Foliar hyperspectral identification of butternut canker infection in pure and hybridized butternut (Juglans cinerea)

被引:0
|
作者
Joll, Elisabeth [1 ]
Ebrahimi, Aziz [1 ]
Conrad, Anna [2 ]
Jacobs, Doug [1 ]
Couture, John [1 ,3 ]
机构
[1] Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA
[2] US Forest Serv, USDA, Northern Res Stn, Washington, DC 20250 USA
[3] Purdue Univ, Dept Entomol, W Lafayette, IN 47907 USA
来源
PROCEEDINGS OF 2023 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY, METROAGRIFOR | 2023年
关键词
Butternut; butternut canker disease; disease detection; hybrids; spectroscopy; SPECTROSCOPY; CANOPIES; FORESTS;
D O I
10.1109/MetroAgriFor58484.2023.10424124
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Forests globally are threatened by native and non-native pathogens and pests. Butternut (Juglans cinerea L.) is a hardwood tree species native to North America that currently faces population declines due to butternut canker disease (BCD) by the non-native causal fungus Ophiognomonia clavigignenti-juglandacearum. Developing approaches to detect the presence of BCD in butternut and distinguishing between butternut and hybridized trees will be crucial for accelerating a butternut BCD-resistance breeding program. We found shifts in spectral profiles that were related to disease and species, but that spectral separation of disease presence was similar across species. These findings suggest the capability of foliar hyperspectral data to aid in disease detection in an endangered tree species with significant implications for developing high throughput breeding approaches.
引用
收藏
页码:847 / 850
页数:4
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