Understanding the increased maize productivity of intercropping systems from interactive scenarios of plant roots and arbuscular mycorrhizal fungi

IF 6.4 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agriculture, Ecosystems & Environment Pub Date : 2025-04-01 Epub Date: 2024-12-24 DOI:10.1016/j.agee.2024.109450
Yizhe Wang , Pan Jiang , Chaolin Liao , Jiangchi Fei , Yuping Zhang , Rong Xiangmin , Jianwei Peng , Gongwen Luo
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Abstract

Abundant evidences have demonstrated that below-ground feedback mediated by crop diversification is essential for enhancing crop productivity. However, there is a knowledge gap about the mechanism underlying intercropping-driven productivity gain from the perspective of interactive scenarios of root traits and arbuscular mycorrhizal fungi (AMF). Herein, a ten-year field experiment was employed to reveal the differences of rhizosphere AMF community and root functional traits between maize monocropping and intercropping systems (maize-peanut, maize-soybean, maize-gingelly, and maize-sweet potato), as well as their relationships with maize productivity. AMF community traits were identified by high-throughput sequencing combined with bioinformatics and ecological analysis. Plant biomass, carbon (C) and nutrient content and accumulation were considered as productivity indicators, and root activity and morphology were considered as root functional traits. Compared with monocropping system, intercropping systems showed higher maize biomass, C accumulation and nutrient uptake (P < 0.05), and the intercropping advantage varied at different growth stages. Monocropping and intercropping systems showed a significant difference in maize root activity and morphology. AMF colonization significantly increased in all systems as maize developed, with the maize-peanut and maize-soybean consistently keeping higher colonization than other systems. The AMF communities of all systems except maize-gingelly were with greater force governed by deterministic assembly processes (MST < 50 %), in which monocropping system presented the lowest stochasticity ratio. AMF community composition in maize-soybean system was most deterministically driven and most diffusion-limited in neutral model. Compared with monocropping system, AMF community network showed a higher robustness in intercropping systems. And the ASVs of AMF community enriched by intercropping systems mainly belonged to genus Paraglomus, Glomus, and Claroideoglomus. The colonization, Shannon index, community composition, and core taxa (Glomus) of rhizosphere AMF influenced plant biomass and C and nutrient accumulation directly or indirectly by regulating root activity and morphology. Root activity also affected these maize productivity indicators directly or indirectly by regulating AMF community composition and core taxa (Claroideoglomus and Paraglomus). This work highlights the benefits of rhizosphere AMF in productivity gain of intercropping systems, and meanwhile, underscores the importance of AMF and root interactions in crop production.
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从植物根系和丛枝菌根真菌相互作用的角度了解间作系统对玉米产量的提高
大量证据表明,作物多样化介导的地下反馈对提高作物生产力至关重要。然而,从根系性状与丛枝菌根真菌(AMF)相互作用的角度来看,间作驱动生产力增长的机制尚不清楚。通过为期10年的田间试验,揭示了玉米单作与间作(玉米-花生、玉米-大豆、玉米-姜辣、玉米-甘薯)间根际AMF群落和根系功能性状的差异及其与玉米产量的关系。采用高通量测序、生物信息学和生态学分析相结合的方法鉴定AMF群落性状。以植物生物量、碳(C)和养分含量及积累为生产力指标,以根系活性和形态为根系功能性状。与单作相比,间作玉米生物量、碳积累量和养分吸收量均高于单作(P <; 0.05),间作优势在不同生育期有所差异。单作与间作在玉米根系活力和形态上存在显著差异。随着玉米的发育,AMF在所有体系中的定殖量显著增加,其中玉米-花生和玉米-大豆的定殖量始终高于其他体系。除玉米外,所有系统的AMF群落均受确定性装配过程(MST <;50 %),其中单作系统的随机比最低。中性模式下玉米-大豆系统AMF群落组成受确定性驱动和扩散限制最大。与单作系统相比,AMF群落网络在间作系统中表现出更高的鲁棒性。间作系统富集的AMF群落主要为Paraglomus属、Glomus属和Claroideoglomus属。根际AMF的定殖、Shannon指数、群落组成和核心类群Glomus通过调节根系活性和形态直接或间接影响植物生物量、碳和养分积累。根系活力也通过调节AMF群落组成和核心类群(Claroideoglomus和Paraglomus)直接或间接地影响这些玉米生产力指标。本研究强调了根际AMF对间作系统生产力提高的益处,同时强调了AMF与根系相互作用在作物生产中的重要性。
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来源期刊
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment 环境科学-环境科学
CiteScore
11.70
自引率
9.10%
发文量
392
审稿时长
26 days
期刊介绍: Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.
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