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<p>Radiation Use Efficiency (RUE) refers to the process by which solar energy is captured by plant canopy and transformed into biomass or grain. Crop yield is calculated as the sum of three factors, the quantity of intercepted radiation (IR), radiation use efficiency and harvest index (HI). Considerable efforts have been made to improve IR and HI in crop breeding and they have almost reached the plateau and thus other potential trait for yield improvement is through improving RUE. Currently, RUE on an average in crops varies from 2 to 3% and there is large scope for unleashing this trait in crop improvement. RUE varies from species to species, crop to crop and it is lower in C3 crops than in C4 crops. RUE is influenced by radiation interception, which is further influenced by incoming radiation and the traits that contributes to photosynthesis. Having in-depth knowledge on quantification of RUE and the approaches for improving this trait is very much essential for harnessing its potential in crop breeding programmes. However, the availability of these comprehensive information on RUE is still scanty. Hence, the present review focus on reporting various low and high throughput phenotyping techniques for RUE including hyperspectral imaging, drones equipped with multispectral sensors, and sophisticated data analytics for RUE. These methods enable precise measurement and analysis of plant responses to light, helping researchers to identify genotypic variations in RUE and optimize breeding strategies for improved crop performance. Integrating these innovative approaches enhances our ability to address challenges posed by climate change and improve resource use efficiency in agriculture.</p>

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Low and high-throughput phenotyping for radiation use efficiency and its importance

  • 期刊论文

  • 发表日期：

    2025年9月5日

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  • Preety Rani,
  • H. M. Mamrutha,
  • Zeenat Wadhwa,
  • Yogesh Kumar,
  • Ankit Kumar,
  • Rinki Khobra,
  • Amit Kumar Sharma,
  • O. P. Ahlawat,
  • Ratan Tiwari

摘要

Radiation Use Efficiency (RUE) refers to the process by which solar energy is captured by plant canopy and transformed into biomass or grain. Crop yield is calculated as the sum of three factors, the quantity of intercepted radiation (IR), radiation use efficiency and harvest index (HI). Considerable efforts have been made to improve IR and HI in crop breeding and they have almost reached the plateau and thus other potential trait for yield improvement is through improving RUE. Currently, RUE on an average in crops varies from 2 to 3% and there is large scope for unleashing this trait in crop improvement. RUE varies from species to species, crop to crop and it is lower in C3 crops than in C4 crops. RUE is influenced by radiation interception, which is further influenced by incoming radiation and the traits that contributes to photosynthesis. Having in-depth knowledge on quantification of RUE and the approaches for improving this trait is very much essential for harnessing its potential in crop breeding programmes. However, the availability of these comprehensive information on RUE is still scanty. Hence, the present review focus on reporting various low and high throughput phenotyping techniques for RUE including hyperspectral imaging, drones equipped with multispectral sensors, and sophisticated data analytics for RUE. These methods enable precise measurement and analysis of plant responses to light, helping researchers to identify genotypic variations in RUE and optimize breeding strategies for improved crop performance. Integrating these innovative approaches enhances our ability to address challenges posed by climate change and improve resource use efficiency in agriculture.