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| 水稻苗期耐冷种质资源筛选及耐冷性综合评价 |
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程露1,项阳1,逄洪波1,2*,职铭阳1,赵宗耀1,金明1,陈强2,郑晓明3
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| (1.沈阳师范大学 生命科学学院, 沈阳 110034;2.沈阳师范大学 实验教学中心, 沈阳 110034;3.中国农业科学院 作物科学研究所, 北京 100081) |
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| 摘要: |
| 为鉴定和筛选水稻苗期耐冷种质资源，采用主成分分析法，结合形态学和光合生理指标，对52份水稻种质资源的苗期耐冷性指标进行综合评价。结果表明，根据相关分析显示6个光合生理指标与形态学指标黄叶率之间均呈负相关关系；主成分分析将7个单项指标转换成3个相对独立的综合指标，累计贡献率达83.991%；根据耐冷性综合评价值(D)，将52个品种划分为极强耐冷、强耐冷、中耐冷，弱耐冷及冷敏感5类，共筛选出‘东农4号’、‘合江4号’和‘津原85’ 3份苗期耐冷性极强的品种；回归分析表明利用该方程对供试材料进行耐冷性预测，其结果与D的结果相一致，表明此综合评价法可用于水稻苗期耐冷种质资源的筛选和综合鉴定评价。 |
| 关键词: 水稻 耐冷性 主成分分析 隶属函数 |
| DOI：10.11841/j.issn.1007-4333.2022.02.04 |
| 投稿时间：2022-02-22 |
| 基金项目:国家自然科学基金(31970237)；沈阳市中青年科技创新人才计划(RC190223)；沈阳师范大学高层次人才项目(SSDBRJH2002012)；大学生创新创业训练计划(S202010166012) |
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| Screening and comprehensive evaluation of cold-tolerant germplasm resources at rice seedling stage |
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CHENG Lu1,XIANG Yang1,PANG Hongbo1,2*,ZHI Mingyang1,ZHAO Zongyao1,JIN Ming1,CHEN Qiang2,ZHENG Xiaoming3
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| (1.College of Life Science, Shenyang Normal University, Shenyang 110034, China;2.Experimental Teaching Center, Shenyang Normal University, Shenyang 110034, China;3.Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China) |
| Abstract: |
| In order to identify and screen the cold-resistant of rice germplasm resources at the seeding stage, principal component analysis method combined with morphological and photosynthesis physiological indicators was used to comprehensively evaluate the cold tolerance of 52 rice germplasm resources at seedling stage. The results show that: According to the correlation analysis, there is a negative correlation between the 6 photosynthetic physiological indicators and the yellow leaf rate of morphological indicators; The principal component analysis result converts 7 individual indicators into three independent comprehensive indicators with a cumulative contribution rate of 83. 991%; According to the comprehensive cold tolerance evaluation value(D), the 52 rice varieties are divided into 5 categories including extremely strong cold-resistant, strong cold-resistant, medium-resistant, weak-resistant and cold-sensitive. Rice varieties ‘Donong 4', ‘Hejiang 4' and ‘Jinyuan 85' with strong cold tolerance at seedling stage were identified. The regression analysis results show that the equation can be used to predict the cold tolerance of the tested materials, and the result is consistent with the result of D, indicating that the comprehensive evaluation method can be used in the rice seeding stage screening and comprehensive appraisal of cold-tolerant germplasm resources. |
| Key words: rice cold resistance principal component analysis membership function |
