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Appears in Collections:University of Stirling Research Data
Title: Data from 'Quantifying the potential of 'on-farm' seed priming to increase crop performance in developing countries. A meta-analysis'
Creator(s): Carrillo Reche, Javier
Vallejo-Marin, Mario
Quilliam, Richard
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Keywords: Crop yield
Seed priming
Low-input agriculture
Seed technology
Date Available: 15-Aug-2018
Citation: Carrillo 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. Dataset and Image.
Publisher: University of Stirling
Dataset Description (Abstract): Over 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).
Dataset Description (TOC): ESM1: 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.
Type: dataset
Funder(s): Other
Contract/Grant Number: 2015-60
Rights: Rights covered by the standard CC-BY 4.0 licence:
Affiliation(s) of Dataset Creator(s): University of Stirling (Biological and Environmental Sciences)

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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