional planning, sample processing time and manual labor, and incur higher costs for 15N enriched materials and sample analysis than traditional N studies. However, using the mass balance approach, tracer studies with multiple in-season sampling events allow the researcher to estimate FDN distribution through the soil-crop system and estimate unaccounted-for FDN from the system.

Microplot Design and Plant and Soil Sample Preparation for 15Nitrogen Analysis

A microplot design for 15N tracer research is described to accommodate multiple in-season plant and soil sampling events. Soil and plant sample collection and processing procedures, including grinding and weighing protocols, for 15N analysis are put forth.

Many&#160;nitrogen fertilizer studies evaluate the overall effect of a treatment on end-of-season measurements such as grain yield or cumulative N losses. ...

Estimation of Crystalline Cellulose Content of Plant Biomass using the Updegraff Method

Cellulose is the most abundant polymer on Earth generated by photosynthesis and the main load-bearing component of cell walls. The cell wall plays a significant role in plant growth and development by providing strength, rigidity, rate and direction of cell growth, cell shape maintenance, and protection from biotic and abiotic stressors. The cell wall is primarily composed of cellulose, lignin, hemicellulose and pectin. Recently plant cell walls have been targeted for the second-generation biofuel and bioenergy production. Specifically, the cellulose component of the plant cell wall is used for the production of cellulosic ethanol. Estimation of cellulose content of biomass is critical for fundamental and applied cell wall research. The Updegraff method is simple, robust, and the most widely used method for the estimation of crystalline cellulose content of plant biomass. The alcohol insoluble crude cell wall fraction upon treatment with Updegraff reagent eliminates the hemicellulose and lignin fractions. Later, the Updegraff reagent resistant cellulose fraction is subjected to sulfuric acid treatment to hydrolyze the cellulose homopolymer into monomeric glucose units. A regression line is developed using various concentrations of glucose and used to estimate the amount of the glucose released upon cellulose hydrolysis in the experimental samples. Finally, the cellulose content is estimated based on the amount of glucose monomers by colorimetric anthrone assay.

The Updegraff method is the most widely used method for the cellulose estimation. The main purpose of this demonstration is to provide a detailed Updegraff protocol for estimation of cellulose content in plant biomass samples.

Cellulose is the most abundant polymer on Earth generated by photosynthesis and the main load-bearing component of cell walls. The cell wall plays a ...