Publications

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Last updated 25th February 2024

2024

1.     Colombi, T., Pandey, B. K., Chawade, A., Mooney, S. J., Keller, T., & Bennett, M. J. (2024). Root plasticity versus elasticity – when are responses acclimative? Trends in Plant Science, (in press), 1–9. https://doi.org/10.1016/j.tplants.2024.01.003

2.     Leiva, F., Abdelghafour, F., Alsheikh, M., Nagy, N. E., Davik, J., & Chawade, A. (2024). ScabyNet, a user-friendly application for detecting common scab in potato tubers using deep learning and morphological traits. Scientific Reports, 14(1), 1277. https://doi.org/10.1038/s41598-023-51074-4

3.     Lan, Y., Kuktaite, R., Chawade, A., & Johansson, E. (2024). Chasing high and stable wheat grain mineral content: Mining diverse spring genotypes under induced drought stress. PLOS ONE, 19(2), e0298350. https://doi.org/10.1371/journal.pone.0298350

4.     Ohm H., Åstrand J., Ceplitis A., Bengtsson D., Hammenhag, C., Chawade A., Grimberg Å. (2024) Novel SNP markers for flowering and seed quality traits in faba bean (Vicia faba L.): Characterization and GWAS of a diversity panel. Frontiers in Plant Science, 15 (accepted). https://doi.org/10.3389/fpls.2024.1348014

5.     Upadhyay, A., Upadhyay, A., Sarangi, P. K., Chawade, A., Pareek, N., Tripathi, D., & Vivekanand, V. (2024). Machine learning approach for microbial growth kinetics analysis of acetic acid-producing bacteria isolated from organic waste. Biochemical Engineering Journal, 202, 109164. https://doi.org/10.1016/j.bej.2023.109164

2023

1.   Alemu, A., Batista, L., Singh, P. K., Ceplitis, A., & Chawade, A. (2023). Haplotype-tagged SNPs improve genomic prediction accuracy for Fusarium head blight resistance and yield-related traits in wheat. Theoretical and Applied Genetics, 136(4), 92. https://doi.org/10.1007/s00122-023-04352-8

2.   Zakieh, M., Alemu, A., Henriksson, T., Pareek, N., Singh, P. K., & Chawade, A. (2023). Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat. Scientific Reports, 13(1), 15651. https://doi.org/10.1038/s41598-023-42856-x.

3.     Thuraga, V., Martinsson, U. D., Vetukuri, R. R., & Chawade, A. (2023). Delineation of Genotype X Environment Interaction for Grain Yield in Spring Barley under Untreated and Fungicide-Treated Environments. Plants, 12(4), 715. https://doi.org/10.3390/plants12040715

4.   Nehe, A., Martinsson, U. D., Johansson, E., & Chawade, A. (2023). Genotype and environment interaction study shows fungal diseases and heat stress are detrimental to spring wheat production in Sweden. PLOS ONE, 18(5), e0285565. https://doi.org/10.1371/journal.pone.0285565 Rank 10

5.     Vaitkevičiūtė, G., Chawade, A., Lillemo, M., Liatukas, Ž., Aleliūnas, A., & Armonienė, R. (2023). Genome-Wide Association Analysis of Freezing Tolerance and Winter Hardiness in Winter Wheat of Nordic Origin. Plants, 12(23), 4014. https://doi.org/10.3390/plants12234014

6.     Upadhyay, A., Chawade, A., Ikram, M. M., Saharan, V. K., Pareek, N., & Vivekanand, V. (2023). Biogas Upgradation by CO2 Sequestration and Simultaneous Production of Acetic Acid by Novel Isolated Bacteria. Processes, 11(11), 3163. https://doi.org/10.3390/pr11113163

7.     Meena, M., Kumar, H., Chaturvedi, N. D., Kovalev, A. A., Bolshev, V., Kovalev, D. A., … Panchenko, V. (2023). Biomass Gasification and Applied Intelligent Retrieval in Modeling. Energies, 16(18), 6524. https://doi.org/10.3390/en16186524

8.     Lan, Y., Kuktaite, R., Chawade, A., & Johansson, E. (2023). Diverse wheat lines to mitigate the effect of drought on end-use quality. Frontiers in Food Science and Technology, 3. https://doi.org/10.3389/frfst.2023.1163412

9. Lama, S., Leiva, F., Vallenback, P., Chawade, A., & Kuktaite, R. (2023). Impacts of heat, drought, and combined heat–drought stress on yield, phenotypic traits, and gluten protein traits: capturing stability of spring wheat in excessive environments. Frontiers in Plant Science, 14. https://doi.org/10.3389/fpls.2023.1179701

10. Maurya, N. S., Kushwah, S., Kushwaha, S., Chawade, A., & Mani, A. (2023). Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta. Scientific Reports, 13(1), 6413. https://doi.org/10.1038/s41598-023-33327-4

11. Kushwah, S., Maurya, N. S., Kushwaha, S., Scotti, L., Chawade, A., & Mani, A. (2023). Herbal Therapeutics for Alzheimer’s Disease: Ancient Indian Medicine System from the Modern Viewpoint. Current Neuropharmacology, 21(4), 764–776. https://doi.org/10.2174/1570159X21666230216094353