The yield performance of maize-soybean intercropping in the North China Plain: From 172 sites empirical investigation

文献类型： 外文期刊

第一作者： Yang, Shuqi

作者： Yang, Shuqi;Li, Hao;Wang, Tianzi;Hu, Yimin;Sui, Peng;Gao, Wangsheng;Chen, Yuanquan;Xu, Yinan;Qian, Xin;Li, Zongxin;Zhao, Yingxing

作者机构：

关键词： Maize -soybean intercropping; Field configuration; Field management; Yield; The North China Plain

期刊名称：FIELD CROPS RESEARCH （ 影响因子：5.6； 五年影响因子：6.1 ）

ISSN： 0378-4290

年卷期： 2024 年 315 卷

页码：

收录情况： SCI

摘要： Context: To reduce pressure on soybean imports, the Chinese government has implemented maize (Zea mays L.)soybean (Glycine max(L.) Merr.) intercropping (MIIS). The initiative focuses on mechanized, large-scale agricultural areas in the northern plains, aiming to harvest extra soybean while maintaining maize yield. Research question: Although the high production potential of MIIS has been established in small-scale experiments, its effectiveness in large-scale mechanized settings on the plains has been less explored. Such oversight misses the complexities of intercropping in terms of field management and configuration that affect yield in large-scale scenarios. Methods: The study evaluated the yield performance of 172 households in the North China Plain (NCP) engaging in both MIIS and maize monoculture. A hierarchical model was constructed to forecast the MIIS's high-yielding potential based on the coupling level of field configuration and field management. Results: Findings revealed that MIIS's total yield was only 1 % higher than monoculture. The principal impediment to total yield enhancement was the 10 %-20 % reduction (compared to monoculture) in intercropped maize yield. The inputs for fertilisers, herbicides, chemical control agents, diesel, machinery, and labor for MIIS were 16 %-156 % higher than for monoculture, highlighting significant field management challenges. The imbalance between labor and machinery inputs in weeding was the MIIS's efficiency constraints. Field configuration-type factors contributed 50 % to yield, surpassing field management (23 %). Planting size emerged as the most pivotal factor influencing yield, followed by fertiliser application. Strategies such as controlling the planting scale to 11 ha, increasing the proportion of maize planted to 60 %, optimizing fertiliser and herbicide application (488 kg ha- 1, 3 kg ha-1), and managing weed labor (27 h ha-1) were critical in reducing the intercropped maize yield reduction to 9 %, approaching levels observed in previous fine management experiments. Furthermore, these measures resulted in an increased in the extra soybean yield of 16-26 %. Conclusions: MIIS is therefore eligible for support in the NCP based on the application of yield improvement measures. Significance: This study underscores the yield performance of mechanized, large-scale MIIS, providing theoretical support in terms of yield for its promotion in the NCP.

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