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Articles 1 - 12 of 12
Full-Text Articles in Life Sciences
Spectral Procedures Enhance The Analysis Of Three Agricultural Time Series, D. Meek, J. Prueger, M. Tomer, R. Malone
Spectral Procedures Enhance The Analysis Of Three Agricultural Time Series, D. Meek, J. Prueger, M. Tomer, R. Malone
Conference on Applied Statistics in Agriculture
Many agricultural and environmental variables are influenced by cyclic processes that occur naturally. Consequently their time series often have cyclic behavior. This study develops time series models for three different phenomena: (1) a 60 year-long state annual average crop yield record, (2) a four year-long daily stream flow record with values aggregated to weekly averages, and (3) a half-hour long wind speed record sampled at 10 hertz with values aggregated to 0.5 min averages. Trend tests, simple high pass filtering, and spectral analysis on original and detrended and residual data series are used to guide model development. Next, as a …
Sample Size Determination In Animal Health Studies, Zhanglin Cui, Alan G. Zimmermann, Daniel H. Mowrey
Sample Size Determination In Animal Health Studies, Zhanglin Cui, Alan G. Zimmermann, Daniel H. Mowrey
Conference on Applied Statistics in Agriculture
Oftentimes in animal health studies, a treatment group is randomly assigned to a pen of animals, and the pen of animals as a whole is treated (fed the same medicated feed or water) together. In this scenario, the pen of animals is the experimental unit and the individual animal may be an observational unit. In addition to having the pen as the experimental unit, if multiple sites are used and site is treated as a random factor, this adds complexity to the study. To properly design the study, it is necessary to determine the number of animals in a pen, …
Using A Nonlinear Crossed Random Effects Model With Three-Way Treatment Structure For Describing Circadian Patterns Of Serum Prolactin Concentrations In Heat Stressed Holsteins, M. Zhou, A. M. Parkhurst, B. C. Pollard, R. J. Collier
Using A Nonlinear Crossed Random Effects Model With Three-Way Treatment Structure For Describing Circadian Patterns Of Serum Prolactin Concentrations In Heat Stressed Holsteins, M. Zhou, A. M. Parkhurst, B. C. Pollard, R. J. Collier
Conference on Applied Statistics in Agriculture
A modified Gaussian model with three-level crossed and nested random effects is used to describe circadian patterns of serum prolactin concentrations in a crossover experiment. Testing of three-way treatment effects and carryover effects are incorporated with the model building process as is the within-group correlation. We found that the interaction between environment and parity had significant effect (p<0.05) on both initial serum prolactin concentration and range of the prolactin concentration. There was no significant effect of recombinant bovine somatotropin (rbST) on either the initial value or concentration of serum prolactin. The inclusion of carryover effects in the model significantly improves the fit of the multilevel nonlinear mixed effects model. We present in detail a general approach to nonlinear crossed random effects model building and three-way treatment effects testing.
Using Nonlinear Fixed And Mixed Models With Switching Functions To Allow For Hormesis In Growth Of Escherichia Coli, C. Tu, A. M. Parkhurst, L. M. Durso, R. W. Hutkins
Using Nonlinear Fixed And Mixed Models With Switching Functions To Allow For Hormesis In Growth Of Escherichia Coli, C. Tu, A. M. Parkhurst, L. M. Durso, R. W. Hutkins
Conference on Applied Statistics in Agriculture
Individual Escherichia coli (E. coli) strains can be characterized by measuring growth rate. Strains better adapted to the environment are expected to grow faster. Classic bacterial growth curves display an increase in optical density over time. In this paper, we use the logistic function to model growth in optical density of E. coli over time. We examine 16 curves for 8 E. coli strains originally isolated from cattle and found many curves have a paradoxical dip at the beginning that is indicative of hormesis (an initial contrarian response showing, stimulation or suppression of growth). We examine several switching functions that …
Tolerance Intervals For Gene Flow Rates From Transgenic To Non-Transgenic Wheat And Corn Using A Logistic Regression Model With Random Location Effects, Samuel Broderick, Phillip Chapman, Patrick Byrne, Todd Gaines
Tolerance Intervals For Gene Flow Rates From Transgenic To Non-Transgenic Wheat And Corn Using A Logistic Regression Model With Random Location Effects, Samuel Broderick, Phillip Chapman, Patrick Byrne, Todd Gaines
Conference on Applied Statistics in Agriculture
Crop scientists and government regulators are interested in mediating pollen flow from transgenic crops to other crops and weed species. To this end, a multi-year, multilocation series of experiments was conducted in eastern Colorado by the Department of Soil and Crop Sciences at Colorado State University. These experiments were done to estimate the distance required between plots of transgenic corn and wheat and plots of the respective non-transgenic crop to obtain at most a regulated limit of cross-pollination. The experiments involved planting a rectangle of transgenic crop in the middle of a non-transgenic field and measuring the proportion of cross-pollinated …
Adjusting Population Estimates For Genotyping Error In Non-Invasive Dna-Based Mark-Recapture Experiments, Shannon M. Knapp, Bruce A. Craig
Adjusting Population Estimates For Genotyping Error In Non-Invasive Dna-Based Mark-Recapture Experiments, Shannon M. Knapp, Bruce A. Craig
Conference on Applied Statistics in Agriculture
DNA from non-invasive sources is increasingly being used as molecular tags for markrecapture population estimation. These sources, however, provide small quantities of often contaminated DNA, which can lead to genotyping errors that will bias the population estimate. We describe a novel approach, called Genotyping Uncertainty Added Variance Adjustment (GUAVA), to address this problem. GUAVA incorporates an explicit model of genotyping error to generate a distribution of complete-information capture histories that is used to estimate the population size. This approach both reduces the genotyping-error bias and incorporates the additional uncertainty due to genotyping error into the variance of the estimate. We …
Selection Of Blocked Two-Level Fractional Factorial Designs For Agricultural Experiments, Weiming Ke, Cuirong Ren, Huitian Lu
Selection Of Blocked Two-Level Fractional Factorial Designs For Agricultural Experiments, Weiming Ke, Cuirong Ren, Huitian Lu
Conference on Applied Statistics in Agriculture
Blocked two-level fractional factorial designs are a very useful tool for efficient data collection in agricultural and other scientific research. In most experiments, in addition to the main effects, some two-factor interactions are also meaningful and need to be estimated. We propose a method for efficiently selecting blocked two-level fractional factorial designs when some of the two-factor interactions are non-negligible. We then present some results for a design with only 8 or 16 runs to illustrate how to use this method.
Specifications Of A Prototype Software System For Developing Variable-Rate Treatment Prescriptions For Use In Precision Agriculture, Kevin S. Mccarter, Eugene Burris, George A. Milliken, Ernest L. Clawson, Hoi Yee Wong, Jeffrey L. Willers
Specifications Of A Prototype Software System For Developing Variable-Rate Treatment Prescriptions For Use In Precision Agriculture, Kevin S. Mccarter, Eugene Burris, George A. Milliken, Ernest L. Clawson, Hoi Yee Wong, Jeffrey L. Willers
Conference on Applied Statistics in Agriculture
This paper discusses the process of developing variable-rate treatment prescriptions and gives specifications for a prototype software system for implementing that process. The process is based on statistical analysis of data from embedded field trials, and incorporates producer preferences in determining a treatment prescription. The system can be used by researchers in agricultural research stations for developing prescriptions for commercial agricultural producers. The specifications provided are general enough to be implemented using a variety of statistical and database packages that are available to researchers. In addition to these specifications we provide online access to source code for implementing the system …
Using The Cumulative-Size Mechanistic Model For Analyzing Insect Data, T. I. Matis, J. H. Matis, G .J. Michels Jr., M. N. Parajulee
Using The Cumulative-Size Mechanistic Model For Analyzing Insect Data, T. I. Matis, J. H. Matis, G .J. Michels Jr., M. N. Parajulee
Conference on Applied Statistics in Agriculture
Two data sets of aphid abundance are analyzed using a new cumulative-size based mechanistic model. The first data set pertains to the cotton aphid, and its analysis demonstrates the power of the mechanistic model-based approach. The second data set pertains to greenbug populations, and its analysis shows the key role that birth and death rate coefficients may play in predicting the peak and the cumulative population sizes.
Alternative Estimation Techniques For Assessing Probability Of Frost Damage In Subalpine Fir Trees, William J. Price, Bahman Shafii, Danny L. Barney
Alternative Estimation Techniques For Assessing Probability Of Frost Damage In Subalpine Fir Trees, William J. Price, Bahman Shafii, Danny L. Barney
Conference on Applied Statistics in Agriculture
Subalpine fir (Abies lasiocarpa var. lasiocarpa) is commonly used for nursery stock and Christmas tree applications. Spring frost damage to new buds, however, can jeopardize the longterm investment of growers and reduce the quality of the resulting fir trees. Hence, it is important to evaluate the risk of frost damage when considering prospective growing sites. A prediction model for bud development based on heat units can be used in conjunction with historical climate data to assess the likelihood of frost damage. That is, given the probability of a frost event at a given location and time, and the corresponding probability …
Tridimensional Regression, Kendra Schmid, David Marx, Ashok Samal
Tridimensional Regression, Kendra Schmid, David Marx, Ashok Samal
Conference on Applied Statistics in Agriculture
Shape analysis is useful for a wide variety of disciplines and has many applications. There are many different approaches to shape analysis, one of which focuses on the analysis of shapes that are represented by the coordinates of predefined landmarks on the object. This paper introduces Tridimensional Regression, a technique that can be used for mapping images and shapes that are represented by sets of three-dimensional landmark coordinates. The degree of similarity between shapes can be quantified using the tridimensional coefficient of determination (R2). An experiment was conducted to evaluate the effectiveness of this technique to correctly match …
Editor's Preface And Table Of Contents, John E. Boyer Jr.
Editor's Preface And Table Of Contents, John E. Boyer Jr.
Conference on Applied Statistics in Agriculture
These proceedings contain papers presented in the nineteenth annual Kansas State University Conference on Applied Statistics in Agriculture, held in Manhattan, Kansas, April 27-May 1, 2007.