PhD STUDENT
Seema Yadav
Research interest
Predictive analytics by leveraging big data to predict future outcome.
PHONE NUMBER
+61 413 746 924
EMAIL ADDRESS
seema.yadav@uq.edu.au
My research project
- Description
- Objectives
- Outcomes
Implementing genomic selection in Australian sugarcane breeding programs.
- Enhancing productivity and efficiency of breeding programs
- Selection of best crossing pairs for the future generation
More accurate identification of variety candidates for the sugarcane industry.
Career in numbers
PUBLICATIONS
AWARDS
ORAL PRESENTATIONS
About Seema Yadav
Country of origin and languages
My origin: India
Languages I speak: Hindi, Punjabi, English, German [beginner]
Education
Master of Maths, KUK, India
Master of Statistics, UPLB, Philippines
Scholarships
- Research Training Program Stipend
- University of Queensland Research Training
Awards
Registration scholarship – in silico Plant’s PlantBio21
Research advisors
Prof. Ben Hayes
Dr Elizabeth Ross
Dr Owen Powell
Assoc. Prof. Lee Hickey
Dr Kai Voss-Fels
I believe data will drive the future of our research program. Data analytics not only add transparency and traceability dimensions but also reduce the time and cost to develop a product.
Seema Yadav
PhD Student
Publications
Expand to see the full list of Seema's publications
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
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