The effect of planting distances and tree shape on yield and harvest efficiency of cv. Manzanillo table olives

Lavee, S.; Haskal, A.; Avidan, Benjamin

doi:10.1016/j.scienta.2012.05.010

Cited by 20 publications

(17 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Yield values were in accordance with those described in Spain for new plantations (aged 3 to 7 years old) with 408 trees ha −1 , which produced 9540 kg ha −1 , and with 816 trees ha −1 , which produced 13,898 kg ha −1 [ 10 ]. Previous research also stated that the mean yield was influenced by tree training, planting density and location, with yields ranging between 6380 kg ha −1 and 10,580 kg ha −1 [ 3 ].…”

Section: Resultsmentioning

confidence: 99%

“…The olive crop covers more than 10 Mha in the world and has a notable social and economic importance in countries of Mediterranean basin, such as Spain that constitutes 44% and 22% of the global olive oil and table olive production, respectively [ 1 ]. Olive orchard profitability is highly influenced by yield which depends on orchard category [ 2 ] as well as harvesting season, due to alternate bearing [ 3 ]. This fact leads to discern between “on” and “off” years.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Olive Actual “on Year” Yield Forecast Tool Based on the Tree Canopy Geometry Using UAS Imagery

Sola-Guirado

Castillo-Ruiz

Jiménez-Jiménez

et al. 2017

Sensors

View full text Add to dashboard Cite

Olive has a notable importance in countries of Mediterranean basin and its profitability depends on several factors such as actual yield, production cost or product price. Actual "on year" Yield (AY) is production (kg tree −1 ) in "on years", and this research attempts to relate it with geometrical parameters of the tree canopy. Regression equation to forecast AY based on manual canopy volume was determined based on data acquired from different orchard categories and cultivars during different harvesting seasons in southern Spain. Orthoimages were acquired with unmanned aerial systems (UAS) imagery calculating individual crown for relating to canopy volume and AY. Yield levels did not vary between orchard categories; however, it did between irrigated orchards (7000-17,000 kg ha −1 ) and rainfed ones (4000-7000 kg ha −1 ). After that, manual canopy volume was related with the individual crown area of trees that were calculated by orthoimages acquired with UAS imagery. Finally, AY was forecasted using both manual canopy volume and individual tree crown area as main factors for olive productivity. AY forecast only by using individual crown area made it possible to get a simple and cheap forecast tool for a wide range of olive orchards. Finally, the acquired information was introduced in a thematic map describing spatial AY variability obtained from orthoimage analysis that may be a powerful tool for farmers, insurance systems, market forecasts or to detect agronomical problems.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Olive Actual “on Year” Yield Forecast Tool Based on the Tree Canopy Geometry Using UAS Imagery

Sola-Guirado

Castillo-Ruiz

Jiménez-Jiménez

et al. 2017

Sensors

View full text Add to dashboard Cite

show abstract

“…While such apparent differences are fairly clear when considering new crop environments over significant latitudinal gradients, decreases in oil concentration have been reported even over short geographical distances within the Mediterranean Basin. In this regard, final oil concentrations averaged 18% on a fresh weight basis for the cooler coastal plain and only 14% for a warmer interior valley in Israel (Lavee et al, 2012 ). Maximum daily temperatures were about 5°C greater during oil accumulation at the interior valley site.…”

Section: Introductionmentioning

confidence: 99%

Olive Cultivation in the Southern Hemisphere: Flowering, Water Requirements and Oil Quality Responses to New Crop Environments

et al. 2017

View full text Add to dashboard Cite

Olive ( Olea europaea L.) is a crop well adapted to the environmental conditions prevailing in the Mediterranean Basin. Nevertheless, the increasing international demand for olive oil and table olives in the last two decades has led to expansion of olive cultivation in some countries of the southern hemisphere, notably in Argentina, Chile, Perú and Australia. While the percentage of world production represented by these countries is still low, many of the new production regions do not have typical Mediterranean climates, and some are located at subtropical latitudes where there is relatively little information about crop function. Thus, the primary objective of this review was to assess recently published scientific literature on olive cultivation in these new crop environments. The review focuses on three main aspects: (a) chilling requirements for flowering, (b) water requirements and irrigation management, and (c) environmental effects on fruit oil concentration and quality. In many arid and semiarid regions of South America, temperatures are high and rainfall is low in the winter and early spring months compared to conditions in much of the Mediterranean Basin. High temperatures have often been found to have detrimental effects on olive flowering in many olive cultivars that have been introduced to South America, and a better understanding of chilling requirements is needed. Lack of rainfall in the winter and spring also has resulted in an urgent need to evaluate water requirements from the flower differentiation period in the winter to early fruit bearing. Additionally, in some olive growing areas of South America and Australia, high early season temperatures affect the timing of phenological events such that the onset of oil synthesis occurs sooner than in the Mediterranean Basin with most oil accumulation taking place in the summer when temperatures are very high. Increasing mean daily temperatures have been demonstrated to decrease fruit oil concentration (%) and negatively affect some aspects of oil quality based on both correlative field studies and manipulative experiments. From a practical standpoint, current findings could be used as approximate tools to determine whether the temperature conditions in a proposed new growing region are appropriate for achieving sustainable oil productivity and quality.

show abstract

“…The evident advantage of reducing the distance between rows is to increase row length and canopy external area per unit orchard area, both of which are known to increase yield in early years after planting (León et al, 2007). This early yield advantage can, however, be lost with time as trees fill their allotted space and light limitation intensifies (Moore et al, 1993;Lavee et al, 2012). Experimental information on the effects of hedgerow spacing on olive production is limited.…”

Section: Introductionmentioning

confidence: 99%

Effect of row spacing on vegetative structure, fruit characteristics and oil productivity of N–S and E–W oriented olive hedgerows

Trentacoste

Connor

Gómez-del-Campo

2015

Scientia Horticulturae

View full text Add to dashboard Cite

The effect of planting distances and tree shape on yield and harvest efficiency of cv. Manzanillo table olives

Cited by 20 publications

References 9 publications

Olive Actual “on Year” Yield Forecast Tool Based on the Tree Canopy Geometry Using UAS Imagery

Olive Actual “on Year” Yield Forecast Tool Based on the Tree Canopy Geometry Using UAS Imagery

Olive Cultivation in the Southern Hemisphere: Flowering, Water Requirements and Oil Quality Responses to New Crop Environments

Effect of row spacing on vegetative structure, fruit characteristics and oil productivity of N–S and E–W oriented olive hedgerows

Contact Info

Product

Resources

About