Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Monensin (2)
- Rumensin (2)
- Antagonism (1)
- Bayesian Estimation (1)
- Binomial Response (1)
-
- Circular Factorial and Diameter (1)
- Clinical Mastitis (1)
- Dairy Cattle (1)
- Dairy cow (1)
- Dose response analysis (1)
- Factorial Design (1)
- Generalized Linear Mixed Model (1)
- Hierarchical Bayes linear model (1)
- Hierarchical model (1)
- Isobole method (1)
- Linear Mixed Model (1)
- Linear-plateau model (1)
- Logistic Function (1)
- MCMC (1)
- Meta-analysis (1)
- Microarray (1)
- Minimum effective dose (1)
- Mixture (1)
- Multidirectional Heterogeneity (1)
- Nonoverlapping confidence interval (1)
- Potency (1)
- Synergy (1)
Articles 1 - 30 of 30
Full-Text Articles in Physical Sciences and Mathematics
The Row-Column Confounded 2MX4N Factorial Design And Its Different Fractions, Md Shamsuddin, Mian A S Adnan
The Row-Column Confounded 2MX4N Factorial Design And Its Different Fractions, Md Shamsuddin, Mian A S Adnan
Conference on Applied Statistics in Agriculture
The row-column confounded 2mX4n factorial designs and its different fractions can be constructed and analyzed using pseudo factors in the 4n portion. (Examples are shown)
The Use Of Pseudo Factors In 4N, 8N, 2MX4N, 2NX8N Factorial Designs, Md Shamsuddin, Mian A S Adnan
The Use Of Pseudo Factors In 4N, 8N, 2MX4N, 2NX8N Factorial Designs, Md Shamsuddin, Mian A S Adnan
Conference on Applied Statistics in Agriculture
The confounded factorial designs of the experiments 4n, 2mX4n, 8n, etc, and their different fractions can be constructed and analyzed using a suitable method of pseudo factors known as Rotation-Conversion Method. An example is shown.
The 3N Circular Factorial Designs: More Robust Estimate Of All Factorial Effects, Md Shamsuddin
The 3N Circular Factorial Designs: More Robust Estimate Of All Factorial Effects, Md Shamsuddin
Conference on Applied Statistics in Agriculture
A 3n circular factorial design which facilitates estimates of all factorial effects providing internal partial confounding with blocks within each of its diameters in different directions is constructed for use in analyzing the multi-directional data of different disciplines. The design possesses small error variance by eliminating the heterogeneity in different directions. An example is given.
Spatial Variability In Aggregation Based On Geostatistical Analysis, Shoufan Fang, George Z. Gertner, Guangxing Wang, Alan B. Anderson
Spatial Variability In Aggregation Based On Geostatistical Analysis, Shoufan Fang, George Z. Gertner, Guangxing Wang, Alan B. Anderson
Conference on Applied Statistics in Agriculture
This study derived the equations for computing the spatial variability in the aggregation of original maps of continuous attributes. The derivation of the equations is based on traditional statistical and geostatistical principles. The derived equations can be used to compute the variance, covariance, and spatial (auto-/cross-) covariance of the aggregated pixels and sub-areas in a given study area. Using the derived equations, the total uncertainty within a study area will not change after aggregation. For a case study, it has been shown that aggregation will reduce the values of variance/covariance and spatial covariance of the aggregated individual pixels. It was …
R2 Statistics For Mixed Models, Matthew Kramer
R2 Statistics For Mixed Models, Matthew Kramer
Conference on Applied Statistics in Agriculture
The R2 statistic, when used in a regression or ANOVA context, is appealing because it summarizes how well the model explains the data in an easy-to-understand way. R2 statistics are also useful to gauge the effect of changing a model. Generalizing R2 to mixed models is not obvious when there are correlated errors, as might occur if data are georeferenced or result from a designed experiment with blocking. Such an R2 statistic might refer only to the explanation associated with the independent variables, or might capture the explanatory power of the whole model. In the latter …
A Bayesian And Covariate Approach To Combine Results From Multiple Microarray Studies, John R. Stevens, R. W. Doerge
A Bayesian And Covariate Approach To Combine Results From Multiple Microarray Studies, John R. Stevens, R. W. Doerge
Conference on Applied Statistics in Agriculture
The growing popularity of microarray technology for testing changes in gene expression has resulted in multiple laboratories independently seeking to identify genes related to the same disease in the same organism. Despite the uniform nature of the technology, chance variation and fundamental differences between laboratories can result in considerable disagreement between the lists of significant candidate genes from each laboratory. By adjusting for known differences between laboratories through the use of covariates and employing a Bayesian framework to effectively account for between-laboratory variability, the results of multiple similar studies can be systematically combined via a meta-analysis. Meta-analyses yield additional information …
A Bayesian Random Coefficient Nonlinear Regression Model For A Split-Plot Experiment, Reid D. Landes, Trey Spencer, Ian A. Zelaya
A Bayesian Random Coefficient Nonlinear Regression Model For A Split-Plot Experiment, Reid D. Landes, Trey Spencer, Ian A. Zelaya
Conference on Applied Statistics in Agriculture
In random coefficients regression, we are often interested in the mean of a certain para-meter particular to the experimental unit (EU). When the mean depends on some treatment regimen, we are then interested in comparing the means among the different treatments. When the EUs are repeatedly measured on a variable containing information about the EU parameter, a standard procedure is to estimate each EU parameter and treat the estimates as the response variables. This is especially true when the regression model for an EU is non-linear. Often, for designed experiments with a factorial treatment structure, the estimated EU parameters are …
Evaluating The Effects Of Monensin Overdose In Dairy Cattle, Rebecca R. Hozak, James T. Symanowski, David G. Mcclary, Meliton N. Novilla, John C. Kube, R. Ken Mcguffey, John I. D. Wilkinson, Howard B. Green, Elvin E. Thomas
Evaluating The Effects Of Monensin Overdose In Dairy Cattle, Rebecca R. Hozak, James T. Symanowski, David G. Mcclary, Meliton N. Novilla, John C. Kube, R. Ken Mcguffey, John I. D. Wilkinson, Howard B. Green, Elvin E. Thomas
Conference on Applied Statistics in Agriculture
Monensin is approved as a feed additive by the FDA Center for Veterinary Medicine to increase milk production efficiency in lactating dairy cattle. To assess the effects of a gross error in mixing monensin into cattle feed, a 10-fold overdose was given for three consecutive days to naïve cows as well as cows previously dosed with monensin within the label range. Cows were evaluated during the overdose and for a subsequent 4 week observation period. Physiological variables were analyzed, including dry matter intake, body weight, body condition score, and serum chemistry profile. Production variables were analyzed, including milk yield and …
The Effect Of Monensin On Lactation Dairy Cows: A Dose Response Evaluation, Zhanglin Cui, Daniel Mowrey, Alan G. Zimmermann, James T. Symanowski, Howard B. Green, John I. D. Wilkinson
The Effect Of Monensin On Lactation Dairy Cows: A Dose Response Evaluation, Zhanglin Cui, Daniel Mowrey, Alan G. Zimmermann, James T. Symanowski, Howard B. Green, John I. D. Wilkinson
Conference on Applied Statistics in Agriculture
Monensin (Rumensin®) was fed at doses of 0, 8, 16, or 24 ppm to 966 dairy cows in nine different geographical locations in the USA and Canada. A dose response analysis was conducted on the primary variable, milk production efficiency, to determine the most appropriate dose response function, establish a minimum effective dose, and, when possible, determine a maximum effective dose. Linear mixed models (SAS® Proc Mixed v6.12) were fit to the data. Linear contrasts comparing the non-zero doses of monensin to the control were done to initially determine a minimum effective dose from the 3 non-zero design points. In …
Evaluating Clinical Mastitis In Dairy Cattle Fed Monensin, Meihua Qiao, Daniel Mowrey, Alan Zimmermann, James T. Symanowski, Howard B. Green, John I. D. Wilkinson
Evaluating Clinical Mastitis In Dairy Cattle Fed Monensin, Meihua Qiao, Daniel Mowrey, Alan Zimmermann, James T. Symanowski, Howard B. Green, John I. D. Wilkinson
Conference on Applied Statistics in Agriculture
The effect of Monensin on clinical mastitis in dairy cattle was evaluated from data collected at nine geographical clinical field trials using 966 Holstein cows and heifers in the United States and Canada. At each site, a randomized complete block design was conducted. Monensin (Rumensin®) was fed at concentrations of 0, 8, 16, or 24 ppm in a total mixed ration beginning 21 days before first calving for all nine sites, up to 7 days after second calving for six sites, and 203 days after second calving for three sites. Quarter milk samples were taken and cultured to determine the …
Modeling The Body Temperature Of Heat Stressed Holstein Lying Cows Under Two Different Cooling Processes, M. Zhou, A. M. Parkhurst, P. E. Hillman, C. N. Lee
Modeling The Body Temperature Of Heat Stressed Holstein Lying Cows Under Two Different Cooling Processes, M. Zhou, A. M. Parkhurst, P. E. Hillman, C. N. Lee
Conference on Applied Statistics in Agriculture
Heat stressed cows produce less milk. Thus, a major challenge during hot summer months is to keep the dairy barn at a comfortable temperature. Use of fans is an economical solution but the combination of both spray and fans appears to be an even more effective way to cool cows and improve the milk production than using fans alone. The goal of this study is to recommend an appropriate method for comparing the dynamics of the cooling processes. The first step is to develop a nonlinear model to characterize the thermoregulatory responses of heat stressed dairy cows when they are …
Bayesian Analysis Of Dose-Response Calibration Curves, William J. Price, Bahman Shafii
Bayesian Analysis Of Dose-Response Calibration Curves, William J. Price, Bahman Shafii
Conference on Applied Statistics in Agriculture
The statistical analysis of dose-response experiments typically models observed responses as a function of an applied dosage series. The estimated "dose-response curve" is used in predicting future responses, however, it is also commonly rewritten in an inverted form where dose is expressed as a function of the response. This modified "calibration curve" is useful in cases where observed responses are available, but their associated dosages are unknown. Traditional statistical techniques for the estimation of unknown doses from the dose-response curve are problematic, involving approximate solutions and methods. Alternatively, this type of inverse calibration problem naturally falls into the framework of …
Predicting Soil Temperatures In High Tunnels Using A Dynamic Model Based On Newtonian Law Of Cooling, Anil K. Jayaprakash, Kent M. Eskridge, Laurie Hodges, Daryl A. Travnicek
Predicting Soil Temperatures In High Tunnels Using A Dynamic Model Based On Newtonian Law Of Cooling, Anil K. Jayaprakash, Kent M. Eskridge, Laurie Hodges, Daryl A. Travnicek
Conference on Applied Statistics in Agriculture
High tunnels are low cost temporary greenhouses that are often used to extend the growing season for high value crops such as tulips, muscari, sweet pea cultivars, and hyacinth beans. Profitability depends on selection and timing of crops to optimize use of these structures. Predicting soil temperatures in high tunnels as a function of outside temperature is a critical factor in crop selection and timing. However, predicting soil temperatures is difficult because air temperatures constantly change from hour to hour and day to day. We develop a model to account for temperature dynamics in high tunnels by modifying the fundamental …
Design And Analysis Of Biological Assays Of Mixtures, Nancy Ferry, Bruce H. Stanley, Gregory Armel
Design And Analysis Of Biological Assays Of Mixtures, Nancy Ferry, Bruce H. Stanley, Gregory Armel
Conference on Applied Statistics in Agriculture
The simultaneous activity of multiple stimuli can be difficult to analyze, particularly on biological systems. However, these analyses are becoming increasingly important in drug or pesticide formulation for efficacy. This article will review techniques for the design and analysis of bioassays of mixtures. The two major techniques that will be reviewed are based upon the concepts of response and potency. Particular emphasis will be placed upon measuring levels of synergy, i.e., when the activity is greater than the sum of its parts, and antagonism, i.e., when the activity is less than would be expected. Theoretical examples will be given to …
Statistical Analysis Of Gene Expression Microarrays, Tanzy Love, Alicia Carriquiry
Statistical Analysis Of Gene Expression Microarrays, Tanzy Love, Alicia Carriquiry
Conference on Applied Statistics in Agriculture
This manuscript is composed of two major sections. In the first section of the manuscript we introduce some of the biological principles that form the bases of cDNA microarrays and explain how the different analytical steps introduce variability and potential biases in gene expression measurements that can sometimes be dificult to properly address. We address statistical issues associated to the measurement of gene expression (e.g., image segmentation, spot identification), to the correction for back-ground fluorescence and to the normalization and re-scaling of data to remove effects of dye, print-tip and others on expression. In this section of the manuscript we …
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 seventeenth annual Kansas State University Conference on Applied Statistics in Agriculture, held in Manhattan, Kansas, April 24-26, 2005.
Photo Highlights Of The 25th Kentucky Alfalfa Conference, Kentucky Alfalfa Conference
Photo Highlights Of The 25th Kentucky Alfalfa Conference, Kentucky Alfalfa Conference
Kentucky Alfalfa and Stored Forage Conference
No abstract provided.
Photos Of The 25th Kentucky Alfalfa Conference Award Winners, Kentucky Alfalfa Conference
Photos Of The 25th Kentucky Alfalfa Conference Award Winners, Kentucky Alfalfa Conference
Kentucky Alfalfa and Stored Forage Conference
No abstract provided.
Alfalfa: The Queen Of Forage Crops, It Don't Get Any Better, Warren C. Thompson
Alfalfa: The Queen Of Forage Crops, It Don't Get Any Better, Warren C. Thompson
Kentucky Alfalfa and Stored Forage Conference
For anyone who has grown or used alfalfa, there is no question but that alfalfa is the best forage crop they have dealt with. Perhaps that is one reason that we in professional agriculture have given so much special interest to the crop and why it is held in such high esteem and the position it demands in research and refinement investments over the years at the private and public sectors.
Alfalfa: Crop For The Future, N. P. Martin, R. D. Hatfield, D. R. Mertens, P. J. Weimer
Alfalfa: Crop For The Future, N. P. Martin, R. D. Hatfield, D. R. Mertens, P. J. Weimer
Kentucky Alfalfa and Stored Forage Conference
Alfalfa use by dairy cattle has decreased in recent years because of excessive nonprotein nitrogen and low fiber digestibility. Ideal attributes for plant modification of alfalfa may include those that increase milk potential per acre and/or per ton, enhance digestible NDF, improve protein content and amino acid balance, improve agronomic traits for insect protection (safer forage supply), herbicide tolerance, virus resistance, drought tolerance, cold tolerance, improved mineral availability and enhanced yield. Progress in attaining these attributes will accelerate with the use of biotechnology. Livestock and hay enterprises will benefit from alfalfa that is less prone to contain mycotoxins or toxic …
History Of Roundup Ready Alfalfa, Mark Mccaslin
History Of Roundup Ready Alfalfa, Mark Mccaslin
Kentucky Alfalfa and Stored Forage Conference
In late 1997 Forage Genetics International (FGI) and Monsanto began a joint project to develop Roundup Ready alfalfa. FGI collaborated with Montana State University to produce the first transgenic Roundup Ready alfalfa plants. The same CP4 glyphosate tolerance gene that has been effectively used in developing multiple other Roundup Ready crops, was successfully inserted into an elite FGI alfalfa plant in early 1998.
Alfalfa In Our Dairy Operation, Lee Robey
Alfalfa In Our Dairy Operation, Lee Robey
Kentucky Alfalfa and Stored Forage Conference
Welcome to Robey Farms. Our farm has been in our family for six generations. The farm was founded by my great grandfather, Herbert Robey, in 1899. Four generations live and are actively involved in the farm operation today. My mom and dad, Jane and D.L., my wife Denise and I, our oldest son Chris and his wife Jessica and three grandchildren, Jessalyn, Ethan, and Whitley, our middle son Adam and his wife Amanda, our youngest son Eli, who is a Sophomore at U.K. majoring in Ag. Economics, and my older brother Carr.
Growing Alfalfa For Wildlife, Don Ball
Growing Alfalfa For Wildlife, Don Ball
Kentucky Alfalfa and Stored Forage Conference
Alfalfa has long been recognized as a superb forage crop, which is why it is widely grown for dairy cattle, horses, sheep, and many other types of domesticated forage-consuming animals. Reasons for its popularity include wide adaptation, excellent nutritive value, good yield potential, perennial growth habit, a long growing season, and the fact that (in association with Rhizobium bacteria) it is a nitrogen-fixing legume that does not require periodic applications of nitrogen fertilizer.
Progress Towards Sclerotinia--Resistant Varieties, Paul C. Vincelli
Progress Towards Sclerotinia--Resistant Varieties, Paul C. Vincelli
Kentucky Alfalfa and Stored Forage Conference
Sclerotinia crown and stem rot (SCSR), caused by the fungus Sclerotinia trifoliorum, is one of the most important factors limiting the success of late-summer alfalfa seedings in the region. Infections of S. trifoliorum that progress into the crown of a fall-sown alfalfa plant can kill it during winter or spring green up. Stand losses by the following spring may be insignificant (1-3%) or nearly total, with 95-99% of the stand being dead (and often even rotted away and gone by spring green-up).
Alfalfa Hay For Horses (And Horse Owners!), Laurie Lawrence, Bryan Cassill
Alfalfa Hay For Horses (And Horse Owners!), Laurie Lawrence, Bryan Cassill
Kentucky Alfalfa and Stored Forage Conference
Alfalfa is one of the most common hays fed to horses in Kentucky. Other hays that are often used include timothy and orchardgrass. As a legume, alfalfa has many nutritional advantages over timothy or orchardgrass. Alfalfa hay contains more protein and calcium than grass hays and thus is an excellent source of these nutrients for broodmares and growing horses. Another legume that may be useful as a hay for horses is red clover. Nutritionally, red clover has many of the same advantages as alfalfa. However, red clover has some non-nutritional characteristics which have traditionally limited its popularity with horse owners. …
Advances In Alfalfa Seed Coating, Bill Talley
Advances In Alfalfa Seed Coating, Bill Talley
Kentucky Alfalfa and Stored Forage Conference
Seed coating for alfalfa has been available since the mid to late 70’s. Over the last 30 years, advances in the industry have made it the choice of many producers. The purpose of the coatings at that time was mainly to add weight to increase the ballistic properties and to be a carrier for the rhizobia. Through research and new technology, coatings have evolved and shown great agronomic benefits. Seed coating can provide an opportunity to supply effective quantities of needed materials to each seed, which can influence both the physical property, and the microenvironment of the seed. Coatings can …
Impact Of Alfalfa In Lincoln County, Dan Grigson
Impact Of Alfalfa In Lincoln County, Dan Grigson
Kentucky Alfalfa and Stored Forage Conference
Lincoln County is located 45 miles south of Lexington, Kentucky. It is part of 3 geographical regions of the state-the outer Bluegrass, the Knobs, and the Eastern Pennyroyal area. Thus the land ranges from moderate sloping fields that can be row cropped to fields that are nearly too steep to mow. The majority of the land is best suited for hay and pasture production. The soil fertility is moderately high with limestone, sandstone, shale and siltstone parent material. The land is very well suited to growing very productive forage crops.
Teaching Stand Management Using Virtual Alfalfa Plants, S. Ray Smith, Lars Muendermann, Av Singh
Teaching Stand Management Using Virtual Alfalfa Plants, S. Ray Smith, Lars Muendermann, Av Singh
Kentucky Alfalfa and Stored Forage Conference
A ‘virtual’ alfalfa plant model was developed at the University of Manitoba in Canada as part of a comprehensive grazing research project. This model shows an alfalfa plant ‘growing’ on a computer screen and the plant’s response to grazing (similar to time-lapse photography). The original model was designed and constructed by Av Singh to show the research potential of visually modeling alfalfa plant growth. The ability to visually ‘grow’ a plant on a computer screen also provides an excellent teaching and extension tool.
Kentucky Alfalfa Conference 25th Anniversary, Garry D. Lacefield
Kentucky Alfalfa Conference 25th Anniversary, Garry D. Lacefield
Kentucky Alfalfa and Stored Forage Conference
Today marks the 25th consecutive year we have come together for a full day’s conference featuring "Alfalfa - Queen of the Forages" as the theme and focal point. Only one other state in the U.S. has such an annual event.
Foreword And Recipients Of Kentucky Alfalfa Awards [2005], Garry D. Lacefield, Christi L. Forsythe
Foreword And Recipients Of Kentucky Alfalfa Awards [2005], Garry D. Lacefield, Christi L. Forsythe
Kentucky Alfalfa and Stored Forage Conference
No abstract provided.