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

期刊中报道的全球环境变化是：到达地球表面的有害紫外线-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、荒漠化和盐碱土扩大。如环境变化影响了苗期生长、成熟、抽穗期、叶片衰老及产量。利用粳稻品种“日本晴”和籼稻品种“Kasalath”的回交自交系，以及粳稻品种Akihikari和籼稻品种Miylang 23的重组自交系，检测了这些性状的QTL<BE>。在第1、7和10染色体上检测到3个耐UV-B辐射的QTL区域。GS1蛋白质含量和NADH-GOGAT蛋白质含量的QTL区域位于受氮循环影响的各种生理生化性状的QTL区域。在低氮条件下检测到叶片衰老和籽粒产量的QTL区域。抽穗期的QTL定位区域与生长季节无关，但也有部分QTL定位区域与试验区域有关。在咸水灌溉条件下检测了水稻耐盐性QTL区域，并初步总结了全球环境变化QTL区域数据，为构建水稻遗传资源数据库奠定了基础。

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.