Publication: Quality Parameters and Variety Selection: How Does the Optimal Cherry Variety Choice Vary According to Farmers’ Risk Perceptions
| dc.authorscopusid | 57190487635 | |
| dc.authorscopusid | 59464164000 | |
| dc.authorwosid | Canan, Selime/Aaa-7946-2022 | |
| dc.contributor.author | Canan, Selime | |
| dc.contributor.author | Torun, Utku Can | |
| dc.contributor.authorID | Canan, Selime/0000-0002-8041-3272 | |
| dc.date.accessioned | 2025-12-11T00:53:26Z | |
| dc.date.issued | 2025 | |
| dc.department | Ondokuz Mayıs Üniversitesi | en_US |
| dc.department-temp | [Canan, Selime; Torun, Utku Can] Ondokuz Mayis Univ, Fac Agr, Dept Agr Econ, Samsun, Turkiye | en_US |
| dc.description | Canan, Selime/0000-0002-8041-3272; | en_US |
| dc.description.abstract | This research aimed to: (i) identify cherry varieties that maximize gross profit for producers in Ta & scedil;ova district, Amasya province, Turkey, according to their risk perceptions; (ii) reveal the effective factors in selecting the optimal cherry variety/varieties by comparing the current situation with the optimal situation; and (iii) test the economic feasibility of the production of the optimal cherry variety/varieties. The data for the research were obtained from 98 farms in Ta & scedil;ova District in Amasya. A multi-criteria decision-making method was used to determine the cherry variety, taking into account consumer demands of cherry growers, quality, land, labor resources, environmental protection and changing prices over the years. The yield value used in the gross profit calculation used in the goal programming matrix was calculated by the quality criteria for each cherry variety. According to research results, 'Karabodur', 'Lambert' and 'Early Burlet' were optimal cherry varieties for Ta & scedil;ova District. When the farmers grow these varieties, they earn $ 21 per hectare more than the current situation. Since the change in net income is positive, switching to the optimum cherry varieties is profitable. Moreover, when cherry growers take the risk of every 1% deviation in their income, they would achieve a 0.14% increase in gross profit. With the assumption that risk control tools in the cherry production process prevent risk transfer thanks to agricultural technologies and production systems that have developed and continue to develop today, profitable varieties should be grown rather than growing many varieties. Conducting macro-scale studies in which the goal cherry orchard facilities are determined on a district, provincial and regional basis by selecting the best varieties is also important for production planning and the perspective of the future years of cherry production. | en_US |
| dc.description.sponsorship | Ondokuz Mayis niversitesi [PYO.ZRT.1904.23.028]; Scientific Research Projects Coordination Unit of Ondokuz Mayimath;s University | en_US |
| dc.description.sponsorship | This work was supported by the Scientific Research Projects Coordination Unit of Ondokuz May & imath;s University [grant numbers PYO.ZRT.1904.23.028]. | en_US |
| dc.description.woscitationindex | Science Citation Index Expanded | |
| dc.identifier.doi | 10.1007/s10341-024-01236-z | |
| dc.identifier.issn | 2948-2623 | |
| dc.identifier.issn | 2948-2631 | |
| dc.identifier.issue | 1 | en_US |
| dc.identifier.scopus | 2-s2.0-85211328221 | |
| dc.identifier.uri | https://doi.org/10.1007/s10341-024-01236-z | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/40018 | |
| dc.identifier.volume | 67 | en_US |
| dc.identifier.wos | WOS:001372843100001 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.ispartof | Applied Fruit Science | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Goal Cherry Orchard | en_US |
| dc.subject | Maximizing Gross Profit | en_US |
| dc.subject | Multi-Criteria Decision-Making Method | en_US |
| dc.subject | Economic Feasibility | en_US |
| dc.subject | T & Uuml | en_US |
| dc.subject | Rkiye | en_US |
| dc.title | Quality Parameters and Variety Selection: How Does the Optimal Cherry Variety Choice Vary According to Farmers’ Risk Perceptions | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |
