Journal of Oil Palm Research Vol. 27  December 2015 p.  315-325
DOI:

A MODEL FOR PREDICTING FLOWER DEVELOPMENT IN Elaeis guineensis Jacq.

Author(s): NORASHIKIN SARPAN*; SAU-YEE KOK*; SOOK-KEAT CHAI**; ANWAR FITRIANTO‡; AZIMI NURAZIYAN*; ISHAK ZAMZURI*; MEILINA ONG-ABDULLAH* and SIEW-ENG OOI*

The proper development of oil palm fruit is important as the source of oil is the fruit mesocarp and kernel. Prior to fruit formation, the development of flowers is therefore also important. Determination of the flower development stages in oil palm generally involves tedious histological analyses of each sampled inflorescence, making it a costly and inefficient way of gauging the developmental state. In this study, a statistical model was established from the association of physical or macroscopic measurement data to flower development, which was determined via histological analyses. The final reduced ordinal logistic regression model is a partial proportional odds model that uses inflorescence length and palm age as predictors to predict the flower development stage. The likelihood-ratio X2 test suggested the model adequately fits the data (p < 0.01). The model, with a prediction accuracy of 78.5%, can be used for selecting inflorescences of specific development stages from palms aged three to 10 years of field-planting. These stages can be further verified by histological analyses. This lowers the overall costs and time by reducing the number of samples requiring histological analysis prior to downstream studies.

Keywords: , ,

Author Information
* Malaysian Palm Oil Board, 6 Persiaran Institusi, Bandar Baru Bangi, 43400 Kajang, Selangor, Malaysia. E-mail: oseng@mpob.gov.my

** Department of Cell and Molecular Biology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia,

43400 UPM Serdang, Selangor, Malaysia. ‡ Department of Mathematics, Faculty of Science, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.


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