Publications
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Malt quality profile of barley predicted by near-infrared spectroscopy using partial least square, Bayesian regression, and artificial neural network models
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Ajayi, O.O., Akinyemi, L., Atanda, S.A., Walling, J.G., Mahalingam, R. 2023. Malt quality profile of barley predicted by near-infrared spectroscopy using partial least square, Bayesian regression, and artificial neural network models. Journal of Chemometrics. e3519: 1-15. http://doi.org/10.1002/cem.3519.
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Registration of Golden Promise/Otis barley recombinant inbred line mapping population
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Bregitzer, P.P., Ajayi, O.O., Esvelt Klos, K.L., Gao, D., Mahalingam, R. 2023. Registration of Golden Promise/Otis barley recombinant inbred line mapping population. Journal of Plant Registrations. 18:197-203. https://doi.org/10.1002/plr2.20337.
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QTL mapping of shoot and seed traits impacted by drought in barley using a recombinant inbred line population
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Ajayi, O.O., Bregitzer, P.P., Esvelt Klos, K.L., Hu, G., Walling, J.G., Mahalingam, R. 2023. QTL mapping of shoot and seed traits impacted by drought in barley using a recombinant inbred line population. BMC Plant Biology. 23. Article 283. https://doi.org/10.1186/s12870-023-04292-x.
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Identification of genomic loci controlling grain macro and micronutrients variation in a Wild Barley (H. vulgare spp spontaneum) Diversity Panel
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Abendroth, J.A., Sallam, A.H., Steffenson, B.J., Vinje, M.A., Mahalingam, R., Walling, J.G. 2022. Identification of genomic loci controlling grain macro and micronutrients variation in a Wild Barley (H. vulgare spp spontaneum) Diversity Panel. Agronomy Journal. 12(11). Article 2839. https://doi.org/10.3390/agronomy12112839.
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Heat and drought induced transcriptomic changes in barley varieties with contrasting stress response phenotypes
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Mahalingam, R., Duhan, N., Kaundal, R., Smertenko, A., Nazarov, T., Bregitzer, P.P. 2022. Heat and drought induced transcriptomic changes in barley varieties with contrasting stress response phenotypes. Frontiers in Plant Science. 13. https://doi.org/10.3389/fpls.2022.1066421.
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Transcriptome analysis of barley lines with contrasting responses to abiotic stresses
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Quantitative trait loci impacting grain beta-glucan content in wild barley (Hordeum vulgare ssp. spontaneum) reveal genes associated with cell wall modification and carbohydrate metabolism
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Walling, J.G., Sallam, A.H., Steffenson, B.J., Henson, C.A., Vinje, M.A., Mahalingam, R. 2022. Quantitative trait loci impacting grain beta-glucan content in wild barley (Hordeum vulgare ssp. spontaneum) reveal genes associated with cell wall modification and carbohydrate metabolism. Crop Science. 62(3):1213-1227. https://doi.org/10.1002/csc2.20734.
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Progress and prospects of concurrent or combined stress studies in plants
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Mahalingam, R., Pandey, P., Senthil-Kumar, M. 2021. Progress and prospects of concurrent or combined stress studies in plants. Annual Plant Reviews. 4(4):813-868. https://doi.org/10.1002/9781119312994.apr0783.
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The barley (Hordeum vulgare ssp. vulgare) Respiratory Burst Oxidase Homolog (HvRBOH) gene family and their plausible role on malting quality
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Mahalingam, R., Graham, D.L., Walling, J.G. 2021. The barley (Hordeum vulgare ssp. vulgare) Respiratory Burst Oxidase Homolog (HvRBOH) gene family and their plausible role on malting quality. Frontiers in Plant Science. 12. Article 608541. https://doi.org/10.3389/fpls.2021.608541.
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Genome-wide association analysis of natural variation in seed tocochromanols of barley
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Mahalingam, R., Sallam, A.H., Steffenson, B.J., Fiedler, J.D., Walling, J.G. 2020. Genome-wide association analysis of natural variation in seed tocochromanols of barley. The Plant Genome. e20039. https://doi.org/10.1002/tpg2.20039.
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Analysis of the barley malt rootlet proteome
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Mahalingam, R. 2019. Analysis of the barley malt rootlet proteome. International Journal of Molecular Sciences. 21(1):179. http://dx.doi.org/10.3390/ijms21010179.
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Genomic survey of RNA recognition motif (RRM) containing RNA binding proteins from barley (Hordeum vulgare ssp. vulgare)
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Mahalingam, R., Walling, J.G. 2019. Genomic survey of RNA recognition motif (RRM) containing RNA binding proteins from barley (Hordeum vulgare ssp. vulgare). Genomics. 112(2):1829-1839. https://doi.org/10.1016/j.ygeno.2019.10.016.
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Impact on physiology and malting quality of barley exposed to heat, drought and their combination during different growth stages under controlled environment
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Mahalingam, R., Bregitzer, P.P. 2019. Impact on physiology and malting quality of barley exposed to heat, drought and their combination during different growth stages under controlled environment. Physiologia Plantarum. 165(2):277-289. https://doi.org/10.1111/ppl.12841
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Temporal analyses of barley malting stages using shot-gun proteomics
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Mahalingam, R. 2018. Temporal analyses of barley malting stages using shot-gun proteomics. Proteomics. http://dx.doi.org/10.1002/pmic.201800025.
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Phenotypic, physiological and malt quality analyses of US barley varieties subjected to short periods of heat and drought stress
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Mahalingam, R. 2017. Phenotypic, physiological and malt quality analyses of US barley varieties subjected to short periods of heat and drought stress. Journal of Cereal Science. 76:199-205. doi: 10.1016/j.jcs.2017.06.007.
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Isolation of polysomal RNA for analyzing stress-responsive genes regulated at the translational level in plants
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Li, Y., Mahalingam, R., Sunkar, R. 2017. Isolation of polysomal RNA for analyzing stress-responsive genes regulated at the translational level in plants. In: Ramanjulu Sunkar, editor. Plant stress tolerance: Methods and Protocols, 2nd edition. Humana Press. p. 151-161.
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Interacting protein partners of Arabidopsis RNA binding protein AtRBP45b
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Muthuramalingam, M., Wang, Y., Li, Y., Mahalingam, R. 2017. Interacting protein partners of Arabidopsis RNA binding protein AtRBP45b. Plant Biology. 19:327-334. doi: 10.111/plb.12540.
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Shotgun proteomics of the barley seed proteome
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Mahalingam, R. 2017. Shotgun proteomics of the barley seed proteome. Biomed Central Genomics. 18:44.
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Plant responses to tropospheric ozone
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Li, Y., Muthuramalingam, M., Mahalingam, R. 2016. Plant responses to tropospheric ozone. In: P.K. Jaiwal, R.P. Singh, O.P. Dhankher, editors. Genetic Manipulation in Plants for Mitigation of Climate Change. Springer Verlag. p. 1-14. doi: 10.1007/978-81-322-2662-8.
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