Physical Sciences and Mathematics Commons^™

Radiative Forcing Over The Conterminous United States Due To Contemporary Land Cover Use Change And Sensitivity To Snow And Interannual Albedo Variability, Christoper A. Barnes, David P. Roy

GSCE Faculty Publications

Satellite‐derived land cover land use (LCLU), snow and albedo data, and incoming surface solar radiation reanalysis data were used to study the impact of LCLU change from 1973 to 2000 on surface albedo and radiative forcing for 58 ecoregions covering 69% of the conterminous United States. A net positive surface radiative forcing (i.e., warming) of 0.029 Wm−2 due to LCLU albedo change from 1973 to 2000 was estimated. The forcings for individual ecoregions were similar in magnitude to current global forcing estimates, with the most negative forcing (as low as −0.367 Wm−2) due to the transition to forest and the …

Factors That Influence The Adoption Of Agricultural Conservation Programs In Northwest Arkansas, Edison Anthony Froelich

Graduate Theses and Dissertations

A survey was developed and administered to agricultural producers in Northwest Arkansas in order to better understand producer awareness of, application for and participation in six federal and state conservation programs available in Arkansas: the Environmental Quality Incentives Program, the Conservation Reserve Enhancement Program, the Arkansas Revolving Loan Program, the Arkansas Nonpoint Pollution Management Program , the Arkansas Soil Nutrient and Poultry Litter Application and Management Program, and the Surplus Poultry Litter Removal Incentives Cost Share Program. Survey results found that less than half of the sample was aware of any one of the programs. A logit model was developed …

The Amazon Frontier Of Land-Use Change: Croplands And Consequences For Greenhouse Gas Emissions, Gillian L. Galford, Jerry Melillo, John F. Mustard, Carlos E.P. Cerri, Carlos C. Cerri

Rubenstein School of Environment and Natural Resources Faculty Publications

The Brazilian Amazon is one of the most rapidly developing agricultural frontiers in the world. The authors assess changes in cropland area and the intensification of cropping in the Brazilian agricultural frontier state of Mato Grosso using remote sensing and develop a greenhouse gas emissions budget. The most common type of intensification in this region is a shift from single-to double-cropping patterns and associated changes in management, including increased fertilization. Using the enhanced vegetation index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, the authors created a green-leaf phenology for 2001-06 that was temporally smoothed with a wavelet filter. …

Balancing Limiting Factors & Economic Drivers For Sustainable Midwestern Us Agricultural Residue Feedstock Supplies, Wally W. Wilhelm, J. Richard Hess, Douglas L. Karlen, Jane M. F. Johnson, David J. Muth Jr., John M. Baker, Hero T. Gollany, Jeff M. Novak, Diane E. Scott, Gary E. Varvel

David J. Muth

Advanced biofuels will be developed using cellulosic feedstock rather than grain or oilseed crops that can also be used for food and feed. To be sustainable, these new agronomic production systems must be economically viable without degrading the soil and other natural resources. This review examines six agronomic factors that collectively define many of the limits and opportunities for harvesting crop residue for biofuel feedstock in the midwestern United States. The limiting factors include soil organic carbon, wind and water erosion, plant nutrient balance, soil water and temperature dynamics, soil compaction, and off-site environmental impacts. These are discussed in relationship …

Foodshed Foundations: Law's Role In Shaping Our Food System's Future, Margaret Sova Mccabe

Law Faculty Scholarship

[. . .] This symposium Article analyzes how we can rethink the architecture of law based on a foodshed model to provide a greater role for local, state, and regional government in the American food system. In turn, greater roles for different levels of government may help America achieve greater efficiencies in domestic food safety, nutrition and related public health issues, sustainability, and international trade.

Americans need a greater voice in the food system. The foodshed model is a powerful vehicle that allows us to conceptualize change, allowing greater citizen participation and a more nuanced approach to food policy. The …

Balancing Limiting Factors & Economic Drivers For Sustainable Midwestern Us Agricultural Residue Feedstock Supplies, Wally W. Wilhelm, J. Richard Hess, Douglas L. Karlen, Jane M. F. Johnson, David J. Muth Jr., John M. Baker, Hero T. Gollany, Jeff M. Novak, Diane E. Scott, Gary E. Varvel

Douglas L Karlen

Advanced biofuels will be developed using cellulosic feedstock rather than grain or oilseed crops that can also be used for food and feed. To be sustainable, these new agronomic production systems must be economically viable without degrading the soil and other natural resources. This review examines six agronomic factors that collectively define many of the limits and opportunities for harvesting crop residue for biofuel feedstock in the midwestern United States. The limiting factors include soil organic carbon, wind and water erosion, plant nutrient balance, soil water and temperature dynamics, soil compaction, and off-site environmental impacts. These are discussed in relationship …

Physical And Chemical Characterization Of Fuel Ethanol Coproducts Relevant To Value-Added Uses, Rumela Bhadra, Kurt A. Rosentrater, Kasiviswanathan Muthukumarappan

Kurt A. Rosentrater

One of the fastest growing industries in the United States is the fuel ethanol industry. In terms of ethanol production capability, the industry has grown by more than 600% since the year 2000. The major coproducts from corn-based ethanol include distillers dried grains with solubles (DDGS) and carbon dioxide. DDGS is used as a livestock feed because it contains high quantities of protein, fiber, amino acids, and other nutrients. The goal of this study was to quantify various chemical and physical properties of DDGS, distillers wet grains (DWG), and distillers dried grain (DDG) from several plants in South Dakota. Chemical …

Temporal And Spatial Monitoring Of Mobile Nanoparticles In A Vineyard Soil: Evidence Of Nanoaggregate Formation, N. Perdrial, J. N. Perdrial, J. E. Delphin, F. Elsass, N. Liewig

College of Arts and Sciences Faculty Publications

Mechanisms of formation, stabilization, liberation, transport and deposition of nanoparticles and their relationship to contaminant transport remain scarcely investigated in natural porous media. This study investigated nanoparticles mobilized in the pore space of a French vineyard soil by observing mobile soil-derived organic matter (SOM) and minerals in pore fluids over an 8-month monitoring period. Samples were collected in situ and investigated by transmission electron microscopy coupled to electron-dispersive spectroscopy. The main types of nanoparticles transported within the soil were clay, bacteria, SOM and nanoaggregates. Nanometric clay particles were enriched in various metals (Fe, Zn, As and Pb) and organically-derived constituents. …

Cockatoo Sands Soil Survey : Assessment Of The Potential Irrigation Areas, Kununurra Area, East Kimberley, Henry Smolinski, Kus Kuswardiyanto, Justin Laycock

Resource management technical reports

No abstract provided.

End Of Program Evaluation On Catchment Demonstration Initiative (Cdi), Urs

Natural resources commissioned reports

In 2003 the Department of Agriculture and Food, Western Australia, developed a Catchment Demonstration Initiative (CDI) Project as a contribution to the National Action Plan for Salinity and Water Quality. Joint Commonwealth and State funding allocated $6 million towards a project aimed at demonstrating viable salinity management systems in the agricultural area of Western Australia. The CDI sought to deliver its outcomes in partnership with NRM Regions by co-investment in targeted, large-scaled, catchment-based demonstrations of integrated salinity management practices.

Submissions were invited from interested groups to provide proposals, and following an assessment process at the local, state/Commonwealth level against predetermined …

Water Erosion Hazard Assessment Of The Lort And Young Rivers Catchment, Karen Holmes, John Andrew Simons, B Marillier, N Callow, Paul Galloway

Resource management technical reports

No abstract provided.

Are Biotechnology And Sustainable Agriculture Compatible?, David E. Ervin, Leland L. Glenna, Raymond Adelard Jussaume

Economics Faculty Publications and Presentations

Agricultural biotechnology has been largely opposed by advocates in the sustainable agriculture movement, despite claims by the technology’s proponents that it holds the promise to deliver both production (economic) and environmental benefits, two legs of the sustainability stool. We argue in this paper that participants in this polarized debate are talking past each other because assumptions about biotechnology and sustainability remain simplistic and poorly defined. Genetically engineered (GE) herbicide-resistant and insect-resistant crop varieties are the most visible current forms of agricultural biotechnology, and thus the form of biotechnology that many in the sustainability movement react to. However, these crops represent …

Introduction To Selecting Subsets Of Traits For Quantitative Trait Loci Analysis, Tilman Achberger, James C. Fleet, David E. Salt, R. W. Doerge

Conference on Applied Statistics in Agriculture

Quantitative trait loci (QTL) mapping is a popular statistical method that is often used in agricultural applications to identify genomic regions associated with phenotypic traits of interest. In its most common form, a QTL analysis tests one phenotypic trait at a time using a variety of research hypotheses that depend on the application. When multiple traits are available, there are considerable benefits to analyzing subsets of biologically related traits in a multipletrait QTL mapping framework. Determining the most informative subset(s) of traits is the critical challenge that we address in this work. We present our approach, as well as simulations …

After Further Review: An Update On Modeling And Design Strategies For Agricultural Dose-Response Experiments, M. J. Frenzel, W. W. Stroup, E. T. Paparozzi

Conference on Applied Statistics in Agriculture

Research investigating dose-response relationships is common in agricultural science. This paper is an expansion on previous work by Guo, et al. (2006) motivated by plant nutrition research in horticulture. Plant response to level of nutrient applied is typically sigmoidal, i.e. no response at very low levels, observable response at mid-levels, point-of-diminishing returns and plateau at high levels. Plant scientists need accurate estimates of these response relationships for many reasons, including determining the lower threshold below which plants show deficiency symptoms and the point of diminishing returns, above which excessive doses are economically and environmentally costly. Guo et al. presented models …

A Non-Parametric Empirical Bayes Approach For Estimating Transcript Abundance In Un-Replicated Next-Generation Sequencing Data, Sanvesh Srivastava, R. W. Doerge

Conference on Applied Statistics in Agriculture

Empirical Bayes approaches have been widely used to analyze data from high throughput sequencing devices. These approaches rely on borrowing information available for all the genes across samples to get better estimates of gene level expression. To date, transcript abundance in data from next generation sequencing (NGS) technologies has been estimated using parametric approaches for analyzing count data, namely – gamma-Poisson model, negative binomial model, and over-dispersed logistic model. One serious limitation of these approaches is they cannot be applied in absence of replication. The high cost of NGS technologies imposes a serious restriction on the number of biological replicates …

Nonlinear Regression Parameters As Outcomes: Simple Vs. Sophisticated Analyses, Reid D. Landes

Conference on Applied Statistics in Agriculture

Sometimes a nonlinear regression parameter for an individual is the outcome of interest. But due to variability among individuals, the individuals’ regression parameters cannot be estimated with the same amount of precision. This problem of heterogeneous variance complicates the ultimate goal of estimating population-level regression parameters with two usual methods: (i) the simple arithmetic mean of individually estimated regression parameters and (ii) random coefficients regression (RCR). Weights are proposed for each method to account for the heterogeneity problem. The methods are illustrated with chick weights collected over time. Monte Carlo simulation allows comparison of statistical properties of the four estimators …

Approximate Bayesian Approaches For Reverse Engineering Biological Networks, Andrea Rau, Florence Jaffr´Ezic, Jean-Louis Foulley, R. W. Doerge

Conference on Applied Statistics in Agriculture

Genes are known to interact with one another through proteins by regulating the rate at which gene transcription takes place. As such, identifying these gene-to-gene interactions is essential to improving our knowledge of how complex biological systems work. In recent years, a growing body of work has focused on methods for reverse-engineering these so-called gene regulatory networks from time-course gene expression data. However, reconstruction of these networks is often complicated by the large number of genes potentially involved in a given network and the limited number of time points and biological replicates typically measured. Bayesian methods are particularly well-suited for …

On Testing For Significant Quantitative Trait Loci (Qtl) Effects When Variances Are Unequal, Pradeep Singh, Shesh N. Rai

Conference on Applied Statistics in Agriculture

The basic theory of QTL (Quantitative Trait Loci) mapping is to score a population for a quantitative trait according to the marker genotype, and then to use statistics to identify differences associated with the markers and the quantitative trait of interest. Permutation based methods have been used to estimate threshold values for quantitative mapping. The permutation test based on the Student t-test for equality of means does not control Type I error rate to its nominal value when variances are unequal. In this study we propose a modification of the Student t-test based on the jackknife estimator of population variance. …

Functional Divergence Of Duplicated Genes In The Soybean Genome, Paul L. Auer, R. W. Doerge

Conference on Applied Statistics in Agriculture

The soybean genome has undergone many different evolutionary changes that are observable with modern technologies. Of particular interest to scientists and plant breeders is the fact that the soybean genome exhibits features of genome duplication from millions of years ago. Genes that were copied during the duplication event have since diverged functionally. Identifying functionally divergent duplicate genes may provide insight into the evolution of soybean. To investigate functional divergence, transcripts from seven different tissue samples of pooled soybean messenger RNA were sequenced using the Solexa next-generation sequencer and analyzed for gene expression. We tested differential expression of duplicated genes within …

Generalized Linear Mixed Model Estimation Using Proc Glimmix: Results From Simulations When The Data And Model Match, And When The Model Is Misspecified, Debbie Boykin, Mary J. Camp, Luann Johnson, Matthew Kramer, David Meek, Debra Palmquist, Bryan Vinyard, Mark West

Conference on Applied Statistics in Agriculture

A simulation study was conducted to determine how well SAS® PROC GLIMMIX (SAS Institute, Cary, NC), statistical software to fit generalized linear mixed models (GLMMs), performed for a simple GLMM, using its default settings, as a naïve user would do. Data were generated from a wide variety of distributions with the same sets of linear predictors, and under several conditions. Then, the data sets were analyzed by using the correct model (the generating model and estimating model were the same) and, subsequently, by misspecifying the estimating model, all using default settings. The data generation model was a randomized complete block …

Using Time-Series Intervention Analysis To Model Cow Heart Rate Affected By Programmed Audio And Environmental/Physiological Cues, Dean M. Anderson, Norbert Remenyi, Leigh W. Murray

Conference on Applied Statistics in Agriculture

This research is the first use of Box-Jenkins time-series models to describe changes in heart rate (HR) of free-ranging crossbred cows (Bos taurus) receiving both programmed audio cues from directional virtual fencing (DVFTM) devices and non-programmed environmental/physiological cues. The DVFTM device is designed to control the animal's location on the landscape. Polar Accurex® devices were used to capture HR every minute between 19 and 24 March 2003, when three mature free-ranging beef cows, previously habituated to the DVFTM device, were confined to a brush-infested area of an arid rangeland paddock. Global positioning system (GPS) electronics were used to record each …

A Generalized Approach And Computer Tool For Quantitative Genetics Study, Jixiang Wu, Johnie N. Jenkins, Jack C. Mccarty

Conference on Applied Statistics in Agriculture

Quantitative genetics is one of the most important components to provide valuable genetic information for improving production and quality of plants and animals. The research history of quantitative genetics study could be traced back more than one hundred years. Since the Analysis of Variance (ANOVA) methods were proposed by Fisher in 1925, several useful genetic models have been proposed and have been widely applied in both plant and animal quantitative genetics studies. Useful examples included various North Carolina (NC) and diallel cross mating designs. However, many genetic models derived from these mating designs are ANOVA method based, so there are …

Modeling Dna Methylation Tiling Array Data, Gayla Olbricht, Bruce A. Craig, R. W. Doerge

Conference on Applied Statistics in Agriculture

Epigenetics is the study of heritable changes in gene function that occur without a change in DNA sequence. It has quickly emerged as an essential area for understanding inheritance and variation that cannot be explained by the DNA sequence alone. Epigenetic modifications have the potential to regulate gene expression and may play a role in diseases such as cancer. DNA methylation is a type of epigenetic modification that occurs when a methyl chemical group attaches to a cytosine base on the DNA molecule. To better understand this epigenetic mechanism, DNA methylation profiles can be constructed by identifying all locations of …

Characterizing Thermal Hysteresis In Body Temperature For A Heat Stressed Steer, F. Yang, A. M. Parkhurst, D. A. Spiers, J. B. Gaughan, T. L. Mader, G. L. Hahn

Conference on Applied Statistics in Agriculture

Studies have shown that exposure of animals to a high ambient temperature environment poses serious threats to their health, performance and productivity. Above a certain threshold an animal's body temperature (Tb) appears to be driven by the hot ambient temperature (Ta). For steers challenged by heat stress, the Tb-Ta relationship shows a dramatic increase in Tb per unit change of Ta and the dynamics of the Tb-Ta relationship follow a pattern which depends on whether Ta is increasing or decreasing. A delay becomes noticeable in a steer’s thermo-regulatory response to Ta when Ta is controlled to be sinusoidal in the …

Evaluating Pen-Day Interactions In Body Temperature Bilogistic Mixed Model For Handling Of Feedlot Heifers During Heat Stress, F. Yang, A. M. Parkhurst, T. M. Brown-Brandl, R. A. Eigenberg, J. A. Nienaber

Conference on Applied Statistics in Agriculture

Daily activities consume the energy of heifers, subsequently causing an elevation of body temperature, depending on the ambient conditions. A better understanding of the dynamics of body temperature (Tb) would be helpful when deciding how to process and handle heifers. It would also lead to specific recommendations on moving heifers under different ambient conditions, especially during the summer. In this study, a bilogistic mixed model is used to describe the dynamics of Tb during the moving event. Data was taken from heifers in pens located at different distances from the heifer work station on four separate summer days under hot …

Characterizing Foraging Patterns Among Cattle And Bonded And Non-Bonded Small Ruminants Using Spatial Point Process Techniques, D. M. Anderson, L. W. Murray, P. Sun, E. L. Fredrickson, R. E. Estell, V. B. Nakamatsu

Conference on Applied Statistics in Agriculture

This paper uses the technique of spatial point processes to describe the spatial patterns of freeranging cattle and small ruminants. Two mixed-species livestock groups were monitored while foraging on 410 ha of brush-infested Southern New Mexico rangeland during July and August 1988. The groups consisted of crossbred Bos taurus and Bos indicus beef cattle with white-faced sheep (Ovis aries) and mohair goats (Capra hircus). The bonded group consisted of small ruminants that had their behaviours modified through socialization with cattle to form a ‘flerd’ in which small ruminants consistently remained near cattle. Small ruminants in the non-bonded group had not …

Modeling Fish Length Distribution Using A Mixture Technique, Bahman Shafii, William J. Price, Charlie Holderman, Cathy Gidley, Paul J. Anders

Conference on Applied Statistics in Agriculture

In fisheries science, length and age are important aspects of fish life history. Length is a function of growth, which provides an integrated measure of the environmental and endogenous conditions, e.g. genetics, affecting individuals and populations. Length at age data can be used to assess quality and quantity of habitat, food availability, or the need for and influence of management activities. Statistical mixture techniques may be used as a means to effectively model fish length distribution. A three-component mixture model, based on normal variates, was employed to describe length distribution in mountain whitefish species. The resulting model provided parameter estimates …

Editor's Preface And Table Of Contents, Weixing Song

Conference on Applied Statistics in Agriculture

These proceedings contain papers presented in the twenty-second annual Kansas State University Conference on Applied Statistics in Agriculture, held in Manhattan, Kansas, April 25 - April 27, 2010.

The Impact Of Community Consultation To Set Resource Condition Targets For Dryland Salinity, Rebecca Heath, Susan Murphy-White, Jamie Bowyer

Resource management technical reports

No abstract provided.

Interview With Susan Stelljes, Woodlawn Community Garden, 2010 (Audio), Susan Stelljes

All Sustainability History Project Oral Histories

Interview of Susan Stellijess by Stephanie Mackey on March 6th, 2010.

The interview index is available for download.