Crops ›› 2026, Vol. 42 ›› Issue (1): 54-59.doi: 10.16035/j.issn.1001-7283.2026.01.008

Previous Articles     Next Articles

Identification, Evaluation and Screening of Cold Tolerance in Japonica Rice at Germination Stage in Northern China

Jiang Kunwei(), Sun Guocai, Wang Jian, Wang Guiyan, Cui Yuefeng()   

  1. Tieling Academy of Agricultural Sciences, Tieling 112616, Liaoning, China
  • Received:2024-08-14 Revised:2024-10-11 Online:2026-02-15 Published:2026-02-10

Abstract:

Northern Japonica rice region is susceptible to cold damage, and breeding cold-tolerant rice varieties is the most direct and effective means to address this issue. In this study, 45 accessions of northern Japonica rice were used as experimental materials. Under 14 °C cold stress, seven indicators including germination potential, germination rate, germination index, vigor index of shoot, vigor index of root, average germination days, and germination coefficient were measured. Multivariate statistical methods such as correlation analysis, principal component analysis (PCA), membership function comprehensive analysis, and cluster analysis, were employed to evaluate cold tolerance. The results showed that all germination indicators exhibited varying degrees of decline under cold stress, with the vigor index of root showing the most obvious decrease. By calculating the membership function values of each indicator, the seven indicators were transformed into two comprehensive indicators through PCA. Cluster analysis was then used to categorize the 45 accessions into four groups, successfully screening 13 cold-tolerant materials. Furthermore, a regression equation was established, which identified that germination potential, germination rate, vigor index of root, and germination coefficient are the key indicators for evaluating cold tolerance in northern Japonica rice at the germination stage.

Key words: Japonica rice, Germination stage, Cold stress, Comprehensive evaluation

Table 1

Information of tested rice from China"

编号Number 材料Material 来源Origin 编号Number 材料Material 来源Origin
J1 吉粳860 吉林省农业科学院 J11 优育104 宁夏农林科学院农作物研究所
J2 吉大388 吉林大学植物科学学院 J12 松粮850 松原粮食集团水稻研究所有限公司
J3 富禾稻1305 辽宁东亚种业有限公司 J13 吉粳855 吉林省农业科学院
J4 京粳24 中国农业科学院作物科学研究所 J14 北粳255 沈阳农业大学
J5 天隆优717 辽宁天隆生物科技有限公司 J15 新疆-10 新疆维吾尔自治区农业科学院
J6 沈稻523 沈阳农业大学 J16 天隆优619 天津天隆种业科技有限公司
J7 沈稻97 沈阳农业大学 J17 铁粳1913 铁岭市农业科学院
J8 吉大978 吉林大学植物科学学院 J18 铁粳1947 铁岭市农业科学院
J9 盐粳2122 辽宁省盐碱地利用研究所 J19 铁粳1811 铁岭市农业科学院
J10 盘粳508 盘锦北方农业技术开发有限公司 J20 铁粳1808 铁岭市农业科学院
J21 铁粳96 铁岭市农业科学院 J33 花粳97 辽宁省盐碱地利用研究所
J22 铁粳1603 铁岭市农业科学院 J34 东研稻27 东港市示范繁殖农场
J23 铁粳1743 铁岭市农业科学院 J35 港优9号 东港市示范繁殖农场
J24 铁粳1712 铁岭市农业科学院 J36 阳光33 大石桥市阳光种业有限公司
J25 北粳3-2 沈阳农业大学 J37 沈农315 沈阳农业大学
J26 北粳4号 沈阳农业大学 J38 丹213 丹东农业科学院
J27 北粳K13 沈阳农业大学 J39 盐粳196 辽宁省盐碱地利用研究所
J28 铁粳11号 铁岭市农业科学院 J40 沈农518 沈阳农业大学
J29 铁粳香3号 铁岭市农业科学院 J41 盘粳202 盘锦北方农业技术开发有限公司
J30 营育9号 大石桥市阳光种业有限公司 J42 天实稻821 沈阳市天实水稻技术研究所
J31 沈稻6号 沈阳农业大学 J43 辽粳810 辽宁省水稻研究所
J32 辽粳9号 辽宁省水稻研究所

Table 2

Trait indexes of 45 rice materials at germination stage under cold stress"

处理
Treatment
项目
Item
发芽势
GP (%)
发芽率
GR (%)
发芽指数
GI (%)
芽活力指数
VIS
根活力指数
VIR
平均发芽天数
AGD (d)
发芽系数
GC
T 最大值Max. 0.92 0.98 45.70 594.46 516.00 11.39 0.31
最小值Min. 0.00 0.27 3.12 10.61 0.00 2.98 0.03
平均值Mean 0.46 0.83 19.55 226.52 177.64 6.27 0.16
标准差SD 0.30 0.19 10.15 173.19 150.70 2.17 0.07
变异系数CV (%) 65.90 23.57 51.94 76.45 84.83 34.59 48.17
CK 最大值Max. 1.00 1.00 95.65 2037.35 3118.19 3.49 0.92
最小值Min. 0.16 0.93 32.58 485.47 729.83 1.09 0.27
平均值Mean 0.76 0.98 67.96 1171.22 1688.77 1.96 0.56
标准差SD 0.19 0.02 18.15 386.99 593.31 0.62 0.18
变异系数CV (%) 25.03 1.95 26.71 33.04 35.13 31.83 32.17

Table 3

Cold tolerance coefficients of 45 rice materials at germination stage"

项目Item CRC1 CRC2 CRC3 CRC4 CRC5 CRC6 CRC7
最大值Max. 0.99 0.99 0.56 0.42 0.26 5.62 0.50
最小值Min. 0.00 0.27 0.06 0.02 0.00 1.66 0.07
平均值Mean 0.55 0.84 0.28 0.18 0.10 3.28 0.28
标准差SD 0.33 0.19 0.11 0.11 0.07 0.90 0.10
变异系数CV (%) 60.16 22.99 38.98 63.80 74.85 27.40 37.24

Fig.1

Correlation analysis of cold tolerance coefficients of 45 rice materials at germination stage “**”and“***”indicate extremely significant correlations at the P < 0.01 and P < 0.001 levels, respectively."

Table 4

Principal component analysis of cold tolerance coefficients of 45 rice materials"

项目Item CI1 CI2
CRC1 0.174 0.061
CRC2 0.135 0.605
CRC3 0.182 ?0.063
CRC4 0.179 0.099
CRC5 0.173 0.108
CRC6 ?0.119 0.744
CRC7 0.179 ?0.162
特征值Eigenvalue 5.266 1.024
贡献率Contribution rate (%) 75.233 14.633
累计贡献率Cumulative contribution rate (%) 75.233 89.866

Fig.2

Clustering heat maps of cold tolerance of 45 rice accessions at germination stage under cold stress"

Table 5

Estimation accuracy of regression analysis equation for cold tolerance evaluation at germination stage"

编号
Number
D D1 精度
Accuracy (%)
编号
Number
D D1 精度
Accuracy (%)
编号
Number
D D1 精度
Accuracy (%)
J1 0.384 0.387 99.174 J16 0.668 0.657 98.367 J31 0.529 0.534 98.923
J2 0.481 0.484 99.154 J17 0.583 0.601 97.027 J32 0.802 0.824 97.274
J3 0.094 0.101 92.947 J18 0.233 0.233 99.989 J33 0.480 0.473 98.567
J4 0.251 0.239 95.434 J19 0.542 0.534 98.123 J34 0.714 0.721 99.136
J5 0.711 0.681 95.834 J20 0.675 0.681 99.014 J35 0.676 0.711 95.137
J6 0.430 0.441 97.413 J21 0.754 0.723 95.906 J36 0.352 0.349 98.978
J7 0.229 0.223 97.389 J22 0.797 0.811 98.264 J37 0.065 0.068 95.174
J8 0.593 0.618 95.981 J23 0.689 0.722 95.467 J38 0.402 0.401 99.751
J9 0.581 0.596 97.442 J24 0.584 0.552 94.586 J39 0.415 0.411 98.933
J10 0.310 0.311 99.528 J25 0.499 0.513 97.244 J40 0.519 0.519 99.923
J11 0.155 0.166 93.599 J26 0.427 0.438 97.484 J41 0.777 0.724 93.275
J12 0.851 0.828 97.190 J27 0.761 0.746 97.864 J42 0.558 0.554 99.273
J13 0.173 0.180 95.908 J28 0.440 0.444 99.196 J43 0.397 0.400 99.238
J14 0.377 0.386 97.729 J29 0.890 0.891 99.917 J44 0.258 0.258 99.964
J15 0.641 0.666 96.304 J30 0.024 0.025 94.756 J45 0.364 0.336 92.264
[1] 刘次桃, 王威, 毛毕刚, 等. 水稻耐低温逆境研究:分子生理机制及育种展望. 遗传, 2018, 40(3):171-185.
[2] Gelaw T A, Sanan-Mishra N. Nanomaterials coupled with microRNAs for alleviating plant stress: a new opening towards sustainable agriculture. Physiology and Molecular Biology of Plants, 2022, 28(4):791-818.
doi: 10.1007/s12298-022-01163-x pmid: 35592477
[3] 李可, 蒋伟勤, 车阳, 等. 水稻冷害成灾机制与调控机理研究进展及展望. 江苏农业科学, 2024, 52(2):31-40.
[4] 闫锋, 董扬, 李清泉, 等. 谷子育成品种萌芽期耐冷性综合评价. 作物学报, 2024, 50(9):2207-2218.
doi: 10.3724/SP.J.1006.2024.34216
[5] Wang W J, Huang R Z, Wu G G, et al. Transcriptomic and QTL analysis of seed germination vigor under low temperature in weedy rice WR04-6. Plants, 2023, 12(4):871-886.
doi: 10.3390/plants12040871
[6] 陈亮, 楼巧君, 孙宗修, 等. 水稻低温发芽力的QTL定位. 中国水稻科学, 2006, 20(2):159-164.
[7] Fiorillo A, Mattei M, Aducci P, et al. The salt tolerance related protein (STRP) mediates cold stress responses and abscisic acid signalling in Arabidopsis thaliana. Frontiers in Plant Science, 2020, 13(11):1251-1264.
[8] 刘琳帅, 卞景阳, 孙兴荣, 等. 水稻低温冷害的研究进展. 江苏农业科学, 2022, 50(24):9-15.
[9] 余志刚, 崔钊达, 宫思羽. 东北地区建设国家粮食安全产业带:基础优势、制约瓶颈和建设路径. 农村经济, 2022(5):50-59.
[10] 杨川航, 王玉平, 涂斌, 等. 利用籼粳交RIL群体对水稻耐寒性及再生力的QTL分析. 中国水稻科学, 2012, 26(6):741-745.
[11] 唐亮, 陈温福. 北方粳稻新品种培育与发展. 中国稻米, 2022, 28(5):79-81.
doi: 10.3969/j.issn.1006-8082.2022.05.013
[12] 檀艳静, 张佳华, 姚凤梅, 等. 中国作物低温冷害监测与模拟预报研究进展. 生态学杂志, 2013, 32(7):1920-1927.
[13] 李莺歌, 吴俊, 柏斌, 等. 水稻苗期耐冷性研究进展. 杂交水稻, 2015, 30(3):9-16,28.
[14] 董扬. 240份糜子种质资源萌芽期耐冷性综合评价及筛选. 干旱地区农业研究, 2022, 40(6):23-33.
[15] 沈倩, 张思平, 刘瑞华, 等. 棉花出苗期耐冷综合评价体系的构建及耐冷指标筛选. 中国农业科学, 2022, 55(22):4342-4355.
doi: 10.3864/j.issn.0578-1752.2022.22.002
[16] 田聪颖, 谷岩, 梅楠, 等. 高粱种质资源芽期耐低温综合评价及筛选. 分子植物育种. (2022-08-31)[2024-08-14].http://kns.cnki.net/kcms/detail/46.1068.S.20220831.1049.002.html.
[17] 张玉松, 符明联, 雷永, 等. 372份花生种质资源的耐冷性评价及耐冷种质筛选. 中国油料作物学报, 2023, 45(6):1247-1257.
doi: 10.19802/j.issn.1007-9084.2023130
[18] 金铭路, 杨春刚, 余腾琼, 等. 中国水稻微核心种质不同生育时期耐冷性鉴定及其相关分析. 植物遗传资源学报, 2009, 10(4):540-546.
[19] 宋佳. 粳稻萌发期耐冷性鉴定及全基因组关联分析. 哈尔滨:东北农业大学, 2020.
[20] 黄贺, 闫蕾, 吕艳, 等. 甘蓝型油菜发芽期低温耐性的评价与材料筛选. 中国油料作物学报, 2019, 41(5):723-734.
doi: 10.19802/j.issn.1007-9084.2019034
[21] 武辉, 侯丽丽, 周艳飞, 等. 不同棉花基因型幼苗耐寒性分析及其鉴定指标筛选. 中国农业科学, 2012, 45(9):1703-1713.
doi: 10.3864/j.issn.0578-1752.2012.09.005
[22] 郭丽颖, 耿艳秋, 金峰, 等. 寒地水稻低温冷害防御栽培技术研究进展. 作物杂志, 2017(4):7-14.
[23] 张耀元, 胡星晨, 孙冬, 等. 江苏省直播稻种植主要问题与对策——基于“农技耘”APP问答数据的调查研究. 中国稻米, 2024, 30(3):78-83.
doi: 10.3969/j.issn.1006-8082.2024.03.013
[24] 陈雪飞, 唐艳萍, 谢英杰, 等. 我国机械化直播水稻生产技术研究进展. 中国稻米, 2018, 24(4):9-15.
doi: 10.3969/j.issn.1006-8082.2018.04.003
[25] Tu D B, Jiang Y, Liu M, et al. Improvement and stabilization of rice production by delaying sowing date in irrigated rice system in central China. Journal of the Science of Food and Agriculture, 2020, 100(2):595-606.
doi: 10.1002/jsfa.10053 pmid: 31591721
[26] 刘雪梅, 尚庆茂, 张志刚. 辣椒不同品种种子萌芽期耐低温性及评价方法研究. 中国生态农业学报, 2010, 18(3):521-527.
[27] 乔永利, 韩龙植, 安永平, 等. 水稻芽期耐冷性QTL的分子定位. 中国农业科学, 2005, 38(2):217-221.
[28] 武兆云, 郭娜, 赵晋铭, 等. 大豆苗期耐低磷主成分及隶属函数分析. 大豆科学, 2012, 31(1):42-46.
[29] 刘海卿, 孙万仓, 刘自刚, 等. 北方寒旱区白菜型冬油菜抗寒性与抗旱性评价及其关系. 中国农业科学, 2015, 48(18):3743-3756.
doi: 10.3864/j.issn.0578-1752.2015.18.018
[30] 耿雷跃, 马小定, 崔迪, 等. 水稻全生育期耐盐性鉴定评价方法研究. 植物遗传资源学报, 2019, 20(2):267-275.
doi: 10.13430/j.cnki.jpgr.20180815003
[31] 马帅国, 田蓉蓉, 胡慧, 等. 粳稻种质资源苗期耐盐性综合评价与筛选. 植物遗传资源学报, 2020, 21(5):1089-1101.
doi: 10.13430/j.cnki.jpgr.20200115001
[32] 郭胜微, 边思文, 丁建文, 等. 糯玉米萌发期耐低温品种资源的综合评价. 中国农业科技导报, 2023, 25(2):38-47.
doi: 10.13304/j.nykjdb.2022.0550
[33] 李晓菲, 高华伟, 广慧, 等. 大豆种质资源萌发期耐莠去津鉴定评价及优异种质筛选. 作物学报, 2024, 50(7):1699-1709.
doi: 10.3724/SP.J.1006.2024.34198
[1] Yu Qiuzhu, Qiu Junhua, Du Hanmei, Wang Anhu. Comprehensive Evaluation of Growth, Development, and Selenium Response Characteristics in Different Tartary Buckwheat Germplasm Resources [J]. Crops, 2026, 42(1): 72-84.
[2] Yu Huaxian, An Rudong, Tao Lianan, Lang Rongbin, Bian Xin, Zhang Yu, Liu Xinlong, Liu Jiayong, Zhao Liping, Liu Hongbo, Zhang Gemin, Zhang Baoqing. Comprehensive Evaluation of Reciprocal Cross Hybrids between 57NG208 and Nanjian Chewing Cane Based on Agronomic Traits [J]. Crops, 2026, 42(1): 94-103.
[3] Chen Lei, Tang Maoyan, Zhang Zhanying, Zhong Xiaoyuan, Gao Guoqing, Zhang Xiaoli, Liang Tianfeng, Pan Yinghua. Analysis and Evaluation of Grain Appearance Quality Traits in Rice Germplasm Resources under Heat Stress during Flowering Stage [J]. Crops, 2025, 41(6): 132-139.
[4] Sun Qiang, Ruan Xinsen, Zhou Zhihao, Sun Huijuan, Xu Ran, Ling Dong, Zhao Cuirong. Analysis of Genetic Diversity of Phenotypic Traits in Different Rice Varieties [J]. Crops, 2025, 41(6): 28-36.
[5] Chen Yi, Chen Xiao, Zhang Maoxing, Li Jing, Chang Jingjing, Li Jiawei, Lin Haiqing, Chen Xingping, Deng Xiaoliang, Xie Dasen, Guo Shaolong, Shen Zhongdeng, Zhang Baige. Response of Different Wax Gourd Varieties to Low-Salt Stress and Comprehensive Evaluation of Their Salt Tolerance [J]. Crops, 2025, 41(6): 58-66.
[6] Zhou Tingfang, Li Ran, Liu Qianqian, Zhang Ze, Wang Zhenhua, Ma Baoxin, Lu Ming, Zhang Lin, Han Yehui, Yang Bo, Li Mingshun, Zhang Degui, Weng Jianfeng, Yong Hongjun, Xu Jingyu, Han Jienan, Li Xinhai. Analysis of Salt Tolerance at Germination Stage of 118 Maize Hybrids in Northeast China [J]. Crops, 2025, 41(5): 1-10.
[7] Wang Liang, Wang Rui, Zhu Jincheng, Sang Yuwei, Shi Biao, Guo Jiashuai, Jiao Huimin, He Zongling, Shui Yong. Analysis of Salt Tolerance in 50 Peanut Varieties (Lines) at Seedling Stage [J]. Crops, 2025, 41(5): 35-41.
[8] Yin Junhua, Deng Li, Guo Minjie, Miao Jianli, Hu Junping, Li Shaowei, Ren Li. Comprehensive Evaluation of Small-Seeded Peanut Varieties Based on BLUP Values and GGE Biplot [J]. Crops, 2025, 41(4): 118-125.
[9] Chen Minghui, Xu Yu, Huang Zhiqiang, Wang Junqing, Zhang Baoqing. Analysis of the Transcriptome and Jasmonic Acid Signal Transduction in Chewing Cane Leaves under Cold Stress [J]. Crops, 2025, 41(4): 95-103.
[10] Zhang Zhengjie, Yang Guohua, Guo Ruihong, Cheng Kaihua, Mi Xingwang, Liu Fei. Comprehensive Evaluation of Regional Trials for the Spring Maize in Northwest China Based on DTOPSIS Method and Membership Function Method [J]. Crops, 2025, 41(3): 78-84.
[11] Zhao Fuyang, Ma Bo, Hu Jifang, Tan Kefei, Liu Chuanzeng, Yan Feng, Dong Yang, Hou Xiaomin, Li Qingquan, Han Yehui. Evaluation of Photoperiod Sensitivity of Japonica Rice in Cold Regions under Different Photoperiod Conditions [J]. Crops, 2025, 41(2): 135-140.
[12] Lu Jing, Yu Bo, Jiang Mi, Peng Lianxin, Ren Yuanhang, Wu Qi. Assessment of Genetic Diversity in 58 Germplasm Resources of Highland Barley [J]. Crops, 2025, 41(2): 20-28.
[13] Shi Huiying, Fan Baojie, Liu Changyou, Wang Yan, Wang Shen, Zhang Zhixiao, Su Qiuzhu, Tian Jing. Identification and Evaluation of Salt Tolerance of Mung Bean Germplasm Resources during Germination [J]. Crops, 2025, 41(1): 66-75.
[14] Zhang Ying, Wang Haiyang, Jiang Lin, Guo Xueqing, Zhong Xiaoli, Zhang Xing, Lu Minjiao, Ji Xiaoming, Yang Xiaopeng, Wu Shusong. Comprehensive Evaluation and Spatial Distribution of Soil Fertility Suitability in Changting Tobacco-Growing Area [J]. Crops, 2024, 40(6): 171-178.
[15] Li Hongliang, Sun Yuyou, Wei Caiqiang, Liu Dan, Xie Zhong, Cheng Dujuan, Qu Jinling, Song Ze, Meng Xianghai, Zhao Yuntong, Shi Xinrui. Effects of Controlled Irrigation and Fertilization on Growth, Yield and Quality of Japonica Rice in Cold Region [J]. Crops, 2024, 40(5): 152-158.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!