1,721,040 research outputs found
Characterization and evaluation of microsatellite loci in European hazelnut (Corylus avellana L.) and their transferability to other Corylus species.
DNA typing and genetic relationship among European hazelnut (Corylus avellana L.) cultivars using microsatellite markers.
Germplasm and genetic improvement - characterization of Iranian hazelnut (Corylus avellana L.) cultivars using microsatellite markers
Cross-Species Amplification of Microsatellite Markers in Castanea spp. and other Related Species
in pres
Germplasm and genetic improvement - DNA-Typing of Hazelnut: A universal methodology for describing cultivars and evaluating genetic relatedness
Cardinal grape parentage: a case of a breeding mistake.
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))
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
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
Indagini ampelografiche e analisi con marcatori molecoleri per la verifica di sinonimie tra vitigni minori
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