Experimental assessment of the yield gap associated with maize production in the North China Plain

被引:4
|
作者
Wang, Hongzhang [1 ,2 ]
Ren, Hao [1 ,2 ]
Han, Kun [1 ,2 ]
Zhang, Lihua [3 ]
Zhao, Yali [4 ]
Liu, Yuee [5 ]
He, Qijin [6 ]
Li, Geng [1 ,2 ]
Zhang, Jiwang [1 ,2 ]
Zhao, Bin [1 ,2 ]
Ren, Baizhao [1 ,2 ]
Liu, Peng [1 ,2 ]
机构
[1] Shandong Agr Univ, State Key Lab Crop Biol, Tai An 271018, Shandong, Peoples R China
[2] Shandong Agr Univ, Coll Agron, Tai An 271018, Shandong, Peoples R China
[3] Hebei Acad Agr & Forestry Sci, Inst Cereal & Oil Crops, Shijiazhuang 050035, Hebei, Peoples R China
[4] Henan Agr Univ, Coll Agron, Zhengzhou 450046, Henan, Peoples R China
[5] Beijing Acad Agr & Forestry Sci, Maize Res Ctr, Beijing 100097, Peoples R China
[6] China Agr Univ, Coll Resources & Environm Sci, Beijing 100091, Peoples R China
关键词
Grain yield; Farm experiments; Dry matter; Harvest index; Maize; CROP YIELD; USE EFFICIENCY; HARVEST INDEX; SOUTHEAST-ASIA; GRAIN-YIELD; RICE YIELDS; NUTRIENT; MANAGEMENT; WHEAT; PHILIPPINES;
D O I
10.1016/j.fcr.2023.108897
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
In order to improve the grain yield of food crops, which is necessary to ensure food security, it is crucial to narrow existing yield gaps. Quantitative analyses of crop yield gaps can provide theoretical support for ascer-taining the primary cause of these yield gaps, and then it can be used to increase the grain yield. We evaluated the size and characteristics of the summer maize yield gap in the North China Plain by combining crop models, farmer surveys, and farm experiments. We simulated the summer maize population of farmers' yield level, attainable yield level and potential yield level by establishing three cultivation modes: traditional farming practices (FP), established high-yield and high-efficiency practices (HH) and super-high-yield practices (SH), and introduce the cultivation relying solely on the basic soil fertility (BSF) to reveal the impact of environmental and management factors on yield gap. We explored the driving factors causing observed variations of yield gaps through a quantitative analysis of several additional parameters that are commonly used to characterize the efficiency of the maize production process, including the contribution rates of dry matter and harvest index to grain yield, the radiation interception rate and the radiation conversion efficiency. Our results show that the total yield gap based on farmer surveys and crop models was 4.9 t ha1, accounting for 37% of the potential yield, of which 46% was exploitable. The total yield gap based on the farm experiments was 3.9 t ha1, accounting for 30% of the potential yield, of which 69% was exploitable. The grain yield of FP significantly positively correlated with the grain yield of BSF, HH and SH. The contribution rates of dry matter and harvest index to grain yield of FP treatment were 45.7% and 54.3%, respectively. With the increase of yield level, the contribution rate of dry matter increased and the contribution rate of harvest index decreased. In summary, we found a sizeable total yield gap in summer maize in the North China Plain, and a considerable part is exploitable. Optimizing inte-grated agronomic management has a great potential for closing the exploitable yield gap. Narrowing the yield gap requires a synergistic increase in the contribution rate of dry matter and harvest index to grain yield, but a substantial increase in dry matter is more important. At present, narrowing the exploitable yield gap requires synergistic improvement of radiation interception rate and radiation conversion efficiency to increase the dry matter of maize population. In the future, the regulation measures aiming at narrowing the unexploitable yield gap should further focus on improving the radiation conversion efficiency.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] A sustainable approach to narrowing the summer maize yield gap experienced by smallholders in the North China Plain
    Wang, Hongzhang
    Ren, Hao
    Zhang, Lihua
    Zhao, Yali
    Liu, Yuee
    He, Qijin
    Li, Geng
    Han, Kun
    Zhang, Jiwang
    Zhao, Bin
    Ren, Baizhao
    Liu, Peng
    [J]. AGRICULTURAL SYSTEMS, 2023, 204
  • [2] Identification of Maize Yield Trend Patterns in the North China Plain
    Zhang, Zemin
    Lu, Changhe
    [J]. INTERNATIONAL JOURNAL OF PLANT PRODUCTION, 2021, 15 (01) : 125 - 137
  • [3] Identification of Maize Yield Trend Patterns in the North China Plain
    Zemin Zhang
    Changhe Lu
    [J]. International Journal of Plant Production, 2021, 15 : 125 - 137
  • [4] Declining yield potential and shrinking yield gaps of maize in the North China Plain
    Wang, Jing
    Wang, Erin
    Yin, Hong
    Feng, Liping
    Zhang, Jianping
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2014, 195 : 89 - 101
  • [5] Low yield gap of winter wheat in the North China Plain
    Li, Kenan
    Yang, Xiaoguang
    Liu, Zhijuan
    Zhang, Tianyi
    Lu, Shuo
    Liu, Yuan
    [J]. EUROPEAN JOURNAL OF AGRONOMY, 2014, 59 : 1 - 12
  • [6] Solar dimming decreased maize yield potential on the North China Plain
    Meng, Qingfeng
    Liu, Baohua
    Yang, Haishun
    Chen, Xinping
    [J]. FOOD AND ENERGY SECURITY, 2020, 9 (04):
  • [7] Soil nitrate-N levels required for high yield maize production in the North China Plain
    Cui, Zhenling
    Zhang, Fusuo
    Miao, Yuxin
    Sun, Qinping
    Li, Fei
    Chen, Xinping
    Li, Junliang
    Ye, Youliang
    Yang, Zhiping
    Zhang, Qiang
    Liu, Chunsheng
    [J]. NUTRIENT CYCLING IN AGROECOSYSTEMS, 2008, 82 (02) : 187 - 196
  • [8] Soil nitrate-N levels required for high yield maize production in the North China Plain
    Zhenling Cui
    Fusuo Zhang
    Yuxin Miao
    Qinping Sun
    Fei Li
    Xinping Chen
    Junliang Li
    Youliang Ye
    Zhiping Yang
    Qiang Zhang
    Chunsheng Liu
    [J]. Nutrient Cycling in Agroecosystems, 2008, 82 : 187 - 196
  • [9] Quantifying potential yield and water-limited yield of summer maize in the North China Plain
    Jiang, Mingnuo
    Liu, Chaoshun
    Chen, Maosi
    [J]. REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY XIV, 2017, 10405
  • [10] Suitability of the DNDC model to simulate yield production and nitrogen uptake for maize and soybean intercropping in the North China Plain
    Zhang Yi-tao
    Liu Jian
    Wang Hong-Yuan
    Lei Qiu-liang
    Liu Hong-bin
    Zhai Li-mei
    Ren Tian-zhi
    Zhang Ji-zong
    [J]. JOURNAL OF INTEGRATIVE AGRICULTURE, 2018, 17 (12) : 2790 - 2801