AUTOREGRESSIVE TECHNIQUE IN LENGTH GROWTH MODELING OF 2 INDIAN MAJOR CARP, CATLA-CATLA (HAMILTON) AND LABEO-ROHITA (HAMILTON), REARED UNDER2 HOLDING CONDITIONS

An autoregressive analysis was performed on data from an investigation of the velocity and acceleration of the day-to-day length increments of two Indian major carp, Catla catla (Hamilton) and Labeo rohita (Ham ilton), hatched in artificial (Chinese-style hatchery) and semi-natura l (improvised pits) holding conditions. The autoregressive model, whic h was capable of providing short- and long-term predictions, was teste d in parallel with a time regressive model and an instantaneous growth rate model. The estimate simulating short-term predictions was found to describe the data more efficiently than the other estimates of the models. Product-moment correlations comparing the two holding systems revealed no source-specific variation of growth between the species. H owever, the significant length velocity correlation suggests that the artificial system has greater efficacy.