| dc.contributor.author | Demirsoy, H | |
| dc.contributor.author | Demirsoy, L | |
| dc.contributor.author | Uzun, S | |
| dc.contributor.author | Ersoy, B | |
| dc.date.accessioned | 2020-06-21T15:38:27Z | |
| dc.date.available | 2020-06-21T15:38:27Z | |
| dc.date.issued | 2004 | |
| dc.identifier.issn | 1611-4426 | |
| dc.identifier.issn | 1611-4434 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/21394 | |
| dc.description | WOS: 000224518500002 | en_US |
| dc.description.abstract | In this research, a model for predicting the leaf area was developed for peach by using 'Earlyred', 'Dixired', 'Cardinal', 'Redhaven', 'Glohaven' and 'Crest-haven' cvs. by measuring lamina width, length and leaf area without destroying in 2002. Multiple regression analysis for the cultivars was separately performed. The proposed leaf area (LA) prediction model is: LA=-0.5+0.23*L/W+0.67*L*W, R-2=0.9975, LA is leaf area, W is leaf width, L is leaf length. The model was validated by measuring leaf samples of different peach trees of the six cultivars in 2003. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Int Soc Horticultural Science-Ishs | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | peach | en_US |
| dc.subject | non-destructive leaf area estimation | en_US |
| dc.subject | multiple regression analysis | en_US |
| dc.title | Non-destructive leaf area estimation in peach | en_US |
| dc.type | article | en_US |
| dc.contributor.department | OMÜ | en_US |
| dc.identifier.volume | 69 | en_US |
| dc.identifier.issue | 4 | en_US |
| dc.identifier.startpage | 144 | en_US |
| dc.identifier.endpage | 146 | en_US |
| dc.relation.journal | European Journal of Horticultural Science | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
