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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