Mitra Ghotbi , Marjan Ghotbi , Yakov Kuzyakov , William R. Horwath
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引用次数: 0
Abstract
The interplay between plant genotype and nutrient management affects rhizodeposition, which in turn modulates the rhizosphere-microbiome and microbe-mediated functions. Substituting mineral nitrogen (N) with an N-fixing inoculant reduces reliance on N fertilizer while supplying N to crops. We evaluated the effectiveness of integrating maize near-isogenic lines (NIL 1 and NIL 2) with the biological nitrification inhibition (BNI) trait into management practices aimed at optimizing N provisioning. Management strategies included mineral N inputs (0 and 67 kg ha⁻¹) with and without an N-fixing inoculant. Our approach synthesized insights from amplicon sequencing data and evaluated nitrification rates, rhizosphere N content, maize N uptake, and N use efficiency (NUE). Genotypes and management structured prokaryotic communities, while the developmental stages of genotypes further refined both fungal and prokaryotic communities. The N-fixing inoculant increased N availability, triggering the BNI capacity without increasing the nitrification rate. This was reflected in lower NO₃⁻ and higher NH₄⁺ levels in BNI-NIL leachate compared to B73, suggesting improved N retention. NIL2, characterized by distinct fungal biomarkers, exhibited higher N content (72.3 kg ha⁻¹) and superior NUE compared to NIL1 (65.0 kg ha⁻¹). NIL2’s enhanced N uptake was associated with a robust microbial network, featuring Archangium (prokaryote) and Trichoderma (eukaryote) as keystone taxa. Notably, Archangium was linked to rhizosphere N dynamics Synergizing BNI with diazotroph inoculants reduces N fertilizer reliance and increases maize N supply for sustainable agroecosystems.
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.