Phenotypic and genotypic characterization in the collection of sour and duke cherries (Prunus cerasus and ×P. ×gondouini) of the Fruit Genebank in Dresden-Pillnitz, Germany

Höfer, Monika; Peil, Andreas

doi:10.1007/s10722-014-0180-8

Cited by 6 publications

(5 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These results demonstrate the highly positive correlation of fruit equatorial diameter, fruit weight and fruit width, rendering these morphological traits the highest factors loadings in the PCA. Color characteristics, the fruit size and weight, and the traits related to the abscission between fruit and stalk were the most effective parameters to discriminate sour and duke cherries genotypes according to Höfer and Peil (2015). Additionally, our results are in accordance with studies, which also confirmed that the fruit size and weight are useful parameters to discriminate cultivars (in sour cherry; Khadivi-Khub et al, 2013Shahi-Gharahlar et al, 2010 and in sweet cherry;Ganopoulos et al, 2015).…”

Section: Principal Component Analysis Of Quantitative Variablessupporting

confidence: 89%

“…The division in the amarelle and in the morello cultivar groups through clustering analysis of phenotypical characteristics has been also previously reported (see Antonius et al, 2012). Finally, Höfer and Peil (2015) reported that the three duke cherry cultivars, which were grouped within one sub-cluster, were also grouped with sour cherry cultivars that had a characteristic juice, ranging in colour from cream-white fruit flesh and colourless to cream-yellow.…”

Section: Dendrogram Using Agglomerative Hierarchical Clusteringsupporting

confidence: 61%

“…PCA has been already employed to determine the genetic relationships among cultivars, to study correlations among tree traits and to evaluate cherries and sweet cherry (Beyer et al, 2002;Ganopoulos et al, 2015Ganopoulos et al, , 2011Hjalmarsson and Ortiz, 2000), sour cherry (Hillig and Iezzoni, 1988;Höfer and Peil, 2015;Krahl et al, 1991;Rakonjac et al, 2010) and Cerasus (Khadivi-Khub et al, 2012;Shahi-Gharahlar et al, 2010).…”

Section: Principal Component Analysis Of Quantitative Variablesmentioning

confidence: 99%

See 2 more Smart Citations

Morpho-physiological diversity in the collection of sour cherry (Prunus cerasus) cultivars of the Fruit Genebank in Naoussa, Greece using multivariate analysis

Ganopoulos

Moysiadis

Xanthopoulou

et al. 2016

Scientia Horticulturae

View full text Add to dashboard Cite

Section: Principal Component Analysis Of Quantitative Variablessupporting

confidence: 89%

Section: Dendrogram Using Agglomerative Hierarchical Clusteringsupporting

confidence: 61%

Section: Principal Component Analysis Of Quantitative Variablesmentioning

confidence: 99%

See 1 more Smart Citation

Morpho-physiological diversity in the collection of sour cherry (Prunus cerasus) cultivars of the Fruit Genebank in Naoussa, Greece using multivariate analysis

Ganopoulos

Moysiadis

Xanthopoulou

et al. 2016

Scientia Horticulturae

View full text Add to dashboard Cite

“…SSR data from the remaining partner countries were produced and scored as described previously: France [ 23 ], Germany [ 21 , 50 , 51 ], Italy [ 13 ], Sweden [ 19 ], Switzerland [ 17 , 20 ] and datasets from these analyses were supplied by the partners for compilation. Centrally produced SSR data from the EU.CHERRY project were also made available.…”

Section: Methodsmentioning

confidence: 99%

Towards a Joint International Database: Alignment of SSR Marker Data for European Collections of Cherry Germplasm

Ordidge

Litthauer

Venison

et al. 2021

Plants

Self Cite

View full text Add to dashboard Cite

The objective of our study was the alignment of microsatellite or simple sequence repeat (SSR) marker data across germplasm collections of cherry within Europe. Through the European Cooperative program for Plant Genetic Resources ECPGR, a number of European germplasm collections had previously been analysed using standard sets of SSR loci. However, until now these datasets remained unaligned. We used a combination of standard reference genotypes and ad-hoc selections to compile a central dataset representing as many alleles as possible from national datasets produced in France, Great Britain, Germany, Italy, Sweden and Switzerland. Through the comparison of alleles called in data from replicated samples we were able to create a series of alignment factors, supported across 448 different allele calls, that allowed us to align a dataset of 2241 SSR profiles from six countries. The proportion of allele comparisons that were either in agreement with the alignment factor or confounded by null alleles ranged from 67% to 100% and this was further improved by the inclusion of a series of allele-specific adjustments. The aligned dataset allowed us to identify groups of previously unknown matching accessions and to identify and resolve a number of errors in the prior datasets. The combined and aligned dataset represents a significant step forward in the co-ordinated management of field collections of cherry in Europe.

show abstract

“…Finally, duke cherry is an allotetraploid species originated subsequently from natural hybridization of sweet and sour cherry. More precisely, it originated from the fertilization of sour cherry by unreduced gametes of sweet cherry [37]. In the Northern Italy, the province of Piacenza has a long history of cherry cultivation and several local varieties have been selected after centuries of use.…”

Section: Agrobiodiversity: the Case Study Of Fruit Tree Species In Nomentioning

confidence: 99%

Use of Microsatellites to Study Agricultural Biodiversity and Food Traceability

Bernardi¹,

Colli²,

Ughini³

et al. 2016

Microsatellite Markers

View full text Add to dashboard Cite

Molecular markers are useful tools for measuring the genetic diversity among agricultural species. In plants, microsatellites are still the most used markers for germplasm characterization, conservation, and traceability purposes, while in the livestock sector, although having represented the standard for at least two decades, they are still used only for minor farm animal species. In this work, together with a review on the use of microsatellites in livestock, we also illustrate the use of these markers for the characterization of agricultural diversity and food traceability through two case studies: (i) the analysis of genetic diversity in ancient fruit tree cultivars of apple (Malus × domestica Borkh.), pear (Pyrus communis L.), sweet cherry (Prunus avium L.), and sour cherry (Prunus cerasus L.) from Northern Italy and (ii) the molecular authentication of wheat food chain. In the former case, a high genetic variability as well as the presence of different ploidy levels were detected, while in the latter microsatellite markers were shown to be useful for traceability and product authentication along the whole food chain. Overall, the presented evidence confirms the versatility of microsatellites as markers for both agrobiodiversity characterization and food traceability in cultivated plants and farm animals.

show abstract

Phenotypic and genotypic characterization in the collection of sour and duke cherries (Prunus cerasus and ×P. ×gondouini) of the Fruit Genebank in Dresden-Pillnitz, Germany

Cited by 6 publications

References 52 publications

Morpho-physiological diversity in the collection of sour cherry (Prunus cerasus) cultivars of the Fruit Genebank in Naoussa, Greece using multivariate analysis

Morpho-physiological diversity in the collection of sour cherry (Prunus cerasus) cultivars of the Fruit Genebank in Naoussa, Greece using multivariate analysis

Towards a Joint International Database: Alignment of SSR Marker Data for European Collections of Cherry Germplasm

Use of Microsatellites to Study Agricultural Biodiversity and Food Traceability

Contact Info

Product

Resources

About