Innovative Approaches in Crop Genetic Engineering for Sustainable Agriculture: A Review

作物 农业 农业工程 可持续农业 农业经济学 生物技术 农林复合经营 农业科学 农学 工程类 生物 经济 生态学
作者
Michelle C. Lallawmkimi,P. Ashoka,Desetty J.M.S.N.K. Sri Veda,Akash Yadav,B Dhivya.,Manoj Kumar,Ankita Rout
出处
期刊:Journal of Advances in Biology & Biotechnology [Sciencedomain International]
卷期号:27 (8): 615-631
标识
DOI:10.9734/jabb/2024/v27i81177
摘要

Genetic engineering has transformed modern agriculture, offering solutions to enhance crop productivity, resilience, and nutritional quality. This review explores the innovations and challenges in crop genetic engineering, focusing on key techniques such as CRISPR-Cas systems, RNA interference, and transgenic methods. These technologies have facilitated the development of stress-resilient crops capable of withstanding drought, salinity, heat, and cold, thereby supporting agricultural sustainability in the face of climate change. Nutrient use efficiency has been improved through genetic modifications that enhance nitrogen and phosphorus uptake, reducing the reliance on chemical fertilizers and minimizing environmental impacts. Additionally, genetic engineering has advanced pest and disease resistance, decreasing the need for chemical pesticides and contributing to environmental conservation. However, the adoption of genetically modified crops is influenced by various socioeconomic factors, including public perception, regulatory frameworks, and intellectual property rights. Ethical concerns regarding biosafety, labeling, and consumer choice persist, necessitating transparent communication and robust risk assessments. Despite technical challenges such as off-target effects and resistance development, innovations like base and prime editing, as well as synthetic biology, offer promising avenues for more precise and efficient genetic modifications. Future research should prioritize the development of climate-resilient and nutritionally enhanced crops, with an emphasis on biofortification to address global micronutrient deficiencies. Integrating digital technologies such as machine learning and big data analytics can accelerate trait discovery and optimize breeding strategies. Moreover, exploring the synergy between genetic engineering and sustainable agricultural practices can promote resilient farming systems that ensure long-term productivity and environmental health. By addressing technical, ethical, and social considerations, genetic engineering can significantly contribute to global food security and sustainability, providing a foundation for future agricultural advancements in an ever-changing world.

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