NordPlant

Publications

NordPlant publications 2018-July 2024

[1-42]

References

  1. Alexandersson, E., M. Keinanen, A. Chawade, and K. Himanen, Nordic research infrastructures for plant phenotyping. Agricultural and Food Science, 2018. 27(1): p. 7-16.
  2. Chawade, A., R. Armoniene, G. Berg, G. Brazauskas, G. Frostgard, M. Geleta, A. Gorash, T. Henriksson, K. Himanen, A. Ingver, E. Johansson, L.N. Jorgensen, M. Koppel, R. Koppel, P. Makela, R. Ortiz, W. Podyma, T. Roitsch, A. Ronis, J.T. Svensson, P. Vallenback, and M. Weih, A transnational and holistic breeding approach is needed for sustainable wheat production in the Baltic Sea region. Physiologia Plantarum, 2018. 164(4): p. 442-451.
  3. Koc, A., T. Henriksson, and A. Chawade, Specalyzer-an interactive online tool to analyze spectral reflectance measurements. Peerj, 2018. 6.
  4. Roitsch, T., L. Cabrera-Bosquet, A. Fournier, K. Ghamkhar, J. Jiménez-Berni, F. Pinto, and E.S. Ober, Review: New sensors and data-driven approaches—A path to next generation phenomics. Plant Science, 2019.
  5. Abdi, A.M., N. Boke-Olén, H. Jin, L. Eklundh, T. Tagesson, V. Lehsten, and J. Ardö, First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems. International Journal of Applied Earth Observation and Geoinformation, 2019. 78: p. 249-260.
  6. Bentz, B.J., A.M. Jönsson, M. Schroeder, A. Weed, R.A.I. Wilcke, and K. Larsson, Ips typographus and Dendroctonus ponderosae Models Project Thermal Suitability for Intra- and Inter-Continental Establishment in a Changing Climate. Frontiers in Forests and Global Change, 2019. 2(1).
  7. Chawade, A., J. van Ham, H. Blomquist, O. Bagge, E. Alexandersson, and R. Ortiz, High-Throughput Field-Phenotyping Tools for Plant Breeding and Precision Agriculture. Agronomy-Basel, 2019. 9(5).
  8. Jin, H., A.M. Jönsson, C. Olsson, J. Lindström, P. Jönsson, and L. Eklundh, New satellite-based estimates show significant trends in spring phenology and complex sensitivities to temperature and precipitation at northern European latitudes. International Journal of Biometeorology, 2019. 63(6): p. 763-775.
  9. Lagergren, F., A.M. Jönsson, H. Linderson, and A. Lindroth, Time shift between net and gross CO2 uptake and growth derived from tree rings in pine and spruce. Trees, 2019. 33(3): p. 765-776.
  10. Pavicic, M., F. Wang, K. Mouhu, and K. Himanen, High throughput in vitro seed germination screen identified new ABA responsive RING-type ubiquitin E3 ligases in Arabidopsis thaliana. Plant Cell, Tissue and Organ Culture (PCTOC), 2019. 139(3): p. 563-575.
  11. Reynolds, D., F. Baret, C. Welcker, A. Bostrom, J. Ball, F. Cellini, A. Lorence, A. Chawade, M. Khafif, K. Noshita, M. Mueller-Linow, J. Zhou, and F. Tardieu, What is cost-efficient phenotyping? Optimizing costs for different scenarios. Plant Science, 2019. 282: p. 14-22.
  12. Svystun, T., R.P. Bhalerao, and A.M. Jönsson, Modelling Populus autumn phenology: The importance of temperature and photoperiod. Agricultural and Forest Meteorology, 2019. 271: p. 346-354.
  13. Hupp, S., M. Rosenkranz, K. Bonfig, C. Pandey, and T. Roitsch, Noninvasive Phenotyping of Plant–Pathogen Interaction: Consecutive In Situ Imaging of Fluorescing Pseudomonas syringae, Plant Phenolic Fluorescence, and Chlorophyll Fluorescence in Arabidopsis Leaves. Frontiers in Plant Science, 2019. 10: p. 1239.
  14. Akhtar, S.S., M.F. Mekureyaw, C. Pandey, and T. Roitsch, Role of Cytokinins for Interactions of Plants With Microbial Pathogens and Pest Insects. Frontiers in Plant Science, 2020. 10: p. 1777.
  15. Fox, N. and A.M. Jönsson, Climate effects on the onset of flowering in the United Kingdom. Environmental Sciences Europe, 2019. 31(1): p. 89.
  16. Kumar, D., S. Kushwaha, C. Delvento, Ž. Liatukas, V. Vivekanand, J.T. Svensson, T. Henriksson, G. Brazauskas, and A. Chawade, Affordable Phenotyping of Winter Wheat under Field and Controlled Conditions for Drought Tolerance. Agronomy, 2020. 10(6).
  17. Gao, J., J.C. Westergaard, E.H.R. Sundmark, M. Bagge, E. Liljeroth, and E. Alexandersson, Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems, 2021. 214: p. 106723.
  18. Molmann, J.A.B., S. Dalmannsdottir, A.L. Hykkerud, T. Hytonen, A. Samkumar, and L. Jaakola, Influence of Arctic light conditions on crop production and quality. Physiol Plant, 2021. 172(4): p. 1931-1940.
  19. Karppinen, K., D.J. Lafferty, N.W. Albert, N. Mikkola, T. McGhie, A.C. Allan, B.M. Afzal, H. Haggman, R.V. Espley, and L. Jaakola, MYBA and MYBPA transcription factors co-regulate anthocyanin biosynthesis in blue-coloured berries. New Phytol, 2021. 232(3): p. 1350-1367.
  20. Pandey, C., D.K. Großkinsky, J.C. Westergaard, H.J.L. Jørgensen, J. Svensgaard, S. Christensen, A. Schulz, and T. Roitsch, Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping. Plant Science, 2021. 313: p. 111072.
  21. Gao, J., J.C. Westergaard, and E. Alexandersson, Computer Vision and Less Complex Image Analyses to Monitor Potato Traits in Fields. Methods Mol Biol, 2021. 2354: p. 273-299.
  22. Olsson, P.-O., A. Vivekar, K. Adler, V.E. Garcia Millan, A. Koc, M. Alamrani, and L. Eklundh, Radiometric Correction of Multispectral UAS Images: Evaluating the Accuracy of the Parrot Sequoia Camera and Sunshine Sensor. Remote Sensing, 2021. 13(4).
  23. Kelly, J., N. Kljun, L. Eklundh, L. Klemedtsson, B. Liljebladh, P.-O. Olsson, P. Weslien, and X. Xie, Modelling and upscaling ecosystem respiration using thermal cameras and UAVs: Application to a peatland during and after a hot drought. Agricultural and Forest Meteorology, 2021. 300: p. 108330.
  24. Kelly, J., N. Kljun, P.-O. Olsson, L. Mihai, B. Liljeblad, P. Weslien, L. Klemedtsson, and L. Eklundh, Challenges and Best Practices for Deriving Temperature Data from an Uncalibrated UAV Thermal Infrared Camera. Remote Sensing, 2019. 11(5).
  25. Thapa, S., V.E. Garcia Millan, and L. Eklundh, Assessing Forest Phenology: A Multi-Scale Comparison of Near-Surface (UAV, Spectral Reflectance Sensor, PhenoCam) and Satellite (MODIS, Sentinel-2) Remote Sensing. Remote Sensing, 2021. 13(8).
  26. Samkumar, A., D. Jones, K. Karppinen, A.P. Dare, N. Sipari, R.V. Espley, I. Martinussen, and L. Jaakola, Red and blue light treatments of ripening bilberry fruits reveal differences in signalling through abscisic acid-regulated anthocyanin biosynthesis. Plant Cell Environ, 2021. 44(10): p. 3227-3245.
  27. Pavicic, M., K. Overmyer, A.U. Rehman, P. Jones, D. Jacobson, and K. Himanen, Image-Based Methods to Score Fungal Pathogen Symptom Progression and Severity in Excised Arabidopsis Leaves. Plants (Basel), 2021. 10(1).
  28. Trivedi, P., L. Klavins, A.L. Hykkerud, J. Kviesis, D. Elferts, I. Martinussen, M. Klavins, K. Karppinen, H. Häggman, and L. Jaakola, Temperature has a major effect on the cuticular wax composition of bilberry (Vaccinium myrtillus L.) fruit. Frontiers in Plant Science, 2022. 13.
  29. Samkumar, A., K. Karppinen, T.K. McGhie, R.V. Espley, I. Martinussen, and L. Jaakola, Flavonoid biosynthesis is differentially altered in detached and attached ripening bilberries in response to spectral light quality. Frontiers in Plant Science, 2022. 13.
  30. Roitsch, T., K. Himanen, A. Chawade, L. Jaakola, A. Nehe, and E. Alexandersson, Functional phenomics for improved climate resilience in Nordic agriculture. Journal of Experimental Botany, 2022. 73(15): p. 5111-5127.
  31. Pollari, M., N. Sipari, S. Poque, K. Himanen, and K. Mäkinen Effects of Poty-Potexvirus Synergism on Growth, Photosynthesis and Metabolite Status of Nicotiana benthamiana. Viruses, 2023. 15, DOI: 10.3390/v15010121.
  32. Jammer, A., S.S. Akhtar, D.B. Amby, C. Pandey, M.F. Mekureyaw, F. Bak, P.M. Roth, and T. Roitsch, Enzyme activity profiling for physiological phenotyping within functional phenomics: plant growth and stress responses. Journal of Experimental Botany, 2022. 73(15): p. 5170-5198.
  33. Pottier, D., T. Roitsch, and S. Persson, Cell wall regulation by carbon allocation and sugar signaling. The Cell Surface, 2023. 9: p. 100096.
  34. Qi, C., M. Sandroni, J. Cairo Westergaard, E. Høegh Riis Sundmark, M. Bagge, E. Alexandersson, and J. Gao, In-field classification of the asymptomatic biotrophic phase of potato late blight based on deep learning and proximal hyperspectral imaging. Computers and Electronics in Agriculture, 2023. 205: p. 107585.
  35. Faehn, C., M. Reichelt, A. Mithofer, T. Hytonen, J. Molmann, and L. Jaakola, Acclimation of circadian rhythms in woodland strawberries (Fragaria vesca L.) to Arctic and mid-latitude photoperiods. BMC Plant Biol, 2023. 23(1): p. 483.
  36. Amundsen, M., L. Jaakola, K. Aaby, I. Martinussen, N. Kelanne, S. Tuominen, O. Laaksonen, B. Yang, and A.L. Hykkerud, Effect of ripening temperature on the chemical composition of lingonberries (Vaccinium vitis-idaea L.) of northern and southern origin. Food Res Int, 2023. 167: p. 112738.
  37. Pavicic, M., K. Mouhu, J. Hautsalo, D. Jacobson, M. Jalli, and K. Himanen, Image-based time series analysis to establish differential disease progression for two Fusarium head blight pathogens in oat spikelets with variable resistance. Front Plant Sci, 2023. 14: p. 1126717.
  38. Leiva, F., R. Dhakal, K. Himanen, R. Ortiz, and A. Chawade, The Combination of Low-Cost, Red-Green-Blue (RGB) Image Analysis and Machine Learning to Screen for Barley Plant Resistance to Net Blotch. Plants (Basel), 2024. 13(7).
  39. Bouras, E., P.O. Olsson, S. Thapa, J.M. Díaz, J. Albertsson, and L. Eklundh, Wheat Yield Estimation at High Spatial Resolution through the Assimilation of Sentinel-2 Data into a Crop Growth Model. Remote Sensing, 2023. 15(18).
  40. Abdelghafour, F., S.R. Sivarajan, I. Abdelmeguid, M. Ryckewaert, J.M. Roger, R. Bendoula, and E. Alexandersson, Including measurement effects and temporal variations in VIS-NIRS models to improve early detection of plant disease: Application to in potatoes. Computers and Electronics in Agriculture, 2023. 211.
  41. Resjo, S., J. Willforss, A. Large, V. Siino, E. Alexandersson, F. Levander, and E. Andreasson, Comparative proteomic analyses of potato leaves from field-grown plants grown under extremely long days. Plant Physiol Biochem, 2024. 215: p. 109032.
  42. Ramšak, Ž., R.S. Sajeevan, and E. Alexandersson, Trends and Emerging Methods in Potato -Omics, in Approaches for Potato Crop Improvement and Stress Management, S.M.P. Khurana, J.E. Bradshaw, and V. Bhardwaj, Editors. 2024, Springer Nature Singapore: Singapore. p. 67-98.