Page 205 - PC2019 Program & Proceedings
P. 205

PLANT CANADA 2019

               S195. The effect of urbanization on the evolution of floral traits in the wildflower Linaria vulgaris
                          *
               Longley, A. ; C. Caruso
               University of Guelph

               Urbanization-induced changes to the biotic environment may cause divergent evolution between urban
               and rural plant populations. One such environmental change is decreased pollinator activity, which can
               increase competition for visitation from pollinators, resulting in natural selection for more attractive floral
               traits. To test whether urbanization could affect floral evolution, we measured natural selection on floral
               traits of the wildflower Linaria vulgaris in urban and rural populations. We did not find evidence that
               urbanization intensified selection on floral traits: there was significant selection via seeds/fruit on landing
               pad width, landing pad length, and inflorescence size in at least one population, but selection did not
               differ between urban and rural L. vulgaris populations. However, we did find that mean floral traits
               differed between urban and rural populations. Relative to rural populations, plants from urban populations
               had 12.3% wider landing pads, 6.4% longer landing pads, and 11.8% longer nectar spurs. This suggests
               that urban populations have already evolved more attractive floral traits than rural populations in response
               to increased competition for pollination. However, considering the lack of studies looking at the effects of
               urbanization on phenotypic evolution, more research is required to determine whether his trend is
               consistent along other urban to rural gradients.

               Ariana Longley (alongley@uoguelph.ca)




               S196. Monitoring airborne ascospores for the management of white mould (Sclerotinia
               sclerotiroum) in dry bean across Canada
                                                                 3
                                                    2
               Reich, J. ; U. Karerwa ; S. Chatterton ; M. Harding
                                     2
                        *1
               1 University of British Columbia
               2 Agriculture and Agri-Food Canada
               3 Agriculture and Forestry
               White mould, caused by the fungal pathogen Sclerotinia sclerotiroum Lib. (de Bary), is an economically
               important disease of dry bean (Phaseolus vulgaris L.) in the Canadian Prairies. Monitoring the daily
               aerial ascospore concentrations of S. sclerotiorum could provide better management of the disease. To
               determine the best sampling locations for capturing ascospores, nine Burkard 7-day volumetric spore
               samplers were placed in three bean fields in southern Alberta in 2018. In addition, air samples were
               collected from a potato late blight monitoring network in the same regions. Daily samples were deposited
               into 1.5 mL vials, from which DNA was extracted and ascospores were quantified using species-specific
               primers in a qPCR assay. Correlations of the ascospores quantified from samplers within the same field
               ranged from not significant to moderate (r = 0.35, p < 0.01), suggesting that a single sampler could suffice
               for sampling a single field. Disease incidence within the same fields ranged from very low (seasonal
               maximum of 3%) to moderate (seasonal maximum of 25%) under similar ascospore loads, which
               highlights the importance of management practices in the prevention of white mould. No ascospores were
               detected from the potato late blight monitoring stations. This project will continue for the next 3 years and
               will be extended to bean fields in ON and MB to develop a prediction model for white mould.

               Jonathan Reich (jonathandreich@gmail.com)









                                                       Page 203 of 339
   200   201   202   203   204   205   206   207   208   209   210