Contraction of database for rice genetic resources in tolerance to global environmental changes.

期刊报道的全球环境变化是到达地球表面的有害UV-B辐射增加，大气二氧化碳浓度增加，大气温度上升，海水表面上升，荒漠化和盐碱地膨胀。如环境变化影响苗期生长、成熟、抽穗期、叶片衰老和籽粒产量等。利用来自日本晴和早稻的回交自交系和来自秋光和米浪23的重组自交系检测了这些性状的QTL。在开花和成熟期补充UV-B辐射(4.2kJ/m2/d UV-B&lt；BE&GT；在第1、7和10号染色体上检测到了3个耐UV-B辐射增强的QTL区域。一些控制GS1蛋白含量和NADH-GOGAT蛋白含量的QTL区域位于受氮素循环影响的各种生化和生理性状的QTL区域。在低氮条件下检测到了叶片衰老和产量的QTL区域。抽穗期的一些QTL区域与生长季节无关，而某些QTL区域取决于试验区。为了构建水稻遗传资源数据库，总结了全球环境变化的QTL区域的初步数据。

The global environmental changes reported in journals are the increase in harmful UV-B radiation reaching the Earth's surface, the increases in the concentration of atmospheric carbon dioxide, the rise in an atmospheric temperature, the rising of the seawater's surface, desertification and the expansion of saline soil. Such as environmental changes affected the growth of seedling stage, ripening, heading time, senescence of leaf blade and grain yield. The QTLs for these traits were detected by using backcross-inbred lines derived from japonica rice cultivar "Nipponbare" and indica rice cultivar "Kasalath", and recombinant inbred lines derived from japonica rice cultivar Akihikari and indica rice cultivar Miylang 23.The decrease of grain size were produced by supplemental UV-B radiation (4.2 KJ/m^2/day UV-B_<BE>) during flowering and ripening stage. Three QTL regions for tolerance to the increased UV-B radiation were detected on the chromosome 1, 7 and 10. Some QTL regions for GS1 protein content and NADH-GOGAT protein content were located in QTL regions for various biochemical and physiological traits affected by nitrogen recycling. The QTL regions for senescence of leaf blade and grain yield were detected in low nitrogen fertilization. Some QTL regions for heading time were detected irrespective of growing seasons, and some QTL regions depended on the experimental regions. The QTL regions for salt tolerance were detected in the paddy field supplemented with saline irrigated water.To constrict the database on the rice genetic recourses, we summed up preliminary data of QTL regions for global environmental changes.