Suitability of drought tolerance indices for selecting alfalfa (Medicago sativa L.) genotypes under organic farming in Austria

In eastern Austria, alfalfa is usually grown as a rainfed crop in crop rotations in organic farming systems, where year-to-year rainfall fluctuations cause different levels of drought stress. To identify the suitability of different alfalfa genotypes and drought tolerance indices, 18 contrasting alfalfa genotypes were evaluated under irrigated and rainfed conditions at the research station of the University of Natural Resources and Life Sciences (BOKU), Vienna, Austria, during 2006-08. The first study year (2006) was considered as the establishment year. Five drought tolerance selection indices were estimated based on shoot dry matter, total biomass yield and biological nitrogen fixation (BNF) data. The correlation between irrigated and rainfed performances increased (from r=-0.17 to 0.56) with decreasing stress intensity from the first to the second year. Genotypes Sitel, Plato ZS, Vlasta and NS-Banat were the best genotypes based on their performance under both conditions. Drought tolerance selection indices TOL and SSI showed high correlations (r = 0.32 to 0.81) only with rainfed performance, and SSI was the index that best identified genotypes with high yield potential under rainfed conditions. Indices STI and GMP were the ones that best identified genotypes with high performance under both conditions

Erratum to: Resummed photon spectrum from dark matter annihilation for intermediate and narrow energy resolution

In the course of working on the extension [2] of ref. [1] to Higgsino dark matter annihilation, we became aware of two mistakes and a number of typos in this article

Effects of a brief multimodal online intervention on the intention to conduct sun protective behaviours through targeting illness representations about skin cancer

__Objective:__ The incidence of skin cancer can be reduced by increasing sun protective behaviours. Based on the Common-Sense Model and the Intervention Mapping approach, a brief intervention targeting illness representations about skin cancer to increase the intention to conduct sun protective behaviours was developed and evaluated regarding its effectiveness. __Design:__ A randomized pre-post control group design with 509 healthy participants (69% women, mean age 39 years). Main outcome measures: Changes in illness representations about skin cancer (emotional representations, illness coherence, and prevention control) and the intention to conduct sun protective behaviours, i.e. UV protection and sun avoidance. __Results:__ ANCOVAs showed that the intervention increased illness coherence and perceived prevention control as well as the intention to conduct sun protective behaviours. Mediation analyses revealed that the increase in illness coherence and/or perceived prevention control partially mediated the effect of the intervention on the increase of the intention to use UV protection and to avoid sun exposure. __Conclusion:__ The intervention was successful in changing illness representations and thereby increasing the intention to conduct sun protective behaviours. The findings provide evidence for the usefulness of the Common-Sense Model in the context of illness prevention

Genetic variation and relationships among spring camelina (Camelina sativa, Brassicaceae) accessions of different origin

Camelina sativa L. is one of the oldest crops of the Brassicaceae family, first domesticated in the region of south-eastern Europe. It has regained interest as a very promising alternative oilseed crop with broad adaptability, a wide range of tolerances to pests and diseases, and low-input requirements. The genetic diversity in spring camelina proved to be limited, so the identification and characterization of genetic variations is considered very useful for development of efficient breeding programmes. The aim of the study was to use SSR markers in order to investigate genetic variation of twenty spring camelina accessions and their relatedness. Forty-five individual samples were taken from each accession and used for amplification of SSR markers P4C11, P6E4 and LIB19. The accessions expressed different levels of genetic variation, AMOVA (analysis of molecular variance) showed that 64% of the total genetic variation was attributed to variance within accessions. Genetic distance analysis indicated that there was overlapping in certain breeding programs and exchange of breeding germplasm