CO2-eq-emissions of organic and conventional foodstuffs in Austria

To date 74 products (in each case KONV, Bio-ZZU and, in part Bio-EU) have been evaluated: dairy products (47 products), fruit and vegetables (currently 15 products), bread products (currently 12 products). This summary only presents the results of selected products in the KONV and Bio-ZZU categories

Product-Carbon-Footprint von Lebensmitteln in Österreich: biologisch und konventionell im Vergleich

The aim of this broad conceived study was to analyse greenhouse gas emissions (GHGE) of more than 130 foodstuffs from two organic agricultural production methods (Organic premium brand and Organic EU-standard) as compared to conventional farming in Austria. The system boundaries of the life-cycle study ranged from agriculture and its upstream supply chain to the retailer, including changes in soil organic carbon (humus) and land use change. In conclusion, all organic products in both organic methods showed lower GHGE per hectare but also per kg of foodstuff than comparable, conventional products. Therefore, the product carbon footprint (PCF) of organic products was lower throughout the implemented study. Organic dairy products resulted in 10 to 21 % lower CO2-eq per kg of product than conventional foodstuffs, organic wheat bread showed 22 to 25 %, bread products 34 to 42% and organic vegetables 10 to 35 % lower CO2-eq per kg of product. Furthermore, this detailed calculation throughout the whole value chain pointed out “hot spots” of CO2-eq-emissions for producers and retailers with existing GHG reducing potentials

Sustainability assessment of organic dairy farms in mountainous areas of Austria

Dairy farming plays a major role in mountainous regions of Austria, mostly due to high proportion of grasslands. In general, Austria’s dairy farming faces challenges regarding sustainability, e.g. environmental impacts, but specifically for alpine areas low productivity and dependency on direct payments are lowering sustainability. Organic farming is considered as a strategy to overcome these challenges. Considering this general background, we analysed the sustainability performance and its main drivers of organic dairy farms in mountainous regions of Austria

Identification of novel genetic risk factors of dilated cardiomyopathy: from canine to human

BACKGROUND: Dilated cardiomyopathy (DCM) is a life-threatening heart disease and a common cause of heart failure due to systolic dysfunction and subsequent left or biventricular dilatation. A significant number of cases have a genetic etiology; however, as a complex disease, the exact genetic risk factors are largely unknown, and many patients remain without a molecular diagnosis. METHODS: We performed GWAS followed by whole-genome, transcriptome, and immunohistochemical analyses in a spontaneously occurring canine model of DCM. Canine gene discovery was followed up in three human DCM cohorts. RESULTS: Our results revealed two independent additive loci associated with the typical DCM phenotype comprising left ventricular systolic dysfunction and dilatation. We highlight two novel candidate genes, RNF207 and PRKAA2, known for their involvement in cardiac action potentials, energy homeostasis, and morphology. We further illustrate the distinct genetic etiologies underlying the typical DCM phenotype and ventricular premature contractions. Finally, we followed up on the canine discoveries in human DCM patients and discovered candidate variants in our two novel genes. CONCLUSIONS: Collectively, our study yields insight into the molecular pathophysiology of DCM and provides a large animal model for preclinical studies

Integrated annotation and analysis of genomic features reveal new types of functional elements and large-scale epigenetic phenomena in the developing zebrafish

Zebrafish, a popular model for embryonic development and for modelling human diseases, has so far lacked a systematic functional annotation programme akin to those in other animal models. To address this, we formed the international DANIO-CODE consortium and created the first central repository to store and process zebrafish developmental functional genomic data. Our Data Coordination Center (https://danio-code.zfin.org) combines a total of 1,802 sets of unpublished and reanalysed published genomics data, which we used to improve existing annotations and show its utility in experimental design. We identified over 140,000 cis-regulatory elements in development, including novel classes with distinct features dependent on their activity in time and space. We delineated the distinction between regulatory elements active during zygotic genome activation and those active during organogenesis, identifying new aspects of how they relate to each other. Finally, we matched regulatory elements and epigenomic landscapes between zebrafish and mouse and predict functional relationships between them beyond sequence similarity, extending the utility of zebrafish developmental genomics to mammals

Farm- and product-level biodiversity assessment of conventional and organic dairy production in Austria

The novel method developed for this study evaluates the impact of farming practices on farmland biodiversity, allowing for the assessment of the biodiversity potential of dairy farms at farm and product levels. We linked farming practices as pressure indicators to the species number and abundance of 11 indicator species groups (ISGs), evaluated semi-quantitatively by expert judgements. We calculated biodiversity potential based on food–web relationships between the ISGs, using Monte Carlo simulations for the analysis of uncertainty of expert assessments. We applied the assessment model to 8925 dairy farms from seven different Austrian regions, using official statistical data sets at farm level and interviews with farmers and experts. The results show that the approach can be used to identify differences in the biodiversity potential of farms and milk. Milk from organic farms received 4–79% higher biodiversity scores than milk from conventional farms in all regions. The application showed that in the case of Austrian dairy production, the approach can be used for assessments of both farms and products. However, the approach needs validation and, for product-level assessment, further development to cope with longer supply chains or compound products from different bio-geographic regions

Greenhouse gas emissions from selected Austrian dairy production systems-model calculations considering the effects of land use change

The aim of this study was to analyze various Austrian dairy production systems (PS) concerning their greenhouse gas emissions (GHGE) in a life-cycle chain, including effects of land-use change (LUC). Models of eight PS that differ, on the one hand, in their regional location (alpine, uplands and lowlands) and, on the other hand, in their production method (conventional versus organic, including traditional and recently emerging pasture-based dairy farming) were designed. In general, the GHGE-reducing effect of a higher milk yield per cow and year in conventional dairy farming cannot compensate for the advantages of organic dairy production which requires lower inputs. This is shown both for GHGE per kg of milk and GHGE per ha and year of farmland. Especially when (imported) concentrates were fed, which had been grown on former forests or grassland, e.g. soybean meal and rapeseed cake, GHGE of conventional dairy farming rose due to the effects of LUC. GHGE per kg milk varied from 0.90 to 1.17 kg CO2-eq for conventional PS, while organic PS on average emitted 11% less greenhouse gases (GHGs), the values ranging from 0.81 to 1.02CO2-eq per kg milk. Within each production method, PS with a higher milk output generally showed better results for GHGE per kg of milk produced than PS with a lower milk output. Nevertheless the latter showed clearly better results for GHGE per ha of land used, ranging from 5.2 to 7.6Mg CO2-eq per ha and year for conventional PS and from 4.2 to 6.2MgCO2-eq per ha and year for organic PS. The results of this study emphasize the importance of a complete life-cycle assessment in the evaluation of impacts that dairy PS have on the climate