Prediction of Rubber Yield Based on Soil Water Content

Abstract Fluctuation of monthly rainfall resulted in fluctuation rubber yield. This study was aimed to determine a model predict yield based on soil water content. conducted at Indonesian Rubber Research Institute, South Sumatera May 2022. The plant materials used this were clones PB 260 that planted 2001 two blocks field. texture these clay loam with good drainage conditions. average content and data for 11 years from the first block model. Whereas 12 second validate generated by field balance calculation. regression correlation analysis showed highest most suitable power formula Y = 0.0668X 2.1423 (coefficient determination (R 2 ) 0.80). Where, (kg/month) X (%). Furthermore, validation goodness match (GOM), Pearson coefficient (R), ), root mean square error (RMSE) 0.94, 0.95, 0.90. 10.3 respectively. These values accurate strong enough