Modelling the Effects of Soil Conditions on Olive Productivity in Mediterranean Hilly Areas
cg.contact | atubeile@uoguelph.ca | en_US |
cg.contributor.center | University of Guelph - UoG | en_US |
cg.contributor.center | The Research Institute for Nature and Forest - INBO | en_US |
cg.contributor.center | Ministry of Agriculture and Agrarian Reform, General Commission for Scientific Agricultural Research - MoAAR - GCSAR | en_US |
cg.contributor.center | CRP on Dryland Systems - DS | en_US |
cg.contributor.crp | CRP on Dryland Systems - DS | en_US |
cg.contributor.funder | Not Applicable | en_US |
cg.coverage.country | SY | en_US |
cg.coverage.region | Western Asia | en_US |
cg.creator.id | Thomas, Richard: 0000-0002-8009-5681 | en_US |
cg.identifier.doi | https://dx.doi.org/http://dx.doi.org/10.1155/2014/672123 | en_US |
cg.journal | International Journal of Agronomy | en_US |
cg.subject.agrovoc | agriculture | en_US |
cg.subject.agrovoc | soil | en_US |
cg.volume | 2014 | en_US |
dc.contributor | Turkelboom, Francis | en_US |
dc.contributor | Al-Ibrahem, Anwar | en_US |
dc.contributor | Thomas, Richard | en_US |
dc.contributor | Sultan-Tubeileh, Kholoud | en_US |
dc.creator | Tubeileh, Ashraf | en_US |
dc.date.accessioned | 2017-01-10T00:26:41Z | |
dc.date.available | 2017-01-10T00:26:41Z | |
dc.description.abstract | The majority of olive production in Mediterranean environments is characterized by low external inputs and is practiced in hilly areaswith shallowsoils.This study aimed to study the nutritional status for olive trees innorthwesternSyria anddetermine themost yield-affecting soil and land factors. Our methodology relied on establishing correlations between soil and land factors and fruit yield from 50 rainfed olive (Olea europaea L. cv. Zeiti) orchards under fairly similar climatic and management conditions, but with different soil and land conditions. Land and soil fertility parameters (field slope, soil depth, and soil nutrients) and concentrations of leaf minerals were determined. As olive roots can go deep in the soil profile to extract nutrients, the total available nutrients per tree (over the whole profile) were estimated. Multiple regression analyses were performed to determine the model that best accounts for yield variability. Total available soil potassium amount (R2 = 0.68), soil total N amount (R2 = 0.59), and soil depth (R2 = 0.56) had the highest correlations with olive fruit yields. Available soil potassium amount and soil depth explained together 77% of the yield variability observed. In addition to these two factors, adding leaf B and Fe concentrations to the model increased the variability explained to 83%. | en_US |
dc.format | en_US | |
dc.identifier | https://mel.cgiar.org/reporting/downloadmelspace/hash/lh0NRg2T/v/32fe6469a9bb28edbf2b121fe7a5b5dd | en_US |
dc.identifier.citation | Ashraf Tubeileh, Francis Turkelboom, Anwar Al-Ibrahem, Richard Thomas, Kholoud Sultan-Tubeileh. (14/9/2014). Modelling the Effects of Soil Conditions on Olive Productivity in Mediterranean Hilly Areas. International Journal of Agronomy, 2014. | en_US |
dc.identifier.status | Open access | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/5448 | |
dc.language | en | en_US |
dc.publisher | Hindawi Publishing Corporation | en_US |
dc.rights | CC-BY-NC-4.0 | en_US |
dc.source | International Journal of Agronomy;2014,(2014) | en_US |
dc.subject | olive productivity | en_US |
dc.title | Modelling the Effects of Soil Conditions on Olive Productivity in Mediterranean Hilly Areas | en_US |
dc.type | Journal Article | en_US |
dcterms.available | 2014-09-14 | en_US |