cqvip:Predictors of performance can aid coaches and trainers in prescribing exercise programs for rowing athletes. To date, most of the prediction models have been developed for runners and cyclists. Purpose: The aim of this study was to develop a regression model to predict performance of a simulated 2 kilometer rowing ergometer time trial. Methods: A group of mixed gender rowing athletes (n = 12) completed in a counterbalanced order a 2 kilometer rowing time trial and a continuous progressively incremented graded exercise test on a rowing ergometer. Subjects were 23.91 ± 4.99 years old, weighed 79.14 ± 12.85 kg, were 187.38 ± 12.60 cm, had a VO2max of 55.48 ± 10.32 mL/kg/min and had 3.17 ± 2.79 years of rowing experience. Physiological measures were recorded during both testing protocols. Results: Maximum power/stroke ratio (r =-0.96, p < 0.001), power/stroke ratio at the ventilatory breakpoint (r =-0.90, p < 0.001), maximal oxygen uptake (r =-0.84, p < 0.001) and oxygen uptake at the ventilatory breakpoint (r =-0.82, p < 0.001) were found to be strong and significant predictors of 2 kilometer rowing performance. Conclusion: The four significant predictors of rowing performance suggest training should focus on improving both aerobic capacity and strength. Practical Application: Rowing training should focus on developing hip and leg aerobic and anaerobic capacities to improve performance. Developing strength improves mechanical efficiency as well as raising anaerobic thresholds allowing athletes to utilize a larger portion of their aerobic capacity.
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