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<p>As climate change intensifies, the agricultural sector faces unprecedented challenges, particularly in the production of heat-sensitive crops like tomatoes. This review explores the integration of advanced phenomics, genomics, and machine learning technologies to enhance heat stress tolerance in tomato cultivars. We highlight the detrimental effects of elevated temperatures on tomato growth, yield, and quality, emphasizing the urgent need for innovative breeding strategies. By leveraging high-throughput phenotyping techniques, including thermal infrared imaging, hyperspectral imaging, and chlorophyll fluorescence imaging, researchers can non-invasively monitor physiological responses and identify key traits associated with heat resilience. Furthermore, the application of genome-wide association studies (GWAS) facilitates the identification of critical genetic markers linked to heat tolerance, paving the way for targeted breeding programs. This comprehensive approach not only aims to develop resilient tomato varieties capable of thriving under extreme conditions but also addresses broader concerns of food security in the face of global climate challenges. Ultimately, our findings underscore the potential of integrating multi-omics data and cutting-edge imaging technologies to revolutionize tomato breeding and ensure sustainable agricultural practices in a warming world.</p>

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Leveraging phenomics to enhance heat stress tolerance in tomato cultivars: a promising approach to climate change adaptation

  • 期刊论文

  • 发表日期：

    2025年1月11日

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  • K. S. Vijai Selvaraj,
  • J. Karthikeyan,
  • A. Bharathi,
  • P. Irene Vethamoni,
  • C. Indu Rani,
  • N. Manikanda Boopathy,
  • S. Aishwarya,
  • P. Rajiv

摘要

As climate change intensifies, the agricultural sector faces unprecedented challenges, particularly in the production of heat-sensitive crops like tomatoes. This review explores the integration of advanced phenomics, genomics, and machine learning technologies to enhance heat stress tolerance in tomato cultivars. We highlight the detrimental effects of elevated temperatures on tomato growth, yield, and quality, emphasizing the urgent need for innovative breeding strategies. By leveraging high-throughput phenotyping techniques, including thermal infrared imaging, hyperspectral imaging, and chlorophyll fluorescence imaging, researchers can non-invasively monitor physiological responses and identify key traits associated with heat resilience. Furthermore, the application of genome-wide association studies (GWAS) facilitates the identification of critical genetic markers linked to heat tolerance, paving the way for targeted breeding programs. This comprehensive approach not only aims to develop resilient tomato varieties capable of thriving under extreme conditions but also addresses broader concerns of food security in the face of global climate challenges. Ultimately, our findings underscore the potential of integrating multi-omics data and cutting-edge imaging technologies to revolutionize tomato breeding and ensure sustainable agricultural practices in a warming world.