RGB 컬러 이미지를 이용한 국산밀 품종 내한성 간이 평가
Assessment of Cold Tolerance Traits of Wheat Cultivars using RGB Images
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초록
Low-temperature damage at the seedling stage is one of the most significant natural obstacles to wheat’s growth. In domestic wheatbreeding programs, the selection of cold-tolerant varieties is crucial for the development of superior wheat varieties. Traditionally, the extentof damage caused by freezing wheat is estimated through visual observation. In this study, we compared the RGB image analysis methodwith conventional visual evaluation and chlorophyll content analysis methods to determine if this method could accurately quantify the coldtolerance discrimination of wheat in the field. First, single-leaf-level RGB image analysis revealed a pattern similar to dead leaf ratio andchlorophyll content in three grades of freezing injury. Next, we compared the significance of plant-level RGB image analysis. The greennessindex by RGB image analysis showed a higher correlation with dead leaf ratio by visual evaluation. Finally, 40 wheat varieties were plantedin the field and wheat canopy images were collected at the seedling stage after wintering. There was a high correlation between the greennessindex and the visual evaluation. However, there was no correlation between dead leaf ratio and visual evaluation or greenness index as determinedby RGB image analysis. These findings suggest that using RGB image analysis rather than visual evaluation can be useful in assessing freezedamage in wheat fields.
Abstract
Low-temperature damage at the seedling stage is one of the most significant natural obstacles to wheat’s growth. In domestic wheatbreeding programs, the selection of cold-tolerant varieties is crucial for the development of superior wheat varieties. Traditionally, the extentof damage caused by freezing wheat is estimated through visual observation. In this study, we compared the RGB image analysis methodwith conventional visual evaluation and chlorophyll content analysis methods to determine if this method could accurately quantify the coldtolerance discrimination of wheat in the field. First, single-leaf-level RGB image analysis revealed a pattern similar to dead leaf ratio andchlorophyll content in three grades of freezing injury. Next, we compared the significance of plant-level RGB image analysis. The greennessindex by RGB image analysis showed a higher correlation with dead leaf ratio by visual evaluation. Finally, 40 wheat varieties were plantedin the field and wheat canopy images were collected at the seedling stage after wintering. There was a high correlation between the greennessindex and the visual evaluation. However, there was no correlation between dead leaf ratio and visual evaluation or greenness index as determinedby RGB image analysis. These findings suggest that using RGB image analysis rather than visual evaluation can be useful in assessing freezedamage in wheat fields.
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