The study is an approach to identity the causes of low yields in rubber smallholdings in Sri Lanka through questionnaire surveys, field inspections and participatory rural appraisals (PRA). Further, a case study is presented which merges information collected from various data collection procedures including farmers' views. The study was conducted in three major rubber growing districts, viz., Kegalle, Kalutara and Ratnapura. Growth Performance Index (GPI) and Yield Performance Index (YPI) were suggested to identity the existing status of immature and mature holdings. The GPI suggests only 35 per cent of the sample had the required tree girth for successive subsidy payments. Based on the YPI, 73 per cent of the fields have recorded below average yields, mainly due to low proportion of holdings under new improved clones. Awareness and adoption rates of most of the recommendations were low, which may be a great set back on achieving expected targets, although new improved clones and planting material are being distributed among smallholders. The Bayesian Network (BN) model helps to come up with suitable remedial measures to improve the productivity in the smallholder sector of Sri Lanka and is of immense importance in making appropriate policy decisions.
Bayesian network, Growth, Natural rubber, Performance index, Smallholdings, Yield