Leaf Area Index Model for Oil Palm FFB yield prediction
2007
W. I. Wan Ishak | M. A. Awal
Accurate and reliable computer simulation models are alternative sources of information for replacing or enhancing information derived from costly and arduous field experiments, especially for perennial crops like oil palm. Leaf area index (LAI) is an important parameter, which is used in growth modelling of crops. Direct or destructive method of LAL measurement is time consuming, laborious and involves high cost. Hence, in the oil palm, LAI need to be measured indirectly. A computer simulation model was developed using Visual C++ to simulate leaf area index for indirect estimation of LAL. Leaf area index was modelled based on OPSIM approach (Van Kraalingen, 1985). A significant relationship was found between the simulated leaf area index and measured leaf area index. A good relationship was also found between simulated LAL and Yield of the oil palm, which could be used as an indirect means of yield prediction of the oil palm. In sensitivity analysis, results showed that the simulated LAL was sensitive to both Specific Leaf Area (SLA) and extinction coefficient 'k\ From this study, it can be concluded that the LAL could be fairly estimated using the computer program developed.
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Эту запись предоставил Universiti Putra Malaysia