The role of governance in agricultural expansion and intensification: a global study of arable agriculture

In this research we studied empirical relationships between agricultural production dynamics and six quantitative World Bank governance indicators for 173 countries between 1975 and 2007. It is hypothesized that in countries with lower quality of governance, agricultural production increases are more likely to be achieved by area expansions than by increases in yields. We distinguished four groups of countries: those with both area and yield increases; those with increasing yields but decreasing area; those with decreasing yields but a growing area; and those with both declines in yields and area. We analyzed differences between these four groups, and also analyzed governance-production relationships within these groups. On average, quality of governance is low in countries with both area and yield increases and high in countries with increasing yields but decreasing area. Countries with declining yields were too few in number to allow for quantitative analyses. The analysis of governance-production relationships within the four groups suggests that countries with a lower quality of governance are more inclined to achieve production increases by expanding agricultural area rather than increasing yields. Additional explanatory value of governance indicators to agricultural production dynamics is generally small, but nevertheless significant in most cases. Our results suggest that, in order for agricultural production to increase without excessive expansions of agricultural area, governance issues should be resolve

Expansief leren van een schoolorganisatie:Een activiteitstheoretisch model voor de basisschool

Miedema, S. [Promotor]Oers, H.J.M. van [Promotor

Photoelectrochemical Characterization of Nanocrystalline ZnS :Mn^(2+) Layers

Measurements of the photoelectrochemical properties of nanocrystalline ZnS electrodes doped with Mn^(2+) are presented and discussed. The observation of both anodic and cathodic photocurrent is direct evidence for the nanocrystalline nature of the system. In-situ photoluminescence measurements showed stable Mn^(2+) related photoluminescence over a large potential range. Due to the unfavourable kinetics of electron and hole transfer across the interface between the nanocrystallites and solution, it is concluded that recombination accounts for most of the charge carriers generated by illumination. Breakdown of the ZnS into elementary Zn and S^(2-) in solution was also observed at negative potential. This breakdown introduces new non-radiative decay paths and is responsible for the slow luminescence decrease as a function of operating time

Comparison of three modelling approaches to simulate regional crop yield:a case study of winter wheat yield in western Germany

The need for more comparisons among models is widely recognized. This study aimed to compare three different modelling approaches for their capability to simulate and predict trends and patterns of winter wheat yield in Western Germany. The three modelling approaches included an empirical model, a process-based model (LINTUL2), and a metamodel derived from the process-based model. The models outcomes were aggregated to general climate zones level of Western Germany to allow for a comparison with agricultural census data for validation purposes. The spatial patterns and temporal trends of winter wheat yield seemed to be better represented by the empirical model (R2= 70%, RMSE= 0.48 t ha-1 yr-1, and CV-RMSE= 8%) than by the LINTUL2 model (R2= 65%, RMSE= 0.67 t ha-1 yr-1, and CV-RMSE=11%) and the metamodel (R2= 57%, RMSE= 0.77 t ha-1 yr-1, and CV-RMSE=13%). All models demonstrated a similar order of magnitude of yield prediction and associated uncertainties. The suitability of the three models is context dependent. Empirical modelling is most suitable to analyze and project past and current crop-yield patterns, while crop growth simulation models are more suited for future projections with climate scenarios. The derived metamodels are fast reliable alternatives for areas with well calibrated crop growth simulation models. A model comparison helps to reveal shortcomings and strengths of the models. In our case, a performance comparison between the three modelling approaches indicated that, for simulating winter wheat growth in Western Germany, higher sensitivity to soil depth and lower sensitivity to drought in the LINTUL2 model would probably lead to better predictions. <br/

Genetic methods for Rapid Detection of Medically Important Nosocomial Bactera

The role of the microbiology laboratory is (1) to provide infection control information, so that highly transmissible isolates may be identified and appropriate control measures instigated as rapidly as possible and (2) to provide adequate information to the clinician enabling correct antibiotic choices to be made, particularly in the critically ill. Microbiological data is by definition slow as it is culture dependent: this study focused on the development of genetic, culture-independent methods for detection of resistance in nosocomial pathogens that could be introduced into the routine microbiology department and would fit into the routine workflow with a consequent reduction in time to result. Initially a duplex real-time polymerase chain reaction was developed for the rapid identification and detection of S. aureus and methicillin-resistance. This was optimised for immediate as-needs testing of positive blood cultures signalling with “Gram positive cocci, possibly staphylococcus” evident on Gram stain, on a random access real-time PCR platform. This technology, allowing early identification of S. aureus and its susceptibility to methicillin, by simple automated methodology, may soon become the standard for all microbiology laboratories servicing the critically ill. The second part of the study involved the development of a selective broth and multiplex PCR for detection of three important nosocomial isolates at this institution, methicillin-resistant S. aureus (MRSA), carbapenem-resistant Enterobacteriaceae, and multi-resistant Acinetobacter baumannii (MRAB). A multiplex PCR using four primer sets was designed to detect low colonisation levels of these isolates after overnight incubation in selective broth, significantly reducing the time to result and associated costs. This potentially useful epidemiological screening tool is practical, reproducible and sensitive with the potential of moving to an automated test (using real-time PCR, for example) in the future. The availability of early negative results judged by simple visual scanning (or by densitometry), means that the result is less operator-dependent, potentially reducing error rate. The last part of the study dealt with an important resistance phenotype, aminoglycoside resistance. There had been no recent comprehensive local surveys performed to determine the frequency of aminoglycoside resistance amongst the Enterobacteriaceae, or to identify the genetic determinants and their transmissibility. The isolates collected for the study were all resistant to at least one of gentamicin, tobramycin or amikacin. Identification of integron cassette arrays and use of specific internal primers identified at least one genetic determinant for gentamicin and tobramycin resistance in 22 of 23 isolates. Three isolates had two aminoglycoside resistance genes, and three isolates had three aminoglycoside resistance genes identified (Table 6.1). Transferable gentamicin-resistant plasmids were predominant amongst Klebsiella spp., but less so amongst Enterobacter spp. and E. coli. Gentamicin-resistant Klebsiella spp. were often ESBL positive, the genetic determinants of which were typically co-transferred on a conjugative plasmid. The importance of screening at a local level was demonstrated by the unexpected predominance of aac(6')-IIc amongst Enterobacter spp. and the detection of a new gene (aac(6')-LT). This part of the study has provided an understanding of the primary aminoglycoside resistance genes present in the local setting and their association with other resistances. This knowledge will allow development of assays for patient screening (clinical isolates and colonising flora), to better understand the epidemiology of aminoglycoside resistance and to allow better choice of antibiotic therapy related to presence or absence of these genes

Job Resources Boost Work Engagement, Particularly When Job Demands Are High

This study of 805 Finnish teachers working in elementary, secondary, and vocational schools tested 2 interaction hypotheses. On the basis of the job demands–resources model, the authors predicted that job resources act as buffers and diminish the negative relationship between pupil misbehavior and work engagement. In addition, using conservation of resources theory, the authors hypothesized that job resources particularly influence work engagement when teach