Abstract

Forty 3-week old male Wistar rats (initial weight 45-50 g) were used. After weaning they were fed ad libitum for four weeks (I to IV) on 6 isocaloric and isonitrogenous semisynthetic diets based on soya bean meal (diet SBM) or on ground lupin seed (diet LS) alone or autoclaved (A) or not at 120 degrees C and supplemented with DL-methionine (diets ALSm or LSm, respectively) or with DL-methionine + L-lysine (diets ALSm + l or LSm + l). The diets differ in their protein quality and were formulated in order to provide the adequate experimental conditions to determine the biological value (10% crude protein). Then over the fifth and sixth weeks (V and VI) the rats were fed on the same diets but restricted to 60% of the voluntary feed intake. In a parallel experiment, a group of eight rats previously fed ad libitum on diet SBM for four weeks was fasted for 72 h and then fed on the same diet at a level of intake slightly below maintenance. After a 24 h adaptation period, irrespective of the level of intake and type of diet, a series of 24 h gas-exchanges measurements were carried out in open-circuit respiration chambers. Measurements of energy balance were used to calculate ME for maintenance (MEm) and the efficiency of utilization of ME, using a linear regression of energy retention (RE) on ME. The estimates for MEm derived from energy balances of rats fed above maintenance ranged from 564 to 621 kJ/kgW0.75 per d. No significant differences between diets were observed. From pooled data MEm was found to be 599 kJ/kgW0.75 per d, a value not significantly different from that calculated from measurements at fasting and below maintenance levels (598 kJ/kgW0.75 per d). The efficiency of utilization of ME for maintenance was 81.1% and the efficiencies of utilization of ME for RE ranged from 36.6 to 59.9%. It is concluded that no variations in MEm requirements in growing rats attributable to variations in dietary protein quality have been found. Nevertheless, these results should be taken with caution because of limitations inherent of statistical modelling approaches of partitioning ME.

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