Simultaneous PIXE and RBS data analysis using Bayesian Inference with the DataFurnace code

The Rutherford Backscattering Spectroscopy (RBS) and Particle Induced X-ray Emission (PIXE) techniques can be used to obtain complementary information about the characteristics of a sample but, traditionally, a gap has separated the available computer codes for analyzing data from each technique, being hard to simultaneously analyze data from the same sample. The recent development of a free and open source library, LibCPIXE, for PIXE simulation and analysis of arbitrary multilayered samples, has permitted to integrate this technique into the DataFurnace code which already handles many other IBA techniques such as Rutherford and non-Rutherford backscattering, elastic recoil detection, and non-resonant nuclear reaction analysis. The fitting capabilities of DataFurnace can therefore now be applied to PIXE spectra as well, including the Bayesian Inference analysis and the simultaneous and coherent fitting of multiple spectra from different techniques. Various examples are presented in which the simultaneous RBS and PIXE analysis allows us to obtain consistent results that cannot be obtained by independent analysis of the data from each technique.Comment: 10 pages, 5 figures. Paper initially presented to IBA2005. Please cite the published version (DOI:10.1016/j.nimb.2006.03.190

Potential Impact and Management of Monilinia fructicola in an Integrated Peach Orchard

To assess the potential impact and control options for Monilinia fructicola, the alien stone fruit pathogen in Croatia, development of pre-harvest and post-harvest brown rot was monitored during 2014 and 2015 in a peach orchard where integrated pest management measures are implemented. Two experimental locations, A (younger part of the orchard with a lower elevation) and B (older part with higher elevation) were established, and conditions for infection were monitored using a forecast model for M. fructicola with PinovaSoft ® application. In 2014, symptoms of brown rot in the field were recorded only on fruits at location B, with 6.6% incidence. Monilinia spp. developed on 92.6% of stored fruits from location A and on 20.3% of stored fruits from location B. Out of 40 isolates collected from the fruits at the moment of harvest, 27% were M. fructicola, 30% were Monilinia laxa, and 43% were Monilinia fructigena. Similar percentages of three Monilinia species were determined on stored fruits. In 2015, no fruits affected with brown rot were found at the moment of harvest, but only after 21 days of storage and only on fruits from location B, with low incidence (8% fruits). M. fructicola was found on all fruits with brown rot symptoms, while M. laxa and M. fructigena were detected only on three fruits in mixed infections with M. fructicola. Despite differences in brown rot incidence between years, forecast model recorded seven infections with M. fructicola during the vegetation period in 2014 and 15 infections in 2015. Th e results are indicating that common measures against indigenous M. laxa and M. fructigena may be suitable for the control of invasive M. fructicola, and that all three Monilinia species on peach in Croatia can occur in mixed populations