| Autor: |
Cho JY; Smart Farm Research Center, Korea Institute of Science and Technology (KIST), Gangneung, Gangwon 25451, Republic of Korea., Ryu DH; Smart Farm Research Center, Korea Institute of Science and Technology (KIST), Gangneung, Gangwon 25451, Republic of Korea., Hamayun M; Smart Farm Research Center, Korea Institute of Science and Technology (KIST), Gangneung, Gangwon 25451, Republic of Korea.; Department of Botany, Garden Campus, Abdul Wali Khan University Mardan, Nowshera Mardan Rd, Mardan 23200, Pakistan., Lee SH; Department of southern area crop science, National institute of crop science, Rural development administration, Miryang, Gyeongnam 50424, Republic of Korea., Jung JH; Division of Biotechnology, College of Life Sciences & Biotechnology, Korea University, Seoul 02841, Republic of Korea., Kim HY; Smart Farm Research Center, Korea Institute of Science and Technology (KIST), Gangneung, Gangwon 25451, Republic of Korea.; Natural Product Applied Science, KIST school, University of Science and Technology (UST), Gangneung, Gangwon 25451, Republic of Korea. |
| Abstrakt: |
The primary cannabinoids cannabidiol (CBD) and tetrahydrocannabinol (THC), found in cannabis, are known to originate from genetic diversity, resulting in distinct characteristics. This study aimed to identify VOC markers to distinguish between higher CBD and THC cannabis cultivars under field conditions. Among the 58 VOCs, β-caryophyllene and α-humulene were primary VOCs across all cannabis cultivars. Intriguingly, certain terpene VOCs exhibited contrasting trends between higher CBD and higher THC cannabis cultivars. Eudesma-3,7(11)-diene and α-guaiol consistently appeared as highlighted compounds, suggesting their potential to distinguish between higher CBD and THC cannabis cultivars. ROC curve analysis revealed approximately 94% predictive accuracy for these putative markers. Given the current focus on VOCs as sensor markers for plant health, growth, and quality, the identified VOC markers─applicable across varieties and growth stages─could enable nondestructive, rapid, and accurate identification of CBD- and THC-rich cannabis species in field conditions. |
