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- Title
Bazı Sert Çekirdekli Meyve Türlerinde Çiçek Tozu Çimlenmesi ve Çim Borusu Uzunluğunun Çoklu Regresyon Yöntemi ile Modellenmesi.
- Authors
GÜÇLÜ, Sultan Filiz; ÖNCÜ, Ziya; KOYUNCU, Fatma
- Abstract
The models produced in agriculture related work arise as a result of more than one factor. Regression analysis is one of the accepted methods to reveal such patterns. In this study, 4 different varieties of pollen germination rate and the pollen tube length data was measured under different temperature and time conditions in a laboratory environment. Multiple regression method with grass pollen germination rate and pollen tube length prediction models were constructed using this measurement data. The performance of the model was determined by correlation coefficient (R²) and root mean square error (RMSE) values. In pollen tube length model, the R² values between 0.69 and 0.79, the RMSE values between 13.73 and 21.3. In the germination rate model the R² values between 0.63 and 0.9, the RMSE values between 6.15 and 10.19.
- Publication
Journal of Natural & Applied Sciences, 2015, Vol 19, Issue 3, p92
- ISSN
1300-7688
- Publication type
Article
- DOI
10.19113/sdufbed.04496