Abstract

Yellow Dwarf Viruses (YDV) spread by aphids are some of the most economically important barley (Hordeum vulgare L.) virus-vector complexes worldwide. Detection and control of these viruses are critical components in the production of barley, wheat, and numerous other grasses of agricultural importance. Genetic control of plant diseases is often preferable to chemical control to reduce the epidemiological, environmental, and economic cost of foliar insecticides. Accordingly, the objectives of this work were to I) screen a barley population for resistance to YDV under natural infection using phenotypic assessment of disease symptoms, II) implement drone imagery to further assess resistance and test its utility as a disease screening tool, III) identify the prevailing virus and vector types in the experimental environment, and IV) perform a genome-wide association study to identify genomic regions associated with measured traits. Significant genetic differences were found in a population of 192 barley inbred lines regarding their YDV symptom severity and symptoms were moderately to highly correlated with grain yield. The severity of YDV measured with aerial imaging was highly correlated with on-the-ground estimates (r=0.65). Three aphid species vectoring three YDV species were identified with no apparent genotypic influence on their distribution. A QTL impacting YDV resistance was detected on chromosome 2H, albeit undetected using aerial imaging. However, QTL for canopy cover and mean NDVI were successfully mapped using the drone. This work provides a framework for utilizing drone imagery in future resistance breeding efforts for YDV in cereals and grasses, and in other virus-vector disease complexes.

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