Tree, fruit size and yield of ‘Bing’ sweet cherry as influenced by rootstock, replant area, and training system

1996 ◽  
Vol 67 (1-2) ◽  
pp. 13-26 ◽  
Author(s):  
T.J. Facteau ◽  
N.E. Chestnut ◽  
K.E. Rowe
Keyword(s):  
Sweet Cherry ◽  
Fruit Size ◽  
Training System ◽  
Tree Fruit ◽  
And Training

scholarly journals Effects of Rootstock, Tree Density and Training System on Early Growth, Yield and Fruit Quality of Blush Pear

HortScience ◽  
2021 ◽  
pp. 1-8
Author(s):  
Lexie McClymont ◽  
Ian Goodwin ◽  
Desmond Whitfield ◽  
Mark O’Connell ◽  
Susanna Turpin
Keyword(s):  
Fruit Quality ◽  
Vegetative Growth ◽  
Fruit Size ◽  
Growth Yield ◽  
Substantial Effect ◽  
Training System ◽  
Tree Density ◽  
High Density ◽  
Marketable Yield ◽  
And Training

Vegetative growth, orchard productivity, fruit quality and marketable yield were evaluated for rootstock (D6, BP1 and Quince A), tree density (741–4444 trees/ha), and training system (Open Tatura trellis, two-dimensional vertical and three-dimensional traditional) effects on young trees of the blush pear cultivar ‘ANP-0131’. ‘ANP-0131’ is a vigorous scion and vegetative growth, precocity, and yield were influenced by the selected rootstocks. Tree density and training system treatments exerted a substantial effect on canopy radiation interception while increasing tree density improved yield. Increasing tree density from 2222 (high density) to 4444 (ultra-high density) trees/ha did not improve cumulative yield. Crop load affected fruit size, such that “marketable” yield (yield of fruit weighing between 150 and 260 g) was greatest for trees on D6 rootstock and trained to Open Tatura trellis at high and ultra-high densities.

scholarly journals The Effects of Rootstocks and Training Systems on the Early Performance of ‘0900 Ziraat’ Sweet Cherry

2016 ◽  
Vol 44 (2) ◽  
pp. 573-578 ◽  
Author(s):  
Erdal AGLAR ◽  
Kenan YILDIZ ◽  
Lynn Edwards LONG
Keyword(s):  
Sweet Cherry ◽  
Tree Height ◽  
Fruit Weight ◽  
Training System ◽  
Cumulative Yield ◽  
Yield Efficiency ◽  
Training Systems ◽  
Leader Training ◽  
Early Performance ◽  
And Training

The effects of three rootstocks (‘Gisela 5’, ‘Gisela 6’ and ‘MaxMa 14’) and three training systems (Spanish bush, Steep leader and Vogel central leader) on early performance of ‘0900 Ziraat’ sweet cherry were compared. There have been significant differences among both rootstocks and training systems in terms of tree heights. At the end of the fourth year, while the height of the trees grafted on ‘Gisela 5’ was 238.3 cm, those grafted on ‘MaxMa 14’ reached 266.4 cm in height. While the shortest tree height was obtained from Spanish bush system, heights of the trees in Steep leader and Vogel central leader training systems were found to be at similar levels. ‘Gisela’ 5 had lower trunk cross section area (TCSA) than ‘Gisela 6’ and ‘MaxMa 14’ rootstocks. Among three systems, trees trained to Steep leader had the highest TCSA, followed by Spanish bush and Vogel central leader. Interactions were found between rootstock and training system for yield and yield efficiency. On ‘Gisela 6’, cumulative yield of Vogel central leader system (17.0 g/tree) was significantly higher than Spanish bush (14.8 g/tree) and Steep leader (12.6 g/tree). On the other hand, on ‘MaxMa 14’, there were not significant differences in cumulative yield per tree among training systems. On ‘Gisela 5’ and ‘Gisela 6’, the highest yield efficiency were observed in trees trained as Vogel central leader. Yield efficiency of Vogel central leader (0.49 kg cm-²) was two time higher than those of Spanish bush (0.29 kg cm-²) and Steep leader (0.26 kg cm-²) on ‘Gisela 6’. The weight of fruits from trees grafted on ‘Gisela 5’ was lower than those from trees on ‘Gisela 6’ and ‘MaxMa 14’. In the fourth year, while the average fruit weight was 5.86 g on ‘Gisela 5’, it was 6.00 and 6.25 g on ‘Gisela 6’ and ‘MaxMa 14’ rootstocks respectively.

scholarly journals Rootstock and Training System Affect Sweet Cherry Growth, Yield, and Fruit Quality

HortScience ◽  
2005 ◽  
Vol 40 (3) ◽  
pp. 582-586 ◽  
Author(s):  
Matthew D. Whiting ◽  
Gregory Lang ◽  
David Ophardt
Keyword(s):  
Production Efficiency ◽  
Sweet Cherry ◽  
Prunus Avium ◽  
The United States ◽  
Training System ◽  
Fruit Yield ◽  
Training Systems ◽  
And Training ◽  
Gisela 5 ◽  
Gisela 6

Traditional sweet cherry (Prunus avium L.) training systems in the United States are based upon vigorous rootstocks and multiple leader vase canopy architectures. The sweet cherry research lab at Washington State University has been investigating the potential of new rootstocks and training systems to improve production efficiency and produce high quality fruit. This paper describes the effects of three rootstocks—Mazzard (P. avium), `Gisela 6', and `Gisela 5' (P. cerasus × P. canescens)—and four training systems—central leader, multiple-leader bush, palmette, and y-trellis—on `Bing' sweet cherry tree vigor, fruit yield and quality over a seven year period. Compared to trees on Mazzard, trees on `Gisela 5' and `Gisela 6' had 45% and 20% lower trunk cross-sectional areas after 7 seasons, respectively. Trees on `Gisela 6' were the most productive, yielding between 13% and 31% more than those on `Gisela 5' and 657% to 212% more than trees on Mazzard, depending on year. Both Gisela rootstocks significantly improved precocity compared to Mazzard, bearing fruit in year 3 in the orchard. Canopy architecture had only moderate effects on tree vigor and fruit yield. Across rootstocks, bush-trained trees were about 25% less productive compared to the other systems, which exhibited similar cumulative yields (102 kg/tree). Fruit weight was negatively and closely (r2 = 0.84) related to tree yield efficiency (kg·cm–2). Crop value was related positively to fruit yield.

Development and validation of the Global Competency Scale(GCS)

2012 ◽  
Vol 25 (4) ◽  
pp. 801-831
Author(s):  
Sangchoong Roh ◽  
Hongsik Jung ◽  
Youngwon Suh
Keyword(s):  
Training System ◽  
Global Competency ◽  
Human Resource Department ◽  
Survey Results ◽  
Systematic Selection ◽  
Gcs Score ◽  
The Right ◽  
Development And Validation ◽  
Criterion Variables ◽  
And Training

As the world economy is becoming globalized, more domestic businesses are branching to overseas. Thereupon the number of expatriate workers who are getting assigned to overseas are increasing, and needs for systematic selection and training system for overseas expatriate workers are in dire needs. Nevertheless researches in this area are not enough and still inadequate level domestically. Therefore we developed the Global Competency Scale (GCS) with the purpose of the local businesses to use it to predict the possibility of successful overseas job performance and to select and train the right overseas expatriate workers. To develop the scale we conducted researches on documentations and interviews with former overseas expatriate workers and expatriate program managers in human resource department(HRD). Based on these results we developed 14 initial factors with 138 items. Using theses items we conducted both on & offline survey to people who work at global and multinational companies in Korea. With the 381 people's survey results, we implemented the cross validity. After cross validating we generated final 6 factors with 24 items. The GCS score we developed in this research shows that the degree of their goal achievement during past overseas experience and level of their satisfaction was significantly high in those criterion variables proving the criterion-related validity. Especially the GCS we developed in this research shows that after controlling the effect of English skills, still appear to have significant effect on criterion variables. Finally based on research results we discussed academical and operational implication and limitations for the further researches.

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