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Vigna

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Systems-Level Developmental Reprogramming Under Waterlogging Stress in Cowpea Revealed by Integrated Phenotypic, Physiological, and Transcriptomic Analysis.
Vigna
Integrative genomics and zero-shot deep learning-based phenotyping reveal the genetic architecture of seed traits in mungbean (Vigna radiata L.).
Vigna
RNA-seq meta-analysis and machine learning identify stress-responsive genes and improve genomic prediction in common bean ( <i>Phaseolus vulgaris</i> L.) with cross-species application in cowpea ( <i>Vigna unguiculata</i> L.)
Vigna
Differential Regulation of Branched-Chain Amino Acids During Early Germination of Mungbean ( <i>Vigna radiata</i> L.)
Vigna
Graph-based pan-genome reveals structural variations associated with agronomic traits in mung bean.
Vigna
Genetic dissection of seed quality traits in mungbean through QTL-seq of recombinant inbred line populations.
Vigna
Genome analysis and introgression of multiple disease resistance into pre-breeding lines derived from greengram × ricebean crosses.
Vigna
Integrating Field Screening and Molecular Diagnostics to Assess Yellow Mosaic Disease Resistance in Selected Mungbean Varieties.
Vigna
Genome-wide association study identifies loci controlling grain yield and protein content in mungbean (Vigna radiata (L.) R. Wilczek var. radiata) using DArTseq SNP markers.
Vigna
Detecting transcriptional responses and comparing the virulence of <i>Pseudomonas aeruginosa</i> cystic fibrosis isolates in a mung bean model
Vigna

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