| 摘要: |
| 为筛选水稻芽期耐寒指标并建立可靠的水稻芽期耐寒性数学评价模型，采用49个水稻种质资源，测定发芽率(GR)、相对发芽率(RGR)、发芽势(GP)、相对发芽势(RGP)、发芽指数(GI)、种子萌发指数(PI)、平均发芽时间(MGT)、成苗率(SR)和萌发系数(GC)9个指标并进行主成分及隶属函数等分析，对水稻芽期耐寒性进行综合评价。结果表明，根据水稻芽期耐寒性综合评价值(D)可以将49个水稻品种分为5个等级，分别是耐寒性极强品种(IRIS 313-11965、IRIS 313-8956和IRIS 313-11038，D为0.790~0.830)、耐寒性强品种(IRIS 313-11944等17个品种，D为0.609~0.745)、耐寒性中等品种(IRIS 313-11049等7个品种，D为0.503~0.576)、耐寒性弱品种(IRIS 313-11986等13个品种，D为0.364~0.482)和耐寒性极弱品种(IRIS 313-10891等9个品种，D为 0.187~0.282)。采用逐步回归分析法建立水稻芽期耐寒性的最优回归方程:D=0.326+0.020GI+0.021SR-0.028MGT+0.025PI+0.012GR+0.137RGP，筛选出发芽率、相对发芽势、发芽指数、种子萌发指数、平均发芽时间和成苗率6个与水稻芽期耐寒性显著相关的指标。低温胁迫条件下，可通过测定这6个指标对水稻品种的芽期耐寒性进行快速准确的鉴定及评价。 |
| 关键词: 水稻 芽期耐寒 主成分分析 聚类分析 综合评价 |
| DOI：10.11841/j.issn.1007-4333.2021.07.03 |
| 投稿时间：2020-10-09 |
| 基金项目:国家自然科学基金(31970237)；沈阳市中青年创新人才项目(RC190223)；沈阳师范大学高层次人才项目(SSDBRJH2002012) |
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| Comprehensive evaluation of cold tolerance and selection of cold tolerant evaluation indicators of rice at the germination stage |
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JIN Ming1,LIU Xusheng1,PANG Hongbo1*,WANG Ze1,ZHAO Zongyao1,HAN Kangshun2,LI Yanli2,JIA Yumin2
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| (1.College of Life Science, Shenyang Normal University, Shenyang 110034, China;2.Rice Institute, Tonghua Academy of Agricultural Science, Tonghua 135007, China) |
| Abstract: |
| In order to screen cold-tolerant indexes at the germination stage of rice and establish a reliable mathematical evaluation model for the cold tolerance at the germination stage, 49 rice germplasm resources were selected in this study, and 9 indicators including germination rate(GR), germination potential(GP), relative germination rate(RGR), relative germination potential(RGP), germination index(GI), promptness index(PI), mean germination time(MGT), germination coefficient(GC)and seedling rate(SR)were measured. The principal components and membership functions were analyzed to comprehensively evaluate the cold tolerance of rice at the germination stage. The 49 rice varieties were divided into 5 grades according to their comprehensive evaluation values(D)of cold tolerance at the germination stage. Among them, the varieties with particularly strong cold tolerance(IRIS 313-11965, IRIS 313-8956 and IRIS 313-11038, D is ranged from 0. 790 to 0. 830), strong cold tolerance(IRIS 313-11944 and other 17 varieties, D is range from 0. 609 to 0. 745), moderate cold-tolerant varieties(IRIS 313-11049 and other 7 varieties, D is ranged from 0. 503 to 0. 576), weak cold-tolerant varieties(IRIS 313-11986 and other 13 varieties, D is ranged from 0. 364 to 0. 482), varieties with particularly weak cold tolerance(IRIS 313-10891 and other 9 varieties, D is ranged from 0. 187 to 0. 282). Stepwise regression analysis was used to obtain the optimal regression equation for cold tolerance during the germination stage of rice: D=0. 326+0. 020GI+0. 021SR-0. 028MGT+0. 025PI+0. 012GR+0. 137RGP. A total of 6 indicators were selected as follows: germination rate, relative germination potential, germination index, promptness index, mean germination time and seedling rate. These 6 indicators displayed significant impact on the cold tolerance of rice at the germination stage. In conclusion, under low temperature stress conditions, these 6 indicators can be used to quickly and accurately identify and evaluate the cold tolerance of rice varieties at the germination stage. |
| Key words: rice cold tolerance at the germination stage principal component analysis cluster analysis comprehensive evaluation |
