<p>In the age of global warming and climate change, it is critical to understand how crops adapt to a constantly shifting microclimate. It is very important to understand crop stress responses, which involve early diagnosis of stress using different phenotyping tools. These phenotyping tools record the data using various morphological, biochemical, and photochemical traits. Stress-related traits are complex traits controlled by multiple genes and pathways. High-throughput phenotyping (HTP) is a method for rapidly and precisely assessing multiple plant phenotypic traits at large scale. Hence, phenotyping stress-related traits with HTP platforms is essential for understanding crop phenomics. Using state-of-the-art plant phenotyping systems that automatically scan large numbers of plants and identify genomic regions that regulate various stresses would accelerate the crop improvement program. Overall, this review will cover stress phenotyping in detail by dissecting complex traits using diverse traits and automated phenomic tools, including biotic and abiotic stress-related traits. The methods involved in stress phenotyping, the stress-specific/trait-specific requirements for sensor advancement, and the high-quality image-based linking of phenomics data with genomics data. Further, the challenges associated with the cost and complexity of stress phenotyping, as well as its broader application in climate-resilient agriculture, are discussed. We believe the comprehensive work on stress phenotyping has been highlighted and streamlined in this review, which could be a valuable resource for researchers and students in the field.</p>

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Phenotyping for physiological traits under plant stress: methods, challenges, and future perspectives

  • Ashutosh Singh,
  • Saurabh Pandey,
  • Sarita Kumari,
  • R. Thribhuvan,
  • Vishal Dinkar,
  • Sumeet Kumar Singh

摘要

In the age of global warming and climate change, it is critical to understand how crops adapt to a constantly shifting microclimate. It is very important to understand crop stress responses, which involve early diagnosis of stress using different phenotyping tools. These phenotyping tools record the data using various morphological, biochemical, and photochemical traits. Stress-related traits are complex traits controlled by multiple genes and pathways. High-throughput phenotyping (HTP) is a method for rapidly and precisely assessing multiple plant phenotypic traits at large scale. Hence, phenotyping stress-related traits with HTP platforms is essential for understanding crop phenomics. Using state-of-the-art plant phenotyping systems that automatically scan large numbers of plants and identify genomic regions that regulate various stresses would accelerate the crop improvement program. Overall, this review will cover stress phenotyping in detail by dissecting complex traits using diverse traits and automated phenomic tools, including biotic and abiotic stress-related traits. The methods involved in stress phenotyping, the stress-specific/trait-specific requirements for sensor advancement, and the high-quality image-based linking of phenomics data with genomics data. Further, the challenges associated with the cost and complexity of stress phenotyping, as well as its broader application in climate-resilient agriculture, are discussed. We believe the comprehensive work on stress phenotyping has been highlighted and streamlined in this review, which could be a valuable resource for researchers and students in the field.