基于稻瘟病的水稻抗逆性对CO2浓度和温度升高的响应

doi:10.13287/j.1001-9332.202306.014

摘要/Abstract

摘要： 水稻抗逆性是水稻对各种胁迫的抵御能力,其变化对水稻产量安全具有重要影响,但有关其对大气CO₂浓度和温度升高的响应尚不清楚。本研究依托开顶式气室组成的CO₂浓度和温度自动调控平台,以南粳9108和金香玉1号2个水稻品种为试验材料,设置背景大气CO₂浓度和气温(CK,对照)、CO₂浓度升高(C,CO₂浓度比CK升高200 μmol·mol^-1,气温不变)、温度升高(T,气温比CK升高2 ℃,CO₂浓度不变)、CO₂浓度和温度共同升高(CT,CO₂浓度比CK升高200 μmol·mol^-1,气温比CK升高2 ℃)4种处理,在水稻关键生育期剪取植株最上部功能叶,测定超氧化物歧化酶活性、硅、总黄烷醇、丙二醛、可溶性糖、脯氨酸和可溶性蛋白质含量,并采用主成分分析法分析不同处理下抗逆性指标组成差异,筛选整合得到水稻抗逆性指数(RSRI),以评估水稻抗逆性。从水稻抗病性角度,在水稻成熟期统计穗颈瘟病情验证RSRI对水稻抗逆性的表达程度。结果表明: 在水稻拔节-孕穗期,与CK相比,C和CT处理使金香玉1号的RSRI分别显著降低36.5%和41.1%;T处理使两个品种的RSRI分别显著降低44.9%和33.8%。RSRI能解释穗颈瘟病情71.9%～74.3%的变异。综上,温度升高对两个水稻品种拔节-孕穗期的抗逆性均有不利影响,且CO₂浓度与温度升高对水稻抗逆性有一定交互作用;与南粳9108相比,金香玉1号抗逆性更易受到CO₂浓度升高的影响。

关键词: CO₂浓度, 温度, 水稻, 抗逆性指数, 稻瘟病

Abstract: Rice (Oryza sativa) resistance is its ability to resist various stresses, the changes of which have important impacts on O. sativa yield security. However, the responses of O. sativa stress resistance to elevated atmospheric CO₂ concentration and temperature are poorly understood. We conducted a field open top-chamber experiment with O. sativa (Nanjing 9108 and Jinxiangyu I) based on the CO₂ and temperature automatic control platform. The experimental treatments included ambient CO₂ concentration and temperature treatment (CK, control), elevated CO₂ concentration treatment (C, CO₂ concentration increase of 200 μmol·mol^-1 above CK), elevated temperature treatment (T, temperature increase of 2 ℃ above CK) and elevated CO₂ concentration and temperature (CT, CO₂ concentration increase of 200 μmol·mol^-1 and temperature increase of 2 ℃ above CK). At the critical growth stages of O. sativa, we measured superoxide dismutase activity, silica content, total flavanol content, malondialdehyde content, soluble sugar content, proline content, and soluble protein content by cutting the uppermost functional leaves. We obtained the rice stress resistance index (RSRI) by principal component analysis to analyze the differences in the composition of stress resistance indicators under different treatments. Considering the disease resistance of O. sativa, the spike neck blast disease was counted to verify the expression level of RSRI for O. sativa stress resistance at maturity stage. Results showed that at the elongation-booting stage, C and CT treatments significantly reduced the RSRI of Jinxiangyu I by 36.5% and 41.1%, respectively, compared with CK. T treatment significantly decreased the RSRI of the two varieties by 44.9% and 33.8%, respectively. The RSRI explained 71.9%-74.3% of the variation in the spike neck blast disease. Overall, the stress resistance of two O. sativa varieties were adversely affected by elevated temperature at the elongation-booting stage. There was an interactive effect of CO₂ concentration and temperature on O. sativa stress resistance. Compared with Nanjing 9108, the stress resistance of Jinxiangyu I was more sensitive to elevated CO₂ concentration.

Key words: CO₂ concentration, temperature, Oryza sativa, stress resistance index, Oryza sativa blast

韦兆伟, 陈若谷, 殷楠, 柯浩楠, 沙雅晴, 赵峻池, 李琪, 胡正华. 基于稻瘟病的水稻抗逆性对CO₂浓度和温度升高的响应[J]. 应用生态学报, 2023, 34(6): 1563-1571.

WEI Zhaowei, CHEN Ruogu, YIN Nan, KE Haonan, SHA Yaqing, ZHAO Junchi, LI Qi, HU Zhenghua. Response of rice resistance based on the validation of rice blast to elevated CO₂ concentration and temperature[J]. Chinese Journal of Applied Ecology, 2023, 34(6): 1563-1571.

参考文献

[1] WMO. Greenhouse Gas Bulletin: The State of Greenhouse Gases in the Atmosphere Based on Global Observation through 2017. Tokyo: The World Data Centre for Greenhouse Gases, 2018
[2] IPCC. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 2013
[3] IPCC. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 2021
[4] 丁一汇, 任国玉, 石广玉, 等. 气候变化国家评估报告(Ⅰ): 中国气候变化的历史和未来趋势. 气候变化研究进展, 2006, 2(1): 3-8
[5] Porter JR, Xie L, Challinor AJ, et al. Climate Change 2014: Impacts, Adaptation and Vulnerability. Chapter 7: Food Security and Food Production Systems. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 2014: 485-533
[6] 凌霄霞, 张作林, 翟景秋, 等. 气候变化对中国水稻生产的影响研究进展. 作物学报, 2019, 45(3): 323-334
[7] FAO. FAOSTAT Food and Agriculture Data[EB/OL]. (2021-12-12)[2023-03-24]. http://www.fao.org/faostat/zh/#data/QC
[8] Seck PA, Diagne A, Mohanty S, et al. Crops that feed the world 7: Rice. Food Security, 2012, 4: 7-24
[9] Kobayashi T, Ishiguro K, Nakajima T, et al. Effects of elevated atmospheric CO₂ concentration on the infection of rice blast and sheath blight. Phytopathology, 2006, 96: 425-431
[10] Kumar A, Nayak AK, Sah RP, et al. Effects of elevated CO₂ concentration on water productivity and antioxidant enzyme activities of rice (Oryza sativa L.) under water deficit stress. Field Crops Research, 2017, 212: 61-72
[11] Glaubitz U, Erban A, Kopka J, et al. High night temperature strongly impacts TCA cycle, amino acid and polyamine biosynthetic pathways in rice in a sensitivity-dependent manner. Journal of Experimental Botany, 2015, 66: 6385-6397
[12] 张桂莲, 廖斌, 汤平, 等. 灌浆结实期高温对水稻剑叶生理特性和稻米品质的影响. 中国农业气象, 2014, 35(6): 650-655
[13] 傅聿青, 贾漫丽, 王军, 等. NaCl胁迫下2个桑树品种的脯氨酸、可溶性糖、可溶性蛋白含量变化研究. 林业与生态科学, 2018, 33(3): 306-310
[14] Vaughan MM, Huffaker A, Schmelz EA, et al. Effects of elevated[CO₂] on maize defence against mycotoxigenic Fusarium verticillioides. Plant, Cell and Environment, 2014, 37: 2691-2706
[15] Mina U, Kumar R, Gogoi R, et al. Effect of elevated temperature and carbon dioxide on maize genotypes health index. Ecological Indicators, 2019, 105: 292-302
[16] 贾雨薇, 杨瑞林, 张洋, 等. 一种优化的测定水稻硅含量的方法. 植物学报, 2016, 51(5): 679-683
[17] Giannopolitis CN, Ries SK. Superoxide dismutases. II. Purification and quantitative relationship with water-soluble protein in seedlings. Plant Physiology, 1977, 59: 315-318
[18] Li YG, Tanner G, Larkin P. The DMACA-HCl protocol and the threshold proanthocyanidin content for bloat safety in forage legumes. Journal of the Science of Food and Agriculture, 1996, 70: 89-101
[19] 陈刚, 李胜. 植物生理学实验. 北京: 高等教育出版社, 2016: 36-61
[20] 国家气象局. 农业气象观测规范-作物分册. 北京: 气象出版社, 1993: 33-34
[21] Andrews SS, Mitchell JP, Mancinelli R, et al. On-farm assessment of soil quality in California’s Central Valley. Agronomy Journal, 2002, 94: 12-23
[22] Andrews SS, Carroll CR. Designing a soil quality assessment tool for sustainable agroecosystem management. Ecological Applications, 2001, 11: 1573-1585
[23] Sharma KL, Mandal UK, Srinivas K, et al. Long-term soil management effects on crop yields and soil quality in a dryland Alfisol. Soil and Tillage Research, 2005, 83: 246-259
[24] Banerjee V, Krishnan P, Das B, et al. Crop status index as an indicator of wheat crop growth condition under abiotic stress situations. Field Crops Research, 2015, 181: 16-31
[25] 农业农村部全国农业技术推广服务中心. GB/T 15790—2009 稻瘟病测报调查规范. 北京: 中国标准出版社, 2009: 2-3
[26] Candogan BN, Sincik M, Buyukcangaz H, et al. Yield, quality and crop water stress index relationships for deficit-irrigated soybean[Glycine max (L.) Merr.] in sub-humid climatic conditions. Agricultural Water Management, 2013, 118: 113-121
[27] Kumar N, Shankhdhar SC, Shankhdhar D. Impact of elevated temperature on antioxidant activity and membrane stability in different genotypes of rice (Oryza sativa L.). Indian Journal of Plant Physiology, 2016, 21: 37-43
[28] 王艳, 高鹏, 黄敏, 等. 高温对水稻开花期剑叶抗氧化酶活性及基因表达的影响. 植物科学学报, 2015, 33(3): 355-361
[29] 甄博, 周新国, 陆红飞, 等. 高温与涝交互胁迫对水稻孕穗期生理指标的影响. 灌溉排水学报, 2019, 38(3): 1-7
[30] Liu C, Hu ZH, Yu LF, et al. Responses of photosynthetic characteristics and growth in rice and winter wheat to different elevated CO₂ concentrations. Photosynthetica, 2020, 58: 1130-1140
[31] 王鑫, 王莉, 赵锋, 等. 长期不同施肥方式对江南稻田系统生产力与抗逆性的影响. 生态与农村环境学报, 2011, 27(4): 62-68
[32] 曹娜, 陈小荣, 贺浩华, 等. 抽穗扬花期不同灌水处理对晚稻抵御低温、产量和生理特性的影响. 应用生态学报, 2017, 28(12): 3935-3944
[33] Gória MM, Ghini R, Bettiol W. Elevated atmospheric CO₂ concentration increases rice blast severity. Tropical Plant Pathology, 2013, 38: 253-257
[34] Padhy SR, Nayak S, Dash PK, et al. Elevated carbon dioxide and temperature imparted intrinsic drought tolerance in aerobic rice system through enhanced exopolysaccharide production and rhizospheric activation. Agriculture, Ecosystems and Environment, 2018, 268: 52-60
[35] Zhu CW, Ziska LH, Sakai H, et al. Vulnerability of lodging risk to elevated CO₂ and increased soil temperature differs between rice cultivars. European Journal of Agronomy, 2013, 46: 20-24
[36] Perdomo JA, Conesa MÀ, Medrano H, et al. Effects of long-term individual and combined water and temperature stress on the growth of rice, wheat and maize: Relationship with morphological and physiological acclimation. Physiologia Plantarum, 2015, 155: 149-165
[37] Plessl M, Heller W, Payer HD, et al. Growth parameters and resistance against Drechslera teres of spring barley (Hordeum vulgare L. cv. Scarlett) grown at elevated ozone and carbon dioxide concentrations. Plant Biology, 2005, 7: 694-705

基于稻瘟病的水稻抗逆性对CO₂浓度和温度升高的响应

Response of rice resistance based on the validation of rice blast to elevated CO₂ concentration and temperature

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	吕佳佳, 初征, 李百超, 宫丽娟, 周宝才, 刘丹, 王冬妮, 姜丽霞. 东北地区水稻开花期冷涡型光-温-水复合逆境产量损失评估指标构建 [J]. 应用生态学报, 2024, 35(3): 731-738.
[2]	洪辛茜, 孙涛, 陈利顶. 城市化背景下植被物候动态变化及驱动因素 [J]. 应用生态学报, 2023, 34(9): 2436-2444.
[3]	陈浈雄, 张超, 李全, 宋新章, 施曼. 土壤有机碳分解温度敏感性的影响机制研究进展 [J]. 应用生态学报, 2023, 34(9): 2575-2584.
[4]	冷鹏, 王建青, 谭云燕, 邵亚军, 王丽燕, 施秀珍, 张国友. 大气CO₂和O₃浓度升高对水稻根际土壤胞外酶活性的影响 [J]. 应用生态学报, 2023, 34(8): 2185-2193.
[5]	赵铖钰, 张淑怡, 朱泓恺, 谷璇, 刘敏. 上海地表热环境演变趋势城乡分异及其对城市更新的响应 [J]. 应用生态学报, 2023, 34(7): 1923-1931.
[6]	魏佩瑶, 潘嵩, 彭德良, 张锋, 陈志杰, 张淑莲, 李英梅. 低温胁迫对南方根结线虫存活的影响及在北方温室的应用 [J]. 应用生态学报, 2023, 34(7): 1981-1987.
[7]	王芳, 卢尧舜, 张昭臣, 陈琳, 杨永川, 张宏伟, 王潇然, 舒丽, 商晓凡, 刘鹏程, 杨清培, 张健. 江西官山亚热带森林近地表和土壤温度的海拔梯度变化及其季节动态 [J]. 应用生态学报, 2023, 34(5): 1161-1168.
[8]	田宁, 黄雪梅, 陈龙池, 黄苛, 陶晓. 施石灰对杉木人工林土壤呼吸及其温度敏感性的影响 [J]. 应用生态学报, 2023, 34(5): 1194-1202.
[9]	李君亮, 王士博, 李亚军, 郝兴宇, 宗毓铮, 张东升, 申洁, 史鑫蕊, 李萍. CO₂浓度升高对干旱胁迫下谷子细胞结构和抗逆生理的影响 [J]. 应用生态学报, 2023, 34(5): 1281-1289.
[10]	娄运生, 于玉洁, 刘燕, 杨蕙琳, 周东雪. 施硅对夜间增温下南方水稻生长、产量和品质的影响 [J]. 应用生态学报, 2023, 34(4): 985-992.
[11]	宁川川, 陈悦桂, 柳瑞, 李彤欣, 陈海浪, 田纪辉, 蔡昆争. 减氮配施秸秆生物炭对双季稻产量和硅、氮营养的影响 [J]. 应用生态学报, 2023, 34(4): 993-1001.
[12]	于水, 张晓龙, 刘志娟, 王妍, 沈彦军. 1961—2020年松花江流域极端气候指数的时空变化特征 [J]. 应用生态学报, 2023, 34(4): 1091-1101.
[13]	赵家培, 郭恩亮, 王永芳, 康尧, 顾锡羚. 基于核温度植被干旱指数的内蒙古植被生长季生态干旱监测 [J]. 应用生态学报, 2023, 34(11): 2929-2937.
[14]	张佳彭, 杨继松, 刘玥, 宁凯, 于君宝, 王志康, 王雪宏. 电子受体添加对黄河口湿地土壤厌氧碳矿化温度敏感性的影响 [J]. 应用生态学报, 2023, 34(11): 2985-2992.
[15]	李瑞平, 罗洋, 隋鹏祥, 郑洪兵, 明博, 李少昆, 王浩, 郑金玉. 玉米秸秆不同还田方式对黑土耕层温度影响的短期效应 [J]. 应用生态学报, 2023, 34(10): 2693-2702.