6 research outputs found

    Conservation Tillage Effects on European Crop Yields: A Metadata Analysis

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    We were hypothesizing that ridge-till and strip-till can improve crop yields under European agroecosystems in contrast with the often observed reduction in yields under No Tillage and Reduced Tillage.To answer the hypothesized question, and based on our data, it can be stated that yields are indeed not optimal under no till as opposed to RT and ST where yields are higher than those of conventional tillage. The raw data shows every parameter and data extracted from peer reviewed articles while the analyzed shows the data obtained from running the meta-analysis by fitting random and mixed effect models.Raw dataHere, the data consists of all parameters and variables extracted from the peer-reviewed articles that met the inclusion criteria. Also, there is a metadata sheet with all abbreviations and their meaning. Analyze dataHere, the estimate, lower (ci.lb) and upper (ci.ub) confidence intervals are in log transform format. Thus, taking the exponent gives the response ratio. Se =standard error, zval= z correlation, pval =p value, RT (ridge-till) and RH (number) = ridge height. C =Cotton, Cr = Carrot, RD = Dandellion, T=Tulips, GM= grain maize, WC= winter cereal, SB =sugar beet, SC=spring cereal, P =potato. Also, there is a metadata sheet with all abbreviations and their meaning. GraphFig. 1. Forest plot showing data plot of estimated average response ratios (RR) for No (NT), Ridge (RT) and Strip (ST) tillage based on random effects model. n is sample size/number of studies for the specific tillage type. The error bars represent the 95% confidence intervals CI. The square shapes represent the estimated RR and their size correspond to their weight (based on its sample size). The vertical broken line represents the line of no effectTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
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