江苏徐淮地区连云港农业科学研究所/江苏省现代作物生产协同创新中心
国家七大育种专项(2017YFD0100400);江苏省自然科学基金(BK20161299);江苏省科技支撑项目(BE2017323);江苏省农业重大品种创制(PZCZ201704);连云港市财政专项(QNJJ201712)
Lianyungang Agriculture Science Institute/Jiangsu Collaborative Innovation Center for Modern Corp Production, Jiangsu Province Lianyungang 222006
为了探明黄淮稻区 4 个抗稻瘟病基因 Pi-ta、Pi-b、Pi54 和 Pikm 在品种资源中的分布及其不同基因型组合的抗病效性。本研究利用上述 4 个抗病基因的功能标记,对 88 个黄淮稻区育成品种进行抗稻瘟病基因型检测,结果表明:检出最多的抗稻瘟病基因组合是 Pib+Pi54,占总检测材料的 60.2%。经过 2016-2017 连续两年的人工接种鉴定和田间自然鉴定,稻瘟病感病材料比例分别达到 87.5%、77.3%,感病材料的比例增高说明抗性基因的抗性作用在逐渐降低。在检测品种中,抗性较好的 4 个基因型或基因型组合分别是 Pi-ta、Pi-ta+Pi-b、Pi-ta+Pi-b+Pi54 和 Pi-ta+Pi-b+Pi54+Pikm,但检出率很低。本研究结果说明,黄淮稻区品种中,携带 Pi-ta、Pi-ta+Pi-b、Pi-ta+Pi-b+Pi54 和 Pi-ta+Pi-b+Pi54+Pikm 基因型的抗病性较好,应得到加强利用。该研究结果对育成品种抗稻瘟病基因或基因组合跟踪检测和抗病性评价是抗稻瘟病育种的有效途径。
To clarify the distribution status of Pi-ta, Pi-b, Pi54, Pikm genes and their effects on the resistance of rice blast in Huang-Huai-Hai Region, 88 rice varieties collected from this region were detected using the functional markers that specifically target to the four genes. The genetic frequency of Pib+Pi54 was 60.2% within this collection..In parallel, this collection was subjected to test for resistance by natural infection and artificial injection in 2016 and 2017. 87.5% and 77.3% of varieties were susceptible in two years, respectively. This result suggested that the effects of resistant genes were declined. Four genes or gene combinations (Pi-ta, Pi-ta+Pi-b, Pi-ta+Pi-b+Pi54 and Pi-ta+Pi-b+Pi54+Pikm) are applicable in the rice-breeding, due to the resistance to rice blast but with low distribution in the tested varieties. Taken together, the results raised a positive strategy for breeding rice cultivars with rice blast-resistance.
王宝祥,刘艳,邢运高,等.抗稻瘟病基因Pi-ta、Pi-b、Pi54和Pikm在黄淮稻区水稻品种资源中的抗性分布[J].植物遗传资源学报,2019,20(6):1465-1471.
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