PENGARUH PERBEDAAN FREKUENSI PEMBERIAN PAKAN TERHADAP PERTAMBAHAN BOBOT YUWANA KAKAP MERAH, Lutjanus argentimaculatus
Abstract
Feeding frequency was an important factor that gave the influence to growth and also for effectiveness using the feed. This research was aimed to get the information about effective feeding frequency on rearing of mangrove snapper Lutjanus argentimaculatus juvenile. This research was using12 polyethylene tank of 60 L in volume and 180 juvenile of 56 days old with 0.18 ± 0.03 grams of body weight. Complete random design with four treatments and three replicates was used in this research. The treatment was different feeding frequency, i.e.: (A) 2 times perday (08:00, 14:00); (B) 4 times perday (08:00, 11:00, 14:00, 17:00); 6 times perday (08:00, 10:00, 12:00, 14:00, 16:00, 18:00); dan 8 times perday (08:00, 09:30, 11:00, 12:30, 14:00, 15:30, 17:00, 18:30). The result indicated that different feeding frequency was significant to body weight, body weight gain and daily growth rate of mangrove snapper juvenile, also to feed conversion ratio and feeding efficiency, but not significant to survival rate. Feeding frequency 8 times perday with interval 1.5 hours gave the biggest of body weight, body weight gain and daily growth rate, the lowest of feed conversion ratio and the highest of feeding efficiency.
Keywords
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PDFDOI: http://dx.doi.org/10.15578/jra.1.2.2006.151-159

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p-ISSN 1907-6754
e-ISSN 2502-6534
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