

Cotton Genomics and Genetics, 2025, Vol. 16, No. 4
Received: 12 May, 2025 Accepted: 23 Jun., 2025 Published: 15 Jul., 2025
Cotton production is a major contributor to agricultural greenhouse gas emissions due to high input requirements and land-use intensity. In response, genomic technologies have emerged as transformative tools for developing sustainable, low-carbon cotton farming systems. This review systematically explores the carbon footprint of conventional cotton cultivation and evaluates how genomic insights can be leveraged to mitigate emissions. We examine gene networks linked to carbon use efficiency, stress tolerance, and nutrient utilization, and discuss the application of marker-assisted selection, genomic prediction, and gene editing to breed low-carbon cultivars. Additionally, the integration of genomics with precision agronomic practices and root microbiome research is addressed for enhancing carbon sequestration. A life cycle assessment (LCA) framework is proposed to align genomic strategies with environmental impact metrics, and a regional case study from Xinjiang demonstrates measurable benefits of such an integrated approach. Ultimately, this review underscores the potential of genomic innovation to guide carbon-reduction planting strategies, paving the way for climate-resilient and environmentally responsible cotton production.
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. Xiaojing Yang

. Huijuan Xu

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