Root plasticity improves the potential of maize/soybean intercropping to stabilize the yield

IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Soil & Tillage Research Pub Date : 2025-03-17 DOI:10.1016/j.still.2025.106553
Zhen Fan , Pengzhao Liu , Yanrong Lin , Binbin Qiang , Zhipeng Li , Mengwei Cheng , Qihang Guo , Jinpeng Liu , Xiaolong Ren , Xining Zhao , Xiaoli Chen
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Abstract

Intercropping is considered an effective practice to improve farmland productivity and root plasticity is a major reason for the high yields from intercropping. Understanding the changes in root systems is crucial for optimizing intercropping systems. Previous investigations of intercropping root systems have focused mainly on the impact of interspecific interactions on root distributions, with relatively less attention paid to the allocation of assimilates in root systems and the morphological characteristics of roots in the maize/soybean intercropping system, especially under different water and nitrogen (N) conditions. In this study, a two-year field (2022–2023) experiment was conducted in the eastern hilly area of the Loess Plateau in a two-factor split-plot design, with three cropping patterns (sole maize, sole soybean, and maize/soybean intercropping) as the main treatments, and N fertilizer application (no N fertilizer and N fertilizer) as the sub-treatments, to quantify the effects of nitrogen application on the root plasticity of the maize/soybean intercropping system between years of different rainfall. The results showed that maize/soybean intercropping enhanced land use efficiency, with a land equivalent ratio (LER) of 1.09–1.16. Compared with sole cropping, the yield per unit area of intercropping maize increased by 21.3 %-29.3 %, but that of intercropping soybean decreased by 7.7 %-14.2 %. Intercropping changed the allocation of assimilates in both maize and soybean, such that the root:shoot ratio of intercropping maize decreased by 4.5 %-17.8 %, and that of intercropping soybean increased by 27.8 %-41.5 %. In the wet year, intercropping maize and soybean exhibited a shallow root growth pattern, whereas maize demonstrated a deep root growth pattern during the dry year. The roots of intercropping maize tended to grow towards the border rows of intercropping soybean, where the root length density (RLD) of soybean decreased by 36.6 %-49.5 %. In addition, differing moisture and N conditions altered the root morphology of maize and soybean, with N application and intercropping increasing the proportion of thick roots in maize and soybean in the upper soil layer in 2023. In summary, across different water and nitrogen conditions, the plasticity shown by maize and soybean in the allocation of assimilates, root distribution, and root morphology promoted an increase in yield in the intercropping system. Our research results help researchers to better understand the mechanisms of root interactions in the maize/soybean intercropping system, facilitating a more reasonable arrangement of intercropping planting patterns.
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来源期刊
Soil & Tillage Research
Soil & Tillage Research 农林科学-土壤科学
CiteScore
13.00
自引率
6.20%
发文量
266
审稿时长
5 months
期刊介绍: Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research: The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.
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