Medha Devare

ORCID: 0000-0003-0041-4812
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About
Contact & Profiles
Research Areas
  • Research Data Management Practices
  • Insect Resistance and Genetics
  • Semantic Web and Ontologies
  • Genetically Modified Organisms Research
  • Biomedical Text Mining and Ontologies
  • Scientific Computing and Data Management
  • CRISPR and Genetic Engineering
  • Pesticide and Herbicide Environmental Studies
  • Genetics, Bioinformatics, and Biomedical Research
  • Academic Publishing and Open Access
  • Entomopathogenic Microorganisms in Pest Control
  • Smart Agriculture and AI
  • Microbial bioremediation and biosurfactants
  • Plant Virus Research Studies
  • Agricultural Innovations and Practices
  • Big Data and Business Intelligence
  • Service-Oriented Architecture and Web Services
  • Pharmaceutical and Antibiotic Environmental Impacts
  • FinTech, Crowdfunding, Digital Finance
  • Insect and Pesticide Research
  • Climate change impacts on agriculture
  • Plant responses to elevated CO2
  • Weed Control and Herbicide Applications
  • Water-Energy-Food Nexus Studies
  • Library Science and Information Literacy

International Institute of Tropical Agriculture
2023

International Centre of Insect Physiology and Ecology
2023

International Institute of Tropical Agriculture
2023

International Food Policy Research Institute
2019-2022

International Center for Tropical Agriculture
2022

CGIAR
2016-2021

Cornell University
1995-2012

International Centre for Integrated Mountain Development
2010

Technische Universität Braunschweig
1994

Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture agrifood systems requires quality labeling or annotation in order to be interoperable. As recommended the FAIR principles, data, labels, metadata must use controlled vocabularies ontologies that are popular knowledge domain commonly used community. Despite existence of robust Life Sciences, there is currently no comprehensive full set for across agricultural disciplines. In this paper, we discuss...

10.1016/j.patter.2020.100105 article EN cc-by-nc-nd Patterns 2020-09-25

Transgenic Bt corn expressing the Cry3Bb insecticidal protein active against rootworm (CRW) (Diabrotica spp.; Coleoptera: Chrysomelidae) was released for commercial use in 2003 and is expected to be widely adopted. Yet, direct indirect risks soil microorganisms of growing this CRW-resistant versus applying insecticides control have not been assessed under field conditions. The effects CRW insecticide tefluthrin [2,3,5,6-tetrafluoro-4-methylbenzyl...

10.2134/jeq2004.0837 article EN Journal of Environmental Quality 2004-05-01

Photosynthetic assimilation of CO2 is a primary source carbon in soil and root exudates can influence the community dynamics rhizosphere organisms. Thus, if partitioning affected transgenic crops, microbial communities may also be affected. In this study, temporal effects gene transformation on rice were investigated under greenhouse conditions using 13C pulse-chase labeling method phospholipid fatty acid (PLFA) analysis. The contents leaves (Bt) nontransgenic (Ck) significantly different at...

10.1111/j.1574-6941.2008.00599.x article EN FEMS Microbiology Ecology 2008-11-19

The paper gives examples of the bioinformatics services provided in a variety different libraries by librarians with broad range educational background and training.Two investigators sent an email inquiry to attendees "National Center for Biotechnology Information's (NCBI) Introduction Molecular Biology Information Resources" or "NCBI Advanced Workshop Bioinformatics Specialists (NAWBIS)" courses. thirty-five-item questionnaire addressed areas such as background, library setting, types...

10.3163/1536-5050.100.2.008 article EN Journal of the Medical Library Association JMLA 2012-04-01

<ns4:p>Scientific innovation is increasingly reliant on data and computational resources. Much of today’s life science research involves generating, processing, reusing heterogeneous datasets that are growing exponentially in size. Demand for technical experts (data scientists bioinformaticians) to process these at an all-time high, but not typically trained good management practices. That said, we have come a long way the last decade, with funders, publishers, researchers themselves making...

10.12688/f1000research.23889.1 preprint EN cc-by F1000Research 2020-06-02

Abstract Since the first commercial release of a transgenic crop in 1994, land area planted to these crops has expanded over 90 million ha worldwide, with approximately 8.5 farmers 21 countries cultivating crops. Public apprehension mounted apace. Concerns include: (i) potential for gene flow into wild plant populations or soil organisms; (ii) adverse effects on non-target (iii) products residues persisting environment deleterious and, insecticidal crops; (iv) resistance developing target...

10.1080/00220380601055593 article EN The Journal of Development Studies 2007-01-01

Abstract Traditional simulation models are often point based; thus, more research is needed to emphasize spatial simulation, providing decision‐makers with fast recommendations. Combining machine learning algorithms process‐based could be considered an appropriate solution. We created a model in R (APSIMx_R) generate fine‐resolution data from coarse‐resolution data, which typically available at the regional level. The APSIM crop outputs were then deployed train and test artificial neural...

10.1002/agj2.21470 article EN cc-by-nc-nd Agronomy Journal 2023-09-12

ABSTRACT Despite the rapid adoption of crops expressing insecticidal Cry protein(s) from Bacillus thuringiensis (Bt), public concern continues to mount over potential environmental impacts. Reduced residue decomposition rates and increased tissue lignin concentrations reported for some Bt corn hybrids have been highlighted recently as they may influence soil carbon dynamics. We assessed effects MON863 corn, producing Cry3Bb protein against rootworm complex, on these aspects associated...

10.1128/aem.01954-10 article EN Applied and Environmental Microbiology 2010-12-11

To help faculty, researchers, and students in the life sciences discover common interests make connections, Cornell University Library has created a virtual community that uses an entity-relationship ontology model to organize present information on people, research, education activities. This single point of access for scholarly activity at ? VIVO (http://vivo.library.cornell.edu) transcends campus, college department structure provide students, administrative service officials, prospective...

10.1045/july2007-devare article EN D-Lib Magazine 2007-07-01

Abstract Remediation of contaminated soil by inoculated bacteria requires movement the to site contamination. Addition a phenanthrene‐metabolizing Psudomonas sp. surface 1.5‐cm columns sterile or nonsterile aquifer sand resulted in rapid mineralization phenanthrene present top 0.4 cm receiving intermittent no water flow. However, surface‐inoculated pseudomonad mineralized little substrate bottom 0.4‐cm portion that had been sterilized prior inoculation, although occurred at sand. Little...

10.2136/sssaj1995.03615995005900050017x article EN Soil Science Society of America Journal 1995-09-01

Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture agrifood systems requires quality labelling to be interoperable. As recommended the FAIR principles, data, labels metadata must use controlled vocabularies ontologies that are popular in knowledge domain commonly used community. Despite existence of robust Life Sciences, there is currently no agreed full set for annotation across agricultural disciplines, which may span genetics, environment,...

10.2139/ssrn.3565982 article EN SSRN Electronic Journal 2020-01-01

<ns4:p><ns4:italic>Background: </ns4:italic>Opportunities to use data and information address challenges in international agricultural research development are expanding rapidly. The of trial evaluation has enormous potential improve crops management practices. However, for a number reasons, this yet be realized. This paper reports on the experience <ns4:italic>AgTrials</ns4:italic> initiative, an effort build online database trials applying principles interoperability open access....

10.12688/f1000research.11179.2 preprint EN cc-by F1000Research 2017-10-09

Agricultural research has been traditionally driven by linear approaches dictated hypothesis-testing. With the advent of powerful data science capabilities, predictive, empirical are possible that operate over large pools to discern patterns. Such need contain well-described, machine-interpretable, and openly available (represented high-scoring Findable, Accessible, Interoperable, Reusable—or FAIR—resources). CGIAR's Platform for Big Data in Agriculture developed several solutions help...

10.3389/fsufs.2021.726646 article EN cc-by Frontiers in Sustainable Food Systems 2021-10-11
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