Agronomic Performances in M1 Generation of Aromatic and Non-Aromatic Rice Cultivars Under Drought Stress Level of -0.03 MPa

Abstract

The greenhouse gas emissions increases along with the development of flooded rice fields, so the efforts to improve the drought-resistance characters on rice is viewed as one of environmentally friendly solutions that can give significant contribution to control the global warming. The research was arranged in split-plot design with ten replications. There were four rice cultivars as the main plot and nine mutagen groups as the sub-plot, so there were 36 treatment combinations. The observation was based on data of agronomic performances. The data were tabulated and analyzed with generalized linear models in PROC GLIMMIX procedure of SAS 9.4 software. Least square means were generated and compared through ADJUST=SIMULATE LINES option of LSMEANS statements, and the significance level for tests of significance among means was set at probability level of 0.05. The result showed that the genotypes in M1 generation shows high diversity under the drought stress level of -0.03 MPa, in which the best combination between cultivar and mutagen is Inpago Unsoed 1 that was irradiated with gamma 100 gray and then soaked in sodium azide for 2 hours. The results is expected to be used in determining the genotypes for the next drought-resistant rice breeding program.