Harnessing NMR technology for enhancing field crop improvement: applications, challenges, and future perspectives.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Vedant Gautam, Vibhootee Garg, Nitesh Meena, Sunidhi Kumari, Shubham Patel, Mukesh, Himanshu Singh, Shreyashi Singh, R K Singh
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引用次数: 0

Abstract

Introduction: Nuclear Magnetic Resonance (NMR) spectroscopy has emerged as a transformative technology in agricultural research, offering powerful analytical capabilities for field crop improvement. With global challenges such as food security and climate change intensifying, there is an urgent need for innovative methodologies to enhance our understanding of plant health, metabolic pathways, and crop-environment interactions. NMR's ability to provide nondestructive, real-time analysis of plant metabolites and soil chemistry positions it as a critical tool for addressing these pressing concerns.

Objective: This review aims to elucidate the potential of NMR spectroscopy in advancing field crop improvement by highlighting its applications, challenges, and future perspectives in agricultural methodologies. The focus is on the evolution and application of NMR in agricultural research, particularly in metabolomics, phenotyping, and quality assessment.

Method: A comprehensive literature review was conducted to analyze recent advancements in NMR applications in agriculture. Particular emphasis was given to high-resolution magic angle spinning (HR-MAS) and time-domain NMR techniques, which have been instrumental in elucidating plant metabolites and soil chemistry. Studies showcasing the integration of NMR with complementary technologies for enhanced metabolic profiling and genetic marker identification were reviewed.

Results: Findings indicate that NMR spectroscopy is an indispensable tool in agriculture due to its ability to identify biomarkers indicative of crop resilience, monitor soil composition, and contribute to food safety and quality assessments. The integration of NMR with other technologies has accelerated metabolic profiling, aiding in the breeding of high-yielding and stress-resistant crop varieties. However, challenges such as sensitivity limitations and the need for standardization remain.

Conclusion: NMR spectroscopy holds immense potential for revolutionizing agricultural research and crop improvement. Overcoming existing challenges, such as sensitivity and standardization, is crucial for its broader application in practical agricultural settings. Collaborative efforts among researchers, agronomists, and policymakers will be essential for leveraging NMR technology to address global food security challenges and promote sustainable agricultural practices.

利用核磁共振技术促进大田作物改良:应用、挑战和未来展望。
导读:核磁共振(NMR)光谱已经成为农业研究中的一项变革性技术,为田间作物改良提供了强大的分析能力。随着粮食安全和气候变化等全球性挑战的加剧,迫切需要创新的方法来提高我们对植物健康、代谢途径和作物与环境相互作用的理解。核磁共振能够提供无损的、实时的植物代谢物和土壤化学分析,使其成为解决这些紧迫问题的关键工具。目的:综述核磁共振波谱技术在作物改良中的应用前景、面临的挑战以及在农业方法中的应用前景。重点是核磁共振在农业研究中的发展和应用,特别是在代谢组学、表型和质量评估方面。方法:对近年来核磁共振技术在农业中的应用进展进行综述。特别强调了高分辨率魔角旋转(HR-MAS)和时域核磁共振技术,它们在阐明植物代谢物和土壤化学方面发挥了重要作用。综述了核磁共振与互补技术集成的研究,以增强代谢谱和遗传标记鉴定。结果:研究结果表明,核磁共振光谱是农业中不可或缺的工具,因为它能够识别指示作物抗灾能力的生物标志物,监测土壤成分,并有助于食品安全和质量评估。核磁共振与其他技术的整合加速了代谢谱分析,有助于高产和抗逆性作物品种的育种。然而,诸如灵敏度限制和标准化需求等挑战仍然存在。结论:核磁共振波谱在农业研究和作物改良方面具有巨大的潜力。克服现有的挑战,如敏感性和标准化,对于在实际农业环境中更广泛地应用至关重要。研究人员、农学家和政策制定者之间的合作对于利用核磁共振技术应对全球粮食安全挑战和促进可持续农业实践至关重要。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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