Principal Component Analysis and Comprehensive Evaluation of Saline-Alkaline Tolerance Related Traits of Northern Japonica Rice

doi:10.11869/j.issn.100-8551.2020.08.1862

Journal of Nuclear Agricultural Sciences ›› 2020, Vol. 34 ›› Issue (8): 1862-1871.DOI: 10.11869/j.issn.100-8551.2020.08.1862

• Isotope Tracer Technique·Ecology & Environment·Physiology • Previous Articles

Principal Component Analysis and Comprehensive Evaluation of Saline-Alkaline Tolerance Related Traits of Northern Japonica Rice

LI Hongyu^1,*, LI Yi¹, SI Yang², DU Chunying³, ZHOU Xuesong¹, LIU Menghong¹, NING Hongyu¹, YE Piaopiao¹

1 Agricultural College, Heilongjiang Bayi Agricultural University/Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319;
2 Heilongjiang 856 Farm, Hulin, Heilongjiang 158400;
3 The Bureau of Agriculture at Saertu Region, Daqing, Heilongjiang 163319

Received:2019-02-25 Revised:2019-07-19 Online:2020-08-10 Published:2020-06-16

北方粳稻耐盐碱相关性状主成分分析及综合评价

李红宇^1,*, 李逸¹, 司洋², 杜春颖³, 周雪松¹, 刘梦红¹, 宁洪钰¹, 叶飘飘¹

1 黑龙江八一农垦大学农学院/黑龙江省现代农业栽培技术与作物种质改良重点实验室,黑龙江大庆 163319;
2 黑龙江省八五六农场,黑龙江虎林 158400;
3 大庆市萨尔图区农业局,黑龙江大庆 163319

通讯作者: ^*同第一作者。
作者简介:李红宇,男,副教授,主要从事水稻高产生理生态及遗传多样性方面研究。E-mail:ndrice@163.com
基金资助:
国家重点研发计划项目(2017YFD0100506),黑龙江农垦总局试验示范项目(HNK135-02-02)

Abstract

Abstract: In order to screen rice germplasm resources suitable for planting in soda-saline-alkaline area, we established a comprehensive evaluation system of saline-alkaline tolerance related traits of northern japonica rice was established. In this study, 28 phenotypic indices of 50 northern japonica rice were determined under saline-alkaline stress. Taking saline-alkaline tolerance coefficient of each index as the basis, utilizing correlation analysis, principal component analysis and cluster analysis comprehensively evaluated the saline-alkaline resistance. By using principal component analysis, 28 single indexes could be transformed into eight independent comprehensive indexes, and the cumulative contribution rate was up to 80.665%. According to comprehensive evaluation of saline-alkaline tolerance, 50 rice germplasm resources could be clustered into four groups of strong, resistance, middle and sensitive saline-alkaline types. Among them, strong saline-alkaline tolerant varieties contains Song 98-131, SR-824-14, and Changbai 9. The D values were 0.68, 0.63, and 0.61, respectively. Regressive and correlation analysis demonstrated that seed setting rate, yield, biomass, economic coefficient, root diameter, leaf area, dry matter accumulation had significant effects on saline-alkaline resistance, which could be used as comprehensive evaluation of rice saline-alkaline tolerance. These results provide technical and germplasm resources support for saline-alkali resistant rice breeding.

Key words: northern japonica rice, saline-alkaline tolerance, principal component analysis, cluster analysis, comprehensive evaluation

摘要： 为建立北方粳稻耐盐碱综合评价指标体系,筛选适宜苏打盐碱地种植的水稻种质资源,本研究采用混合盐碱胁迫处理,测定了50份北方粳稻材料的28项表型指标,以各单项指标耐盐碱系数作为评价水稻耐盐碱性依据,利用相关分析、主成分分析及聚类分析方法综合评价其耐盐碱相关性。结果表明,利用主成分分析将盐碱胁迫下28个单项指标转化为8个相互独立的综合指标,累积贡献率达80.665%。依据参试材料耐盐碱综合评价值进行聚类分析,将50个参试材料划分强耐盐碱型、耐盐碱型、中间型和盐碱敏感型四类。强耐盐碱类型包括松98-131、SR-824-14、长白9号3个材料,D值分别为0.68、0.63、0.61。回归分析和相关分析表明,结实率、产量、生物量、经济系数、根直径、分蘖期叶面积和齐穗期干物重对耐盐碱性影响显著,可作为水稻耐盐碱鉴定的综合指标。本研究结果为水稻耐盐碱育种提供了技术和种质资源支撑。

关键词: 北方粳稻, 耐盐碱, 主成分分析, 聚类分析, 综合评价

LI Hongyu, LI Yi, SI Yang, DU Chunying, ZHOU Xuesong, LIU Menghong, NING Hongyu, YE Piaopiao. Principal Component Analysis and Comprehensive Evaluation of Saline-Alkaline Tolerance Related Traits of Northern Japonica Rice[J]. Journal of Nuclear Agricultural Sciences, 2020, 34(8): 1862-1871.

李红宇, 李逸, 司洋, 杜春颖, 周雪松, 刘梦红, 宁洪钰, 叶飘飘. 北方粳稻耐盐碱相关性状主成分分析及综合评价[J]. 核农学报, 2020, 34(8): 1862-1871.

References

[1] 李明, 张俊华. 不同施肥模式对盐碱化稻作土壤细菌群落的影响[J]. 干旱地区农业研究, 2018, 36(5): 142-148
[2] 杨帆, 王志春, 马红媛, 杨福, 田春杰, 安丰华. 东北苏打盐碱地生态治理关键技术研发与集成示范[J]. 生态学报, 2016, 36(22):7054-7058
[3] 韩贵清,周连仁. 黑龙江盐渍土改良与利[M]. 北京:中国农业出版社, 2011
[4] 孟丽君, 林秀云, 崔彦茹, 陈凯, 孙勇, 朱苓华, 徐建龙, 黎志康. 利用高代回交导入群体进行水稻耐盐碱鉴定与筛选[J]. 分子植物育种, 2010, 8(6):1142-1150
[5] 潘世驹, 李红宇, 姜玉伟, 郑桂萍, 赵婷婷, 黄成亮, 吕艳东, 宋泽, 马艳, 王德斌.寒地水稻幼苗期耐碱种质资源筛选[J].四川农业大学学报, 2016, 34(2):137-141
[6] 冯钟慧, 刘晓龙, 姜昌杰, 梁正伟. 吉林省粳稻种质萌发期耐碱性和耐盐性综合评价[J]. 土壤与作物, 2016, 5(2): 120-127
[7] Xie J H, Zapata-Arias F J, Shen M, Afza R. Salinity tolerant performance and genetic diversity of four rice varieties[J]. Euphytica, 2000, 116(2): 105-110
[8] 周根友, 汪娟, 赵祥强. 大田评价水稻耐盐碱性的农艺性状指标研究[J]. 华北农学报, 2017, 32(S1): 102-107
[9] 潘世驹, 李红宇, 姜玉伟, 郑桂萍, 周健, 赵婷婷, 王龙, 吕艳东, 阚宝林. 寒地水稻幼苗期耐盐资源筛选[J]. 南方农业学报, 2015, 46(10):1775-1779
[10] 杨圣, 黄菲, 胡晓晨, 秦巧, 黄立钰, 王文生, 傅彬英. 盐及ABA对水稻MYB转录因子基因表达的影响[J]. 中国农业科技导报, 2015, 17(4):15-22
[11] 柴立涛, 耿玉辉, 宋引弟, 卯发菊, 秦爽, 乔涣. 施磷对吉林省西部盐碱土水田土壤无机磷组分的影响[J]. 水土保持学报, 2015, 29(6):197-201
[12] Oo A N, Iwai C B, Saenjan P.Soil properties and maize growth in saline and non-saline soils using cassava-industrial waste compost and vermicompost with or without earthworms[J]. Land Degradation and Development, 2015, 26(3): 300-310
[13] 戴海芳, 武辉, 阿曼古丽·买买提阿力, 王立红, 麦麦提·阿皮孜, 张巨松. 不同基因型棉花苗期耐盐性分析及其鉴定指标筛选[J]. 中国农业科学, 2014, 47(7): 1290-1300
[14] 田蕾, 陈亚萍, 刘俊, 马晓刚, 王娜, 杨兵, 李莹, 郭海东, 李娟, 胡慧, 张银霞, 李培富. 粳稻种质资源芽期耐盐性综合评价与筛选[J]. 中国水稻科学, 2017, 31(6):631-642
[15] 祁栋灵, 郭桂珍, 李明哲, 杨春刚, 张俊国, 曹桂兰, 张三元, 徐锡哲, 周庆阳, 韩龙植. 碱胁迫下粳稻幼苗前期耐碱性的数量性状基因座检测[J]. 作物学报, 2009, 35(2): 301-308
[16] 梁银培, 孙健, 索艺宁, 刘化龙, 王敬国, 郑洪亮, 孙晓雪, 邹德堂. 水稻耐盐性和耐碱性相关性状的QTL定位及环境互作分析[J]. 中国农业科学, 2017, 50(10): 1747-1762
[17] 赵兰坡, 王宇, 冯君. 松嫩平原盐碱地改良利用——理论与技术[M]. 北京: 科学出版社, 2013
[18] Curtin D.Soil solution composition as affected by liming and incubation[J]. Soil Science Society of America Journal, 1983, 47(4): 701-707
[19] 谢忠雷, 杨佰玲, 包国章, 董德明. 茶园土壤锌的形态分布及其影响因素[J]. 农业环境科学学报, 2006, 25(S1): 32-36
[20] Gimhanilm D, Gregorio G, Kottearachchi N, Samarasinghe W.SNP-based discovery of salinity-tolerant QTLs in a bi-parental population of rice (Oryza sativa)[J]. Molecular Genetic and Genomics, 2016, 291(6): 2081-2099
[21] Krishnamurthy S L, Sharma P C, Sharma D K, Ravikiran K T, Singh Y P, Mishra Ⅴ K, Burman D, Maji B, Mandal S, Sarangi S K, Gautam R K, Singh P K, Manohara K K, Marandi B C, Padmavathi G, Vanve P B, Patil K D, Thirumeni S, Verma O P, Khan A H, Tiwari S, Geetha S, Shakila M, Gill R, Yadav Ⅴ K, Roy S K B, Prakash M, Bonifacio J, Ismail A, Gregorio G B, Singh R K. Identification of mega environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India[J]. Scientific Reports, 2017, 7(1): 1-14
[22] 邹德堂, 郭微, 孙健, 王敬国, 刘化龙, 郑洪亮, 赵宏伟, 谢冬微. 水稻不同基因型耐盐相关性状主成分分析及综合评价[J]. 东北农业大学学报, 2018, 49(8): 1-9
[23] 袁军伟, 李敏敏, 刘长江, 韩斌, 尹勇刚, 孙艳, 郭紫娟, 赵胜建. NaCl胁迫下葡萄砧木幼苗生长及体内Cl-、Na+、K+的分布动态[J]. 核农学报, 2018, 32(12): 2448-2454
[24] 周广生, 梅方竹, 周竹青, 朱旭彤. 小麦不同品种耐湿性牛理指标综合评价及其预测. 中国农业科学, 2003, 36(11): 1378-1382
[25] 徐晨, 凌风楼, 徐克章, 武志海, 刘晓龙, 安久海, 赵兰坡. 盐胁迫对不同水稻品种光合特性和生理生化特性的影响[J]. 中国水稻科学, 2013, 27(3): 280-286
[26] 王秋菊, 李明贤, 赵宏亮, 王贵森. 黑龙江省水稻种质资源耐盐碱筛选与评价[J]. 作物杂志, 2012(4): 116-120
[27] 李红宇, 潘世驹, 钱永德, 马艳, 司洋, 高尚, 郑桂萍, 姜玉伟, 周健. 混合盐碱胁迫对寒地水稻产量和品质的影响[J]. 南方农业学报, 2015, 46(12): 2100-2105

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创刊：1987年
主管部门：农业农村部
主办单位：中国原子能农学会与中国农业科学院农产品加工研究所（前中国农业科学院原子能利用研究所）
ISSN：1000-8551

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Principal Component Analysis and Comprehensive Evaluation of Saline-Alkaline Tolerance Related Traits of Northern Japonica Rice

北方粳稻耐盐碱相关性状主成分分析及综合评价

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