Development of the Northern European Ribes core collection based on a microsatellite (SSR) marker diversity analysis

2012 ◽  
Vol 10 (1) ◽  
pp. 70-73 ◽  
Author(s):  
Kristiina Antonius ◽  
S. Karhu ◽  
H. Kaldmäe ◽  
G. Lacis ◽  
R. Rugenius ◽  
...  

The purpose of the study was to support the selection process of the most valuable currant and gooseberry accessions cultivated in Northern Europe, in order to establish a decentralized core collection and, following the selection, to ensure sufficient genetic diversity in the selected collection. Molecular analyses of the material from nine project partners were run at seven different laboratories. The results were first analysed for each partner separately, and then combined to ensure sufficient genetic diversity in the core collection.

2017 ◽  
Vol 12 (1) ◽  
pp. 11
Author(s):  
Ronaldo Rodrigues Coimbra ◽  
Glauco Vieira Miranda ◽  
Newton Portilho Carneiro ◽  
Cláudia Teixeira Guimarães ◽  
Derly José Henriques da Silva ◽  
...  

The efficient use of genetic resources- stored in germplasm collections can be maximized if morphoagronomic and molecular information on the accessions is made available. To achieve this, a collection that is well-structured, well-curated and easily accessible (the core collection) is required. Consequently, the objective of the current study was to characterize 80 landrace accessions from the maize core collection of the Federal University of Viçosa (UFV), and assay thenngenetic diversity of the various landraces, considering grain type and ecogeographic origin. For this, AFLP analysis was performed using 12 primer combinations. Genetic diversity of the collection was quantified with the UPGMA method, using the Jaccard Index to quantify dissimilarity. The core collection was divided into four sub-populations by grain type, and into six sub-populations based on ecogeographic origin. Genetic diversity analysis was performed both within and between sub-populations. A high level of genetic variability was found among the landrace accessions of UFV Core Collection, principally among those accessions with dentate type grains.Classification by grain type and ecogeographic origin allowed genetically divergent groups to be distinguished.


2021 ◽  
Vol 13 (9) ◽  
pp. 4877
Author(s):  
Alejandro Vega-Muñoz ◽  
Guido Salazar-Sepúlveda ◽  
Nicolás Contreras-Barraza ◽  
Lorena Araya-Silva

Cruise activities, until 2020, have presented a significant increase in revenue, as well as number of cruises and passengers transported, and it has become a challenge for ports to respond to this demand for services. In response to this, the world’s ports have implemented different governance models. In this context, in this paper, we aim to review the different governance models, as well as port cooperation, competition, and stakeholders. For this purpose, using science metric meta-analysis, an article set is extracted that strictly refers to the governance model of two databases integrated into the Core Collection Web of Science, whose selection process is polished with the PRISMA guidelines, establishing the eligibility criteria of studies using PICOS tool, to which a qualitative meta-analysis is applied. A limited studies set is identified, that includes governance model implementations, private strategies and internalization patterns in the port sector and cruise ships, patterns of port cooperation and governance, governance models in cruise ports, structures and strategies, and changes in the cruise market. Finally, various governance model forms are determined, all documented in the scientific research worldwide, discussing the various components of study topics.


2013 ◽  
Vol 49 (No. 1) ◽  
pp. 36-47 ◽  
Author(s):  
M. Studnicki ◽  
W. Mądry ◽  
J. Schmidt

Establishing a core collection that represents the genetic diversity of the entire collection with a minimum loss of its original diversity and minimal redundancies is an important problem for gene bank curators and crop breeders. In this paper, we assess the representativeness of the original genetic diversity in core collections consisting of one-tenth of the entire collection obtained according to 23 sampling strategies. The study was performed using the Polish orchardgrass Dactylis glomerata L. germplasm collection as a model. The representativeness of the core collections was validated by the difference of means (MD%) and difference of mean squared Euclidean distance (d‒D%) for the studied traits in the core subsets and the entire collection. In this way, we compared the efficiency of a simple random and 22 (20 cluster-based and 2 direct cluster-based) stratified sampling strategies. Each cluster-based stratified sampling strategy is a combination of 2 clusterings, 5 allocations and 2 methods of sampling in a group. We used the accession genotypic predicted values for 8 quantitative traits tested in field trials. A sampling strategy is considered more effective for establishing core collections if the means of the traits in a core are maintained at the same level as the means in the entire collection (i.e., the mean of MD% in the simulated samples is close to zero) and, simultaneously, when the overall variation in a core collection is greater than in the entire collection (i.e., the mean of d‒D% in the simulated samples is greater than that obtained for the simple random sampling strategy). Both cluster analyses (unweighted pair group method with arithmetic mean UPGMA and Ward) were similarly useful in constructing those sampling strategies capable of establishing representative core collections. Among the allocation methods that are relatively most useful for constructing efficient samplings were proportional and D2 (including variation). Within the Ward clusters, the random sampling was better than the cluster-based sampling, but not within the UPGMA clusters.


2009 ◽  
Vol 35 (10) ◽  
pp. 1936-1941 ◽  
Author(s):  
Zhuo CHE ◽  
Yan-Xin ZHANG ◽  
Jian SUN ◽  
Xiu-Rong ZHANG ◽  
Xun-Wu SHANG ◽  
...  

2008 ◽  
Vol 8 (3) ◽  
pp. 202-211 ◽  
Author(s):  
P.M.B. Dias ◽  
V.F. Pretz ◽  
M. Dall’Agnol ◽  
M.T. Schifino-Wittmann ◽  
J.A. Zuanazzi

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