Publication

Year: 2014
Author Year Title Publication Journal
S. Abubaker; G. Gopi; C.S. Mishra; E.D.I. OliverKing; E. Goddard 2014 Home gardens and Fishponds for nourishment and empowerment Outcome Story Home gardens.pdf
Praseetha Kizhakkedath; Vidya Jegadeeson; Gayatri Venkataraman; Ajay Parida 2014 A vacuolar antiporter is differentially regulated in leaves and roots of the halophytic wild rice Porteresia coarctata (Roxb.) Tateoka Molecular Biology Report
E.D.I. OliverKing; S.A. Siddick; G. Gopi; N. Kav 2014 Integrated agriculture enhances farm productivity and livelihoods in agro-biodiversity hotspots Outcome Story Integerated Agriculture.pdf
Divya Chandran; H. M. Sankararamasubramanian; Ashok Kumar; Ajay Parida 2014 Differential expression analysis of transcripts related to oil metabolism in maturing seeds of Jatropha curcas L. Physiol Mol Biol Plants
C.S. Mishra; T. Taraputia; B. Suchen 2014 Policy Advocacy for Climate Smart Agriculture in Millets: An Initiative for Ensuring Food Security in Tribal Communities of Koraput Tract, Odisha, India Policy Advocacy.pdf Global Advanced Research Journal Scienceof Agricultural
E.D.I. OliverKing; S. Swain; A. Parida 2014 Community biodiversity management: strengthening resilience of family farmers 98.pdf DEEP ROOTS
P.C. Kesavan; R.D. Iyer 2014 LIVING LEGENDS IN INDIAN SCIENCE: M. S. Swaminathan: a journey from the frontiers of life sciences to the state of a ‘Zero Hunger’ world Living Legend.pdf CURRENT SCIENCE
Ravi Mahalakshmi; Palanisami Eganathan; Ajay Parida 2014 Vitro regeneration from different ages of petioles of physic nut (Jatropha curcas L.) 117116-324916-1-PB.pdf African Journal of Biotechnology
C.S. Chandrika; P.M. Nandakumar 2014 Paniya Adivasi Women's innovative Livelihood Development Endeavours in Farming Paniya Adivasi women's innovative Livelihood.pdf Empowering Women in Agriculture
Supriyo Basak; Aadi Moolam Ramesh; Vigya Kesari; Ajay Parida; Sudip Mitra; Latha Rangan 2014 Genetic diversity and relationship of Hedychium from Northeast India as dissected using PCA analysis and hierarchical clustering Meta Gene

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