Uncovering the history of recombination and population structure in western Canadian stripe rust populations through mating type alleles.

Background: The population structure of crop pathogens such as Puccinia striiformis f. sp. tritici (Pst), the cause of wheat stripe rust, is of interest to researchers looking to understand these pathogens on a molecular level as well as those with an applied focus such as disease epidemiology.

First report of causing Fusarium Head Blight (FHB) of wheat and barley in Lower Mainland of British Columbia, Canada.

Fusarium head blight (FHB), predominantly caused by is one of the most economically important fungal diseases of small-grain cereals. Since the early 1990s, FHB has been a devastating wheat disease in parts of Canada and the United States, causing significant economic impacts on the cereal grain industry through reduced seed quality and yield, and grain contamination with fungal toxins (Brar et al. 2019).

First Report of Bacterial Leaf Streak of Barley () Caused by pv. in British Columbia, Canada.

Bacterial leaf streak (BLS) of barley is caused by the Gram-negative bacterial pathogen Xanthomonas translucens (Sapkota et al. 2020). In 2021, we observed multiple hill plots with BLS symptomatic plants in a barley stripe rust nursery in Vancouver, BC, Canada.

Detection and Identification of a ' Liberibacter solanacearum' Species from Ash Tree Infesting Psyllids.

' Liberibacter' species are associated with severe, economically important diseases. Nearly all known species are putatively insect transmitted, specifically by psyllids. Detection of ' Liberibacter' in plants is complicated by their uneven distribution in host plants and largely fastidius nature.

High throughput nutritional profiling of pea seeds using Fourier transform mid-infrared spectroscopy.

Seed samples from 117 genetically diverse pea breeding lines were used to determine the robustness of Fourier transform mid-infrared spectroscopy (FT-MIR) for the rapid nutritional profiling of seeds. The FT-MIR results were compared to wet chemistry methods for assessing the concentrations of total protein, starch, fiber, phytic acid, and carotenoids in pea seed samples. Of the five partial least square regression models (PLSR) developed, protein, fiber and phytic acid concentrations predicted by the models exhibited correlation coefficients greater than 0.