Shoot yield drives phosphorus use efficiency in Brassica oleracea and correlates with root architecture traits

The environmental and financial costs of using inorganic phosphate fertilizers to maintain crop yield and quality are high. Breeding crops that acquire and use phosphorus (P) more efficiently could reduce these costs. The variation in shoot P concentration (shoot-P) and various measures of P use efficiency (PUE) were quantified among 355 Brassica oleracea L. accessions, 74 current commercial cultivars, and 90 doubled haploid (DH) mapping lines from a reference genetic mapping population. Accessions were grown at two or more external P concentrations in glasshouse experiments; commercial and DH accessions were also grown in replicated field experiments. Within the substantial species-wide diversity observed for shoot-P and various measures of PUE in B. oleracea, current commercial cultivars have greater PUE than would be expected by chance. This may be a consequence of breeding for increased yield, which is a significant component of most measures of PUE, or early establishment. Root development and architecture correlate with PUE; in particular, lateral root number, length, and growth rate. Significant quantitative trait loci associated with shoot-P and PUE occur on chromosomes C3 and C7. These data provide information to initiate breeding programmes to improve PUE in B. oleracea.

US inflation expectations and heterogeneous loss functions, 1968-2010

Recent literature has suggested that macroeconomic forecasters may have asymmetric loss functions, and that there may be heterogeneity across forecasters in the degree to which they weigh under- and over-predictions. Using an individual-level analysis that exploits the Survey of Professional Forecasters respondents’ histogram forecasts, we find little evidence of asymmetric loss for the inflation forecasters

Human monstrosity: rape, ambiguity and performance in Rosemary’s Baby (Roman Polanski, 1968)

The narrative of Rosemary’s Baby hinges on a central hesitation between pregnancy induced madness and the existence of Satanism. Accordingly, the monstrous element is embodied in both the real and the supernatural: Rosemary’s husband Guy (John Cassavetes) is responsible for her victimisation through rape in either explanation. However, I will argue that the inherent ambiguity of the plot makes it difficult to place him as such a figure typical to the archetypal horror binaries of normality/monster, human/inhuman. By displacing generic convention the film complicates the issue of monstrosity, whilst simultaneously offering the possibility for the depiction of female experience of marriage to be at the centre of the narrative, for the real to be possibly of more significance than the supernatural. Previous writing has tended to concentrate on Rosemary and her pregnancy, so through detailed consideration of Cassavetes’ performance and its placement in the mise-en-scène this focus on Guy aims to demonstrate that he changes almost as much as Rosemary does. The chapter will focus on the film’s depiction of rape, during Rosemary’s nightmare and after it, in order to demonstrate how the notion of performance reveals Guy’s monstrousness and the difficulties this represents in our engagement with him.

The lake-dwellings in Holderness, East Yorkshire, revisited: a journey into antiquarian and contemporary wetland archaeology

The story presented in this paper began in the 1880s with the discovery of five unusual wet sites in the low-lying region of Holderness, East Yorkshire, during drainage works: West Furze, Round Hill, Barmston Drain, Gransmoor and Kelk (fig 1). The changing interpretation of the significance of these wet sites, from contemporary local accounts to their 'expert' publication early in the twentieth century (Smith 791I), contributed to the tale of the Holderness lake-dwellings, echoing the then already famous lake-dwellings of the Alpine region and elsewhere in Europe (Keller 1878). The tale of the Holderness lake-dwellings survived more recent work intact, as excavators approached the sites without challenging the preconception of these being genuine lake settlements (eg Varley 1968).

The TIGGE project and its achievements

TIGGE was a major component of the THORPEX (The Observing System Research and Predictability Experiment) research program, whose aim is to accelerate improvements in forecasting high-impact weather. By providing ensemble prediction data from leading operational forecast centers, TIGGE has enhanced collaboration between the research and operational meteorological communities and enabled research studies on a wide range of topics. The paper covers the objective evaluation of the TIGGE data. For a range of forecast parameters, it is shown to be beneficial to combine ensembles from several data providers in a Multi-model Grand Ensemble. Alternative methods to correct systematic errors, including the use of reforecast data, are also discussed. TIGGE data have been used for a range of research studies on predictability and dynamical processes. Tropical cyclones are the most destructive weather systems in the world, and are a focus of multi-model ensemble research. Their extra-tropical transition also has a major impact on skill of mid-latitude forecasts. We also review how TIGGE has added to our understanding of the dynamics of extra-tropical cyclones and storm tracks. Although TIGGE is a research project, it has proved invaluable for the development of products for future operational forecasting. Examples include the forecasting of tropical cyclone tracks, heavy rainfall, strong winds, and flood prediction through coupling hydrological models to ensembles. Finally the paper considers the legacy of TIGGE. We discuss the priorities and key issues in predictability and ensemble forecasting, including the new opportunities of convective-scale ensembles, links with ensemble data assimilation methods, and extension of the range of useful forecast skill.