Page 179 - PC2019 Program & Proceedings
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PLANT CANADA 2019

               S143. Identification of differentially-expressed genes involved in seed protein content in soybean
               (Glycine Max) grown In Western Vs. Eastern Canada
                                      2
                        *1
                                                         2
                                                                     2
               Jahid, B. ; B. Samanfar ; E. Cober ; L. Tan ; D. Luckert ; A. Golshani
                                                 3
                                                                                  1
                                   2
               1 Carleton University;  Agriculture and Agri-Food Canada;  AAFC Ottawa-RDC
                                                                    3

               Soybean (Glycine max) is a legume grown for its protein-rich seeds and is the fourth largest crop in
               Canada. Soybean is widely grown in Eastern Canada, however, growing soybean in Western provinces
               has many issues mainly a lower seed protein content. Previous researches investigated the role of
               environmental stresses like drought and salt on gene expression, however, the role of the Western
               Canadian environment in regulating genes involved in economically important traits such as seed protein
               content is not well understood. Therefore, there is a need to develop high seed-protein varieties of
               soybean that are tailored for the different environments of  Western/Northern Canada. Using RNA-
               Sequencing (transcriptome-wide approach) we will attempt to identify  differentially-expressed genes
               involved in seed protein content in response to Western Canadian environment. RNA sequencing has
               been performed at an average of ~18-25 million base reads-depth for each of the 90 samples to detect
               genes with differential expression frequency

               Our preliminary data analysis has identified a list of genes/isoforms expressed differently in Western
               Canada involved in seed protein content and seed oil content. Further follow-up experiments including
               co-expression network analysis, QTL mining for the candidate genes etc., are underway to shed more
               light into differential expression of the selected candidate genes and to develop allele-specific markers.


               Babur Jahid (babur.jahid@carleton.ca)



               S144. Climate and daylength influence on soybean phenology in Manitoba and Ontario
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               Ort, N. ; M. Morrison ; E. Cober ; D. McAndrew ; Y. Lawley
                      *1
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               1 University of Manitoba;  Agriculture and Agri-Food Canada;  AAFC Ottawa-RDC
               The development of short season soybean [Glycine max (L.) Merr.] cultivars has allowed Manitoba
               soybean production to increase. In 2018, soybean occupied 19% of the province’s cropland with over 1.8
               million acres planted. Manitoba has longer summer days and lower average daily temperature than
               traditional soybean growing regions of North America. Paired field experiments in 2008-2010 were done
               to evaluate the influence of climate and daylength on the phenological development of ten soybean
               cultivars in Morden (49.2°N) and Ottawa (45.4°N). The experiment was then repeated in Carman
               (49.5°N) and Ottawa, in 2017 and 2018. Soybean cultivars were selected to represent maturity groups 000
               to 1. Growth stages were recorded multiple times a week and paired with daily weather data. In Manitoba,
               longer days resulted in an 8% longer vegetative period which led to shorter reproductive and seed filling
               period compared to Ottawa. Furthermore, the same soybean cultivars required different amounts of crop
               heat units to reach critical growth stages, and ultimately harvest maturity between the two locations for all
               maturity groups tested. Phenology and climate data will be used to develop a growth stage predictive
               model for soybean in Manitoba.

               Nathaniel Ort (ortn@myumanitoba.ca)











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