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Using genomic prediction with crop growth models enables the prediction of associated traits in wheat.
J Exp Bot. 2023 Mar 13;74(5):1389-1402. doi: 10.1093/jxb/erac393.
J Exp Bot. 2023.
PMID: 36205117
Identification of agro-physiological traits of lentil that reduce risks of drought.
Tefera AT, O'Leary GJ, Thayalakumaran T, Rao S, Silva-Perez V, Shunmugam ASK, Armstrong R, Rosewarne GM.
Tefera AT, et al. Among authors: thayalakumaran t.
Front Plant Sci. 2022 Oct 24;13:1019491. doi: 10.3389/fpls.2022.1019491. eCollection 2022.
Front Plant Sci. 2022.
PMID: 36352869
Free PMC article.
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Statistical sampling of missing environmental variables improves biophysical genomic prediction in wheat.
Jighly A, Thayalakumaran T, Kant S, Panozzo J, Aggarwal R, Hessel D, Forrest KL, Technow F, Totir R, Goddard M, Pryce J, Hayden MJ, Munkvold J, O'Leary GJ.
Jighly A, et al. Among authors: thayalakumaran t.
Theor Appl Genet. 2024 Apr 18;137(5):108. doi: 10.1007/s00122-024-04613-0.
Theor Appl Genet. 2024.
PMID: 38637355
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Dissolved Organic Carbon in Groundwater Overlain by Irrigated Sugarcane.
Thayalakumaran T, Lenahan MJ, Bristow KL.
Thayalakumaran T, et al.
Ground Water. 2015 Jul-Aug;53(4):525-30. doi: 10.1111/gwat.12258. Epub 2014 Sep 11.
Ground Water. 2015.
PMID: 25213667
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