With technologies such as non-destructive NIR, image recognition, and various biochemical analysis we can screen our population for desirable traits such as protein content, oil content, beta-glucan content, arabinoxylan content, avenanthramides, kernel size, thousand kernel weight, and much more. In greenhouses and climate chambers we can create controlled experiments to record high-resolution comparative data, whereas our yearly field trails at multiple locations provide us with real world performance data for important agronomical variables such as yield, height, uniformity, early maturity, and nematode, mycotoxin and disease resistance. We collect both quantitative and qualitative data in the field by direct observation as well as by analysis of drone data and environmental data collected by in-field sensors.
CropTailor’s mutant population, and related work, has featured in a number of peer reviewed journals, university reports, master’s theses, and other academic papers and conferences - a selection of these are listed below.
Academic research output (since 2010)
Chawade , A., Sikora, P., Bräutigam, M., Larsson, M., Vivekanand, V., All Nakash, M., Chen, T. and Olsson, O. (2010). Development and characterization of an oat TILLING-population and identification of mutations in lignin and β-glucan biosynthesis genes. BMC Plant Biology, 10:8.
Sikora, P., Chawade, A., Larsson, M., Olsson, J. and Olof Olsson. (2011). Mutagenesis as a tool in plant genetics, functional genomics and breeding. International Journal of Plant Genomics. Article ID 314829.
Chawade, A., Lindén, P., Bräutigam, B., Johnsson, R., Jonsson, A., Moritz, T. and Olsson, O. (2012). Development of a model system to identify differences in spring and winter oat. PLoS ONE 7, e29792.
Sikora, P., Tosh, S.M., Brummer, Y. and Olsson, O. (2013). Identification of high β-glucan oat lines and localization and chemical characterization of their seed kernel β-glucans. Food Chemistry 137, 83-91.
Chawade, A., Lindlöf A., Olsson B., and Olsson, O. (2013). Global expression profiling of low temperature induced genes in the chilling tolerant japonica rice Jumli Marshi. PLoS ONE 8(12): e81729.
Vivekanande, V., Chawade, A., Larsson, M., Larsson, A. and Olsson, O. (2014). Identification and qualitative characterization of high and low lignin lines from an oat TILLING population. Industrial Crops and Products 59, 1-8.
Lindlöf A, Chawade A, Sikora P, Olsson O (2015) Comparative Transcriptomics of Sijung and Jumli Marshi Rice during Early Chilling Stress Imply Multiple Protective Mechanisms. PLoS ONE 10(5): e0125385. doi:10.1371/journal.pone.0125385
Olsson, O., Hansson, A., Johansson, H. O., Lethin, J., Leonova, S., Ren, Y., ... & Öste, R. (2016). Oat-a crop full of possibilities. In The 10th International Oat Conference: Innovation for Food and Health (pp. 46-46).
Sunilkumar, B. A., & Tareke, E. (2016). Identification of discrepancies in grain quality and grain protein composition through avenin proteins of oat after an effort to increase protein content. Agriculture & Food Security, 5(1), 1-6.
Sunilkumar, B., Leonova, S., Öste, R. And Olsson, O. (2017). Identification and characterization of high protein oat lines from a mutagenized oat population. J. Cereal Sci. 75, 100-107
Andersson, K.E., Chawade, A., Thuresson, N., Rascon, A., Öste, R., Sterner, O., Olsson, O. and Hellstrand, P. (2017). Wholegrain oat diet studies change the expression of genes associated with intestinal bile transport. Molecular Nutrition and Food Research 61: 1600874
Sirijovski, N., & Olsson, O. (2018, January). Plans for a Hexaploid Oat Genome, and Beyond. In Plant and Animal Genome XXVI Conference (January 13-17, 2018). PAG.
Willforss, J., Leonova, S., Tillander, J., Andreasson, E., Marttila, S., Olsson, O., ... & Levander, F. (2020). Interactive proteogenomic exploration of response to Fusarium head blight in oat varieties with different resistance. Journal of Proteomics, 218, 103688.
Szewczyk, M. (2020). Characterization of globulin and avenin protein profiles in oat (Avena sativa) using Osborne fractionation and novel genomic data. ScanOats, Lund University.
Frisell, D. (2020). Elucidating arabinoxylan biosynthesis pathways in oat and identification of high arabinoxylan oat lines. ScanOats, Lund University.
Thyagarajan, A. (2021). Determination of total dietary fibers and location of AX in oat. ScanOats, Lund University.
Andréasson, A., & Myhrman, L. (2021). Key factors when going to market: A multi-perspective study of a novel oat-based compound's potential to go to market. ScanOats, Lund University.
Hernandez-Hernandez, O., Pereira-Caro, G., Borges, G., Crozier, A., & Olsson, O. (2021). Characterization and antioxidant activity of avenanthramides from selected oat lines developed by mutagenesis technique. Food chemistry, 343, 128408.
Kamal, N., Tsardakas Renhuldt, N., Bentzer, J., Gundlach, H., Haberer, G., Juhász, A., ... & Sirijovski, N. (2022). The mosaic oat genome gives insights into a uniquely healthy cereal crop. Nature, 606(7912), 113-119.
Tinker, N. A., Wight, C. P., Bekele, W. A., Yan, W., Jellen, E. N., Renhuldt, N. T., ... & Mascher, M. (2022). Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement. Communications biology, 5(1), 1-11.
Majumdar, A. (2022). Molecular Characterization of High B-Glucan Lines in Oats. ScanOats, Lund University.