Yield gaps and the driving factors under different plant density of spring maize in North China Plain
文献类型: 外文期刊
作者: Li, Teng 1 ; Wang, Jintao 1 ; Dong, Xinliang 1 ; Hu, Yanzhe 1 ; Sun, Fengcheng 2 ; Zhang, Xiangqian 2 ; Xiao, Yu 3 ; Zhang, Dongmei 4 ; Sun, Hongyong 1 ;
作者机构: 1.Chinese Acad Sci, Ctr Agr Resources Res, Inst Genet & Dev Biol, Key Lab Agr Water Resources, Shijiazhuang 050021, Hebei, Peoples R China
2.Inner Mongolia Acad Agr & Anim Husb Sci, Hohhot 010030, Inner Monglia, Peoples R China
3.Cangzhou Acad Agr & Forestry Sci, Cangzhou 061000, Hebei, Peoples R China
4.Shanxi Agr Univ, Shanxi Inst Organ Dryland Farming, Natl Local Joint Engn Lab Water Saving Tech Dry Fa, Key Lab Organ Dry Farming Shanxi Prov, Taiyuan 030031, Shanxi, Peoples R China
关键词: Spring maize; Yield; Plant density; Yield gaps; Driving factor; North China Plain
期刊名称:EUROPEAN JOURNAL OF AGRONOMY ( 影响因子:5.5; 五年影响因子:5.9 )
ISSN: 1161-0301
年卷期: 2025 年 170 卷
页码:
收录情况: SCI
摘要: Increasing planting density is a major agronomic practice to enhance maize yield. With the increasing of plant density, the yield gaps (YG) between different plant densities would be changed. However, YG between different plant densities and the driving factors received little attention. Thus, in this study, a joint field experiment was set at four sites in the spring maize-growing area in North China Plain (NCP), which was at Botou, Hebei province (HBT), Yuci, Shanxi province (YC), Nandagang, Hebei province (NDG), and Baotou, Inner Mongolia (IBT). All the experiments in each sites had three plant densities of 6 x 104, 7.5 x 104, and 9 x 104 plants ha- 1. Combining with the field management and climatic data, YG and the driving factors were analyzed. The results showed that the highest maize yield was found at IBT, but with the lowest YG both at plant density changed from 6 x 104 to 7.5 x 104 plants ha- 1 (YG1) and 7.5 x 104 to 9 x 104 plants ha- 1 (YG2). While the lowest maize yield was found at HBT, but with the highest YG1 and YG2 among the four sites. Through analyzing the relative importance of the driving factors, we found that the field management practices were more important to YG1, which could independently explain 28 % of the variation of YG1, meanwhile with 9 % jointly explanation with yield components, and 6 % jointly explanation with climatic conditions. For the YG2, 31 % variation were explained by the yield components, meanwhile with 7 % jointly explanation with climatic conditions. Finally, we compared and discussed the YG in different areas of China using data from previous studies. The present study proposed the YG between different plant densities during maize densification. And quantify the contribution of the driving factors on different YG. Those results would be meaningful for the formulating of maize planting density strategies, and providing reference to the breeding of maize density-tolerant varieties.
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