Statistical Model for Yield Estimation of ‘Gala Red Lum’ Apples after Bloom in Northern India

The objective of this paper is to develop the best fitted model for estimating yield in Gala Red Lum after bloom. The data used for this research were primary data collected from high density apple block of SKUAST-Kashmir (HDP, Plate-1). The study was undertaken at experimental field of Division of Fruit Science, SKUAST-Kashmir, Srinagar, J&K, Northern India, during the years 2015 and 2016. The measurements of various tree/fruit characteristics in Gala Red Lum were recorded. The data recorded was pooled to average out the on /off bearing effect. Regression technique was used to find the relationship between the yield and various biometrical characters of apple trees. Models were first developed on the whole population and then on sample. The best fitted model was Y= -FCT+FCA-FCT*FCA and was validated by using k-fold cross validation and bootstrap validation techniques. Thus, the developed model can be used for estimating the yield in Gala Red Lum after bloom.