Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/123
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dc.contributorCarrillo Reche, Javier-
dc.contributor.otherOtheren_GB
dc.creatorCarrillo Reche, Javier-
dc.creatorVallejo-Marin, Mario-
dc.creatorQuilliam, Richard-
dc.date.accessioned2018-08-15T10:29:56Z-
dc.date.available2018-08-15T10:29:56Z-
dc.date.created2017-11-15-
dc.identifier.urihttp://hdl.handle.net/11667/123-
dc.description.abstractOver the past three decades, there has been a renewed interest in a traditional agronomic technique known as ‘on-farm’ seed priming, in part because of its simplicity and low-cost. ‘On-farm’ seed priming is a form of hydro-priming, which consists of soaking seeds in water for a number of hours, usually overnight, surface drying them (to allow limited storage) and sowing soon after. To date, only narrative reviews about ‘on-farm’ seed priming have been published; therefore, a more systematic approach, such as meta-analysis, is needed to quantitatively review this simple technology in terms of increased crop establishment and production. Meta-analysis is a powerful synthesis tool that is being increasingly adopted in agro-ecological disciplines, and using this approach will allow a large number of independent ‘on-farm’ seed priming case studies to be objectively analysed across different crop types and environments. A better understanding of the potential of ‘on-farm’ seed priming, and in which environments it could be most usefully promoted, could provide governmental institutions and policymakers in developing countries with the evidence to promote its adoption as recommended practice. The dataset here presented was generated form a literature search about "'on-farm' seed priming” carried out in ‘Web of Science Core Collection’ on 15 November 2017. This dataset contains 129 case studies from 44 papers containing paired comparison of unprimed vs. primed seed (17 crops across 10 countries in Asia and Africa).en_GB
dc.description.tableofcontentsESM1: Spreadsheet containing data from the 44 studies accounted in the meta-analysis. ESM2: Table of levels within each potential variable affecting priming performance. aKoppen climate classes (Kottek et al. 2006). ESM3: Table of measures used in characterizing publication bias for each effect size. 1Natural log of weighted summary effect size across case studies. 2Number of case studies imputed by the Duval and Tweedie ‘trim and fill’ method. 3Corrected summary effect after imputing missing case studies using Duval and Tweedie ‘trim and fill’ method. ESM4: Funnel plots for each of the three dataset. The vertical line indicates the fixed effect estimate. Open circles represent case studies imputed by the Duval and Tweedie ‘trim and fill’ method.en_GB
dc.language.isoengen_GB
dc.publisherUniversity of Stirling. Faculty of Natural Sciences.en_GB
dc.relationCarrillo Reche, J; Vallejo-Marin, M; Quilliam, R (2018): Data from 'Quantifying the potential of 'on-farm' seed priming to increase crop performance in developing countries. A meta-analysis'. University of Stirling. Faculty of Natural Sciences. Dataset and Image. http://hdl.handle.net/11667/123en_GB
dc.relation.isreferencedbyCarrillo-Reche, J., Vallejo-Marín, M. & Quilliam, R.S. (2018) Quantifying the potential of ‘on-farm’ seed priming to increase crop performance in developing countries. A meta-analysis. Agronomy for Sustainable Development. 38.6: 64. DOI: https://doi.org/10.1007/s13593-018-0536-0 Available from: http://hdl.handle.net/1893/28166en_GB
dc.rightsRights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/en_GB
dc.subjectCrop yielden_GB
dc.subjectSeed primingen_GB
dc.subjectLow-input agricultureen_GB
dc.subjectSeed technologyen_GB
dc.subject.classification::Agri-environmental scienceen_GB
dc.titleData from 'Quantifying the potential of 'on-farm' seed priming to increase crop performance in developing countries. A meta-analysis'en_GB
dc.typedataseten_GB
dc.typeimageen_GB
dc.typetexten_GB
dc.contributor.emailjavier.carrilloreche1@stir.ac.uken_GB
dc.identifier.projectid2015-60en_GB
dc.contributor.affiliationUniversity of Stirling (Biological and Environmental Sciences)en_GB
dc.contributor.othernewEkhaga Foundationen_GB
dc.date.publicationyear2018en_GB
Appears in Collections:University of Stirling Research Data

Files in This Item:
File Description SizeFormat 
ESM_.Cover-page.docx23.11 kBMicrosoft WordView/Open
ESM1. Meta-analysis dataset.xlsx29.76 kBMicrosoft Excel XMLView/Open
ESM2. Levels within moderator variables table.docx22.15 kBMicrosoft Word XMLView/Open
ESM3. Publication bias table.docx16.77 kBMicrosoft Word XMLView/Open
ESM4. Funnel plots.pdf52.48 kBAdobe PDFView/Open


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