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    Cardinal grape parentage: a case of a breeding mistake.

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    The grapevine (Vitis vinifera L.) is one of the most widely grown fruit plant, with table grapes accounting for at least 20% of the total world production. A few traditional table grape cultivars have achieved great international prominence. Among the most important cultivars is ‘Cardinal’, an historical Californian grapevine obtained by E. Snyder and F. Harmon in 1939 by crossing ‘Flame Tokay’ (syn. ‘Ahmer Bou Amer’) with ‘Ribier’ (syn. ‘Alphonse Lavallée’) at the Horticultural Field Station of Fresno, Calif.. In the course of DNA-typing of grapevine varieties collected in Algeria and in other Mediterranean countries, we found, surprisingly, that ‘Cardinal’ could not result from this cross. Here, we present molecular genetic evidence that ‘Cardinal’ has no parentage relationship with ‘Flame Tokay’. We also show, for the first time, that ‘Flame Tokay’ is a mutant version, at the VVs5 microsatellite locus, of the table grape ‘Ahmer Bou Amer’, which is considered its synonym

    Erratum: Efficient gradient projection methods for edge-preserving removal of Poisson noise (Inverse Problems (2009) 25 (045010))

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    This file contains a complete proof of lemma 1 of the paper "Efficient gradient projection methods for edge-preserving removal of Poisson noise", 2009 Inverse Problems 25 045010

    Bayesian denoising in digital radiography : a comparison in the dental field

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    We compared two Bayesian denoising algorithms for digital radiographs, based on Total Variation regularization and wavelet decomposition. The comparison was performed on simulated radiographs with different photon counts and frequency content and on real dental radiographs. Four different quality indices were considered to quantify the quality of the filtered radiographs. The experimental results suggested that Total Variation is more suited to preserve fine anatomical details, whereas wavelets produce images of higher quality at global scale; they also highlighted the need for more reliable image quality indices
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