Author

Challa Venkateshwarlu

International Crops Research Institute for the Semi-Arid Tropics

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:genome assembly· 1 Assay:metagenomics· 1

Frequent Co-Authors

Ajay KohliiD· 2 shared Pallavi SinhaiD· 2 shared Sankalp Bhosale· 2 shared Vikas Kumar SinghiD· 2 shared Waseem HussainiD· 2 shared Ajay KumariD· 1 shared Anirban Nath· 1 shared Anisar Rahman· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersPlant Biology

Ajay KohliORCID

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Author profile →

2 papers

Recent·Most cited

Future flooding tolerant rice germplasm: resilience afforded beyond Sub1A gene

Anumalla Mahender, Apurva Khanna, Margaret Catolos, Joie M. Ramos, Ma Teresa Sta. Cruz, Challa Venkateshwarlu, Jaswanth Konijerla, Sharat Kumar Pradhan, Sushanta Kumar Dash, Yater Das, Dhiren Chowdhury, Sanjay Kumar Chetia, Janardan Das, Phuleswar Nath, Girija Rani M, , Waseem Hussain

This paper identifies flood-tolerant rice genotypes with improved submergence and stagnant flooding tolerance, surpassing SUB1A gene-based tolerance, and introduces a new breeding strategy called TTE to enhance genetic gain in flood-prone environments.

The Plant Genome · May 8, 2025Peer-reviewedPlant Biology

DeepMap: A deep learning-based model with four-line code for prediction-based breeding in crops

Ajay Kumar, Krishna Tesman Sundaram, Niranjani Gnanapragasam, Uma Maheshwar Singh, K. J. Pranesh, Challa Venkateshwarlu, Pronob Jyoti Paul, Waseem Hussain, Sankalp Bhosale, Ajay Kohli, Berta Miró, Vikas Kumar Singh, Pallavi Sinha

DeepMap is a deep learning-based genomic prediction tool that outperforms existing models in predicting crop phenotypes using genotype data.

bioRxiv · Jul 26, 2023 · PreprintGenomics