Predictive analytics by leveraging big data to predict future outcome.
Implementing genomic selection in Australian sugarcane breeding programs.
More accurate identification of variety candidates for the sugarcane industry.
My origin: India
Languages I speak: Hindi, Punjabi, English, German [beginner]
Master of Maths, KUK, India
Master of Statistics, UPLB, Philippines
Registration scholarship – in silico Plant’s PlantBio21
Prof. Ben Hayes
Dr Elizabeth Ross
Dr Owen Powell
Assoc. Prof. Lee Hickey
Dr Kai Voss-Fels
Yadav S, Jackson P, Wei X, Ross EM, Aitken K, Deomano E, Atkin F, Hayes BJ, Voss-Fels KP. Accelerating Genetic Gain in Sugarcane Breeding Using Genomic Selection. Agronomy. 2020; 10(4):585. https://doi.org/10.3390/agronomy10040585
Yadav, S., Wei, X., Joyce, P. et al. Improved genomic prediction of clonal performance in sugarcane by exploiting non-additive genetic effects. Theor Appl Genet (2021). https://doi.org/10.1007/s00122-021-03822-1