EFFECTS OF TREE DENSITY AND TREE SHAPE ON APPLE ORCHARD PERFORMANCE

2007 ◽  
pp. 405-414 ◽  
Author(s):  
T.L. Robinson
2019 ◽  
Vol 244 ◽  
pp. 435-444 ◽  
Author(s):  
Jaume Lordan ◽  
Miguel Gomez ◽  
Poliana Francescatto ◽  
Terence L. Robinson

2018 ◽  
Vol 238 ◽  
pp. 303-317 ◽  
Author(s):  
Jaume Lordan ◽  
Poliana Francescatto ◽  
Leonel I. Dominguez ◽  
Terence L. Robinson

HortScience ◽  
1997 ◽  
Vol 32 (3) ◽  
pp. 473C-473
Author(s):  
A.S. Devyatov

Growth and fruiting of apple trees in twin-row tree-belts were studied during 5 years after planting the orchard. Distance between belts was 4 m, between rows in a belt was 1 m, between trees in row 3 or 1.5 m, giving tree densities of 1335 or 2670 trees/ha, respectively. Control was a single-row planting 4 × 3 or 4 × 1.5 m, producing densities of 833 or 1665 trees/ha. Trees were trained as hedgerow in treatments with a density of 1335 or 833 trees/ha. Each tree in a twin-row belt had a separate crown with narrow passage between trees. This passage was cut through every year. Fruiting of `Tellisaare' began at 2nd leaf, `Antey' at 3rd, and `Spartan' at 4th leaf after planting. Total yield for 3 years in the highest density treatment of single-row planting of `Antey' and `Tellisaare' was >50 t·ha–1 and in twin-row orchard construction from 36 to 57 t·ha–1, depending on orchard density. The two-fold increase in orchard density from 1335 to 2700 trees/ha raised yield of `Antey' by 58% and `Tellisaare' by 33%. Single-row treatment with a tree density of 1665/ha averaged 17.1–17.5 t·ha–1 without great expenditure on pruning of trees. The fruit quality was very high in all treatments.


2006 ◽  
pp. 62-75
Author(s):  
Nándor Rakonczás

Our examination was carried out in the 103 ha apple orchard of the Kasz-Coop Ltd.. The plantation works with modern varieties standing on M9 root stock, planted in a tree density of 2500 tree/ha and treated with professional integrated technology. The date of harvest is defined by a combination of several ripening analyses methods. The orchard has its own ULO-system warehouse.Used in the experiment were four apple varieties: ’Idared’, ’Golden Reinders’, ’Jonagold’ and ’Braeburn’.While under ULO-storage, we took 20-25 piece samples 6 times regarding the four varieties, from which 5-5 pieces were kept under three weeks’ shelf life, measured on a weekly bases. In our research, we analysed the dynamics of the flesh firmness and the refractometric value under ULO-storage and three weeks’ shelf life, and the standard deviation dynamics of the refractometric value under ULO-storage.Analyses were based on the following measurements: flesh firmness, refractometric value and number of mature seeds.We looked for morphological and morphological-quality correlations.Through these we described the dynamics of the flesh firmness and the refractometric value under ULO-storage and three weeks’ shelf life for each variety. We referred to the stability of these attributes and to the dynamics of their change. Later, with the help of these, and also considering our practical experience related to the measurements, we characterised the four varieties.We found a positive correlation between the seed number and the flesh firmness in the case of the ‘Idared’, ‘Jonagold’ and ‘Braeburn’ varieties, but no correlation was found in the case of ‘Golden Reinders’ in this concern. We visualized the standard deviation dynamics of the refractometric values under ULO-storage. This allowed us to categorise the varieties.


2021 ◽  
pp. 163-170
Author(s):  
J. Lordan ◽  
P. Francescatto ◽  
T. Robinson
Keyword(s):  

1995 ◽  
Vol 5 (4) ◽  
pp. 332-338
Author(s):  
Schuyler S. Korban ◽  
Cynthia A. St. Ores

“OrchardSim: Design of an Apple Orchard” is a computer simulation program that was developed as a tool for students and new apple growers to understand the process involved in designing an efficient apple orchard. This program was developed on Toolbook software. It explores key elements involved in designing an apple orchard. Users are introduced to these elements and then asked to make selections for each of the following parameters: soil type, cultivar, rootstock, and management system. The goal of the program is to find compatible selections that will result in an appropriate design of a 1-acre orchard. This full-color program uses text, graphics animation, and still pictures to provide the following: introductory and review information about each parameter, opportunities for the user to make a selection for each parameter, and a check for choices made to determine compatibility. Users receive feedback for each specific choice made for each of the parameters throughout the program. This simulation presents an alternative instructional tool, whereby the user plays an active role in the learning process by practicing and reviewing information at one's own pace. OrchardSim provides users with immediate feedback and an excellent opportunity for making high-risk decisions, with no financial loss that otherwise would have been costly if the learning process were pursued in the real orchard.


2021 ◽  
Vol 734 (1) ◽  
pp. 012030
Author(s):  
Ruiyan Li ◽  
Mingxiu Gao ◽  
Zexin XU ◽  
Jiafan Wang ◽  
Xiaoxin Xie

Life ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 408
Author(s):  
Gizachew Zeleke ◽  
Tatek Dejene ◽  
Wubalem Tadesse ◽  
Pablo Martín-Pinto

In this study, we evaluated stand status, dendrometric variables, and fruit production of Tamarind (Tamarindus indica L.) trees growing in bushland and farmland-use types in dryland areas of Ethiopia. The vegetation survey was conducted using the point-centered quarter method. The fruit yield of 54 trees was also evaluated. Tree density and fruit production in ha were estimated. There was a significant difference in Tamarind tree density between the two land-use types (p = 0.01). The mean fruit yield of farmland trees was significantly higher than that of bushland trees. However, Tamarind has unsustainable structure on farmlands. Differences in the dendrometric characteristics of trees were also observed between the two land-use types. Predictive models were selected for Tamarind fruit yield estimations in both land-use types. Although the majority of farmland trees produced <5000 fruit year−1, the selection of Tamarind germplasm in its natural ranges could improve production. Thus, the development of management plans to establish stands that have a more balanced diameter structure and thereby ensure continuity of the population and fruit yields is required in this area, particularly in the farmlands. This baseline information could assist elsewhere in areas that are facing similar challenges for the species due to land-use change.


Fire Ecology ◽  
2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Jessie M. Dodge ◽  
Eva K. Strand ◽  
Andrew T. Hudak ◽  
Benjamin C. Bright ◽  
Darcy H. Hammond ◽  
...  

Abstract Background Fuel treatments are widely used to alter fuels in forested ecosystems to mitigate wildfire behavior and effects. However, few studies have examined long-term ecological effects of interacting fuel treatments (commercial harvests, pre-commercial thinnings, pile and burning, and prescribed fire) and wildfire. Using annually fitted Landsat satellite-derived Normalized Burn Ratio (NBR) curves and paired pre-fire treated and untreated field sites, we tested changes in the differenced NBR (dNBR) and years since treatment as predictors of biophysical attributes one and nine years after the 2007 Egley Fire Complex in Oregon, USA. We also assessed short- and long-term fuel treatment impacts on field-measured attributes one and nine years post fire. Results One-year post-fire burn severity (dNBR) was lower in treated than in untreated sites across the Egley Fire Complex. Annual NBR trends showed that treated sites nearly recovered to pre-fire values four years post fire, while untreated sites had a slower recovery rate. Time since treatment and dNBR significantly predicted tree canopy and understory green vegetation cover in 2008, suggesting that tree canopy and understory vegetation cover increased in areas that were treated recently pre fire. Live tree density was more affected by severity than by pre-fire treatment in either year, as was dead tree density one year post fire. In 2008, neither treatment nor severity affected percent cover of functional groups (shrub, graminoid, forb, invasive, and moss–lichen–fungi); however, by 2016, shrub, graminoid, forb, and invasive cover were higher in high-severity burn sites than in low-severity burn sites. Total fuel loads nine years post fire were higher in untreated, high-severity burn sites than any other sites. Tree canopy cover and density of trees, saplings, and seedlings were lower nine years post fire than one year post fire across treatments and severity, whereas live and dead tree basal area, understory surface cover, and fuel loads increased. Conclusions Pre-fire fuel treatments effectively lowered the occurrence of high-severity wildfire, likely due to successful pre-fire tree and sapling density and surface fuels reduction. This study also quantified the changes in vegetation and fuels from one to nine years post fire. We suggest that low-severity wildfire can meet prescribed fire management objectives of lowering surface fuel accumulations while not increasing overstory tree mortality.


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