Browsing by Subject "Switchgrass"
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Item Ecological and evolutionary analyses of range limits and biodiversity patterns(2011-12) Behrman, Kathrine Delany; Keitt, Timothy H.; Kirkpatrick, Mark, 1956-The goal of this dissertation is to further our understanding of how spatially heterogeneous landscapes may impact the formation of range boundaries that then aggregate to form large-scale biodiversity patterns. These patterns have been analyzed from many different perspectives by ecologists, evolutionary biologist, and physiologists using a variety of different theoretical, statistical, and mechanistic models. For some species, there is an obvious abrupt change in the environment causing a range boundary. Other environments change gradually, and it is unclear why species fail to adapt and expand their range. The first chapter develops a novel theoretical model of how the establishment of new mutations allows for adaptation to an environmental gradient, when there is no genetic variation for the trait that limits the range. Shallow environmental gradients favor mutations that arise nearer to the range margin, have smaller phenotypic effects, and allow for proportionately larger expansions than steep gradients. Mutations that allow for range expansion tend to have large phenotypic effects causing substantial range expansions. Spatial and temporal variation in climatic and environmental variables is important for understanding species response to climate change. The second chapter uses a mechanistic model to simulate switchgrass (Panicum virgatum L.) productivity across the central and eastern U.S. for current and future climate conditions. Florida and the Gulf Coast of Texas and Louisiana have the highest predicted current and future yields. Regions where future temperature and precipitation are anticipated to increase, larger future yields are expected. Large-scale geographic patterns of biodiversity are documented for many taxa. The mechanisms allowing for the coexistence of more of species in certain regions are poorly understood. The third chapter employs a newly developed wavelet lifting technique to extract scale-dependent patterns from irregularly spaced two-dimensional ecological data and analyzes the relationship between breeding avian richness and four energy variables. Evapotranspiration, temperature, and precipitation are significant predictors of richness at intermediate-to-large scales. Net primary production is the only significant predictor across small-to-large scales, and explains the most variation in richness (~40%) at an intermediate scale. Changes in the species-energy relationship with scale, may indicate a shift in the mechanism governing species richness.Item Effects of Biochar Recycling on Switchgrass Growth and Soil and Water Quality in Bioenergy Production Systems(2012-07-16) Husmoen, Derek HowardIntensive biomass production in emerging bioenergy systems could increase nonpoint-source sediment and nutrient losses and impair surface and groundwater quality. Recycling biochar, a charcoal byproduct from pyrolysis of biomass, provides potential sources of mineral nutrients and organic carbon for sustaining biomass productivity and preserving soil and water. Yet, research is needed to verify that recycling of pyrolysis biochars will enhance crop growth and soil and environmental quality similar to black carbon or biochar derived from burning of biomass in tropical or Terra Preta soils. The experimental design of this study consisted of 3 replications and four biochar rates (0, 4, 16, and 64 Mg ha-1) incorporated in both a sandy loam and clay soil with and without fertilizer sources of N, P, and K. The sandy loam and clay soils were studied in separate experiments within a set of 24 box lysimeters seeded with switchgrass. Simulated rain was applied at 50 percent and 100 percent establishment of switchgrass for each soil type. Runoff and leachate were collected and analyzed for total and dissolved N, P, K and organic C. After the second rain event, each soil type and the accumulated switchgrass was sampled and analyzed. In the Boonville soil, biochar applied at 64 Mg ha-1 decreased switchgrass emergence from 42 percent to 14 percent when compared to soil alone. In the Burleson soil, 64 Mg ha-1 biochar had no effect (P > 0.05) on biomass production or leaf area index (LAI). Fertilizer N, P, and K had no effect (P > 0.05) on switchgrass emergence for either soil, but did increase (P < 0.001) N, P, and K uptake, biomass production, and LAI. Increasing rates of biochar increased (P < 0.001) runoff concentrations of DRP during each rain event for both the Boonville and Burleson soils. Four rates of biochar receiving supplemental N, P, and K fertilizer also resulted in greater runoff concentrations of DRP. Emergence tests under increased heat showed electrical conductivities of soil-water solutions to be as high as 600 microS cm-1, even after biochar was washed with acetone and water to remove residual oils and tars and soluble salts. Increasing biochar rates decreased soil bulk density and increased pH and SOC in the 0- to 5-cm depth of soil. As a result of high nutrient recovery during pyrolysis (58 percent of total N, 86 percent of total P and 101 percent of total K), high rates of biochar applied at 64 Mg ha-1 increased mass losses of TN, TP, and TK from both soils. Yet, the mass balance of nutrients showed a surplus of N, P, and K at 64 Mg ha-1 biochar, which suggests some nutrient inputs are not plant available and remain in soil. Careful management of biochar, especially at high rates with these high nutrient contents, is critical when trying to improve soil fertility while protecting water quality. ?Item Evaluation of Basic Parameters for Packaging, Storage and Transportation of Biomass Material from Field to Biorefinery(2012-02-14) Paliwal, RichaThe universal adoption of biomass materials as an alternate fuel source to fossil fuels for transportation and electricity has been hindered by the high transportation costs involved in fuel production. Optimization of these initial costs will make the eco-friendly fuels more economically viable. Biomass is a promising feedstock for biofuels primarily because it is a renewable and sustainable resource. Among the most studied grassland crops, switchgrass is a perennial warm-season grass and has been identified as a potential energy crop. This research focuses on evaluating various physical parameters which affect the economic feasibility of packaging and transporting switchgrass from the field to the biorefinery. The switchgrass was harvested using a mower conditioner followed by field chopping after varying drying periods. The first harvesting period spanned from early November to mid December 2007 and the second was August to October 2008. Densification properties of chopped switchgrass were studied under compression. The effects of compressive stresses (41 to 101 kPa), number of strokes (1 to 10), moisture content (9 to 62 percent) and chopping length (63 and 95 mm) on the densification of chopped switchgrass were studied. The final dry matter density (DMD) increased with the compressive stresses and the number of strokes, small chop length and low moisture content. The maximum free-standing DMD obtained was 245 kg/m^3.Item The genetic architecture of quantitative traits in locally adapted plant ecotypes(2015-08) Milano, Elizabeth Rose; Juenger, Thomas; Kirkpatrick, Mark; Linder, Craig R; Lloyd, Alan; Martin, NolandLocally adapted ecotypes are a common phenomenon generating plant diversity within species, yet we know surprisingly little about the genetic mechanisms that lead to locally adapted traits. The genetic architecture underlying traits can indicate evolutionary history and predict response to selection, with applications in evolutionary ecology, conservation, and crop development. This research broadly investigates the genetic architecture of quantitative traits in paired ecotypes from different plant species. I used multivariate comparative methods and quantitative trait loci (QTL) mapping to quantify genetic correlations and population divergence, between ecologically relevant traits, both at the phenotypic and genotypic level. I tested for adaptive floral trait evolution in a perennial wildflower by comparing differentiation at neutral loci to differentiation in a suite of quantitative floral traits in an Ipomopsis aggregata hybrid zone. I used multivariate comparisons to incorporate the genetic covariance architecture underlying floral display and reward traits, and found a strong signal for divergent selection. Non-neutral divergence for multivariate quantitative traits suggests that selection by pollinators is maintaining a correlation between floral display and reward. In Panicum virgatum, a native perennial grass, I used a genetic mapping population, segregating ecotypic variation, to construct a linkage map, and map QTL for nine ecological traits. Most QTL had intermediate to small effects and clustered on a limited number of linkage groups. I also found over half of the functional allelic effects displayed patterns associated with fixed differences between ecotypes. These results suggest there is considerable standing genetic variation within local populations, as well as between ecotypes for ecologically relevant traits. Lastly, I explored the genetics of plant tissue quality in Panicum hallii, a model lignocellulosic grass system. Cell wall components compose the bulk of lignocellulosic biomass and contribute to the recalcitrance of plant tissue. I characterized the divergence of four major cell wall components between ecotypes, identified 14 QTL, and found half of the QTL localized to a single linkage group. Exploring the genetic architecture of tissue traits in a tractable system will lead to a better understanding of cell wall structure and function as well as provide genomic resources for bioenergy crop improvement.