82 research outputs found

    DETERMINANTS OF KANSAS FARMERS' PARTICIPATION IN ON-FARM RESEARCH

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    On-farm research (OFR) has increased in popularity in the U.S. in recent years due to heightened interest in sustainability issues, the likely decline in resources available for agricultural research, and increasing pressures for accountability and responsiveness to state and local needs. Information relating to OFR was obtained from 431 commercial Kansas farmers. Data were analyzed to determine the degree of OFR being implemented, and three models were estimated to identify which farmer/farm characteristics influenced its implementation. The results indicate that OFR is commonly implemented, and that several farm/farmer characteristics are related to the degree of OFR initiated. It is proposed that to maximize the return from externally initiated OFR, there would be merit in focusing attention on farms/farmers with those characteristics.Farmer attitudes, Farmer participation, Farming systems research, On-farm research, Sustainable agriculture, Research and Development/Tech Change/Emerging Technologies,

    A novel determination of the local dark matter density

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    We present a novel study on the problem of constructing mass models for the Milky Way, concentrating on features regarding the dark matter halo component. We have considered a variegated sample of dynamical observables for the Galaxy, including several results which have appeared recently, and studied a 7- or 8-dimensional parameter space - defining the Galaxy model - by implementing a Bayesian approach to the parameter estimation based on a Markov Chain Monte Carlo method. The main result of this analysis is a novel determination of the local dark matter halo density which, assuming spherical symmetry and either an Einasto or an NFW density profile is found to be around 0.39 GeV cm3^{-3} with a 1-σ\sigma error bar of about 7%; more precisely we find a ρDM(R0)=0.385±0.027GeVcm3\rho_{DM}(R_0) = 0.385 \pm 0.027 \rm GeV cm^{-3} for the Einasto profile and ρDM(R0)=0.389±0.025GeVcm3\rho_{DM}(R_0) = 0.389 \pm 0.025 \rm GeV cm^{-3} for the NFW. This is in contrast to the standard assumption that ρDM(R0)\rho_{DM}(R_0) is about 0.3 GeV cm3^{-3} with an uncertainty of a factor of 2 to 3. A very precise determination of the local halo density is very important for interpreting direct dark matter detection experiments. Indeed the results we produced, together with the recent accurate determination of the local circular velocity, should be very useful to considerably narrow astrophysical uncertainties on direct dark matter detection.Comment: 31 pages,11 figures; minor changes in the text; two figures adde

    Modeling Host Genetic Regulation of Influenza Pathogenesis in the Collaborative Cross

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    Genetic variation contributes to host responses and outcomes following infection by influenza A virus or other viral infections. Yet narrow windows of disease symptoms and confounding environmental factors have made it difficult to identify polymorphic genes that contribute to differential disease outcomes in human populations. Therefore, to control for these confounding environmental variables in a system that models the levels of genetic diversity found in outbred populations such as humans, we used incipient lines of the highly genetically diverse Collaborative Cross (CC) recombinant inbred (RI) panel (the pre-CC population) to study how genetic variation impacts influenza associated disease across a genetically diverse population. A wide range of variation in influenza disease related phenotypes including virus replication, virus-induced inflammation, and weight loss was observed. Many of the disease associated phenotypes were correlated, with viral replication and virus-induced inflammation being predictors of virus-induced weight loss. Despite these correlations, pre-CC mice with unique and novel disease phenotype combinations were observed. We also identified sets of transcripts (modules) that were correlated with aspects of disease. In order to identify how host genetic polymorphisms contribute to the observed variation in disease, we conducted quantitative trait loci (QTL) mapping. We identified several QTL contributing to specific aspects of the host response including virus-induced weight loss, titer, pulmonary edema, neutrophil recruitment to the airways, and transcriptional expression. Existing whole-genome sequence data was applied to identify high priority candidate genes within QTL regions. A key host response QTL was located at the site of the known anti-influenza Mx1 gene. We sequenced the coding regions of Mx1 in the eight CC founder strains, and identified a novel Mx1 allele that showed reduced ability to inhibit viral replication, while maintaining protection from weight loss

    Mudança organizacional: uma abordagem preliminar

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    Vietnamese Gold

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