Dr.(Mrs).Chunduri Sarada

 
Dr. Chunduri Sarada, Principal Scientist
Designation
Principal Scientist
Educational qualification
M.Sc & Ph.D.( Ag.Statistics)
Division
Social Sciences
Contact Address

Indian Institute of Oilseeds Research
Rajendranagar, Hyderabad 500 030

Tel No
040-24598172
E-mail
c.sarada@icar.gov.in
saradac@yahoo.com
Projects completed

As PI

  1. Biometrical approach to develop castor core collection
  2. In-silico mining of castor draft genome

As Co-PI

  1. ICT mediated knowledge management and dissemination in different oilseeds crops
  2. Development of models  to predict yield responses to climate change in oilseeds crops
  3. Proactive mitigation of gray mold (Botryotinia ricini) disease of castor (Ricinus communis L.) crop in Telangana State using dynamical disease forecast (DST-SSTP) 
On-going Projects

As-PI

  • A cross platform application for Identification and advisory for managing diseases and insects in oilseed crops through Image Analysis and Artificial Intelligence 

As Co-PI

  • Impact assessment of varieties/hybrids of IIOR mandated crops in varied agro ecological regions of India
  • Exploiting genetic diversity for improvement of safflower through genomics-assisted discovery of QTLs/genes associated with agronomic traits (DBT funded)
  • Formation and development of Farmer Producer Organizations (FPOs) (NCDC Funded)
Trainings undertaken (National & International)
  • Training programme on "Documenting Success Stories", 23rd-27th, September, 2019 by MANAGE, Hyderabad
  • Training on : Financial Inclusion, Agricultural Credit  and crop Insurance" during November 27-29, 2017  organised by MANAGE,Hyderabad.
  • ICAR winter School on Bioinformatics and Statistical Genomics" during 17th November - 7th December, 2009 at Indian Agricultural Statistics Research Institute, New Delhi.
  • “SAS for Trainers” conducted by HUB 8 of SSCNARS (NAIP) project at NAARM Hyderabad during June 8th , 2010 to August2,2010.
  • A short course on “High Performance Bio-Computing and Drug Design" sponsored by National Agricultural Innovation Project, ICAR under sub-project “Establishment ofNational Agricultural Bioinformatics Grid (NABG) in ICAR”, held at SCFBIO, IIT, New Delhi during 12- 22 September, 2011.
Recent Publications (best papers in past 5 years )
  1. Lavanya, C., Ushakiran, B., Sarada, C. ,T. Manjunatha, S. Senthilvel, K. T. Ramya & M. Santhalakshmi Prasad (2021). Use of single seed descent versus pedigree selection for development of elite parental lines in castor (Ricinus communis L.). Genet Resour Crop Evol 68, 295–305 (2021). https://doi.org/10.1007/s10722-020-00985-6
  2. M. Santhalakshmi Prasad, N. Naresh, K. Sujatha, D. Usha, M. Sujatha, C. Sarada, S. Chander Rao and P. Chowdappa.(2020). "Population structure of Alternaria species causing leaf blight of sunflower (Helianthus annuus L.) in India". Phytoparasitica (2020). https://doi.org/10.1007/s12600-020-00796-6.(NAAS Score: 7.02)
  3. Gayatri B, Ponnusamy Duraimurugan,  Sarada C (2020) Virulence of entomopathogenic nematodes against castor capsule borer Conogethes punctiferalis (Guenée) Indian Journal of Entomology Volume : 82 (1):200-205 ( NAAS  Score :5.89)
  4. T Manjunatha, C Lavanya, S Senthilvel, M P Patel, K T Ramya and C Sarada (2020).Relationship of node number with days to flowering and yield traits in castor (Ricinus communis L.) hybrids under rainfed and irrigated conditions. Journal of Oilseeds Research. Vol 37(4):245-252
  5. Usha, D., Prasad, M.S.L. & Sarada, C. (2019)  Sensitivity of different fungicides against isolates of Alternariaster helianthi (Hansf) Tubaki and Nishihara, leaf blight in sunflower Indian Phytopathology (2019)  72: 351. https://doi.org/10.1007/s42360-018-00109-2.
  6. Kammili, A, Mandalapu, P, Ponukumatla, B, Ruvulapalli, DP, Sarada, C. (2019)  Introgression of resistance to Alternaria leaf spot from wild species into susceptible cultivated safflower. Plant Breed. ; 00: 1– 7. https://doi.org/10.1111/pbr.12775
  7. K. Anjani, , M.A. Raoof , M. Santha Lakshmi Prasad , P. Duraimurugan , C. Lucose , Praduman Yadav , R.D. Prasada , J. Jawahar Lal , C. Sarada (2018): Trait-specific accessions in global castor (Ricinus communis L.) germplasm core set for utilization in castor improvement. Industrial  Crops and Products.Vol 112:776-774
  8. Santosh Sam Koshy, Venkata Srikanth sunnam, Prateek Rajgarhia, Kathiresan Chinnusamy, Durga Prasad Ravulapalli and Sarada Chunduri (2018) Application of the internet of things (IoT) for smart farming: a case study on groundnut and castor pest and disease forewarning. CSI Transactions on ICT. Volume 6, Issue 3–4, pp 311–318
  9. S. Senthilvel,  Mobeen Shaik,  K. Anjani,  Ranjan K. Shaw,  Poornima Kumari,  C.Sarada and B.Usha Kiran (2016). Genetic variability and population structure in a collection of inbred lines derived from a core germplasm of castor. J. Plant Biochem. Biotechnol
  10. K.Alivelu, P.Padmavathi, C.Sarada, P.Lakshmamma. and M. Santha Lakshmi (2016). Safflower Yield Forecasting in India – An application of Auto Regressive Integrated Moving Average (ARIMA) Model.  Journal of Oilseeds Research., 33(1): 68-71, March.
  11. K.Alivelu, P.Padmavathi, C.Sarada, P.Lakshmamma. and M. Santha Lakshmi (2016). Safflower Yield Forecasting in India – An application of Auto Regressive Integrated Moving Average (ARIMA) Model.  Journal of Oilseeds Research., 33(1): 68-71
  12. Lakshmamma,  Lakshmi Prayaga  C. Sarada (2016) Response of contrasting root growth genotypes of castor (Ricinus communis L.) to drought stress J. Oilseeds Res., 33(4) : 212-215
  13. Lakshmi Prayaga, C Sarada and P Lakshmamma 2017. Germination of sunflower (Helianthus annus L.) at low temperature with different methods of seed treatment. Journal of Oilseeds research, 34 (2): 93-97
Area of expertise

Statistical modeling , Multivariate analysis, Bio-informatics

Areas of Interest

Statistical modeling , Multivariate analysis, Bio-informatics, Image Analysis, Machine Leraning and Deep Learning Models