数字农科院2.0

Development of rice water-saving and drought resistance quantitative evaluation system of wide water ecological range based on quantitative gradient water control

文献类型： 外文期刊

作者： Kang, Haiqi;Hassan, Muhammad Ahmad;Kang, Jiarong;Luo, Yuehua;Zhang, Hong;Zeng, Yongxuan;Fu, Guanfu;Qin, Rongmin;Xu, Deze;Wang, Shimei

作者机构：

关键词： Oryza sativa;drought resistance;water ecological range;water use efficiency;quantitative evaluation;complex drought resistance index

期刊名称： FRONTIERS IN PLANT SCIENCE

ISSN： 1664-462X

年卷期： 2025 年 16 卷

页码：

收录情况： SCIE（2025版）

摘要： The drought resistance of rice is an indirect observational and complex trait whose phenotype is reflected in the response of directly observational traits to drought stress. To objectively and accurately evaluate the drought resistance of rice, soil moisture gradient quantification was designed as a general water index among different soil types. Through soil water control, water consumption calculation, yield test, trait examination, and statistical analysis, the relationship between quantitative water control treatment and rice yield drought resistance was studied to establish a quantitative and controllable evaluation system of rice drought resistance. Four kinds of gradients, namely, 100%, 80%, 60%, and 40% field moisture capacity, were designed in the experiment. Six tested rice varieties grew under the long-term water control treatment. Six varieties grew under four levels of field moisture capacity from transplanting and returning to green to maturity. The calculation of actual field moisture shows that the four design levels formed a significant gradient and reached a very significant difference. The gradient and quantitative water control (GQWC) significantly influenced tiller formation, grain yield, yield component traits, and water use efficiency. Under the designed GQWC treatment, the difference in yield drought resistance of tested rice varieties is reflected under wide water ecological amplitude. There was a significant difference between varieties and traits, and the relationship between traits and varieties was very significantly different under different GQWC levels. The differences in drought resistance among varieties differ due to various water gradients and direct observational traits. It is difficult to evaluate drought resistance accurately with a single gradient. Considering yield components and water use efficiency, it is the best choice for a comprehensive index with multi-gradient yield drought resistance. Based on the index mapping of gradient drought resistance and area calculations, 28 evaluation indices of drought resistance were calculated in parallel, and six indices with better evaluation effect were screened to solve the optimal comprehensive index, namely, the sum of drought resistance index under multi-gradient with multi-traits (MG_MT_DI_SUM), the sum of drought resistance index of yield under multi-gradient (MG_Y_DI_SUM), the product of total area under the curve of drought resistance index under multi-gradient with multi-traits (MG_MT_DI_TAUC_MUL), the drought resistance index of yield under the second gradient (SGII_Y_DI), the comprehensive value of membership function of the total area under the curve of drought resistance index with multi-gradient and multi-traits (MG_MT_DI_SUM), and the logarithm of total area under the curve of drought resistance index with multi-gradient and multi-traits (MG_MT_DI_TAUC_LOG). Among these indices, 100*MG_MT_DI_TAUC_LOG and 5*MG_Y_DI_SUM were the ideal evaluation indices, which could be used as the main indices for the comprehensive evaluation of rice drought resistance under the GQWC test.

分类号：

  • 相关文献

[1]Advances and Developing Tendency of Water Use Efficiency in Plant Biology. Chen Zhao-bo,Chen Zhao-bo,Tang Jiao-wen,Zhang Fu. 2009

[2]Guard cell and whole plant expression of AtTOR improves performance under drought and enhances water use efficiency. Li Liu,Peng Gao,Huajin Sheng,Achala Bakshi,David Schneider,Daoquan Xiang,Vivijan Babic,Maozhi Ren,Connor Burbridge,Hanh Nguyen,Sheng Wang,Alma Armenta-Medina,Javier Mora-Macias,Andrew Sharpe,Curtis Pozniak,Jurandir Magalhaes,Raju Datla,Leon Kochian. 2025

[3]Target of Rapamycin (TOR) signaling coordinates a balance between wheat photosynthetic performance and transpirational water conservation for improved water use efficiency and performance under drought. Huajin Sheng,Peng Gao,Li Liu,Sheng Wang,Achala Bakshi,Zhigang Liu,Hanh Nguyen,Li Xi,Tongfei Qin,Daoquan Xiang,Vivijan Babic,Rui Wen,Teagen D. Quilichini,Maozhi Ren,Raju Datla,Leon Kochian. 2025

[4]Influence of the system of rice intensification on rice yield and nitrogen and water use efficiency with different N application rates. Zhao, Limei,Wu, Lianghuan,Lu, Xinghua,Zhao, Limei,Li, Yongshan,Zhu, Defeng,Uphoff, Norman.

[5]ASSOCIATION OF QUANTITATIVE TRAIT LOCI FOR PLANT HEIGHT WITH MAJOR DWARFING GENES IN RICE. Huang, N,Courtois, B,Khush, GS,Lin, HX,Wang, GL,Wu, P,Zheng, KL.

[6]Bi-Directional Selection In Upland Rice L.eads To Its Adaptive D ifferentiation From Lowland Rice In Drought Resistance And Productivity. Xiong, Jie,Xiong, Jie,Lou, Qiaojun,Fan, Longjiang,Wei, Haibin,Xia, Hui,Yang, Hua,Qiu, Jie,Fan, Longjiang,Luo, Lijun,Luo, Zhi,Liu, Guolan,Luo, Lijun,Chen, Liang,Qiu, Jie,Ma, Xiaosong,Luo, Zhi. 2019

[7]Analysis of global gene expression profiles in tobacco roots under drought stress. Pan, Guangtang,Yin, Fuqiang,Liu, Ming,Zhang, Wenyou,Qin, Cheng,Shen, Yaou,Lin, Haijian,Zhang, Zhiming,Yang, Aiguo,Luo, Chenggang,Liu, Haobao,Gao, Jian,Gao, Jian,Gao, Jian. 2015

[8]Large-scale screening for maize drought resistance using multiple selection criteria evaluated under water-stressed and well-watered environments. Hao, Zhuanfang,Xie, Chuanxiao,Li, Xinhai,Zhang, Shihuang,Lu, Yanli,Crossa, Jose,Araus, Jose-Luis,Taba, Suketoshi,Xu, Yunbi,Lu, Yanli,Gao, Shibin,Pan, Guangtang,Rong, Tingzhao,Vivek, Bindiganavile S.,Magorokosho, Cosmos,Mugo, Stephen,Makumbi, Dan,Xu, Yunbi.

[9]Comparative LD mapping using single SNPs and haplotypes identifies QTL for plant height and biomass as secondary traits of drought tolerance in maize. Lu, Yanli,Xu, Jie,Yuan, Zhimin,Lan, Hai,Rong, Tingzhao,Lu, Yanli,Xu, Yunbi,Xu, Yunbi,Shah, Trushar.

[10]Joint linkage-linkage disequilibrium mapping is a powerful approach to detecting quantitative trait loci underlying drought tolerance in maize. Lu, Yanli,Shah, Trushar,Farkhari, Mohammad,Xu, Yunbi,Lu, Yanli,Cao, Moju,Rong, Tingzhao,Xu, Yunbi,Farkhari, Mohammad,Ribaut, Jean-Marcel.

[11]Mapping QTLs for seedling root traits in a doubled haploid wheat population under different water regimes. Liu, Xiulin,Chang, Xiaoping,Jing, Ruilian,Liu, Xiulin,Li, Runzhi.

[12]Identification of two functional markers associated with drought resistance in maize. Liu, Sisi,Hao, Zhuanfang,Weng, Jianfeng,Li, Mingshun,Zhang, Degui,Zhang, Shihuang,Li, Xinhai,Liu, Sisi,Pan, Guangtang.

[13]A proposed selection criterion for drought resistance across multiple environments in maize. Hao, Zhuan-Fang,Li, Xin-Hai,Su, Zhi-Jun,Xie, Chuan-Xiao,Li, Ming-Shun,Weng, Jian-Feng,Zhang, De-Gui,Li, Liang,Zhang, Shi-Huang,Liang, Xiao-Ling,Li, Liang.

[14]The ethylene response factor OsERF109 negatively affects ethylene biosynthesis and drought tolerance in rice. Yu, Yanwen,Gu, Juntao,Wang, Fengru,Dong, Jingao,Yu, Yanwen,Yang, Dexin,Zhou, Shirong,Huang, Rongfeng,Huang, Rongfeng.

[15]Genetic analysis and QTL mapping of maize yield and associate agronomic traits under semi-arid land condition. Guo, Jiufeng,Zhang, Jinpeng,Wang, Guoying,Wang, Guoying,Guo, Jiufeng,Su, Guoqin. 2008

[16]Genome-Wide Identification of the HD-ZIP III Subfamily in Upland Cotton Reveals the Involvement of GhHB8-5D in the Biosynthesis of Secondary Wall in Fiber and Drought Resistance. Jie Zhang,Yanan Gao,Mengru Feng,Yuke Cui,Shuaijie Li,Le Liu,Ye Wang,Wenliang Xu,Fuguang Li. 2022

[17]Genome wide identification of GDSL gene family explores a novel GhirGDSL26 gene enhancing drought stress tolerance in cotton. Jiajun Liu,Jiangna Liu,Heng Wang,Aziz Khan,Yanchao Xu,Yuqing Hou,Yuhong Wang,Zhongli Zhou,Jie Zheng,Fang Liu,Xiaoyan Cai. 2023

[18]Effects of Different Drought Degrees on Physiological Characteristics and Endogenous Hormones of Soybean. Zhou, Qi,Li, Yongping,Wang, Xiaojing,Yan, Chao,Ma, Chunmei,Liu, Jun,Dong, Shoukun. 2022

[19]AP2/ERF transcription factor GmDREB1 confers drought tolerance in transgenic soybean by interacting with GmERFs. Kai Chen,Wensi Tang,Yongbin Zhou,Jun Chen,Zhaoshi Xu,Rui Ma,Yingshan Dong,Youzhi Ma,Ming Chen. 2022

[20]Genome-Wide Identification of the SAMS Gene Family in Upland Cotton (Gossypium hirsutum L.) and Expression Analysis in Drought Stress Treatments. Fenglei Sun,Jun Ma,Penglong Wang,Yanlong Yang. 2022

作者其他论文 更多>>