Version 1
: Received: 16 June 2021 / Approved: 17 June 2021 / Online: 17 June 2021 (10:17:15 CEST)
How to cite:
Ahmed, A.; Yusoff Ishak, M.; Kamal Uddin, M.; Yusoff Abd Samad, M.; Mukhtar, S.; Shehu Danhassan, S. Effects of Some Weather Parameters on Oil Palm Production in the Peninsular Malaysia. Preprints2021, 2021060456. https://doi.org/10.20944/preprints202106.0456.v1
Ahmed, A.; Yusoff Ishak, M.; Kamal Uddin, M.; Yusoff Abd Samad, M.; Mukhtar, S.; Shehu Danhassan, S. Effects of Some Weather Parameters on Oil Palm Production in the Peninsular Malaysia. Preprints 2021, 2021060456. https://doi.org/10.20944/preprints202106.0456.v1
Ahmed, A.; Yusoff Ishak, M.; Kamal Uddin, M.; Yusoff Abd Samad, M.; Mukhtar, S.; Shehu Danhassan, S. Effects of Some Weather Parameters on Oil Palm Production in the Peninsular Malaysia. Preprints2021, 2021060456. https://doi.org/10.20944/preprints202106.0456.v1
APA Style
Ahmed, A., Yusoff Ishak, M., Kamal Uddin, M., Yusoff Abd Samad, M., Mukhtar, S., & Shehu Danhassan, S. (2021). Effects of Some Weather Parameters on Oil Palm Production in the Peninsular Malaysia. Preprints. https://doi.org/10.20944/preprints202106.0456.v1
Chicago/Turabian Style
Ahmed, A., Suleiman Mukhtar and Samir Shehu Danhassan. 2021 "Effects of Some Weather Parameters on Oil Palm Production in the Peninsular Malaysia" Preprints. https://doi.org/10.20944/preprints202106.0456.v1
Abstract
Abstract: The effect of some weather parameters (rainfall and temperature) on the production of oil palm in Peninsular Malaysia was investigated. Data were analysed using the Statistical Package for Social Sciences (SPSS 20.0 version), with descriptive statistics, time series analysis, and multiple linear regression (MLR) carried out. SPSS and Microsoft Excel 2010 were used to analyse the results. The MLR model determined the strength of the relationship between oil palm yield (dependent variable) and the changing variables of temperature and rainfall (independent variables). The regression output returned three components; regression coefficients, regression statistics and ANOVA. The findings of the study revealed medium to high rainfall variability at the rate of 0.0008. This implies that rainfall is increasing over time with variations in its amount and intensity. As rainfall increases oil palm FFB production is predicted to increase at a slow rate of 0.0009. The estimation of average annual temperature indicated an increase of 5.6℃ at the rate of 0.0357℃ per year with a temperature maximum of 32.01℃ and minimum of 25.45℃. The result also revealed an increase in oil palm yield at the rate of 0.2581 per year with a mean value of 176247.6. Overall, there is a significant difference in the impact of rainfall and temperature on oil palm yield. This signifies that rainfall has a significant impact on oil palm yield (FFB) compared to temperature.
Keywords
Rainfall; Temperature; oil palm; Malaysia
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
