Daftar Isi:
  • Rice (Oryza sativa L.) is an important food commodity to meet human nutritional needs. The needs of the Indonesian people for rice are highly valued at 1.571kg / week (BPS, 2018). The problem is that local rice production in Indonesia is still low. Efforts can be made to meet the needs of rice in Indonesia, namely through a breeding program for mutation of gamma radiation to local rice. This study used a Factorial Completely Randomized Design and Factorial Randomized Group Design with two treatment factors, namely rice seed lines and doses of gamma ray radiation. The data obtained were analyzed using the F test to determine the effect of the treatment given. Then continued by BNJ test the level is ∝5% to find out the comparison between treatments using SAS 9.0. Correlation analysis is performed to determine the relationship between observed variables using SPSS 16.0. The performance of radicula, vigor index, seed growth rate, number of germinating seeds and highest maximum growth potential was obtained in MSP4 and MSP13 rice seeds without gamma radiation, followed by a combination of MSP13 strain treatment which was irradiated by 200Gy gamma and the lowest in MSP4 and MSP13 strain combinations which was irradiated by 500Gy gamma, while the interaction of various strains of rice and gamma doses did not cause significant differences in performance when leaf appeared and germination. The highest number of mutant rice leaves in the initial growth was obtained from the MSP13 treatment combination with 300Gy gamma radiation, while the number of leaves was the least in the MSP4 treatment combination with 100Gy gamma radiation. The interaction of strains and gamma radiation doses did not cause significant differences in the performance of the number of roots, seed height, and root length. Correlation between the variables of the germination phase is evident between the vigor index variable and when the radicle appears, a real correlation occurs between the whole variables. The correlation between the phase variables of the initial growth is entirely unreal.