Stress Combinations and their Interactions in Plants (SCIP) Database

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SCIP database - Methodology
Survey of literature, manual reading and collection of relevant articles Identification and extraction of values/data Carefully designed (including all variants) search terms were used to retrieve data for a stress combination. e.g., drought=water deficit PubMed, Web of Science, CAB abstracts, Agricola, Google, and back references of article Based on growth, yield, physiological and other data provided in the article, categorization was done as ‘main research’ and ‘ancillary’ articles This step depicts potential traits that can be utilized to screen for combined stress tolerance Plants under combined stress are less/equally affected as compared to one or both the individual stresses Plants under combined stress are affected to a greater extent compared to individual stresses This step covers extensive literature collection from combined stress studies In this step, morpho-physiological and /or biochemical parameters/ traits were considered for developing ‘data’ page This step depicts impact of combined stress on plants compared to individual stresses

This section comprises detailed information about ‘SCIP database’ construction. A flowchart depicting the various steps involved in developing data page for each study is
provided and further, each step is explained in detail separately (refer-methodology file). Separate link for the list of plant species, organisms, pathogens and terminologies
used is provided. A tutorial that can guide using ‘SCIP database’ is also provided separately. The integrated phenomics dataset can be accessed by the users as an HTML
interface and can be downloaded using "Raw/Processed data" link.

Click here for detailed methodology (.pdf)

Click here for list of Keywords used in SCIPdb (.pdf)

Click here for list of plant species, organisms, pathogen and terminologies (.pdf)

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