Development of a new evaluation method for individual selection in grass breeding with Unmanned Aerial Vehicle (UAV) and image analysis
2019
Akiyama, Y. (Hokkaido Agricultural Research Center, NARO, Sapporo, Hokkaido (Japan)) | Kubota, A. | Fujimori, M. | Sanada, Y.
We utilized Unmanned Aerial Vehicle (UAV) and image analysis to develop an effective and objective evaluation method for individual plant/plot selections in a grass breeding program. Using an established orchardgrass field nursery, we compared a professional breeder's rating of individual plant canopies with Green Red Vegetation Indexes (GRVI) obtained from a UAV. Correlation was high (r = 0.80) between the two rating systems. In additional rating comparison experiments using orchardgrass and Italian ryegrass, correlations between breeder's scores and GRVI remained high (r = 0.80 and 0.76). Correlations were not affected due to sunny weather or when images were captured from 20 to 100 m. These results indicate that GRVI is a useful index in a grass breeding program.
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