Coconut (Cocos nucifera L.) holds significant economic and cultural value in tropical regions, supporting diverse industries through its products such as coconut oil, water, milk, and coir. Recent studies highlight that plant growth metrics, including stem diameter, height, and chlorophyll content, are essential indicators of plant health, providing insights into the coconut's physiological status and productivity potential (Zhang et al., 2022). Recent studies highlight that plant growth metrics, including stem diameter, height, and chlorophyll content, are essential indicators of plant health, providing insights into the coconut's physiological status and productivity potential (Zhang et al., 2022). This study developed a linear regression model to predict stem diameter (D), height (H), and chlorophyll content (SPAD) in coconut plants based on environmental and treatment factors. Conducted over two cultivation seasons (January–June and July–December 2023) at the Faculty of Engineering, Universiti Putra Malaysia, the experiment employed a specific growing media (M3) comprising 50% soil, 30% cocopeat, and 20% perlite. Predictor variables included time (W), nitrogen (N), potassium (K), moisture content (MC), wind speed (WS), and electrical conductivity (EC). The regression analysis indicated that time (W) positively influenced stem diameter (0.3875) and height (0.3329), with nitrogen (N) also contributing positively to diameter (0.08827). In contrast, potassium (K) negatively impacted stem diameter (-0.03461) and height (-0.0505), as did moisture content (-0.01561) and wind speed (-0.3872). For chlorophyll content, time (W) (2.399) and electrical conductivity (EC) (0.0193) were positive predictors, while potassium (-0.3063) and wind speed (-3.416) had negative effects. ANOVA confirmed the significance of time, potassium, moisture content, and wind speed on growth parameters. Time was identified as a critical factor for coconut development, underscoring the importance of managing these variables to optimize growth and chlorophyll content. These findings provide valuable insights for enhancing coconut cultivation strategies.

Keywords: Coconut growth; Linear regression; Stem diameter; Height, Chlorophyll content; Environmental factors.

Figure 1: Rain shelter nursery in Faculty Engineering of UPM roof top area

Figure 2: Coconut stem diameter and height measurement

Figure 3: Measurement of the coconut height and chlorophyll content

Source: Ahmad Syafik Suraidi Sulaiman, Aimrun Wayayok, Mui-Yun Wong, Samsuzana Abd Aziz, Leifeng Guo. Predictive Modelling of Coconut (Cocos nucifera L.) Growth Parameters Using Linear Regression: Insights into Stem Diameter, Height, and Chlorophyll Content. International Journal of Agriculture and Biosciences. Accepted 2025. Scopus Q2.

Pautan: https://doi.org/

Date of Input: 29/09/2025 | Updated: 29/09/2025 | ainzubaidah