International Journals

  1. Choudhary, P., Waseem, M., Kumar, S., Subbarao, N., Srivastava, S., Chakdar, H. (2023) Y12F mutation in Pseudomonas plecoglossicida S7 lipase enhances its thermal and pH stability for industrial applications: a combination of in silico and in vitro study. World J Microbiol Biotechnol. 39(3):75. doi: https://doi.org/10.1007/s11274-023-03518-2. PMID: 36637534.
  2. Tyagi, R., Paul, A., Raj, V.S., Ojha, K.K., Kumar, S.*, Panda, A.K., Chaurasia, A., Yadav, M.K. (2023) A Drug Repurposing Approach to Identify Therapeutics by Screening Pathogen Box Exploiting SARS-CoV-2 Main Protease. Chem Biodivers. e202200600. doi: https://doi.org/10.1002/cbdv.202200600. PMID: 36597267.
  3. Samal, I., Bhoi, T. K., Majhi, P. K., Murmu, S., Pradhan, A. K., Kumar, D., ... & Al Balawi, T. (2023). Combatting insects mediated biotic stress through plant associated endophytic entomopathogenic fungi in horticultural crops. https://doi.org/10.3389/fpls.2022.1098673
  4. Sharma, R., Arora, R., Ahlawat, S., Chhabra, P., Kumar, A., Kaur, M., Lal, S. B., Mishra, D. C., Farooqi, M. S., & Srivastava, S. (2023). Study on the muscle transcriptome of two diverse Indian backyard poultry breeds acclimatized to different agro-ecological conditions. Molecular biology reports, 10.1007/s11033-022-08223-1. Advance online publication. https://doi.org/10.1007/s11033-022-08223-1
  5. Sharma, S., Archak, S., Majumdar, S., Mishra, D.c., & Rai A., (2022). Comparison of Supervised Machine Learning Techniques in Classifying Vitamin Biosynthesis Genes. Journal of The Indian Society of Agricultural Statistics. 76(3) 141–146
  6. Ahemad, B., Haque, Md. A., Iquebal, M.A., Jaiswal, S., Angadi, U.B., Kumar, D., Rai, A. (2023) DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals. Frontiers in Plant Science https://doi.org/10.3389/fpls.2022.1008756
  7. Mir, Z.A., Chandra, T., Saharan, A., Budhlakoti, N., Mishra, D.C., Saharan, M.S., Mir, R.R., Singh, A.K., Sharma, S., Vikas, V.K. and Kumar, S. (2023). Recent advances on genome-wide association studies (GWAS) and genomic selection (GS); prospects for Fusarium head blight research in Durum wheat. Molecular Biology Reports, 1-17. https://doi.org/10.1007/s11033-023-08309-4
  8. Nagrale DT, Chaurasia A, Kumar S, Gawande SP, Hiremani NS, Shankar R, Gokte-Narkhedkar N, Renu, Prasad YG. PGPR: the treasure of multifarious beneficial microorganisms for nutrient mobilization, pest biocontrol and plant growth promotion in field crops. World J Microbiol Biotechnol. 2023 Feb 16;39(4):100. doi: https://doi.org/10.1007/s11274-023-03536-0. PMID: 36792799.
  9. Garhwal, R., Sangwan, K., Mehra, R., Pal, Y., Nayan, V., Iquebal, M.A., Jaiswal, S., Kumar, H., Bhardwaj, A. (2022) Comparative metabolomics analysis of Halari donkey colostrum and mature milk throughout lactation stages using 1H-Nuclear Magnetic Resonance. Foods (ISSN: 2304-8158). https://doi.org/10.3390/foods12040853
  10. Sareen, S., Budhlakoti, N., Mishra, K.K., Bharad, S., Potdukhe, N.R., Tyagi, B.S. and Singh, G.P., (2023). Resilience to Terminal Drought, Heat, and Their Combination Stress in Wheat Genotypes. Agronomy, 13(3), 1-17. https://doi.org/10.3390/agronomy13030891
  11. Khan, M.A., Rai, A., Mishra, D.C., Budhlakoti, N., Satpathy, S. and Majumdar, S.G., 2023. Comparative study of multi-trait genomic and phenotypic selection indexes for selection of superior genotypes. Indian journal of genetics and plant breeding, 83(01), 88-94.
  12. Das, R., Rai, A., Mishra, D.C. “CNN_FunBar: Advanced learning technique for fungi ITS region classification”. Genes, section: Bioinformatics. Genes 2023, 14(3), 634; https://doi.org/10.3390/genes14030634
  13. Mishra, D.C., Majumdar, S.G., Kumar, A., Bhati, J., Chaturvedi, K. K., Kumar, R.R., Goswami, S., Rai, A., and Budhlakoti, N. (2023). Regulatory Networks of lncRNAs, miRNAs, and mRNAs in Response to Heat Stress in Wheat (Triticum Aestivum L.): An Integrated Analysis. International Journal of Genomics. Volume 2023, Article ID 1774764, 17 pages https://doi.org/10.1155/2023/1774764.
  14. Majumdar, S.G., Mishra, D.C., Rai, A. “Estimation of Error Variance in Genomic Selection for Ultrahigh Dimensional Data”. Agriculture. 13(4), 26; https://doi.org/10.3390/agriculture13040826
  15. Das, P, Grover, M, Chauhan, D, Mishra, D.C., Kumar, S, Chaturvedi, K.K., Bhardwaj, S.C., Singh, A.K., Rai,A. Comparative transcriptome analysis of wheat isogenic lines provides insights into genes and pathways associated with stripe rust resistance. Indian Journal of Genetics and Plant Breeding. Volume 83, Issues 01, Pages 52-58. https://www.isgpb.org/journal/index.php/IJGPB/article/view/3998
  16. Khan, M.A., Rai, A., Mishra, D.C., Budhlakoti, N., Satpathy, S., Majumdar, S.G.. (2023). Comparative study of multi-trait genomic and phenotypic selection indexes for selection of superior genotypes. Indian Journal of Genetics and Plant Breeding. Volume 83, Issues 01, Pages 88-94. https://www.isgpb.org/journal/index.php/IJGPB/article/view/4003
  17. Priyadarshi, M.B., Sharma, A., Chaturvedi, K.K., Bhardwaj, R., Lal, S.B., Farooqi, M.S., Kumar, S., Mishra, D.C, Singh, M. (2023). Comparing various machine learning algorithms for sugar prediction in chickpea using near-infrared spectroscopy. Legume Research-An International Journal . Volume 46, Issues 02, Pages 251-256. https://doi.org/10.18805/LR-4931
  18. Sinha, D., Dasmandal, T., Md. Yeasin, Mishra, D.C., Rai, A., and Archak, S. (2023). EpiSemble: A Novel Ensemble-based Machine-learning Framework for Prediction of DNA N6-methyladenine Sites Using Hybrid Features Selection Approach for Crops. Current Bioinformatics. https://doi.org/10.2174/1574893618666230316151648.
  19. Srivastava, S., Merchant, M., McClain J. Craig, Rai, A., Chaturvedi, K.K., Angadi, U.B., Mishra, C.D. and Rai N. Shesh* (2023). Advanced Multivariable Statistical Analysis Interactive Tool for Handling Missing Data and Confounding Covariates for Label-free LC-MS Proteomics Experiments, Current Bioinformatics,18(5). https://dx.doi.org/10.2174/1574893618666230223150253.
  20. Singh, D. P., Bisen, M. S., Prabha, R., Maurya, S., Yerasu, S. R., Shukla, R., Tiwari, J. K., Chaturvedi, K. K., Farooqi, Md. S., Srivastava, S., Rai, A., Sarma, B. K., Rai, N., Singh, P. M., Behera, T. K., & Farag, M. A. (2023). Untargeted Metabolomics of Alternaria solani-Challenged Wild Tomato Species Solanum cheesmaniae Revealed Key Metabolite Biomarkers and Insight into Altered Metabolic Pathways. Metabolites, 13(5), 585. https://doi.org/10.3390/metabo13050585
  21. Yadav S, Yadava YK, Meena S, Singh L, Kansal R, Grover M, M S N, Bharadwaj C, Paul V, Gaikwad K, Jain PK. The SPL transcription factor genes are potential targets for epigenetic regulation in response to drought stress in chickpea (C. arietinum L.). Mol Biol Rep. 2023 Apr 29. doi: https://doi.org/10.1007/s11033-023-08347-y.
  22. Kumar, B., Saha, B., Jaiswal, S., Angadi, U.B., Rai, A., Iquebal, M.A.* (2023) Genome wide identification and characterization of tissue specific non-coding RNAs in Black pepper (Piper nigrum L.) Frontiers in Plant Science https://www.frontiersin.org/articles/10.3389/fpls.2023.1079221/full
  23. Vasisth, P., Singh, N., Limbalkar, O.M., Sharma, M., Gokulan, D., Meena, Mohan Lal, Jain, P., Jaiswal, S., Iquebal, M.A., Watts, A., Gaikwad, K.B., Singh, R. (2023) Deciphering Heterotic Genomic Segments in Brassica carinata A. Braun derived Brassica juncea (L.) Czern. Introgression Lines. MDPI Plants (ISSN: 2223-7747) https://www.mdpi.com/2223-7747/12/8/1677.
  24. Vinay N.D., Matsumura, H., Munshi, A.D., Ellur, R.K., Chinnusamy, V., Singh, A., Iquebal, M.A., Jaiswal, S., Jat, G.S., Panigrahi, I., Gaikwad, A.B., Rao, A.R., Dey, S.S.under, Behera, T.K., (2023) Molecular mapping of genomic region and identification of possible candidate genes associated with gynoecious sex expression in bitter gourd. Frontiers in Plant Science https://www.frontiersin.org/articles/10.3389/fpls.2023.1071648/full
  25. Singh, S. K., Singh, R., Singh, S.K., Iquebal, M.A., Jaiswal, S., Rai, P.K.(2023) Prevalence of obesity in newly onset diabetes mellitus and its relationship with uric acid: an Indian cross-sectional study. International Journal of General Medicine, 2023:16: 1217-1226 https://www.dovepress.com/articles.php?article_id=82853
  26. Rasal, K.D., Dixit, S., Swain, P.P, Siriyappagouder, P., Kumar, R., Iquebal, M.A., Vasam, M., Debbarma, J., Jaiswal, S., Angadi, U.B., Rai, A., Kumar, D., Sundaray, J.K. (2023) Identification of host-specific skin-mucus and gut microbiota in snakehead murrel (Channa striata) (Bloch, 1793) using metagenomics approach. Journal of Applied Biology & Biotechnology. 2023 (DOI: https://doi.org/10.7324/JABB.2023.11508
  27. Ganiga, N., Bhatia, R., Dubey, K., Arora, R., Singh, K.P., Panwar, S., Bollinedi, H., Sarika (2023) Protocol for in vitro regeneration and rapid mass multiplication of apetalous male sterile lines of marigold. Indian Journal of Horticulture, 80(1): 110-116. https://doi.org/10.58993/ijh/2023.80.1.17
  28. Puneeth, P.V., Yadav, R.K., Lata, S., Iquebal, M.A., Tomar, B.S., Choudhary, H., Tomar, A., Sharma, P.K., Jaiswal, S. (2023) Development and validation of novel SSR markers using transcriptome data in okra (Abelmoschus esculentus L.)- A genetically orphan crop. Indian Journal of Genetics and Plant Breeding, 83(1): 95-102 https://www.isgpb.org/journal/index.php/IJGPB/article/view/3544
  29. Kumar, S., Behera, S.K., Gururaj, K., Chaurasia, A., Murmu, S., Prabha, R., Angadi, U.B., Pawaiya, R.S., Rai, A. (2023). In silico mutation of aromatic with aliphatic amino acid residues in Clostridium perfringens epsilon toxin (ETX) reduces its binding efficiency to Caprine Myelin and lymphocyte (MAL) protein receptors. J Biomol Struct Dyn. 2:1-13. doi: https://doi.org/10.1080/07391102.2023.2204362. PMID: 37129165
  30. Samal, I., Bhoi, T. K., Raj, M. N., Majhi, P. K., Murmu, S., Pradhan, A. K., ... & Guru, P. N. (2023). Underutilized legumes: nutrient status and advanced breeding approaches for qualitative and quantitative enhancement. https://www.frontiersin.org/articles/10.3389/fnut.2023.1110750/full.
  31. Mishra, D,C., Bhati, J., Yadav, S., Awasthi, H., Sikka, P., Jerome, A., Balhara, A.K., Rai, A., Chaturvedi, K.K. (2023). Comparative expression analysis of Water buffalo (Bubalus bubalis) to identify genes associated with economically important traits. Frontiers in Veterinary Sciences, Section: Livestock Genomics. doi: https://doi.org/10.3389/fvets.2023.1160486.
  32. Sikka, P., Paul, S.S., Jerome, A., Mishra, D,C, Chaturvedi, K.K., Singh, I., Rai, A. (2023). Functional Genes in Relation to Residual Feed Intake in Murrah Buffalo Heifers. Advances in Bioscience and Biotechnology, 2023, 14, 210-236 DOI: https://doi.org/10.4236/abb.2023.144014.
  33. Mir, Z.A., Chauhan, D., Pradhan, A.K., Srivastava, V., Sharma, D., Budhlakoti, N., Mishra, D.C., Jadon, V., Sahu, T. K., Grover, M., Gangwar, O.P., Kumar, S., Bhardwaj, S.C., Padaria, J.C., Singh, A.K., Rai, A., Singh G. P., Kumar, S. (2023). Comparative transcriptome profiling of near isogenic lines PBW343 and FLW29 to unravel defense related genes and pathways contributing to stripe rust resistance in wheat. Funct Integr Genomics, 23(2), 1-19. https://doi.org/10.1007/s10142-023-01104-1
  34. Kumar, M., Ansari, W.A,. Zeyad, M.T. Singh, A., Chakdar, H., Kumar, A., Farooqi, M.S., Sharma, A. Srivastava, S., and Kumar. A.(2023) Core microbiota of wheat rhizosphere under Upper Indo-Gangetic plains and their response to soil physicochemical properties, Frontiers in Plant Science},VOLUME 14, DOI: https://doi.org/10.3389/fpls.2023.1186162
  35. Ray, A., Gadratagi, B.G., Budhlakoti, N., Rana, D.K., Adak, T., Govindharaj, G.P.P., Patil, N.B., Mahendiran, A. and Rath, P.C. (2023). Functional response of an egg parasitoid, Trichogramma chilonis Ishii to sublethal imidacloprid exposure. Pest Management Science. DOI: https://doi.org/10.1002/ps.7540
  36. Murmu, S., & Archak, S. (2023) In-silico study of protein-protein interactions in wheat blast using docking and molecular dynamics simulation approach, Journal of Biomolecular Structure and Dynamics https://doi.org/10.1080/07391102.2023.2228907
  37. Prabhakaran P, Hebbani AV, Menon SV, Paital B, Murmu S, Kumar S, Singh MK, Sahoo DK and Desai PPD (2023) Insilico generation of novel ligands for the inhibition of SARS-CoV-2 main protease (3CLpro) using deep learning. Front. Microbials. 14:1194794. doi: https://doi.org/10.3389/fmicb.2023.1194794
  38. Sikka P., Singh K P, Singh I., Balhara, A., Chaturvedi, K.K., Andonissamy, J., Mishra, D.C., Rao, A.R., Paul, S.S, Rai, A. (2023). Whole blood Transcriptome in Murrah Lactating Buffaloes divergent to contrasting genetic merits for Milk Yield. Frontiers in Animal Science, section Animal Physiology and Management. 4:1135429. DOI https://doi.org/10.3389/fanim.2023.1135429.
  39. Arora, R., Sharma, R., Ahlawat, S., Chhabra, P., Kumar, A., Kaur, M., Vijh, R.K., Lal, S.B., Mishra, D.C., Farooqi, M.S., and Srivastava, S., (2023). Transcriptomics reveals key genes responsible for functional diversity in pectoralis major muscles of native black Kadaknath and broiler chicken. 3 Biotech, 13, 253. https://doi.org/10.1007/s13205-023-03682-0
  40. Pradhan, A.K., Budhlakoti, N., Mishra, D.C., Prasad, P., Bhardwaj, S.C., Sareen, S., Sivasamy, M., Jayaprakash, P., Geetha, M., Nisha, R. and Shajitha, P., Peter J., Kaur, A., Kaur, S., Vikas, V.K., Singh, K. & Kumar, S. (2023). Identification of Novel QTLs/Defense Genes in Spring Wheat Germplasm Panel for Seedling and Adult Plant Resistance to Stem Rust and Their Validation Through KASP Marker Assays. Plant Disease, DOI: https://doi.org/10.1094/PDIS-09-22-2242-RE
  41. Srivastav, M., Radadiya, N., Ramachandra, S., Jayswal, P., Singh, N., Singh, S., Mahato, A.K., Gupta, A., Devi, R., Subrayagowda, S.H., Kumar, G., Prakash, P., Singh, S., Sharma, N., Nagaraja, A., Kar, A., Gaur, S.R, Sethi, S., Tandon, G., Jaiswal, S., Iquebal, M.A., Singh, R., Singh, S.K., Singh, N. K. (2023) Construction of high-density genetic linkage maps and identification of QTLs for fruit colour and firmness traits in F1 Amrapali x Sensation mango hybrids. Frontiers in Plant Science. https://www.frontiersin.org/articles/10.3389/fpls.2023.1135285/full
  42. Garhwal, Renu, Sangwan, Karnam, Mehra, Rahul, Pal, Yash, Nayan, Varij, Tiwari, Manish, Chauhan, Man Mohan Singh, Iquebal, Mir Asif, Jaiswal, Sarika, Kumar, Harish, Bhardwaj, Anuradha (2022) Comparative metabolomics analysis of Halari donkey colostrum and mature milk throughout lactation stages using 1H-Nuclear Magnetic Resonance. LWT- Food Science and Technology. https://www.sciencedirect.com/science/article/pii/S0023643823003845
  43. N. Varshney, D. Kashyap, S.K. Behra, V. Saini, A. Chaurasia, S. Kumar* & H.C. Jha (2023) Predictive profiling of gram-negative antibiotics in CagA oncoprotein inactivation: a molecular dynamics simulation approach, SAR and QSAR in Environmental Research, 34:6, 501-521, DOI: https://doi.org/10.1080/1062936X.2023.2230876
  44. Ahlawat, S., Arora, R., Sharma, R., Chhabra, P., Kumar, A., Kaur, M., Lal, S.B., Mishra, D.C., Farooqi, M.S. and Srivastava, S. (2023). Revelation of genes associated with energy generating metabolic pathways in the fighter type Aseel chicken of India through skeletal muscle transcriptome sequencing. Animal Biotechnology, DOI: https://doi.org/10.1080/10495398.2023.2219718
  45. Das, P., Grover, M., Mishra, D.C., Majumdar, S.G., Kumar, S., Chaturvedi, K.K., Bhardwaj, S.C., Singh, A.K. and Rai, A. (2023). Genome-wide identification and characterization of Puccinia striiformisresponsive lncRNAs in Triticum aestivum. Frontiers in Plant Science, section Plant Bioinformatics. Volume 14 - 2023 https://doi.org/10.3389/fpls.2023.1120898
  46. Upadhyay, D., Budhlakoti, N., Mishra, D.C., Kumari, J., Gahlaut, V., Chaudhary, N., Padaria, J.C., Sareen, S., Kumar, S. (2023). Characterization of Stress-Induced Changes in Morphological, Physiological and Biochemical Properties of Indian Bread Wheat (Triticum aestivum L.) Under Deficit Irrigation. Genetic Resources and Crop Evolution. DOI: https://doi.org/10.1007/s10722-023-01693-7
  47. Taria, S., Arora, A., Krishna, H., Manjunath, K.K., Meena, S., Kumar, S., Singh, B., Krishna, P., Malakondaiah, A.C., Das, R. and Alam, B. (2023). Multivariate analysis and genetic dissection of staygreen and stem reserve mobilisation under combined drought and heat stress in wheat (Triticum aestivum L.). Frontiers in Genetics, 14, p.1242048. https://doi.org/10.3389/fgene.2023.1242048
  48. Yadav, R., Jaiswal, S., Singhal, T., Mahto, R.K., Verma, S.B., Yadav, R.K. and Kumar, R. (2023) Potentials of genotypes, morpho-physio-biochemical traits, and growing media on shelf life and future prospects of gene editing in tomatoes. Frontiers in Genome Editing. 5:1203485. doi: 10.3389/fgeed.2023.1203485 https://www.frontiersin.org/articles/10.3389/fgeed.2023.1203485/full
  49. Bhardwaj, A., Tandon, G., Pal, Y., Sharma, N.K., Nayan, V., Soni, S., Iquebal, M. A., Jaiswal, S., Legha, R.A., Legha, T., TR, Bhattacharya, T.K., Kumar, D., Rai, A., Tripathi, B.N. (2023) Genome-wide SNP based genomic diversity and runs of homozygosity for selection signatures in Equine breeds. MDPI Genes (ISSN: 2073-4425): https://www.mdpi.com/2073-4425/14/8/1623
  50. Chandra, T., Jaiswal, S., Iquebal, Mir Asif*, Singh, R., Gautam, R.K., Rai, A., Anil, Kumar, D. (2023) Revitalizing miRNAs mediated beneficial agronomic traits improvement in rice. Plant Physiology and Biochemistry Journal. https://www.sciencedirect.com/science/article/pii/S0981942823004448?dgcid=author
  51. Sonkusale, L., Chaturvedi, K.K., Sharma, A., Lama, A., Farooqi, M.S., Lal, S.B., Joshi, P., Mishra, D.C., and Kumar, M.(2023). Evaluating Text Preprocessing Methods for Discovering Quality Topics to Improve the Information Retrieval Mechanism. Acta Scientific COMPUTER SCIENCES, 5(9), pp. 03-08. https://actascientific.com/ASCS/pdf/ASCS-05-0471.pdf
  52. Padmanabha, K., Choudhary, H., Mishra G.P., Mandal, B., Solanke, A.U., Mishra, D.C., Yadav, R.K. (2023). Identifying new sources of resistance to tomato leaf curl New Delhi virus from Indian melon germplasm by designing an improved method of field screening. Genetic Resources and Crop Evolution. https://doi.org/10.1007/s10722-023-01744-z
  53. Kumar, D., Ramkumar, M.K., Dutta, B., Kumar Ajay, Pandey, R., Jain, P. K., Gaikwad, K., Mishra, D.C., Chaturvedi K. K., Rai, A., Solanke, A.U. & Sevanthi, A.M. (2023). Integration of miRNA dynamics and drought tolerant QTLs in rice reveals the role of miR2919 in drought stress response. BMC Genomics 24, 526 (2023). https://doi.org/10.1186/s12864-023-09609-6
  54. Roy, A., Marwaha. S., Mishra, D.C., Chinnusamy, V. (2023). Development of a Genome-phenome Browser for Rice Cultivars. International Journal of Plant & Soil Science. 35(14), 269-277 https://doi.org/10.9734/ijpss/2023/v35i143045
  55. Nagre, K., Singh, N., Ghoshal, C., Tandon, G., Iquebal, M.A., Nain, T., Bana, R. S., Meena, A.(2023) Probing the potential of bioactive compounds of millets as an inhibitor for lifestyle diseases: Molecular docking and Simulation-based approach. Frontiers in Nutrition. (https://www.frontiersin.org/articles/10.3389/fnut.2023.1228172/full)
  56. Das, P., Chandra, T., Negi, A., Jaiswal, S., Iquebal, M.A., Rai, A. and Kumar, D. (2023) A comprehensive review on genomic resources in medicinally and industrially important major spices for future breeding programs: status, utility and challenges. Current Research in Food Science. https://www.sciencedirect.com/science/article/pii/S2665927123001478
  57. Das, A., Munshi, A.D., Raju, D., Kumar, S., Singh, D., Talukdar, A., Hongal, D., Iquebal, M.A., Bhattacharya, R.C., Ghannoum, O., Behera, T.K., Dey, S.S. (2023) A hydroponic-based efficient and high-throughput phenotyping enabled to identify cucumber germplasm with contrasting responses to drought stress and associated key physiological traits. Genetic Resources and Crop Evolution. https://link.springer.com/epdf/10.1007/s10722-023-01737-y
  58. Varshney, N., Murmu, S., Baral, B., Kashyap, D., Singh, S., Kandpal, M., Bhandari V, Chaurasia A, Kumar S, Jha, H. C. (2023). Unraveling the Aurora kinase A and Epstein Barr Virus nuclear antigen 1 axis in Epstein Barr Virus associated gastric cancer. Virology, 109901. https://doi.org/10.1016/j.virol.2023.109901
  59. Sinha, D., Dasmandal, T., Paul, K., Yeasin, M., Bhattacharjee, S., Murmu, S.,. & Archak, S. (2023). MethSemble-6mA: an ensemble-based 6mA prediction server and its application on promoter region of LBD gene family in Poaceae. Frontiers in Plant Science, 14. https://doi.org/10.3389/fpls.2023.1256186
  60. Upadhyay, D., Budhlakoti, N., Kumari, J., Chaudhary, N., Padaria, J. C., Sareen, S., & Kumar, S. (2023). In-silico characterization of drought stress related WRKY2 transcription factor in wheat crop (Triticum aestivum L.): study of its physico-chemical properties and structural dynamics. Genetic Resources and Crop Evolution, 1-12. https://doi.org/10.1007/s10722-023-01706-5
  61. Joshi, B., Singh, S., Tiwari, G. J., Kumar, H, Boopathi, NM, Jaiswal, S., Adhikari, Dibyendu, Kumar, D., Sawant, Samir V., Iquebal, Mir Asif, Jena, Satya Narayan (2023) Genome-wide association study (GWAS) of yield-related traits uncovers the novel genomic regions and candidate genes in Indian upland cotton (Gossypium hirsutm L.). Frontiers in Plant Science https://www.frontiersin.org/articles/10.3389/fpls.2023.1252746/full
  62. P. S. Priyanka, V. Sangeetha, P. Venkatesh, V. Lenin, L. Muralikrishnan, Girish K. Jha (2023). Assessing farmers knowledge towards Agri-Nutrition (A2N) in Uttar Pradesh and Telangana: A psychometric test development and impact analysis. Agricultural Mechanization in Asia, 54 (10).
  63. M. L. Geetha, P. Venkatesh, Girish K. Jha, Dharam Raj Singh and V. Sangeetha (2023). A study on consumer awareness, perception and willingness to pay for biofortified products in Delhi, India. Current Science, 125, 728-736.
  64. Das J, Kumar B, Saha B, Jaiswal S, Iquebal MA, Angadi UB and Kumar D (2023), Genome-wide identification and characterization of tissue specific long non-coding RNAs and circular RNAs in common carp (Cyprinus carpio L.). Front. Genet. 14:1239434. https://doi.org/10.3389/fgene.2023.1239434
  65. Sharma, D., Kumari, A., Sharma, P., Singh, A., Sharma, A., Mir, Z.A., Kumar, U., Jan, S., Parthiban, M., Mir, R.R. , Bhati, P., Pradhan, A.K., Yadav, A., Mishra, D.C. , Budhlakoti, N., Yadav, M.C., Gaikwad, K.B. Singh, A.K., Singh, G., Pratap, K.S. (2023). Meta QTL analysis in wheat: progress, challenges and opportunities. Theoretical and Applied Genetics (2023) 136:247. https://doi.org/10.1007/s00122-023-04490-z
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