Comparison of sire evaluation methods for carcass gain using field data

Four methods of predicting breeding values for carcass gain are compared: “regressed” least squares (RLSQ), mixed model (MM), mixed model with relationships among sires considered (MMR) and contemporary-comparison (CC). Very small changes in the ranking of the sires were observed from one method to another (rank correlations > 0.96). Consideration of the relationships among the sires or deleting the breed-group factor from the model did not lead to substantially different breeding values. The good correspondence of the predictors is mainly due to the well balanced distribution of the progeny over herds.     

Beef breed bulls versus selected dual purpose bulls in producing calves for meat production

The mating of small beef type bulls (Angus, Eringer) to reduce difficulties at first calvings is increasingly applied in Switzerland. In contrast to this, calf producers refuse to use large type beef bulls on their cows because of direct and indirect damages due to increased calving problems. It proved to be an attractive alternative to use specially selected dual purpose bulls tested for ease of calving and high growth rate but low dairy performance, so called M-bulls (Meat bulls), out of the regular AI testing programme for Braunvieh and Simmentals.From 1974 to 1976, Charolais, Limousin and Piemontese bulls were included in the AI testing programme and compared with Braunvieh- and Simmental-M-bulls. Data included progeny from 47 bulls, 7936 calvings, 1137 animals with carcass gains, and 130 dissected carcasses. If calving performance and net gains are considered, the M-bulls compete well with the foreign breeds. If, in addition, the amount of meat in the carcass is taken into account, then Charolais and Piemontese crosses are superior. The problem is one of distributing gains and losses among calf producers, feeders and butchers. It needs specially tested bulls with emphasis on ease of calving out of the specialized beef breeds or sire lines to persuade the dairy farmer to cross his cows.     

Comparative genomics‐informed design of two LAMP assays for detection of the kiwifruit pathogen Pseudomonas syringae pv. actinidiae and discrimination of isolates belonging to the pandemic biovar 3

The aim of this study was to develop a rapid, sensitive and reliable field‐based assay for detection of the quarantine pathogen Pseudomonas syringae pv. actinidiae (Psa), the causal agent of the most destructive and economically important bacterial disease of kiwifruit. A comparative genomic approach was used on the publicly available Psa genomic data to select unique target regions for the development of two loop‐mediated isothermal amplification (LAMP) assays able to detect Psa and to discriminate strains belonging to the highly virulent and globally spreading Psa biovar 3. Both LAMP assays showed specificity in accordance with their target and were able to detect reliably 125 CFU per reaction in less than 30 min. The developed assays were able to detect the presence of Psa in naturally infected kiwifruit material with and without symptoms, thus increasing the potential of the LAMP assays for phytosanitary use.     

A diagnostic tool for improved detection of Xanthomonas fragariae using a rapid and highly specific LAMP assay designed with comparative genomics

Molecular diagnostics of plant pathogens are crucial to prevent disease spread and to enhance food quality and security. A comparative genomics approach using genomes of different Xanthomonas species and pathovars was applied to identify highly specific targets in the genome of Xanthomonas fragariae, the causal agent of angular leaf spot of strawberry, listed under quarantine regulations in Europe. A reliable and sensitive loop‐mediated isothermal amplification (LAMP) assay was designed using a unique marker, providing a highly specific and rapid detection technique, convenient for on‐site detection. Specificity of the designed assay was tested on 37 strains from a culture collection of X. fragariae, 82 strains of other Xanthomonas species and pathovars and 11 strains of other bacterial genera isolated from strawberry leaves. A detection limit of 10² fg was achieved, approximating to 20 genome copies per reaction. When performing analyses with crude plant material, a consistent lower detection efficiency of 10² CFU mL^?1 was achieved. The LAMP assay designed in this study was adapted to work on crude plant material without any prior extensive extraction steps or incubation period; moreover, it does not require advanced analytical knowledge or a fully equipped laboratory. Results were produced within 7–20 min, depending on the pathogen concentration, thus providing a high‐throughput and user‐friendly method for detection and screening of plant material in support of quarantine regulations.     

Converting or not converting to organic farming in Austria:Farmer types and their rationale

Reasons for converting to organic farming have been studied in a number of instances. However, the underlying rationale that motivates the behavior is not always made clear. This study aims to provide a detailed picture of farmers decision-making and illustrate the choice between organic and conventional farm management. Based on 21 interviews with farmers, a decision-tree highlighting the reasons and constraints involved in the decision of farmers to use, or not to use, organic production techniques was formulated. The accuracy of the decision-tree was tested through a written survey of 65 randomly sampled farmers. The decision-tree permits the identification of decision criteria and examines the decision-making process of farmers in choosing their farming method. It also allows for the characterization of farmer strategies and values, identifying five types of farmers: the committed conventional; the pragmatic conventional; the environment-conscious but not organic; the pragmatic organic; and the committed organic. The importance of taking into account heterogeneity in farmers attitudes, preferences, and goals and their impact on the choice of a farming method is emphasized.Ika Darnhofer is an Assistant Professor at the Institute of Agricultural and Forestry Economics at the University of Natural Resources and Applied Life Sciences Vienna. She received both her MSc and PhD in Agricultural Economics from the University of Natural Resources and Applied Life Sciences Vienna, working on issues of agricultural development in Africa. Her current research interests include economic and sociological analyses of factors that shape farmers land use decision-making behavior, with a particular focus on organic farming.Walter Schneeberger is a Full Professor of Farm Business Management and Head of the Institute of Agricultural and Forestry Economics at the University of Natural Resources and Applied Life Sciences Vienna. His current research interests include the economics of producing and processing agricultural products and farm business management for both conventional and organic farms.Bernhard Freyer is a Full Professor of Organic Farming and Head of the Institute of Organic Farming of the University of Natural Resources and Applied Life Sciences Vienna. His work on organic farming focuses on its agronomic aspects (plant cultivation, crop rotations, and soil fertility) as well as on the analysis of conversion to organic farming (planning process, farm development) and its potential for regional development.     

Use of a Dose–Response Model to Study Temporal Trends in Spatial Exposure to Coxiella burnetii: Analysis of a Multiyear Outbreak of Q Fever

The Netherlands underwent a large Q fever outbreak between 2007 and 2009. In this paper, we study spatial and temporal Coxiella burnetii exposure trends during this large outbreak as well as validate outcomes against other published studies and provide evidence to support hypotheses on the causes of the outbreak. To achieve this, we develop a framework using a dose–response model to translate acute Q fever case incidence into exposure estimates. More specifically, we incorporate a geostatistical model that accounts for spatial and temporal correlation of exposure estimates from a human Q fever dose–response model to quantify exposure trends during the outbreak. The 2051 cases, with the corresponding age, gender and residential addresses, reside in the region with the highest attack rates during the outbreak in the Netherlands between 2006 and 2009. We conclude that the multiyear outbreak in the Netherlands is caused by sustained release of infectious bacteria from the same sources, which suggests that earlier implementation of interventions may have prevented many of the cases. The model predicts the risk of infection and acute symptomatic Q fever from multiple exposure sources during a multiple‐year outbreak providing a robust, evidence‐based methodology to support decision‐making and intervention design.     

Sire evaluation for milkability traits in Swiss Braunvieh

Cows were tested for milkability with standardized milking equipment. Percentage of milk from the forequarters (FQ%), average milk flow rate (AMF) in kg min^?1, quantity of hand-stripped milk (HSM) and milk yield at test day (MTD) were recorded. Records of 10 823 daughters in the first lactation of 352 sires were used to investigate environmental influences and to estimate genetic parameters. Significant effects were test season and herd production level for AMF and HSM, test person, milking equipment on the farm, month in lactation, age at calving and region for FQ%, AMF and HSM. The heritabilities were 0.34 for FQ%, 0.41 for AMF and 0.10 for HSM. The genetic correlations of MTD were 0.13 with FQ%, 0.23 with AMF and ?0.20 with HSM. The genetic correlations between FQ% and AMF and all genetic correlations with HSM were negative. Selection indices with information on average deviations of daughters' MTD, FQ%, AMF and HSM from corresponding region — herd level — season means and different economic weights were used to predict selection indices for 239 sires. The predicted breeding values were compared with simple daughter averages. The correlations were high, but large differences in ranks occurred for individual sires. Correcting AMF for milk yield removes some genetic variation in milk flow and can mask genetic differences between sires.