数字农科院2.0

Drought risk assessment for early maize growth in Northeast China based on a reconstructed phenological dataset

文献类型: 外文期刊

作者: Xiaowei Wang;Xiaoyu Li;Lin Ji;Songcai You;Yuqing Shi;Qichun Zhu;Yunsheng Lou

作者机构:

关键词: drought;maize;Northeast China;phenological model

期刊名称: Journal of Agronomy and Crop Science

ISSN: 0931-2250

年卷期: 2024 年 210 卷 2 期

页码:

收录情况: SCIE(2024版)

摘要: Drought is one of the meteorological disasters to which maize is most vulnerable during its seedling stage in Northeast China. The absence of phenological data impedes the precise evaluation of the likelihood of drought during this phase. In response to these issues, this study develops a phenology model and reconstructing the data. Furthermore, it effectively assessed drought risk at the site scale by utilizing drought indicators. Using reconstructed phenological data from 217 sites from 1981 to 2015, we analysed the duration and trends of each phenological period and assessed the spatial and temporal distribution of drought frequency at each growth stage. The study demonstrated that the average date ranges for the sowing, emergence, three-leaf, and seven-leaf stages annually were 115–138 days, 130–151 days, 135–160 days, and 150–180 days, respectively. Additionally, there was a significant trend towards earlier dates in all phenological stages. Our research reveals notable fluctuations in drought frequency during various growth stages of early maize in Northeast China. Particularly, the period from the three-leaf to the seven-leaf stages emerges as the most drought-prone, while the initial emergence to three-leaf stage also shows considerable vulnerability. On average, the frequency of drought events during the critical three- to seven-leaf stage stands at 35%. This average is surpassed in regions like Heilongjiang, northwest Jilin, northern Inner Mongolia, and southwest Liaoning, indicating a heightened risk in these areas. The early maize growth stage drought types are mainly light and moderate drought, with the three-leaf to seven-leaf stage, and Heilongjiang and Inner Mongolia, as the key stages and regions of concern, respectively. Identifying the principal types of drought and their occurrence in distinct regions and growth stages is pivotal for averting and reducing disasters.

分类号:

  • 相关文献

[1]Drought and Waterlogging Status and Dominant Meteorological Factors Affecting Maize (Zea mays L.) in Different Growth and Development Stages in Northeast China. Xiaowei Wang,Xiaoyu Li,Jiatong Gu,Wenqi Shi,Haigen Zhao,Chen Sun,Songcai You. 2023

[2]Spatio-temporal variations and drought of spring maize in Northeast China between 2002 and 2020. Ji, Lin,Wu, Yongfeng,Ma, Juncheng,Song, Chenxi,Zhu, Zhicheng,Zhao, Aiping. 2022

[3]Dynamics of maize grain drying in the high latitude region of Northeast China. Zhen dong CHU,Bo MING,Lu lu LI,Jun XUE,Wan xu ZHANG,Liang yu HOU,Rui zhi XIE,Peng HOU,Ke ru WANG,Shao kun LI. 2022

[4]DissectingthemaizedirectandindirectdefenseresponseagainstAsianCornBorer. 汪海,李圣彦,查象敏,朱莉,黄大昉,郎志宏. 2015

[5]TheDifferentialTranscriptionNetworkbetweenEmbryoandEndospermintheEarlyDevelopingMaizeSeed. XiaoduoLu,DijunChen,DefengShu,ZhaoZhang,WeixuanWang,ChristianKlukas,Ling-lingChen,YunliuFan,MingChen,ChunyiZhang. 2015

[6]Research on Temporal and Spatial Dynamic of Maize Drought Using Remote Sensing: A Case on Shuanghe Farm of Beijing. Jin, Yunxiang,Zhao, Sijian,Sun, Wei,Xu, Lei,Nie, Qian,Zhang, Qiao,Jin, Yunxiang,Zhao, Sijian,Sun, Wei,Xu, Lei,Nie, Qian,Zhang, Qiao. 2016

[7]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.

[8]QTL analysis across multiple environments reveals promising chromosome regions associated with yield-related traits in maize under drought conditions. Xinmin Hu,Guihua Wang,Xuemei Du,Hongwei Zhang,Zhenxiang Xu,Jie Wang,Guo Chen,Bo Wang,Xuhui Li,Xunji Chen,Junjie Fu,Jun Zheng,Jianhua Wang,Riliang Gu,Guoying Wang. 2021

[9]Coronatine modulated the generation of reactive oxygen species for regulating the water loss rate in the detaching maize seedlings. Haiyue Yu,Yubin Wang,Jiapeng Xing,Yushi Zhang,Liusheng Duan,Mingcai Zhang,Zhaohu Li. 2021

[10]Biochemical, gas exchange, and chlorophyll fluorescence analysis of maize genotypes under drought stress reveals important insights into their interaction and homeostasis. Singh, G. M.,Goldberg, S.,Schaefer, D.,Zhang, F.,Sharma, S.,Mishra, V. K.,Xu, J.. 2022

[11]Contrasting Growth Patterns, Root Trait Plasticity, Phosphorus Uptake, and Antioxidant Responses in Maize Hybrids under Water and Phosphorus Deficiency. Hussain, Hafiz Athar,Zhang, Qingwen,Ain, Qurat ul,Hussain, Saddam,Uddin, Saleem,Naqvi, Rubab Zahra,Atif, Rana Muhammad,Ahmad, Muhammad,Imran, Asma. 2025

[12]Molybdenum cofactor biosynthesis gene ZmCNX6 regulates vivipary and drought tolerance in maize. Chen, Yuxin,Wang, Yiru,Sun, Minghao,Li, Jian,Qin, Yang,Huang, Quansheng,Zheng, Jun. 2025

[13]Spatio-Temporal Changes in the Rice Planting Area and Their Relationship to Climate Change in Northeast China: A Model-Based Analysis. Xia Tian,Wu Wen-bin,Zhou Qing-bo,Yu Qiang-yi,Yang Peng,Tang Hua-jun,Verburg, Peter H.,Lu Zhong-jun. 2014

[14]Will higher minimum temperatures increase corn production in Northeast China? An analysis of historical data over 1965-2008. Chen, Changqing,Lei, Chengxia,Qian, Chunrong,Zhang, Weijian,Deng, Aixing,Zhang, Weijian,Hoogmoed, Willem. 2011

[15]Catastrophic Risk Assessment of Crops Caused by Flood Based on Vulnerability-Using Northeast China as a Case. Zhao, Sijian,Zhang, Qiao. 2014

[16]Estimates of N2O Emissions and Mitigation Potential from a Spring Maize Field Based on DNDC Model. Li Hu,Qiu Jian-Jun,Wang Li-gang,Xu Ming-yi,Liu Zhi-qiang,Wang Wei. 2012

[17]Organic amendments increase corn yield by enhancing soil resilience to climate change. Song, Zhenwei,Deng, Aixing,Zheng, Chengyan,Zhang, Weijian,Gao, Hongjun,Zhu, Ping,Peng, Chang,Mannaf, Md Abdul,Islam, Md Nurul. 2015

[18]Geographical Variation of Climate Change Impact on Rice Yield in the Rice-Cropping Areas of Northeast China during 1980-2008. Liu, Zhenhuan,Zhang, Guojie,Yang, Peng. 2016

[19]Assess the Accuracy of the Globcover Cultivated Lan d Data in Northeast China. Zhang, Li,Wu, Wenbin,Zhou, Qingbo,Chen, Zhongxin,Li, Zhengguo,Wu, Wenbin,Zhou, Qingbo,Chen, Zhongxin,Li, Zhengguo. 2012

[20]Clustering analysis of regional reference evapotranspiration and its components based on climatic variables across northeast China, 1961-2010. Liu, Yuan,Liu, Buchun,Yang, Xiaojuan,Bai, Wei,Liu, Yuan,Liu, Buchun,Yang, Xiaojuan,Bai, Wei,Liu, Yuan,Liu, Buchun,Yang, Xiaojuan,Bai, Wei. 2016

作者其他论文 更多>>