数字农科院2.0

Quantitative design and production methods for sustainably increasing maize grain yield and resource use efficiency

文献类型: 外文期刊

作者: Huaxiang Ji;Guangzhou Liu;Wanmao Liu;Yunshan Yang;Xiaoxia Guo;Guoqiang Zhang;Zhiqiang Tao;Shaokun Li;Peng Hou

作者机构:

关键词: green production;high yield;Maize;quantitative design

期刊名称: Frontiers of Agricultural Science and Engineering

ISSN: 2095-977X

年卷期: 2025 年 12 卷 3 期

页码:

收录情况: CSCD(2025-2026年度) ; ; 农林核心(2024版) ; ; ESCI(2025版)

摘要: Due to continuous increases in the global population and the limited availability of arable land resources, issues related to food security have attracted increasing attention. Maize is the most productive and most widely planted food crop in China and has the highest yield potential among different crops. Increasing the yield of maize per unit area has become one of the key goals in agriculture in China. This study summarized the key limiting factors, such as solar radiation, temperature, water, soil resources and extreme weather events that currently limit the yield and resource use efficiency of maize production, as well as the main problems existing in the process of maize production, such as unsuitable cultivar selection, low planting density and inappropriate fertilizer application. Then the maize population was optimized on the basis of quantitative design principles. By this approach, crop planting density was matched with solar radiation levels, the population structure was matched with appropriate cultivars, and the plow layer-root system-canopy functions were matched with grain yield to ensure increases in grain yield and resource use efficiency in maize production. These factors can significantly improve maize production and related economic benefits, reduce production costs and environmental burdens, and provide a scientific basis and technical support for realizing sustainable agricultural development in China.

分类号:

  • 相关文献

[1]Adjusting maize plant density to different climatic conditions across a large longitudinal distance in China. Xu, Wenjuan,Liu, Chaowei,Zhang, Guoqiang,Li, Shaokun,Wang, Keru,Xie, Ruizhi,Ming, Bo,Liu, Guangzhou,Fan, Panpan,Li, Shaokun,Hou, Peng,Wang, Yonghong,Zhao, Rulang.

[2]Coordinating maize source and sink relationship to achieve yield potential of 22.5 Mg ha-1. Guangzhou Liu,Yunshan Yang,Xiaoxia Guo,Wanmao Liu,Ruizhi Xie,Bo Ming,Jun Xue,Keru Wang,Shaokun Li,Peng Hou. 2022

[3]Dynamics of high-yielding maize genotypes under intensive management across multiple environments. Li, Rongfa,Zhang, Guoqiang,Xie, Ruizhi,Hou, Peng,Ming, Bo,Xue, Jun,Wang, Keru,Li, Shaokun. 2024

[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]Compound Microbial Agent Improves Soil Redox Status to Reduce Methane Emissions from Paddy Fields. Tao Yi,Xiao Deshun,Ye Chang,Liu Kancheng,Tang Xinxin,Ma Hengyu,Chu Guang,Yu Kai,Xu Chunmei,Wang Danying. 2024

[7]Improving Yield and Nitrogen Use Efficiency Simultaneously for Maize and Wheat in China: A Review. Meng Qingfeng,Yue Shanchao,Hou Peng,Cui Zhenling,Chen Xinping,Meng Qingfeng,Hou Peng. 2016

[8]Weak Border Effects And Great Uniformity Increase Yield Of Maize (Zea Mays) Under Dense Population. Xie, Ruizhi,Li, Shaokun,Ming, Bo,Wang, Keru,Li, Jian,Zhang, Guoqiang,Liu, Guangzhou,Liu, Yuee,Hou, Peng. 2020

[9]Theory and application for the promotion of wheat production in China: past, present and future. Xu, Zhenzhu,Yu, Zhenwen,Xu, Zhenzhu,Zhao, Junye. 2013

[10]Application of Blended Controlled-Release and Normal Urea with Suitable Maize Varieties to Achieve Integrated Agronomic and Environmental Impact in a High-Yielding Summer Maize System. Ma, Mengjin,Li, Huan,Yan, Dongliang,Zhang, Yihan,Song, Miaomiao,Wang, Yongchao,Wang, Hao,Shao, Ruixin,Guo, Jiameng,Yang, Qinghua. 2022

[11]Fine-Tuning Florigen Increases Field Yield Through Improving Photosynthesis in Soybean. Kun Xu,Xiao Mei Zhang,Haifeng Chen,Chanjuan Zhang,Jinlong Zhu,Zhiyuan Cheng,Penghui Huang,Xinan Zhou,Yuchen Miao,Xianzhong Feng,Yong Fu Fu. 2021

[12]Manipulating Planting Density And Nitrogen F.ertilizer Application To Improve Y ield And Reduce Environmental Impact In Chinese Maize Production. Xu, CL, Huang, SB, Tian, BJ, Ren, JH, Meng, QF, Wang, P. 2017

[13]Fine-Tuning Florigen Increases Field Yield Through Improving Photosynthesis in Soybean. Kun Xu,Xiao Mei Zhang,Haifeng Chen,Chanjuan Zhang,Jinlong Zhu,Zhiyuan Cheng,Penghui Huang,Xinan Zhou,Yuchen Miao,Xianzhong Feng,Yong Fu Fu. 2021

[14]Evaluation of the Production Potential of Mung Bean Cultivar “Zhonglv 5”. Lixia Wang,Suhua Wang,Gaoling Luo,Jintao Zhang,Yanhua Chen,Honglin Chen,Xuzhen Cheng. 2022

[15]Genomic insight into balancing high yield, good quality, and blast resistance of japonica rice. Ning Xiao,Cunhong Pan,Yuhong Li,Yunyu Wu,Yue Cai,Yue Lu,Ruyi Wang,Ling Yu,Wei Shi,Houxiang Kang,Zhaobing Zhu,Niansheng Huang,Xiaoxiang Zhang,Zichun Chen,Jianju Liu,Zefeng Yang,Yuese Ning,Aihong Li. 2021

[16]Co-expression of multi-gene in cotton promotes the aggregation of multi-resistance and yield traits. Peng Wang,Hang Zhao,Xingxing Liu,Guilin Li,Xiaoshuang Zhang,Xueyan Zhang,Yadi Xing. 2023

[17]Regulatory mechanisms of MADS-box transcription factors in growth, development, and environmental stress-targeting increased rice yield. An Wang,Chaoqing Ding,Yuqin Hu,Qian Qian,Deyong Ren. 2025

[18]Genome-Wide Analysis Of The Myb-Cc G.ene Family Of Maize. Li, Rui,Su, Liang,Sun, Fengjie,Wang, Minglei,Bai, Jianrong,Caetano-Anolles, Gustavo. 2019

[19]Genome-Wide Association Study And Genomic P.rediction Analyses Of Drought S tress Tolerance In China In A Collection Of Off-Pvp Maize Inbred Lines. Liang, Xiaoling,Wang, Nan,Weng, Jianfeng,Nair, Sudha,Zhang, Degui,Yang, Jie,Li, Xinhai,Liu, Bojuan,Song, Jie,Zhang, Xuecai,Hao, Zhuanfang,San Vicente, Felix,Yong, Hongjun,Li, Mingshun,Zhou, Yueheng. 2019

[20]Transcriptomic Analysis Of Long Non-Coding R.nas And Coding Genes U ncovers A Complex Regulatory Network That Is Involved In Maize Seed Development. Xu, Miaoyun,Wang, Lei,Zhu, Ming,Zhu, Ming,Zhang, Min,Jiang, Haiyang,Xing, Lijuan,Li, Wenzong. 2017

作者其他论文 更多>>