580 research outputs found

    Improving control of storage diseases on apple by combining biological and physical post-harvest methods

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    Post-harvest non-chemical treatments consists of a large range of different approaches, including strengthening of the commodity’s natural defence mechanisms, thermotherapy, application of antagonistic microorganisms and natural antimicrobial substances. NEX0101 is a promising antagonistic biocontrol agent containing the yeast Candida oleophila as the active ingredient. NEX0101 was developed by Bionext, a spin-off from the laboratory of Dr. H. Jijakli, and is currently evaluated for commercial use. The product contains a yeast strain isolated from apple fruit and was originally developed for the control of post-harvest diseases on apple. The antifungal effectiveness of this antagonist can be increased by addition of calcium salts. As the mode of action of this yeast is based on the colonisation of wounds, the mean targets of NEX0101 are blue mould, caused by Penicillium expansum, and grey mould, caused by Botrytis cinerea. Facing possible latent infections, thermotherapy by using hot water treatments could provide an advanced control towards lenticelrot (Gloeosporium spp.). A combination of both physical and biological treatment techniques could broaden the spectrum to all key pathogens on apple and pear. The use of NEX0101 for the control of P. expansum was examined in combination with calcium gluconate. According to the results the combination NEX0101 with calcium gluconate provides an advanced mould control towards P. expansum The best results were achieved using NEX0101 in combination with post-harvest dipping by thermotherapy. The hot water treatment alone was clearly inefficient towards wound parasite P. expansum, on the contrary thermotherapy stimulates the decay caused by this postharvest pathogen. For the future a combination of biological and physical treatments could offer a worthy non-chemical alternative for organic and integrated fruit growers towards fruit rot decay, although more research is necessary to implement these methods in practice

    Evaluation of the users value of salts against apple scab and powdery mildew for fruit production

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    The research was aimed at finding anti resistance strategies for Integrated fruit growing. As the salts tested may be approvable for organic farming, the trial results are also of value for the development of scab an mildew control strategies for organic fruit growing. As new fungicides are mainly unisite action fungicides, the problem of fungicide resistance development is becoming more important every year. Combining chemical fungicides, which is the best anti-resistance strategy, is not always possible or recommended in the case when the number of available chemical fungicides are limited or a reduction in fungicide use is asked for. Therefore the use of salts as an anti-resistance strategy was looked upon. The salts evaluated were K(HCO3), KH2PO3, KHPO4 and K2SiO3. When using these salts as an anti-resistance strategy the efficacy obtained when spraying the compounds alone was often to low to be used in rotation with chemical fungicides. Only with K(HCO3)2 a good efficacy can be observed in some years. The variation in efficacy with K(HCO3)2 observed is higher for powdery mildew. K(HCO3)2 can be considered as a ideal product for scab control in organic orchards at moments of low infection risk

    Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms

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    Inductive Logic Programming considers almost exclusively universally quantied theories. To add expressiveness, prenex conjunctive normal forms (PCNF) with existential variables should also be considered. ILP mostly uses learning with refinement operators. To extend refinement operators to PCNF, we should first do so with substitutions. However, applying a classic substitution to a PCNF with existential variables, one often obtains a generalization rather than a specialization. In this article we define substitutions that specialize a given PCNF and a weakly complete downward refinement operator. Moreover, we analyze the complexities of this operator in different types of languages and search spaces. In this way we lay a foundation for learning systems on PCNF. Based on this operator, we have implemented a simple learning system PCL on some type of PCNF.learning;PCNF;completeness;refinement;substitutions

    Assessing the effect of narrative transportation, portrayed action, and photographic style on the likelihood to comment on posted selfies

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    Purpose: This research assesses the effect of narrative transportation, portrayed action, and photographic style on the likelihood to comment on posted consumer photos. Design/methodology/approach: Integrating visual semiotics and experiments, this research empirically examines the influence of consumer photos on viewers’ likelihood to comment on the visualised narrative. One pilot, three experimental, and a content analysis involve photos varying in their narrative perspective (selfie vs. elsie) and portrayed content (no product, no action, or directed action). We also test for the boundary condition of the role of the photographic style (snapshot, professional, and “parody” selfie) on the likelihood to comment on consumer photos. Findings: Viewers are more likely to comment on photos displaying action. When these photos are selfies, the effect is exacerbated. The experience of narrative transportation — a feeling of entering a world evoked by the narrative — underlies this effect. However, if a snapshot style is used (primed or manipulated) — namely, the photographic style appears genuine, unposed, unconstructed, and natural — the superior effect of selfies disappears because of greater perceived silliness of the visualised narrative. Practical implications: Managers should try to motivate consumers to take selfies portraying action if their aim is to encourage eWOM. Social implications: Organisations can effectively use consumer photos portraying consumption for educational purpose (e.g. eating healthfully, reducing alcohol use). Originality/value: This research links consumer photos and eWOM and extends the marketing literature on visual narratives, which is mainly focused on company — rather than user-generated content

    Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms

    Get PDF
    Inductive Logic Programming considers almost exclusively universally quantied theories. To add expressiveness, prenex conjunctive normal forms (PCNF) with existential variables should also be considered. ILP mostly uses learning with refinement operators. To extend refinement operators to PCNF, we should first do so with substitutions. However, applying a classic substitution to a PCNF with existential variables, one often obtains a generalization rather than a specialization. In this article we define substitutions that specialize a given PCNF and a weakly complete downward refinement operator. Moreover, we analyze the complexities of this operator in different types of languages and search spaces. In this way we lay a foundation for learning systems on PCNF. Based on this operator, we have implemented a simple learning system PCL on some type of PCNF
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