Identification of the Worldwide Olive Germplasm Bank of Córdoba (Spain) using SSR and morphological markers

Trujillo, Isabel; Ojeda, Maria A.; Urdíroz, Nieves Martín; Potter, Daniel; Barranco, D.; Rallo, L.; Díez, Concepción M.

doi:10.1007/s11295-013-0671-3

Cited by 153 publications

(292 citation statements)

References 63 publications

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“…The identity of each cultivar was confirmed by microsatellite molecular markers at the Universidad Nacional de Cuyo. 'Arbequina' and 'Frantoio' material corresponded to the World Olive Germplasm Bank of Córdoba (Spain) patterns (Caballero & Del Río, 2008;Trujillo et al, 2014), while 'Leccino' material coincided with that cultivar as reported in Tuscany, Italy (Bandelj et al, 2004). …”

Section: Study Area and Plant Materialssupporting

confidence: 53%

Evaluation of olive flowering at low latitude sites in Argentina using a chilling requirement model

Aybar

Melo-Abreu

Searles

et al. 2015

Span. j. agric. res.

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Olive production has expanded significantly from the Mediterranean Basin into the New World over the last two decades. In some cases, cultivars of European origin have been introduced at a large commercial scale with little previous evaluation of potential productivity. The objective of this study was to evaluate whether a temperature-driven simulation model developed in the Mediterranean Basin to predict normal flowering occurrence and flowering date using cultivar-specific thermal requirements was suitable for the low latitude areas of Northwest Argentina. The model was validated at eight sites over several years and a wide elevation range (350–1200 m above mean sea level) for three cultivars (‘Arbequina’, ‘Frantoio’, ‘Leccino’) with potentially different chilling requirements. In ‘Arbequina’, normal flowering was observed at almost all sites and in all years, while normal flowering events in ‘Frantoio’ and ‘Leccino’ were uncommon. The model successfully predicted if flowering would be normal in 92% and 83% of the cases in ‘Arbequina’ and ‘Frantoio’, respectively, but was somewhat less successful in ‘Leccino’ (61%). When flowering occurred, the predicted flowering date was within ± 7 days of the observed date in 71% of the cases. Overall, the model results indicate that cultivar-specific simulation models may be used as an approximate tool to predict whether individual cultivars will be successful in new growing areas. In Northwest Argentina, the model could be used to identify cultivars to replace ‘Frantoio’ and ‘Leccino’ and to simulate global warming scenarios.

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Section: Study Area and Plant Materialssupporting

confidence: 53%

Evaluation of olive flowering at low latitude sites in Argentina using a chilling requirement model

Aybar

Melo-Abreu

Searles

et al. 2015

Span. j. agric. res.

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“…SSR and ISSR marker systems were combined in this study and showed that the high polymorphism rate (Tables 3 and 4) is consistent with the results from previous reports on olive genetic diversity based on different molecular markers (Gomes et al, 2009;Souza et al, 2012;Abdelhamid et al, 2013;Asadiar et al, 2013;Trujillo et al, 2014). These results were tested repeatedly in different laboratories and showed stable results.…”

Section: Discriminatory Power Of Ssr and Issrsupporting

confidence: 91%

“…According to statistical analysis, all 13 loci PIC values were superior to 0.75, which was similar to the PIC value (0.863) reported in olive cultivars by Gomes et al (2009). The present study also revealed higher values of H E (0.905) and H O (0.934) than those reported in the literature (Muzzalupo et al, 2010;Trujillo et al, 2014). One of the aims of this study was to determine loci with the power to distinguish between genotypes.…”

Section: Discriminatory Power Of Ssr and Issrsupporting

confidence: 86%

Genetic relationships analysis of olive cultivars grown in China

Zhan¹,

Cheng²,

Su³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. The olive tree is an iconic tree of the Mediterranean, and is used extensively to produce high-quality olive oil. Although the China olive industry has just begun to be valued, there were also existed mislabeling and synonyms in introduced cultivars. The aim of this study was to analyze genetic similarities among olive cultivars in China using SSR and ISSR techniques. Thirty-two samples were collected from Xichang. Five of these cultivars were issued from a Chinese breeding program. Genomic DNA samples were extracted from young leaves and PCR was used to generate SSR and ISSR markers. A total of 107 polymorphic bands were detected on thirteen SSR loci, with an average of eight alleles per locus. The observed heterozygosity ranged from 0.785 (DCA03) to 0.990 (GAPU47), and the expected heterozygosity varied between 0.782 (DCA03) and 0.940 (GAPU103A). The discrimination power ranged from 0.57 to 0.83, while the polymorphism information content values ranged from 0.768 (DCA03) to 0.934 (GAPU103A). Nine ISSR primers generated 85 reproducible bands of which 78 (91.8%) were polymorphic. Based 5959 Genetic similarities among olive cultivars in China ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (2): 5958-5969 (2015) on our data, genetic similarity between cultivars ranged from 0.57 to 0.83. Cluster analysis revealed that 32 cultivars were clustered into six groups, which supports similar morphology such as use, oil content and fruit weight but not similar geographical origins. Our data also allow the identification of unknown cultivars and cases of synonyms.

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“…The endocarp is the most suitable organ compared to fruit and leaf for cultivar identification. Most likely, the endocarp is the less affected organ by environmental conditions due to its wooden nature, the protection from the olive pulp coverage and its brief exposure to the environmental conditions [11, 12, 16]. …”

Section: Methodsmentioning

confidence: 99%

Description of olive morphological parameters by using open access software

Blazakis

Kosma

Kostelenos³

et al. 2017

Plant Methods

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BackgroundThe morphological analysis of olive leaves, fruits and endocarps may represent an efficient tool for the characterization and discrimination of cultivars and the establishment of relationships among them. In recent years, much attention has been focused on the application of molecular markers, due to their high diagnostic efficiency and independence from environmental and phenological variables.ResultsIn this study, we present a semi-automatic methodology of detecting various morphological parameters. With the aid of computing and image analysis tools, we created semi-automatic algorithms applying intuitive mathematical descriptors that quantify many fruit, leaf and endocarp morphological features. In particular, we examined quantitative and qualitative characters such as size, shape, symmetry, contour roughness and presence of additional structures such as nipple, petiole, endocarp surface roughness, etc..ConclusionWe illustrate the performance and the applicability of our approach on Greek olive cultivars; on sets of images from fruits, leaves and endocarps. In addition, the proposed methodology was also applied for the description of other crop species morphologies such as tomato, grapevine and pear. This allows us to describe crop morphologies efficiently and robustly in a semi-automated way.Electronic supplementary materialThe online version of this article (10.1186/s13007-017-0261-8) contains supplementary material, which is available to authorized users.

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Identification of the Worldwide Olive Germplasm Bank of Córdoba (Spain) using SSR and morphological markers

Cited by 153 publications

References 63 publications

Evaluation of olive flowering at low latitude sites in Argentina using a chilling requirement model

Evaluation of olive flowering at low latitude sites in Argentina using a chilling requirement model

Genetic relationships analysis of olive cultivars grown in China

Description of olive morphological parameters by using open access software

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