Integrating multiomics driven bioengineering and regenerative approaches to improve soil health and productivity in climate adaptive soybean farming on problematic soils
問題土壌における気候適応型ダイズ栽培のための土壌健全性と生産性向上に向けたマルチオミクス駆動型バイオエンジニアリングと再生アプローチの統合 (AI 翻訳)
Fairus Hisanah Hibatullah, Emma Trinurani Sofyan, Anne Nurbaity, T Simarmata
🤖 gxceed AI 要約
日本語
本レビューは、問題土壌（酸性・塩性）における気候適応型ダイズ栽培のため、マルチオミクス（ゲノミクス、トランスクリプトミクス、根圏微生物叢工学）と再生農業（バイオアメリオラント、CRISPR/Cas9）の統合を評価。収量15～45%増加、土壌pH0.5～1.0上昇、有機炭素40%増加、生物多様性50%増加、窒素利用効率30%向上を示す。しかし長期フィールド検証とデータ統合が課題。
English
This review evaluates integrating multiomics (genomic, transcriptomic, rhizomicrobiome engineering) with regenerative practices (bioameliorants, CRISPR/Cas9) for climate-adaptive soybean farming on acidic/saline soils. It reports yield increase of 15–45%, soil pH rise by 0.5–1.0 units, 40% increase in soil organic carbon, 50% increase in soil biota, and 30% improvement in nitrogen-use efficiency. Long-term field validation and data integration remain challenges.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文はインドネシアの酸性・塩性土壌を対象としており、直接日本には適用されないが、土壌健全性向上による炭素貯留や持続可能農業の知見は日本のGX政策（みどりの食料システム戦略等）に示唆を与える可能性がある。
In the global GX context
While not directly about corporate disclosure, this paper provides evidence on soil carbon sequestration and sustainable intensification relevant to nature-based solutions and climate adaptation strategies, which are increasingly referenced in global frameworks like TNFD and ISSB's nature-related disclosures.
👥 読者別の含意
🔬研究者:This review identifies promising multiomics and regenerative techniques for climate-resilient soybean farming but highlights the need for long-term field validation and data integration.
🏢実務担当者:Farmers and agribusiness can consider microbial inoculants, nutrient amendments, and CRISPR techniques to improve yields on degraded soils, though scalability requires further testing.
🏛政策担当者:Policymakers should support long-term field trials and multiomics data integration to enable widespread adoption of climate-smart agricultural practices, especially on problematic soils.
📄 Abstract（原文）
Multiomics-based bioengineering and regeneration approaches are increasingly recognized as beneficial for restoring soil health and improving sustainable agriculture under climate change. Soil-related abiotic stresses, particularly soil acidity and salinity, continue to be significant production constraints for soybean ( Glycine max L.) and agroecosystem resilience, particularly in Indonesia’s problematic soils. This study comprehensively reviews integrating multiomics, including genomic, transcriptomic, and rhizomicrobiome-based engineering with regenerative practice to enhance soil biological function, nutrient use efficiencies, and climate-resilient soybean production. A PRISMA-guided systematic review with bibliometric analysis of 2015–2025 publications included 986 articles from ScienceDirect and Scopus, of which 15 were eligible. The research unveils and advocates emerging trends in rhizobiome engineering, multiomics integration, regenerative soil management, and bioameliorant innovations to mitigate abiotic stresses while collaboratively restoring soil functionality. It is concluded that, under acidic and saline soil conditions, the soybean physiological performance for increased stress tolerance was significantly improved by microbial inoculants, nutrient amendments, and CRISPR/Cas9-mediated gene knockout techniques, resulting in an average yield increase of 15%–45% and grain yield exceeding 3.2 t ha –1 . Additionally, soil pH was raised by 0.5–1.0 units, soil organic carbon increased by 40%, soil biota abundance increased by 50%, and nitrogen-use efficiency increased by 30% through regenerative practices. Despite these developments, long-term field validation, multiomics data integration, and policy support for widespread adoption remain significant obstacles. This review emphasizes climate-smart soybean cultivation on degraded soils by integrating multiomics-based bioengineering with regenerative management approaches. Nevertheless, the limited number of existing studies underscores the need for broader large-scale validation and enhanced data integration.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fmicb.2026.1821982first seen 2026-07-20 04:54:25
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