The aim of this study was to select the abiotic tolerant sorghum mutants using chlorophyll a transient OJIP analysis of PSⅠ and PSⅡ so called Kautsky’s effect within 1 second. It was clearly identified that wwt-and drought tolerant sorghum mutants could be classified by wet factor index(WFI). On the basis of WFI, wet tolerant sorghum matants were classified as follows; Ⅰ group, MUT534 bmr/new, MUT525 bmr; Ⅱ group, M2P1207 bmr, 25M2-0404 bmr, MUT371 bmr24, unknown bmr22, 10M2-0775 bmr, MUT135 bmr23; Ⅲ group, M2P0411 bmr, MUT641 bmr, M2P1064 bmr36, MUT855 bmr, 25M2-0137 bmr/new, MUT436 bmr, M2P0929 bmr, 25M2-0026 bmr, 10M2-0387 bmr, 25M2-0173 bmr/new; Ⅳ group, 25M2-0698 bmr. In conclusion, for the selection of wet tolerance, four photochemical parameters such as Electron transport flux until PSI acceptors per PSII(RE1o/RC), Performance index for energy conservation from photons absorbed by PSII antenna, until the reduction of PSI acceptors(PI_total ABS), Driving force on absorption basis(DF_total ABS) and Electron transport flux from QA to QB per PSII(ETo/RC) were important photochemical parameters deduced from maximum quantum yield and electron transport efficiency.

Discovery, identification, and informatics of low molecular weight peptide are extensively rising in the field of proteomics research. In this study, we analyzed protein profiles to discover peptide based biomarker for twelve different soybean seeds with three different agronomic types using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). For optimization of SELDI-TOF MS in soybean seed proteome analysis, four different extraction buffers were tested with urea solubilization buffer, thiourea/urea solubilization buffer, phenol extraction buffer, and modified trichloroacetic acid (TCA)/acetone precipitation/urea solubilization extraction buffer. Two different type of ProteinChip arrays, cation exchange (CM10) and anion exchange (Q10), applied to profile peptides. Among the four different extraction buffers, phenol extraction was selected to protein extraction methodology. Numbers of detected peak cluster in twelve soybean seeds were 125 at CM10 and 90 at Q10 array in the mass range from 2 to 40 kDa. Among them, 82 peak clusters at CM10 and 33 peak clusters at Q10 array showed significantly different peak clusters at p<0.00004 (CM10) and p<0.00005 (Q10) among twelve different soybean cultivars. Moreover, 29 peak clusters at CM10 and 17 peak clusters at Q10 array were detected in all cultivars as an ‘universally existed peptide’. In comparison with three different agronomic types, total of 55 peak clusters (CM10) and 23 peak clusters (Q10) were significantly different peak clusters at p<0.00004 and p<0.0001, respectively. In these probability levels, soybean seeds were well discriminated into different cultivar and different type with each other. Also we could find several specific peptide biomarkers for agronomic type.