The share of major livestock types (equidae, cattle, sheep, goats, pigs and poultry) in total livestock population expressed in livestock units (LSU); based on Farm Structure Survey data.

This CD consists of a series of data files and SAS and SPSS code files containing the Public Use Microdata Sample L. It was produced by the U.S. Bureau of the Census under contract with the Louisiana Population Data Center, LSU Agricultural Center. PUMS-L contains a unique labor market area (LMA) geography delineated by Charles M. Tolbert (LSU) and Molly Sizer (University of Arkansas). PUMS-L is a minimum 0.25 percent sample. Like all PUMS geographic units, the labor market areas must have a population of at least 100,000 persons. To avoid having as few as 250 cases in smaller LMAs, the Bureau made an effort to supply at least 2000 person records per LMA. Inclusion of these additional person records resulted in a 0.45 percent sample. Sampling weights are included in the file that compensate for this oversampling of smaller LMAs. The resulting file contains information on 519,237 households and 1,139,142 persons. Weighted totals are: households - 101,916,857, persons - 248,709,867. This CD-ROM edition of PUMS-L was prepared and mastered by the Louisiana Population Data Center. The files on this CD-ROM are organized in several directories. These directories contain raw PUMS-L data files, equivalency files that document the labor market area geography, Atlas Graphics files that can be used to produce maps, and compressed, rectangularized SAS and SPSS-PC system files. One of the SAS files is an experienced civilian labor force extract that may facilitate research on labor market issues. Also included are SAS and SPSS programs configured for PUMS-L.

Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

Prevalence of studied Ceratomyxa spp. in the fish host samples identified by PCR with general Ceratomyxa SSU rDNA, LSU rDNA and longer ITS region primers and species-specific shorter ITS-based PCR screening.

All measurements are in μm and in the form mean±S.D. (range).

Bees play a key role in the functioning of human-modified and natural ecosystems by pollinating agricultural crops and wild plant communities. Global pollinator conservation efforts need large-scale and long-term monitoring to detect changes in species’ demographic patterns and shifts in bee community structure. The objective of this project was to test a molecular sequencing pipeline that would utilize a commonly used locus, produce accurate and precise identifications consistent with morphological identifications, and generate data that are both qualitative and quantitative. We applied this amplicon sequencing pipeline to native bee communities sampled across Conservation Reserve Program (CRP) lands and native grasslands in eastern North Dakota. We found the 28S LSU locus to be more capable of discriminating between species than the 18S SSU rRNA locus, and in some cases even resolved instances of cryptic species or morphologically ambiguous species complexes. Overall, we found the amplicon sequencing method to be a qualitatively accurate representation of the sampled bee community richness and species identity, especially when a well-curated database of known 28S LSU sequences is available. Both morphological identification and molecular sequencing revealed similar patterns in native bee community structure across CRP lands and native prairie. Additionally, a genetic algorithm approach to compute taxon-specific correction factors using a small subset of the most concordant samples demonstrated that a high level of quantitative accuracy could be possible if the specimens are fresh and processed soon after collection. Here we provide a first step to a molecular pipeline for identifying insect pollinator communities. This tool should prove useful for future national monitoring efforts as use of molecular tools becomes more affordable and as numbers of 28S LSU sequences for pollinator species increase in publicly-available databases.

Comparison of BRT, RF, and KNN by the RMSPE for LSU across different size farms.