scholarly journals Investigation of Epicormic Shoot Growth of Sessile Oak in Shelterwood Cutting Stands

2015 ◽  
Vol 5 (1) ◽  
pp. 71-83
Author(s):  
Bence Bárdos ◽  
László Nahóczki ◽  
Dénes Molnár ◽  
Norbert Frank ◽  
Zoltán Köveskuti ◽  
...  
Keyword(s):  
Shoot Growth ◽  
Sessile Oak ◽  
Epicormic Shoot

Epicormic shoot growth in striped maple

1979 ◽  
Vol 9 (1) ◽  
pp. 110-113 ◽  
Author(s):  
B. F. Wilson
Keyword(s):  
Gibberellic Acid ◽  
Growth Regulators ◽  
Shoot Growth ◽  
Subsequent Growth ◽  
Benzyl Adenine ◽  
Indolebutyric Acid ◽  
Lateral Buds ◽  
Terminal Bud ◽  
Epicormic Shoot ◽  
Stem Segments

Epicormic shoots on stem segments from suppressed striped maple (Acerpensylvanicum L.) grow from poorly developed lateral buds in the axils of bud scales. The nondormant buds on stem segments in water are released by removing the terminal bud. For dormant buds (collected in winter) to grow they must, in addition to removing the terminal, either be chilled at 5 °C for 3–4 months or be treated with gibberellic acid (GA). Treatment with basally applied growth regulators did not release lateral buds if the terminal was intact. Nondormant buds on decapitated segments were totally inhibited by indolebutyric acid, applied either basally in solution or apically in lanolin, and partially inhibited by abscissic acid or 2-chloroethylphosphonic acid. Triiodobenzoic acid increased the number of buds released on decapitated segments but inhibited their subsequent growth. GA and benzyl adenine did not effect bud release but did stimulate subsequent epicormic shoot growth.

scholarly journals Nitrogen sources for current-year shoot growth in 50-year-old sessile oak trees: an in situ 15N labeling approach

2011 ◽  
Vol 31 (12) ◽  
pp. 1390-1400 ◽  
Author(s):  
R. El Zein ◽  
N. Breda ◽  
D. Gerant ◽  
B. Zeller ◽  
P. Maillard
Keyword(s):  
Shoot Growth ◽  
Nitrogen Sources ◽  
Sessile Oak ◽  
Oak Trees ◽  
15N Labeling ◽  
Labeling Approach

Application of shoot growth rules for understanding responses to pruning.

2022 ◽  
pp. 54-58
Author(s):  
T. M. DeJong
Keyword(s):  
Shoot Growth ◽  
Fruit Trees ◽  
Fruit Tree ◽  
Tree Size ◽  
Primary Reason ◽  
Close Proximity ◽  
Epicormic Shoot ◽  
One Year ◽  
Control Tree ◽  
Size Controlling

Abstract Knowledge of fruit tree shoot types is helpful to explain why pruning is often not successful in reducing tree size. In many horticultural circumstances, epicormic shoot growth can be considered as being almost exclusively stimulated by severe pruning of large branches (older than one year old) or strong water shoots in which sylleptic shoots have previously grown and "used up" the locations in close proximity to the pruning cut where proleptic buds would have been present in a less vigorous shoot. The strong growth response to heavy pruning is natural and is the primary reason why pruning cannot be relied upon exclusively to control tree size when trees are grown in highly fertile soils without size-controlling rootstocks. This chapter deals with understanding responses to pruning of fruit trees by application of shoot growth rules.

Influence of potting media types and weights on emergence and shoot growth of avocado (Persea americanaMill.) seedlings

Fruits ◽  
2003 ◽  
Vol 58 (6) ◽  
pp. 345-356
Author(s):  
Edossa Etissa ◽  
Seifu G Mariam ◽  
H. Ravishanker
Keyword(s):  
Shoot Growth ◽  
Potting Media ◽  
Media Types

Estimating nitrogen contents of apple leaves based on hyperspectral parameter models at different phenophases

2016 ◽  
Vol 6 (2) ◽  
pp. 942-952
Author(s):  
Xicun ZHU ◽  
Zhuoyuan WANG ◽  
Lulu GAO ◽  
Gengxing ZHAO ◽  
Ling WANG
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Shoot Growth ◽  
Hyperspectral Data ◽  
Estimation Model ◽  
Apple Leaves ◽  
Bp Neural Network Model ◽  
Nitrogen Contents

The objective of the paper is to explore the best phenophase for estimating the nitrogen contents of apple leaves, to establish the best estimation model of the hyperspectral data at different phenophases. It is to improve the apple trees precise fertilization and production management. The experiments were done in 20 orchards in the field, measured hyperspectral data and nitrogen contents of apple leaves at three phenophases in two years, which were shoot growth phenophase, spring shoots pause growth phenophase, autumn shoots pause growth phenophase. The study analyzed the nitrogen contents of apple leaves with its original spectral and first derivative, screened sensitive wavelengths of each phenophase. The hyperspectral parameters were built with the sensitive wavelengths. Multiple stepwise regressions, partial least squares and BP neural network model were adopted in the study. The results showed that 551 nm, 716 nm, 530 nm, 703 nm; 543 nm, 705 nm, 699 nm, 756 nm and 545 nm, 702 nm, 695 nm, 746 nm were sensitive wavelengths of three phenophases. R551+R716, R551*R716, FDR530+FDR703, FDR530*FDR703; R543+R705, R543*R705, FDR699+FDR756, FDR699*FDR756and R545+R702, R545*R702, FDR695+FDR746, FDR695*FDR746 were the best hyperspectral parameters of each phenophase. Of all the estimation models, the estimated effect of shoot growth phenophase was better than other two phenophases, so shoot growth phenophase was the best phenophase to estimate the nitrogen contents of apple leaves based on hyperspectral models. In the three models, the 4-3-1 BP neural network model of shoot growth phenophase was the best estimation model. The R2 of estimated value and measured value was 0.6307, RE% was 23.37, RMSE was 0.6274.

Effects of Shading on Shoot Growth and Component Characteristics in Korean Tea (Carmellia sinensis L.) Cultivars

2018 ◽  
Vol 24 (3) ◽  
pp. 57-63
Author(s):  
In-Kwan Song ◽  
Seong-Bae Kim ◽  
Bo-Hwa Kim ◽  
Jeong-Hee Yoon ◽  
Soon-Young Hong ◽  
...  
Keyword(s):  
Shoot Growth
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