An unsupervised hybrid feature selection approach using scalable laplacian score and binary particle swarm optimization A Tripathi, A Tiwari, NS Chaudhari, M Ratnaparkhe, R Dwivedi Applied Intelligence 56 (8), 262 , 2026 2026
Genetic Variability and Trait Identification for Enhanced Response to Drought Tolerance in Advanced Soybean Breeding Population C Jamnotia, RS Sikarwar, GK Satpute, G Kumawat, F Bajpai, S Kataria, ... Journal of Experimental Agriculture International 48 (4), 631-638 , 2026 2026
Harnessing novel endophytic fungi for synergistic plant growth promotion and charcoal rot disease management in soybean LS Rajput, S Kumar, V Nataraj, M Shivakumar, HS Maheshwari, ... Heliyon 12 (7) , 2026 2026
Genome-wide association study for root-related traits at vegetative growth stages of soybean ( Glycine max L. Merrill) G Kumawat, N Agrawal, R Raghuvanshi, H Shrivastava, S Verma, ... BMC genomics , 2026 2026
Enhancing Potato Crop Health Monitoring Using Two Stage CNN Based Disease Classification Models A Shastri, A More, T Soni, M Ratnaparkhe, S Rawat, K Sabale, M Paliwal 2026
Dry ageing: A physiologically realistic alternative to accelerated ageing for phenotyping seed longevity in soybean DVAKMB Akash A, M B Ratnaparkhe, C T M Prasad, B K Naik, M K Kuchlan, H R ... Plant Science Today 13 (1), 1-8 , 2026 2026
Evaluation of Soybean [Glycine max (L.) Merrill] Germplasm for Yield and Attributing Traits for Rabi Season in the Southern Indian Zone GKSNV Onkarappa T, Sowmya HH, Milind B Ratnaparkhe, Shivakumar Maranna ... Indian J. Plant Genet. Resour. 38 (3), 314-324 , 2026 2026
Qualitative and Quantitative Traits of Soybeans N Agrawal, M Shivakumar, V Nataraj, G Kumawat, P Meghwal, S Nagar, ... Soybeans, 33-54 , 2026 2026
Near‐Isogenic Lines Reveal the Role of E3 and E4 Loci in Soybean ( Glycine max (L.) Merr.) Adaptation Across Latitudes in Subtropical Regions N Agrawal, R Tripathi, S Gupta, V Rajesh, S Chandra, V Nataraj, ... Plant Breeding 144 (6), 920-930 , 2025 2025
Soybean Genotypes with Elevated Thermal Demand and Photoperiod Sensitivity Show Adaptive Flowering Across Solstice Phases in Lower Latitudes V Rajesh, S Gupta, R Tripathi, V Nataraj, KH Singh, G Kumawat, ... 2025
Virulence patterns of Colletotrichum truncatum isolates causing soybean anthracnose disease and identification of resistance sources S Mandloi, P Dhaka, V Nataraj, V Pandey, S Kumar, LS Rajput, ... BMC Plant Biology 25 (1), 1559 , 2025 2025
Gpu-enhanced scalable methods for genome sequence feature extraction and clustering P Jha, A Tiwari, N Bharill, M Ratnaparkhe, OP Patel International Journal of System Assurance Engineering and Management 16 (11 … , 2025 2025
Dissecting genetic architecture of flowering and maturity traits in soybean using GWAS in Indian environment R Raghuvanshi, G Kumawat, R Kavishwar, S Gupta, A Chitikineni, ... BMC plant biology 25 (1), 1426 , 2025 2025 Citations: 3
Scalable alignment-free feature extraction approach for genome data and their cluster analysis A Tripathi, A Tiwari, NS Chaudhari, M Ratnaparkhe, N Bharill, P Jha, ... Multimedia Tools and Applications 84 (34), 43225-43261 , 2025 2025 Citations: 1
Enhancing K-means Clustering Performance with a Two-Stage Hybrid Preprocessing Strategy A Tripathi, A Tiwari, NS Chaudhari, M Ratnaparkhe, R Dwivedi Arabian Journal for Science and Engineering 50 (19), 15453-15472 , 2025 2025 Citations: 5
On construction of data preprocessing for real-life SoyLeaf dataset & disease identification using Deep Learning Models S Gudge, A Tiwari, M Ratnaparkhe, P Jha Computational Biology and Chemistry 117, 108417 , 2025 2025 Citations: 5
Best linear unbiased prediction (BLUP)-based models aided in selection of high yielding charcoal rot and yellow mosaic resistant soybean genotypes PK Amrate, V Nataraj, M Shivakumar, MK Shrivastava, LS Rajput, ... Genetic Resources and Crop Evolution 72 (5), 5593-5611 , 2025 2025 Citations: 9
Genome editing in grain legumes for food security JY Asiamah, SH Mahdi, KR Tamang, CB Carson, P Koirala, EA Reed, ... Frontiers in Genome Editing 7, 1572292 , 2025 2025 Citations: 12
CNN-based damage classification of soybean kernels using a high-magnification image dataset I Chauhan, S Kekre, A Miglani, PK Kankar, MB Ratnaparkhe Journal of Food Measurement and Characterization 19 (5), 3471-3495 , 2025 2025 Citations: 7
A scalable method for extracting features using a complex network from SNP sequences and clustering using the scalable Max of Min algorithm: AK Kansal et al. AK Kansal, A Tiwari, M Ratnaparkhe, R Dwivedi, P Jha Soft Computing 29 (7), 3165-3188 , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
A linkage map of the chickpea (Cicer arietinum L.) genome based on recombinant inbred lines from a C. arietinum× C. reticulatum cross: localization of resistance genes for … P Winter, AM Benko-Iseppon, B Hüttel, M Ratnaparkhe, A Tullu, ... Theoretical and Applied Genetics 101 (7), 1155-1163 , 2000 2000 Citations: 431
Inheritance of inter-simple-sequence-repeat polymorphisms and linkage with a fusarium wilt resistance gene in chickpea MB Ratnaparkhe, DK Santra, A Tullu, FJ Muehlbauer Theoretical and Applied Genetics 96 (3), 348-353 , 1998 1998 Citations: 280
Inter-simple-sequence-repeat (ISSR) polymorphisms are useful for finding markers associated with disease resistance gene clusters M Ratnaparkhe, FJ Muelhbauer Theoretical and Applied Genetics , 1998 1998 Citations: 263
Genetic and physical mapping of the grapevine powdery mildew resistance gene, Run1, using a bacterial artificial chromosome library CL Barker, T Donald, J Pauquet, MB Ratnaparkhe, A Bouquet, ... Theoretical and Applied Genetics 111, 370-377 , 2005 2005 Citations: 260
Identification and mapping of QTLs conferring resistance to ascochyta blight in chickpea D Santra, M Ratnaparkhe, FJ Muelhbauer, WJ Kaiser Crop Science , 2000 2000 Citations: 257
Genetic fingerprinting of pigeonpea [Cajanus cajan (L.) Millsp.] and its wild relatives using RAPD markers MB Ratnaparkhe, VS Gupta, MR Ven Murthy, PK Ranjekar Theoretical and Applied Genetics 91, 893-898 , 1995 1995 Citations: 209
Differential accumulation of retroelements and diversification of NB-LRR disease resistance genes in duplicated regions following polyploidy in the ancestor of soybean RW Innes, C Ameline-Torregrosa, T Ashfield, E Cannon, SB Cannon, ... Plant Physiology 148 (4), 1740-1759 , 2008 2008 Citations: 165
ICAR Indian Institute of Soybean Research MB Ratnaparkhe India , 2021 2021 Citations: 102
Evolution of a Complex Disease Resistance Gene Cluster in Diploid Phaseolus and Tetraploid Glycine T Ashfield, AN Egan, BE Pfeil, NWG Chen, R Podicheti, MB Ratnaparkhe, ... Plant physiology 159 (1), 336-354 , 2012 2012 Citations: 88
Breeding for higher yield, early maturity, wider adaptability and waterlogging tolerance in soybean ( Glycine max L.): A case study S Maranna, V Nataraj, G Kumawat, S Chandra, V Rajesh, R Ramteke, ... Scientific reports 11 (1), 22853 , 2021 2021 Citations: 81
WAASB based stability analysis and simultaneous selection for grain yield and early maturity in soybean V Nataraj, A Bhartiya, CP Singh, HN Devi, MP Deshmukh, P Verghese, ... Agronomy Journal , 2021 2021 Citations: 80
Comparative analysis of peanut NBS‐LRR gene clusters suggests evolutionary innovation among duplicated domains and erosion of gene microsynteny MB Ratnaparkhe, X Wang, J Li, RO Compton, LK Rainville, C Lemke, ... New Phytologist 192 (1), 164-178 , 2011 2011 Citations: 76
Plant miRNAome and antiviral resistance: a retrospective view and prospective challenges SV Ramesh, MB Ratnaparkhe, G Kumawat, GK Gupta, SM Husain Virus Genes 48 (1), 1-14 , 2014 2014 Citations: 65
Matita , a new retroelement from peanut: characterization and evolutionary context in the light of the Arachis A–B genome divergence S Nielen, BS Vidigal, SCM Leal-Bertioli, M Ratnaparkhe, AH Paterson, ... Molecular Genetics and Genomics 287 (1), 21-38 , 2012 2012 Citations: 64
Genetics, genomics, and breeding of soybean K Bilyeu, MB Ratnaparkhe, C Kole CRC Press , 2012 2012 Citations: 55
QTLomics in soybean: a way forward for translational genomics and breeding G Kumawat, S Gupta, MB Ratnaparkhe, S Maranna, GK Satpute Frontiers in Plant Science 7, 1852 , 2016 2016 Citations: 54
Replication of nonautonomous retroelements in soybean appears to be both recent and common A Wawrzynski, T Ashfield, NWG Chen, J Mammadov, A Nguyen, ... Plant Physiology 148 (4), 1760-1771 , 2008 2008 Citations: 48
Necessity and challenges for exploration of nutritional potential of staple-food grade soybean G Padalkar, R Mandlik, S Sudhakaran, S Vats, S Kumawat, V Kumar, ... Journal of food composition and analysis 117, 105093 , 2023 2023 Citations: 47
Omics advances and integrative approaches for the simultaneous improvement of seed oil and protein content in soybean ( Glycine max L.) V Kumar, S Vats, S Kumawat, A Bisht, V Bhatt, SM Shivaraj, G Padalkar, ... Critical Reviews in Plant Sciences 40 (5), 398-421 , 2021 2021 Citations: 46
The repetitive component of the A genome of peanut (Arachis hypogaea) and its role in remodelling intergenic sequence space since its evolutionary divergence from the B genome DJ Bertioli, B Vidigal, S Nielen, MB Ratnaparkhe, TH Lee, ... Annals of Botany 112 (3), 545-559 , 2013 2013 Citations: 45
