GÜÇLÜ, Sultan Filiz Süleyman Demirel Üniversitesi - Atabey Meslek Yüksekokulu, Turkey , ÖNCÜ, Ziya Süleyman Demirel Üniversitesi - Atabey Meslek Yüksekokulu, Turkey , KOYUNCU, Fatma Süleyman Demirel Üniversitesi - Ziraat Fakültesi - Bahçe Bitkileri Bölümü, Turkey

Some Stone Fruit Species Pollen Germination and Tube Length Modeling with Multiple Regression Method

25467

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.

92

Statistical modeling , Regression , Pollen tube , Germination

Journal Of Natural an‎d Applied Sciences

97