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Integrative genomics and zero-shot deep learning-based phenotyping reveal the genetic architecture of seed traits in mungbean (Vigna radiata L.).

The plant genome - 1 Sept 2026

Boddepalli Venkata Naresh, Jubery Talukder Zaki, Cannon Steven B, Farmer Andrew, Dutta Somak, Ganapathysubramanian Baskar, Singh Arti

Abstract excerpt

Improving seed size and weight is a major breeding goal in mungbean (Vigna radiata (L.) R. Wilczek). Improved genomic resources and precision phenotyping may enable more efficient selection for seed trait improvement. In this study, we integrated a deep learning-based segment anything model phenotyping pipeline with genome-wide association studies (GWAS), comparative mapping, and genomic prediction (GP) to...

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PMID: 42613993
DOI: 10.1002/tpg2.70294
PMCID: PMC13492609

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

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