Author

Bimal Kumar Ghimire

Kangwon National UniversityORCID 0000-0001-7032-325XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:benchmarking· 3 Organism:plant (other)· 3 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Organism:multiple species· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alexander Edward LipkaiD· 4 shared Ana Carolina Campana NascimentoiD· 4 shared Andrew D. B. LeakeyiD· 4 shared Andrey Sabitov· 4 shared Ansari Shaik· 4 shared Chang Yeon YuiD· 4 shared Diego JarquíniD· 4 shared Elena A. DzyubenkoiD· 4 shared

Activity by Year

2026-2026 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenomics

Alexander Edward LipkaORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Multi-trait Multi-environment Genomic Prediction Strategies for Miscanthus sacchariflorus Populations

Shatabdi Deb Proma, Julián García-Abadillo, Vitor Seiti Sagae, Erik J. Sacks, Andrew D. B. Leakey, Hua Zhao, Bimal Kumar Ghimire, Alexander Edward Lipka, Joyce Njoki Njuguna, Chang Yeon Yu, Eun Soo Seong, Ji Hye Yoo, Hironori Nagano, Kossonou Guillaume Anzoua, Toshihiko Yamada, , Diego Jarquín

This study evaluates MTME genomic prediction models for Miscanthus sacchariflorus, finding they improve prediction for some traits but not all, depending on the cross-validation scenario.

bioRxiv · Mar 23, 2026 · PreprintGenomics

Optimizing resource allocation in Miscanthus breeding with sparse testing designs for genomic prediction

Shatabdi Deb Proma, Nelson Lubanga, Erik J. Sacks, Andrew D. B. Leakey, Hua Zhao, Bimal Kumar Ghimire, Alexander Edward Lipka, Joyce Njoki Njuguna, Chang Yeon Yu, Eun Soo Seong, Ji Hye Yoo, Hironori Nagano, Kossonou Guillaume Anzoua, Toshihiko Yamada, Pavel A. Chebukin, , Diego Jarquín

This study evaluates sparse testing designs for genomic prediction in Miscanthus breeding to reduce phenotyping costs while maintaining predictive accuracy.

bioRxiv · Mar 23, 2026 · PreprintGenomics

Weather Characterization for Optimizing Genomic Prediction in Miscanthus sacchariflorus

Ansari Shaik, Erik J. Sacks, Andrew D. B. Leakey, Hua Zhao, Jens Bonderup Kjeldsen, Uffe Jørgensen, Bimal Kumar Ghimire, Alexander Edward Lipka, Joyce Njoki Njuguna, Chang Yeon Yu, Eun Soo Seong, Ji Hye Yoo, Hironori Nagano, Kossonou Guillaume Anzoua, Toshihiko Yamada, , Diego Jarquín

This study optimizes genomic prediction in Miscanthus sacchariflorus by incorporating weather data to improve model performance across different locations.

bioRxiv · Mar 20, 2026 · PreprintGenomics

ENHANCING GENOMIC PREDICTION MODELS IN MISCANTHUS POPULATIONS BY INCORPORATING THE GENOTYPE-BY-ENVIRONMENT INTERACTION

The paper evaluates cross-validation schemes for genomic selection in perennial Miscanthus species, showing improved predictive ability by incorporating genotype-by-environment interactions.

bioRxiv · Mar 18, 2026 · PreprintGenomics