Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by Fikret Ozkaraman
Total Records ( 1 ) for Fikret Ozkaraman
  Sezgin Uzun , Dilek Marangoz and Fikret Ozkaraman
  A simple regression model based on mean temperature was developed to be used for predicting the time elapsing from seed sowing to seedling emergence for some vegetable crops, namely tomato (Lycopersicon esculentum, Mill.), pepper (Capsicum annum, L.), aubergine (Solanum melongena, L.), pea (Pisum sativum, L.), carrot (Daucus carota, L.), sweat corn (Zea mays), cabbage (Brassica oleraceae L.var. capitata (L) Alef), cauliflower Brassica oleraceae L.var. botrytis L), onion (Allium cepa, L.), celery (Apium graviolens, L.), lettuce (Lactuca sativa, L.), parsley (Petroselinum hortense) , garden beet (Beta vulgaris, L.), cucumber (Cucumis sativus, L.), melon (Cucumis melo, L.), runner bean (Phaseolus vulgaris, L.), watermelon (Citrullus lanatus, Thunb.), okra (Hibiscus esculentus, L.), asparagus (Asparagus officinalis, L.), spinach (Spinacia oleracea, L.), radish (Rhaphanus sativus, L.) and turnip (Brassica rapa, L.). The prediction performance of the model with respect to the data used was highly acceptable. R2 values of regression co-efficients for each crop varied from 0.94 to 0.99 depending on the species. Plotting the actual days from seed sowing to emergence for all the crops against the predicted ones showed that the prediction performance of the model was good explaining 98% of the variation for combined data from all the crops. The present model also predicted optimum temperatures (To) for tried vegetables in the limits of acceptability.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility