AFLP analysis of genetic differentiation in CpGV resistant and susceptible Cydia pomonella (L.) populations

The codling moth, Cydia pomonella (Lep., Tortricidae), is a significant pest of orchard crops such as apple and pear in Southern Germany, and can cause severe economic damage to apple crops. Due to resistance to conventional pesticides and the growing market for organic fruit, Cydia pomonella Granulovirus (CpGV) has been used to control C. pomonella in Germany for over 10 years. Recently, populations exhibiting resistance to CpGV have been reported. In this study, we have used amplified fragment length polymorphism (AFLP) markers to estimate genetic variations between eight different C. pomonella populations, which were obtained from different locations exhibiting varying levels of resistance to CpGV. Three different AFLP primer combinations generated a total of 194 AFLP fragments, ranging from 57.84 to 424.11 bp, with an average of 59.23 amplified fragments per primer combination. The total number of segregating fragments ranged from 181 to 115 and resulted in a high loci polymorphism of 100% in most cases, except for two populations, where it was found to be 88.1% and 93.3%. An analysis of genetic variation based on the obtained AFLP markers resulted in high gene diversity (Hj) values, ranging between 0.2884 to 0.3508. Hj values also indicated a loss in gene diversity within a population over time. The Wright Fixation Index (FST) values indicated a low to moderate genetic differentiation in the populations. The cluster analysis (UPGMA), based on genetic distance values, showed that the majority of C. pomonella populations from different locations were clearly distributed into distinct groups and showed a large genetic variability

FACTORS AFFECTING REGIONAL SHIFTS OF U.S PORK PRODUCTION

The U.S. pork industry in the recent past has transferred into fewer, larger and specialized operations. Inputs availability, developments of transportation systems, technological changes, government regulations and the consumer preferences have been driving changes in the pork industry. Spatial inequalities affect the competitiveness of one region relative to other regions. This paper is focused on how these forces affect the regional competitiveness of the pork industry and movement towards larger, specialized and geographically concentrated operations. A mathematical programming model is used to analyze the effect of market forces on the pork industry structure. The results of this study show that although raising hogs in larger operations is less costly, small-sized operations in some regions still need to produce hogs to meet the demand for consumption and export. Environmental compliance cost is considered one of the major factors of industry relocation; the analysis showed that the effect of such costs was minimal. Feed costs and transportation costs play a greater role in location of production and processing. Pork operations tend to locate near the populous areas to meet the consumer demand and to minimize the transportation cost. Pressures from current and future environment regulations, moratoria and scarcity of agricultural land for manure management tend to keep the hog operations away from high population areas. A future scenario analysis suggested that the Western region of the U.S. would experience higher growth in pork production. The current trend of fewer and larger production units and location change in the pork industry will continue.Livestock Production/Industries,

Fitting theories of nuclear binding energies

In developing theories of nuclear binding energy such as density-functional theory, the effort required to make a fit can be daunting due to the large number of parameters that may be in the theory and the large number of nuclei in the mass table. For theories based on the Skyrme interaction, the effort can be reduced considerably by using the singular value decomposition to reduce the size of the parameter space. We find that the sensitive parameters define a space of dimension four or so, and within this space a linear refit is adequate for a number of Skyrme parameters sets from the literature. We do not find marked differences in the quality of the fit between the SLy4, the Bky4 and SkP parameter sets. The r.m.s. residual error in even-even nuclei is about 1.5 MeV, half the value of the liquid drop model. We also discuss an alternative norm for evaluating mass fits, the Chebyshev norm. It focuses attention on the cases with the largest discrepancies between theory and experiment. We show how it works with the liquid drop model and make some applications to models based on Skyrme energy functionals. The Chebyshev norm seems to be more sensitive to new experimental data than the root-mean-square norm. The method also has the advantage that candidate improvements to the theories can be assessed with computations on smaller sets of nuclei.Comment: 17 pages and 4 figures--version encorporates referee's comment

Compact Nuclei in Galaxies at Moderate Redshift:II. Their Nature and Implications for the AGN Luminosity Function

This study explores the space density and properties of active galaxies to z=0.8. We have investigated the frequency and nature of unresolved nuclei in galaxies at moderate redshift as indicators of nuclear activity such as Active Galactic Nuclei (AGN) or starbursts. Candidates are selected by fitting imaged galaxies with multi-component models using maximum likelihood estimate techniques to determine the best model fit. We select those galaxies requiring an unresolved point-source component in the galaxy nucleus, in addition to a disk and/or bulge component, to adequately model the galaxy light. We have searched 70 WFPC2 images primarily from the Medium Deep Survey for galaxies containing compact nuclei. In our survey of 1033 galaxies, the fraction containing an unresolved nuclear component greater than 5% of the total galaxy light is 9+/-1% corrected for incompleteness. In this second of two papers in this series, we discuss the nature of the compact nuclei and their hosts. We present the upper limit luminosity function (LF) for low-luminosity AGN (LLAGN) in two redshift bins to z=0.8. Mild number density evolution is detected for nuclei at -18 -16 and this flatness, combined with the increase in number density, is inconsistent with pure luminosity evolution. Based on the amount of density evolution observed for these objects, we find that almost all present-day spiral galaxies could have hosted a LLAGN at some point in their lives. We also comment on the likely contribution of these compact nuclei to the soft X-ray background.Comment: 50 pages, 14 figures, to appear in ApJ, April 199

Spectral structure and decompositions of optical states, and their applications

We discuss the spectral structure and decomposition of multi-photon states. Ordinarily `multi-photon states' and `Fock states' are regarded as synonymous. However, when the spectral degrees of freedom are included this is not the case, and the class of `multi-photon' states is much broader than the class of `Fock' states. We discuss the criteria for a state to be considered a Fock state. We then address the decomposition of general multi-photon states into bases of orthogonal eigenmodes, building on existing multi-mode theory, and introduce an occupation number representation that provides an elegant description of such states that in many situations simplifies calculations. Finally we apply this technique to several example situations, which are highly relevant for state of the art experiments. These include Hong-Ou-Mandel interference, spectral filtering, finite bandwidth photo-detection, homodyne detection and the conditional preparation of Schr\"odinger Kitten and Fock states. Our techniques allow for very simple descriptions of each of these examples.Comment: 12 page

Laser photogrammetry reveals variation in growth and early survival in free-ranging bottlenose dolphins

Acknowledgements Many thanks to the Chicago Zoological Society team for their assistance during photo-identification surveys in Sarasota, Florida and the Scottish Marine Animal Stranding Scheme and University of North Carolina Wilmington Marine Mammal Stranding Program for providing measurements of stranded bottlenose dolphins. Thanks to Holly Fearnbach and Isla Graham for statistical advice, to Hera Sengers and all our fieldwork assistants for their fieldwork support and to four anonymous reviewers who kindly provided comments on the manuscript. Scottish Natural Heritage, Department of Energy and Climate Change, Beatrice Offshore Windfarm Ltd, Moray Offshore Renewables Ltd, Marine Scotland, The Crown Estate and Highlands and Islands Enterprise all provided funding for photo-identification surveys. Survey work was conducted under Scottish Natural Heritage Animal Scientific LicencesPeer reviewedPublisher PD

Myosin-I nomenclature.

We suggest that the vertebrate myosin-I field adopt a common nomenclature system based on the names adopted by the Human Genome Organization (HUGO). At present, the myosin-I nomenclature is very confusing; not only are several systems in use, but several different genes have been given the same name. Despite their faults, we believe that the names adopted by the HUGO nomenclature group for genome annotation are the best compromise, and we recommend universal adoption

Positive approximations of the inverse of fractional powers of SPD M-matrices

This study is motivated by the recent development in the fractional calculus and its applications. During last few years, several different techniques are proposed to localize the nonlocal fractional diffusion operator. They are based on transformation of the original problem to a local elliptic or pseudoparabolic problem, or to an integral representation of the solution, thus increasing the dimension of the computational domain. More recently, an alternative approach aimed at reducing the computational complexity was developed. The linear algebraic system $\cal A^\alpha \bf u=\bf f$, $0< \alpha <1$ is considered, where $\cal A$ is a properly normalized (scalded) symmetric and positive definite matrix obtained from finite element or finite difference approximation of second order elliptic problems in $\Omega\subset\mathbb{R}^d$, $d=1,2,3$. The method is based on best uniform rational approximations (BURA) of the function $t^{\beta-\alpha}$ for $0 < t \le 1$ and natural $\beta$. The maximum principles are among the major qualitative properties of linear elliptic operators/PDEs. In many studies and applications, it is important that such properties are preserved by the selected numerical solution method. In this paper we present and analyze the properties of positive approximations of $\cal A^{-\alpha}$ obtained by the BURA technique. Sufficient conditions for positiveness are proven, complemented by sharp error estimates. The theoretical results are supported by representative numerical tests