INSECT TRANSMISSION OF THE VIRUS CAUSING LITTLE CHERRY DISEASE

1960 ◽  
Vol 40 (4) ◽  
pp. 707-712 ◽  
Author(s):  
W. H. A. Wilde
Keyword(s):  
Sweet Cherry ◽  
Prunus Avium ◽  
Virus Disease ◽  
Insect Transmission ◽  
Prunus Avium L ◽  
Cherry Trees

Little cherry virus disease of sweet cherry (Prunus avium L.) was transmitted under screenhouse conditions by 3 species of leafhoppers (Homoptera: Cicadellidae) out of 24 species tested. Macrosteles fascifrons (Stal), the 6-spotted leafhopper, transmitted the disease in seven tests; Scaphytopius acutus (Say), the sharp-nosed leafhopper, transmitted it once; and Psammotettix lividellus (Zett.) transmitted it once. The transmissions were made from diseased sweet cherry trees of the variety Lambert to indicators of the varieties Star or Sam. With the exception of 1 transmission, 2 to 4 years were necessary following inoculation for unmistakable expression of symptoms in the indicators. M. fascifrons was also implicated in 18 successful transmissions to mature sweet cherry trees grown in the open.

scholarly journals The effect of different types of rootstock on the quality of maiden trees of sweet cherry (Prunus avium L.) cv. ‘Regina’

2014 ◽  
Vol 67 (4) ◽  
pp. 43-50 ◽  
Author(s):  
Piotr Baryła ◽  
Magdalena Kapłan ◽  
Marcela Krawiec
Keyword(s):  
Sweet Cherry ◽  
Prunus Avium ◽  
Quality Characteristics ◽  
Sweet Cherries ◽  
Prunus Mahaleb ◽  
Different Types ◽  
Prunus Avium L ◽  
Gisela 5 ◽  
Cherry Trees

Over the period 2006–2009 in Lublin, a study was conducted to determine the effect of five types of rootstock: ‘Colt’, ‘F12/1’, sweet cherry (<em>Prunus avium </em>L.), ‘GiSelA 5’ and ‘Piast’ mahaleb cherry (<em>Prunus mahaleb </em>L.), on the growth and quality of maiden sweet cherry trees cv. ‘Regina’ in a commercial nursery. Based on the three-year average, rootstocks were shown to have a significant effect on the investigated quality characteristics of maiden sweet cherry trees. Trees budded on ‘Colt’ vegetative rootstock were characterized by strongest growth and best quality. In each year, they were thicker, higher and better branched than sweet cherries on the rootstock. Under the tested conditions, ‘GiSelA 5’ dwarf rootstock significantly reduced the growth and quality of budded sweet cherry trees in the nursery. During the period 2007–2009, no physiological incompatibility symptoms were observed ‘Regina’ sweet cherry cv. and ‘Piast’ seedling rootstocks. The growth of trees budded on ‘Piast’ mahaleb cherry was poorer than on ‘Colt’ clonal rootstock, but it was stronger than on ‘F12/1’ and <em>Prunus avium</em> L. rootstocks.

scholarly journals The effect of rootstocks on the efficiency of a nursery of sweet cherry (Prunus avium L.) trees cv. ‘Regina’

2014 ◽  
Vol 66 (4) ◽  
pp. 121-128
Author(s):  
Piotr Baryła ◽  
Magdalena Kapłan ◽  
Marcela Krawiec ◽  
Piotr Kiczorowski
Keyword(s):  
Sweet Cherry ◽  
Prunus Avium ◽  
Cherry Tree ◽  
Tree Nursery ◽  
Prunus Avium L ◽  
Gisela 5 ◽  
Cherry Trees

During the period 2006–2009 in Lublin, a study was conducted to determine the effect of five rootstocks: ‘Colt’, ‘F12/1’, sweet cherry (<em>Prunus</em><em> </em><em>avium</em><em> </em>L.), ‘GiSelA 5’, and ‘Piast’, on bud take in the cultivar ‘Regina’, the quality of budded trees and the efficiency of a sweet cherry tree nursery. The highest percentage of bud take in cherry trees cv. ‘Regina’ and the best efficiency of the sweet cherry tree nursery were obtained for the rootstocks ‘Piast’ and ‘Colt’. In two years during the three-year study period, the rootstock was found to significantly affect the efficiency of the sweet cherry tree nursery. When grafted on the rootstocks ‘Colt’ and ‘Piast’, a significantly higher percentage of trees met the requirements of the Polish Standard PN-R-67010 than on the clonal rootstock ‘GiSelA 5’. Under the tested conditions, the quality of maiden sweet cherry trees cv. ‘Regina’ grafted on the dwarfing rootstock ‘GiSelA 5’ was lowest.

scholarly journals Foliar Application of Calcium and Growth Regulators Modulate Sweet Cherry (Prunus avium L.) Tree Performance

Plants ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 410 ◽  
Author(s):  
Sofia Correia ◽  
Filipa Queirós ◽  
Helena Ferreira ◽  
Maria Cristina Morais ◽  
Sílvia Afonso ◽  
...  
Keyword(s):  
Growth Regulators ◽  
Management Practices ◽  
Sweet Cherry ◽  
Prunus Avium ◽  
Foliar Application ◽  
Water Status ◽  
Economic Losses ◽  
Physiological Performance ◽  
Prunus Avium L ◽  
Cherry Trees

Cracking of sweet cherry (Prunus avium L.) fruits is caused by rain events close to harvest. This problem has occurred in most cherry growing regions with significant economic losses. Several orchard management practices have been applied to reduce the severity of this disorder, like the foliar application of minerals or growth regulators. In the present study, we hypothesized that preharvest spray treatments improve the physiological performance of sweet cherry trees and could also mitigate environmental stressful conditions. Effects of repeated foliar spraying of calcium (Ca), gibberellic acid (GA3), abscisic acid (ABA), salicylic acid (SA), glycine betaine (GB), and the biostimulant Ascophyllum nodosum (AN) on the physiological and biochemical performance of ‘Skeena’ sweet cherry trees during two consecutive years (without Ca in 2015 and in 2016 with addition of Ca) were studied. Results showed that in general spray treatments improved the physiological performance and water status of the trees. AN and ABA sprays were demonstrated to be the best compounds for increasing yield and reducing cherry cracking as well as improving photosynthetic performance and leaf metabolites content. In conclusion, AN and ABA might be promising tools in the fruit production system.

scholarly journals Effects of foliar Application with Zinc and Boron On fruitset and yield of Sweet cherry (Prunus avium L. var. Bing): تأثير الرش بالزنك والبورون في نسبة العقد والإنتاج للكرز الحلو (Prunus avium L. var. Bing)

2021 ◽  
Vol 5 (5) ◽  
pp. 87-78
Author(s):  
Ammar Motea Askarieh, Sawsan Suleiman, Mahasen Tawakalna Ammar Motea Askarieh, Sawsan Suleiman, Mahasen Tawakalna
Keyword(s):  
Sweet Cherry ◽  
Prunus Avium ◽  
Foliar Application ◽  
Foliar Spray ◽  
Control Treatment ◽  
Maturity Stage ◽  
Fruit Drop ◽  
Cherry Orchard ◽  
Prunus Avium L ◽  
Cherry Trees

The study aims to increase the fruitset percentage of sweet cherry trees, reduce their fall rate and increase fruit retention percentage that reaches the maturity stage. It was conducted during 2019/2020 years at Cherry orchard located in Sargaya- Al- Zabadani area in Rural Damascus, in Syria. the experiment included 4 foliar spray treatments (T1: Control, T2: Zn (100 ppm), T3: B (500 ppm), T4: (100 ppm Zn + 500 ppm B) on sweet cherry trees (Prunus Avium L.) cultivar (Bing) the fruitset percentage, fruit drop percentage, fruiting factor, and yield quantity were calculated for all treatments. The results showed that all treatments (T2, T3, T4) recorded higher fruitset percentage, compared to the control (T1) with no significant differences between (74.83, 76.35, 76.25%) respectively, while the control fruitset percentage (72.76%), and (T4) has achieved the highest percentage of fruiting factor (41.40%) with no significant differences between it and treatment (T3) (37.12%), and the highest yield (19.98 kg), as well as (T2, T3) treatments was (9.39, 10.80 kg/tree) respectively, while the control yield was (5.93 kg/tree). Therefore, it can be considered that treatment (T4) has succeeded in reducing Sweet cherry fruit drop, where the fruit drop percentage didn't exceed (70.27%), and in (T2, T3) treatments was (74.94, 72.99%) respectively, while it reached in the control treatment to (80.64%).

RESPONSE OF THREE YEAR OLD SWEET CHERRY TREES (PRUNUS AVIUM L.) CV. BING TO SUMMER PRUNING

1998 ◽  
pp. 477-484
Author(s):  
R. Wilckens ◽  
J.P. Joublan ◽  
C. Mujica ◽  
S. Rodriguez ◽  
L. Vera ◽  
...  
Keyword(s):  
Sweet Cherry ◽  
Prunus Avium ◽  
Prunus Avium L ◽  
Cherry Trees

Biochemical and phenotypic characterization of sweet cherry (Prunus avium L.) cultivars with induced surface pitting

2021 ◽  
Vol 175 ◽  
pp. 111494
Author(s):  
Excequel Ponce ◽  
Blanca Alzola ◽  
Natalia Cáceres ◽  
Madeline Gas ◽  
Catalina Ferreira ◽  
...  
Keyword(s):  
Sweet Cherry ◽  
Prunus Avium ◽  
Phenotypic Characterization ◽  
Prunus Avium L

scholarly journals Potential of UAS-Based Remote Sensing for Estimating Tree Water Status and Yield in Sweet Cherry Trees

2020 ◽  
Vol 12 (15) ◽  
pp. 2359
Author(s):  
Víctor Blanco ◽  
Pedro José Blaya-Ros ◽  
Cristina Castillo ◽  
Fulgencio Soto-Vallés ◽  
Roque Torres-Sánchez ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Deficit Irrigation ◽  
Vegetation Index ◽  
Sweet Cherry ◽  
Prunus Avium ◽  
Water Status ◽  
Control Treatment ◽  
Stem Water Potential ◽  
Irrigation Treatments ◽  
Cherry Trees

The present work aims to assess the usefulness of five vegetation indices (VI) derived from multispectral UAS imagery to capture the effects of deficit irrigation on the canopy structure of sweet cherry trees (Prunus avium L.) in southeastern Spain. Three irrigation treatments were assayed, a control treatment and two regulated deficit irrigation treatments. Four airborne flights were carried out during two consecutive seasons; to compare the results of the remote sensing VI, the conventional and continuous water status indicators commonly used to manage sweet cherry tree irrigation were measured, including midday stem water potential (Ψs) and maximum daily shrinkage (MDS). Simple regression between individual VIs and Ψs or MDS found stronger relationships in postharvest than in preharvest. Thus, the normalized difference vegetation index (NDVI), resulted in the strongest relationship with Ψs (r2 = 0.67) and MDS (r2 = 0.45), followed by the normalized difference red edge (NDRE). The sensitivity analysis identified the optimal soil adjusted vegetation index (OSAVI) as the VI with the highest coefficient of variation in postharvest and the difference vegetation index (DVI) in preharvest. A new index is proposed, the transformed red range vegetation index (TRRVI), which was the only VI able to statistically identify a slight water deficit applied in preharvest. The combination of the VIs studied was used in two machine learning models, decision tree and artificial neural networks, to estimate the extra labor needed for harvesting and the sweet cherry yield.

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