Plant biomass is a huge carbon-complex that has potential as a nutrient. Therefore we extracted and separated useful materials for plant growth from tea leaf and stem. The pre-treatment process including high temperature (200 °C) and pressure (20-40 kgf/cm2) was treated for several minutes and extracted at 120 °C for 30-60 minutes. After that the chemical compositions and ingredients were analyzed from that plantnutrient. As a result of mineral contents, calcium and magnesium concentrations are higher than other minerals. Also the result of carbohydrates analyses has shown that the sugar oligomer consists of xylose(95.3%) and glucose(4.7%), and the sugar monomer consists in the order of xylose (52.7%) > manose (22.8%) > arabinose (10.8%) > galactose (10.2%) > glucose (3.5%). Before applied to field, in vitro plant growth system and formulation were examined. To evaluate the effect of the nutrients, both strawberry green-house and persimmon fields were used in this test. The treated persimmons were heavier than controls scored at 13-22%. In addition, the storageperiod was extended in the treated strawberries. Interestingly in the treated strawberry, the contents of polyphenols were increased (38-57%). These results suggest that the plant-nutrient can afford to help for plant growth and storage, and it can be substituted for other commercial nutrients. In conclusion, this plant-nutrient may help to extend eco-friendly or organic farming in Hadong-gun area.

A recombinant inbred lines (RILs) consisting of 231 lines, derived from a japonica (Suweon365) and a japonica (Chu-cheongbyeo) rice, was used to investigate the genetic factors affecting cooking and eating quality of rice. Alkali digestion valueloci (QTLs

The genetic basis underlying heterosis for agronomic traits of rice under cold water irrigated field condition was investigated in the 143 RILs and 286 BC₁F₁ lines from the cross between a cold-susceptible variety, Milyang23 and a co

Genetic diversity of 94 japonica rice was assessed using 81 simple sequence repeat (SSR). All 81 SSR markers generated a total of 351 alleles. The number of alleles ranged from 1 to 16 with a mean of 4.3 alleles per SSR marker. Six of 81 SSR markers showe