scholarly journals Screening for Polyphenol Compounds and Antioxidant Capacity of Sweet Cherry Fruits Infected with Monilinia Laxa

2017 ◽  
Vol 66 (3-4) ◽  
pp. 46-52 ◽  
Author(s):  
Boško Borković ◽  
Đorđe Malenčić ◽  
Dejan Prvulović ◽  
Biljana Kiprovski ◽  
Vera Stojšin ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Biochemical Analysis ◽  
Sweet Cherry ◽  
Brown Rot ◽  
Monilinia Laxa ◽  
Intensity Of Infection ◽  
Polyphenol Compounds ◽  
Sweet Cherries ◽  
Rot Disease ◽  
Fruit Orchards

SummaryMonilinia laxa Aderh. and Ruhl. is the predominant causal agent of brown rot disease of stone fruit orchards, especially sweet cherries. The objective of this study was to identify reaction in response of nine genotypes cherry, with different pomological properties, against brown rot. These genotypes were harvested at commercial maturity from orchard in the Fruit Research Institute in Rimski Šančevi. The studied genotypes showed significant differences in terms of the occurrence of disease on fruits, both under artificial inoculation and infection in the field. Given the fact that sweet cherry fruits are prone to infection by a number of pathogens in the field, biochemical parameters were analysed on artificially inoculated fruits. Biochemical analysis of fruits determined significant differences in contents of total phenols, flavonoids and anthocyanins, as well as in antioxidant activity. It was genotype specificities and intensity of infection, as well as the interaction of the two that induced differences in the secondary biomolecules content and antioxidant activity. The majority of the genotypes examined showed high polyphenolics content, while under the infection, the content was significantly lower. Based on the results obtained, the secondary metabolites content can be used as one of the parameters for evaluating the resistance of sweet cherry genotypes to brown rot.

scholarly journals Identification and Sequence Analysis of a Novel Ilarvirus Infecting Sweet Cherry

Plants ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 514
Author(s):  
Chrysoula G. Orfanidou ◽  
Fei Xing ◽  
Jun Zhou ◽  
Shifang Li ◽  
Nikolaos I. Katis ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Nucleotide Sequence ◽  
Sanger Sequencing ◽  
Sweet Cherry ◽  
Novel Species ◽  
Peach Tree ◽  
Sweet Cherries ◽  
Blastn Analysis ◽  
Fruit Orchards ◽  
Prunus Spp

In the present study, we utilized high throughput and Sanger sequencing to determine the complete nucleotide sequence of a putative new ilarvirus species infecting sweet cherry, tentatively named prunus virus I (PrVI). The genome of PrVI is comprised of three RNA segments of 3474 nt (RNA1), 2911 nt (RNA2), and 2231 nt (RNA3) and features conserved motifs representative of the genus Ilarvirus. BlastN analysis revealed 68.1–71.9% nt identity of PrVI with strawberry necrotic shock virus (SNSV). In subsequent phylogenetic analysis, PrVI was grouped together with SNSV and blackberry chlorotic ringspot virus (BCRV), both members of subgroup 1 of ilarviruses. In addition, mini-scale surveys in stone fruit orchards revealed the presence of PrVI in a limited number of sweet cherries and in one peach tree. Overall, our data suggest that PrVI is a novel species of the genus Ilarvirus and it consists the fifth member of the genus that is currently known to infect Prunus spp.

scholarly journals The Profile and Content of Polyphenols and Carotenoids in Local and Commercial Sweet Cherry Fruits (Prunus avium L.) and Their Antioxidant Activity In Vitro

Antioxidants ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 534 ◽  
Author(s):  
Dominika Średnicka-Tober ◽  
Alicja Ponder ◽  
Ewelina Hallmann ◽  
Agnieszka Głowacka ◽  
Elżbieta Rozpara
Keyword(s):  
Antioxidant Activity ◽  
Bioactive Compounds ◽  
Sweet Cherry ◽  
Prunus Avium ◽  
Sweet Cherries ◽  
High Antioxidant Activity ◽  
Positive Correlations ◽  
Sweet Cherry Cultivars ◽  
Prunus Avium L

The aim of this study was to evaluate and compare the content of a number of bioactive compounds and antioxidant activity of fruits of selected local and commercial sweet cherry (Prunus avium L.) cultivars. The experiment showed that the selected cultivars of sweet cherries differ significantly in the content of polyphenolic compounds and carotenoids. The fruits of commercial sweet cherry cultivars were, on average, richer in polyphenols (the sum of phenolic compounds determined chromatographically), flavonoids, as well as anthocyanins and were characterized by higher antioxidant activity when compared to the local, traditional cultivars. In the group of the traditional sweet cherry cultivars, particular attention could be paid to Black Late cv., showing the highest antioxidant activity of fruits. In the group of commercial sweet cherry cultivars, Cordia and Sylvia fruits could be recognized as being rich in bioactive compounds with high antioxidant activity. Yellow skin cultivars were characterized by the highest concentrations of carotenoids. Strong positive correlations between the identified bioactive compounds and antioxidant activity of fruits were also found. Although different cultivars of sweet cherries show a high variability in phenolics and carotenoids profiles as well as in the antioxidant activity of fruits, they all should be, similarly to other types of cherries, recognized as a rich source of bioactive compounds with an antioxidant potential.

scholarly journals Monilinia spp. Causing Brown Rot of Stone Fruit in Serbia

Plant Disease ◽  
2015 ◽  
Vol 99 (5) ◽  
pp. 709-717 ◽  
Author(s):  
Jovana Hrustić ◽  
Goran Delibašić ◽  
Ivana Stanković ◽  
Mila Grahovac ◽  
Branka Krstić ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Multiplex Polymerase Chain Reaction ◽  
Brown Rot ◽  
Morphological Characterization ◽  
Stone Fruit ◽  
Monilinia Laxa ◽  
Chain Reaction ◽  
Polymerase Chain ◽  
Rot Disease ◽  
First Time

Brown rot is one of the most important pre- and postharvest fungal diseases of stone fruit worldwide. In Serbia, where production of stone fruit is economically important, Monilinia laxa and M. fructigena are widely distributed. In surveys from 2011 to 2013, 288 isolates of Monilinia spp. were collected from 131 localities in 16 districts and from six hosts in Serbia. Using multiplex polymerase chain reaction, phylogenetic analysis, and morphological characterization, three species of Monilinia were identified as the causal agents of brown rot of stone fruit: M. laxa (89% of isolates), M. fructigena (3%), and M. fructicola (8%). In 2011, M. fructicola was reported for the first time on stone fruit in Serbia, with only one isolate detected. More isolates of M. fructicola were detected in 2012 (2 isolates) and 2013 (20 isolates). The presence of M. fructicola, as well as its increased frequency of detection during the survey, may indicate a change in the population structure of these pathogens, which could have an important impact on brown rot disease management in Serbia.

scholarly journals Environmentally-benign plant protection possibilities against domestic Monilinia spp. in organic apple and stone fruit orchards

2005 ◽  
pp. 101-105
Author(s):  
Imre Holb ◽  
Zoltán Szabó ◽  
Gábor Drén ◽  
Sándor Thurzó ◽  
József Racskó ◽  
...  
Keyword(s):  
Plant Protection ◽  
Brown Rot ◽  
Stone Fruit ◽  
Environmentally Benign ◽  
Monilinia Laxa ◽  
Monilinia Fructigena ◽  
Environmental Friendly ◽  
Cultivar Susceptibility ◽  
Fruit Orchards ◽  
Chemical Materials

In this study, possibilities of environmental-friendly plant protection against domestical brwon rot species were summarized for oecological pome and stone fruit orchards. Symtomps of the two most important brown rot species (Monilinia fructigena (Aderh. & Ruhl.) Honey and Monilinia laxa (Aderh. & Ruhl.) Honey) were described and then cultivar susceptibility to brown rot was discussed. Furthermore, mechanical, agrotecnical, biological, and other control possibilities (stone powders, plant extracts and restricted chemical materials) were shown.

scholarly journals Rapid Detection of Monilinia fructicola and Monilinia laxa on Peach and Nectarine using Loop-Mediated Isothermal Amplification

Plant Disease ◽  
2019 ◽  
Vol 103 (9) ◽  
pp. 2305-2314 ◽  
Author(s):  
Sara Franco Ortega ◽  
Maria del Pilar Bustos López ◽  
Luca Nari ◽  
Neil Boonham ◽  
Maria Lodovica Gullino ◽  
...  
Keyword(s):  
Plant Protection ◽  
Crop Protection ◽  
Brown Rot ◽  
Stone Fruit ◽  
Monilinia Laxa ◽  
Different Temperatures ◽  
Repeatability And Reproducibility ◽  
Fruit Orchards ◽  
Mediterranean Plant ◽  
North And South America

Monilinia laxa and M. fructicola are two causal agents of brown rot, one of the most important diseases in stone fruit. Two species cause blight on blossoms and twigs and brown rot on fruit in pre- and postharvest. Both species are distributed worldwide in North and South America, Australia, and Japan. In Europe, M. laxa is endemic, while M. fructicola was introduced in 2001 and it is now widespread in several countries. Currently, both species coexist in European stone fruit orchards. Monilinia spp. overwinter in cankers and mummified fruit. Mummy monitoring during winter permits growers to understand which species of Monilinia will be prevalent in an orchard during the following season, permitting planning of an appropriate crop protection. Traditionally, the identification has been carried out using morphological features and even with polymerase chain reaction (PCR)-based assays that requires time and well-equipped laboratories. In this study, two isothermal-based methods were designed to identify these pathogens in a faster way than using traditional methods. The loop-mediated amplification (LAMP) assays were validated on some isolates of Monilinia spp. coming from the mummy monitoring according to the international European and Mediterranean Plant Protection Organization standard (PM7/98), taking into account specificity, sensitivity, repeatability, and reproducibility. The sensitivity of both assays was checked by monitoring (at different time points) two nectarine varieties artificially inoculated and stored at two different temperatures. The reliability of both LAMP assays against the quantification of the inoculum was compared with previously published quantitative PCR assays. Both LAMP methods were able to detect a low number of cells. These LAMP methods could be a useful tool for monitoring brown rot causal agents in the field and during postharvest.

scholarly journals Possibilities of brown rot management in organic stone fruit production in Hungary

2006 ◽  
Vol 12 (3) ◽  
Author(s):  
I. J. Holb
Keyword(s):  
Plant Protection ◽  
Brown Rot ◽  
Fruit Production ◽  
Elemental Sulphur ◽  
Stone Fruit ◽  
Monilinia Laxa ◽  
Monilinia Fructigena ◽  
Lime Sulphur ◽  
Cultivar Susceptibility ◽  
Fruit Orchards

In this study, possibilities of environmentally-friendly plant protection against two brown rot species was summarized for organic stone fruit orchards. Symtomps of the two most important brown rot species (Monilinia fructigena (Aderh. & Ruhl.) Honey and Monilinia laxa (Aderh. & Ruhl.) Honey) were described and then cultivar susceptibility to brown rot was discussed. Several sustainable plant protection methods were selected and discussed in details such as mechanical, agrotehcnical, biological, and other control possibilities (elemental sulphur, lime sulphur and copper).

scholarly journals The Application of Machine Learning for Cultivar Discrimination of Sweet Cherry Endocarp

Agriculture ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 6
Author(s):  
Ewa Ropelewska
Keyword(s):  
Sweet Cherry ◽  
Color Space ◽  
Geometric Parameters ◽  
Geometric Features ◽  
Color Spaces ◽  
Discriminative Models ◽  
Sweet Cherries ◽  
Rgb Color Space ◽  
Cultivar Discrimination ◽  
Color Channels

The aim of this study was to evaluate the usefulness of the texture and geometric parameters of endocarp (pit) for distinguishing different cultivars of sweet cherries using image analysis. The textures from images converted to color channels and the geometric parameters of the endocarp (pits) of sweet cherry ‘Kordia’, ‘Lapins’, and ‘Büttner’s Red’ were calculated. For the set combining the selected textures from all color channels, the accuracy reached 100% when comparing ‘Kordia’ vs. ‘Lapins’ and ‘Kordia’ vs. ‘Büttner’s Red’ for all classifiers. The pits of ‘Kordia’ and ‘Lapins’, as well as ‘Kordia’ and ‘Büttner’s Red’ were also 100% correctly discriminated for discriminative models built separately for RGB, Lab and XYZ color spaces, G, L and Y color channels and for models combining selected textural and geometric features. For discrimination ‘Lapins’ and ‘Büttner’s Red’ pits, slightly lower accuracies were determined—up to 93% for models built based on textures selected from all color channels, 91% for the RGB color space, 92% for the Lab and XYZ color spaces, 84% for the G and L color channels, 83% for the Y channel, 94% for geometric features, and 96% for combined textural and geometric features.

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