数字农科院2.0

Quantitative Design Of Yield Components To Simulate Yield Formation For Maize In China

文献类型： 外文期刊

作者： Hou, HP; Ma, W; Noor, MA; Tang, LY; Li, CF; Ding, ZS; Zhao, M

作者机构：

关键词： Maize; Yield Performance Parameters; High Yield; Yield Prediction Process; Quantitative Design

期刊名称： JOURNAL OF INTEGRATIVE AGRICULTURE

ISSN： 2095-3119

年卷期： 2020 年 19 卷 3 期

页码：

收录情况： JCR（2021版） ; CSCD（2020-2021年度） ; 农林核心（2020版） ; 科技核心（2020版）

摘要： Maize (Zea mays L.) stands prominently as one of the major cereal crops in China as well as in the rest of the world. Therefore, predicting the growth and yield of maize for large areas through yield components under high-yielding environments will help in understanding the process of yield formation and yield potential under different environmental conditions. This accurate early assessment of yield requires accuracy in the formation process of yield components as well. In order to formulate the quantitative design for high yields of maize in China, yield performance parameters of quantitative design for high grain yields were evaluated in this study, by utilizing the yield performance equation with normalization of planting density. Planting density was evaluated by parameters including the maximum leaf area index and the maximum leaf area per plant. Results showed that the variation of the maximum leaf area per plant with varying plant density conformed to the Reciprocal Model, which proved to have excellent prediction with root mean square error (RMSE) value of 5.95%. Yield model estimation depicted that the best optimal maximum leaf area per plant was 0.63 times the potential maximum leaf area per plant of hybrids. Yield performance parameters for different yield levels were quantitatively designed based on the yield performance equation. Through validation of the yield performance model by simulating high yields of spring maize in the Inner Mongolia Autonomous Region and Jilin Province, China, and summer maize in Shandong Province, the yield performance equation showed excellent prediction with the satisfactory mean RMSE value (7.72%) of all the parameters. The present study provides theoretical support for the formulation of quantitative design for sustainable high yield of maize in China, through consideration of planting density normalization in the yield prediction process, providing there is no water and nutrient limitation.

分类号：

  • 相关文献

[1]Canopy Characteristics Of High-Yield Maize W.ith Yield Potential Of 2 2.5 Mg Ha(-1). Liu, GZ, Hou, P, Xie, RZ, Ming, B, Wang, KR, Xu, WJ, Liu, WM, Yang, YS, Li, SK. 2017

[2]Research Progress On Reduced Lodging O.f High-Yield And -Density M aize. Xue, J, Xie, RZ, Zhang, WF, Wang, KR, Hou, P, Ming, B, Gou, L, Li, SK. 2017

[3]Adjusting Maize Plant Density To D.ifferent Climatic Conditions Across A Large Longitudinal Distance In China. Xu, WJ, Liu, CW, Wang, KR, Xie, RZ, Ming, B, Wang, YH, Zhang, GQ, Liu, GZ, Zhao, RL, Fan, PP, Li, SK, Hou, P. 2017

[4]Canopy characteristics of high-yield maize with yield potential of 22.5 Mg ha-1. . 2017

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

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

[7]Yield Components Of Forage Ramie (.Boehmeria Nivea L.) And T heir Effects On Yield. Xu, Ying,Su, Jianguang,Deng, Canhui,Cheng, Chaohua,Liu, Chan,Xu, Ying,Yang, Zemao,Tang, Qing,Chen, Jianhua,Dai, Zhigang. 2019

[8]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

[9]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

[10]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

[11]Dissecting The Genetic Basis Underlying C.ombining Ability Of Plant H eight Related Traits In Maize. Wang, Liwei,Wang, Liwei,Hao, Zhuanfang,Zhu, Hanyong,Zhou, Zhiqiang,Lu, Xiaohuan,Li, Mingshun,Zhang, Degui,Zhu, Hanyong,Yong, Hongjun,Li, Xinhai,Weng, Jianfeng,Zhang, Chaoshu. 2018

[12]First Report Of Maize Ear R.ot Caused By Fusarium S acchari In China. Wang, B. B.,Tang, Z. L.,Duan, C. X.,Du, Q.,Li, S. C.. 2019

[13]Genome-Wide Association Mapping And Genomic P.rediction Analyses Reveal The G enetic Architecture Of Grain Yield And Flowering Time Under Drought And Heat Stress Conditions In Maize. Magorokosho, Cosmos,Hao, Zhuanfang,Makumbi, Dan,Liu, Yubo,Lu, Yanli,Gowda, Manje,Olsen, Michael S.,Cairns, Jill E.,Babu, Raman,Babu, Raman,Wang, Nan,Wang, Nan,Zhang, Xuecai,Prasanna, Boddupalli M.,San Vicente, Felix,Yuan, Yibing,Lu, Yanli,Yuan, Yibing,Yuan, Yibing,Zhang, Ao. 2019

[14]Qnclb7.02, A Novel Qtl For R.esistance To Northern Corn L eaf Blight In Maize. Li, Xinhai,Zhang, Chaoshu,Hao, Zhuanfang,Weng, Jianfeng,Zheng, Lei,Tian, Ran,Zhou, Zhiqiang,Zhang, Chaoshu,Li, Mingshun,Lu, Xiaohuan,Yang, Jing,Xu, Zhennan,Yong, Hongjun,Zhang, Degui,Wang, Jianjun,Xu, Zhennan. 2018

[15]The Synergistic Priming Effect Of E.xogenous Salicylic Acid And H 2O2 On Chilling Tolerance Enhancement During Maize (Zea Mays L.) Seed Germination. Hu, Weimin,Huang, Yutao,Luo, Ying,Hu, Jin,Guan, Yajing,Sheteiwy, Mohamed S.,Xu, Jungui,Li, Zhan,Sheteiwy, Mohamed S.,Guo, Genyuan,Wang, Chun,Gao, Yue. 2017

[16]Growth Dynamics Of Maize (Zea M.ays L.) And Weeds I n Response To Different Nitrogen Levels And Weeding Intervals. Wei, Shouhui,Saeed, Muhammad,Huang, Zhaofeng,Huang, Hongjuan,Khattak, Mansoor Khan,Saeed, Muhammad,Zhang, Chaoxian,Alf, Murad. 2018

[17]Gene-Indexed Mutations In Maize .. Yang, Qun,Zhang, Chunyi,Ren, Wen,Zhao, Jun,Wang, Haiyang,Wang, Lei,Zhao, Jiuran,Lang, Zhihong,Chai, Zhenguang,Fan, Yunliu,Lu, Xiaoduo,Chen, Rumei,Lu, Xiaoduo,Liu, Jisheng. 2018

[18]Transcriptome And Gwas Analyses Reveal Candidate Gene For Seminal Root Length Of Maize Seedlings Under Drought Stress. Wang, Tianyu,Guo, Jian,Yang, Deguang,Li, Yongxiang,Song, Yanchun,Shi, Yunsu,Zhang, Dengfeng,Li, Chunhui,Li, Yu,Zhang, Xiaoqiong. 2020

[19]Spatio-Temporal Transcriptional Dynamics Of Maize L.ong Non-Coding Rnas Responsive T o Drought Stress. Zhao, Jun,Zhang, Xia,Pang, Junling,Ma, Xuhui. 2019

[20]Effects of nitric oxide on some physiological characteristics of maize seedlings under waterlogging. Wang, Ben,Li, Cuihua,Zhu, Yong,Tian, Xiaohai,Zou, Huawen,Liu, Hongfang,Ma, Guohui. 2011

作者其他论文 更多>>