Assessment of stress resistance of wheat varieties based on the cluster analysis of biopotential parameters

Abstract

Abstract Resistance of three wheat varieties (Omskaya 18, Novosibirskaya 18, and Novosibirskaya 44) to temperature stress was explored. Seven - and 14-day old seedlings were subjected to heat and cold stress and biopotential signals were recorded. As a preliminary evaluation step, the signals were processed using a MatLab platform. Specifically, raw signal was passed through low-frequency nonrecursive filters, which was followed by signal centering to remove the baseline component as well as by temperature-dependent signal normalization. Filtered signal was then differentiated and this differential signal was subjected to centering and normalization. Each of these implementations were used to calculate minimum, maximum, and average biopotential values. The data obtained formed three pairwise groups displaying variety-specific trait clustering. Our results indicate that biopotential parameters collected from wheat seedlings can be used to reliably identify and group together the plants that share the same variety traits.