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ZENODO
Article . 2019
License: CC BY SA
Data sources: Datacite
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ZENODO
Article . 2019
License: CC BY SA
Data sources: Datacite
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ZENODO
Article . 2019
License: CC BY SA
Data sources: ZENODO
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Data: Breeding improves wheat productivity under contrasting agrochemical input levels

descriptionPublicationkeyboard_double_arrow_right Article 07 May 2019 English Publisher:Zenodo
Authors: Voss-Fels, Kai; Stahl, Andreas; Wittkop, Benjamin; Lichthardt, Carolin; Nagler, Sabrina; Rose, Till; Chen, Tsu-Wei; +10 Authors

doi: 10.5281/zenodo.1316946 , 10.5281/zenodo.1316947

Data: Breeding improves wheat productivity under contrasting agrochemical input levels

Abstract

This is the experimental data set of Voss-Fels, et. al. (2019. Nature Plants). The first table (NP2019_MainExperiment_adjMeans.csv) presents the adjusted mean trait data of the full panel of 191 elite winter wheat cultivars in the main experiment. Data for each trait were considered independently for each of three cropping intensities. High, medium and low intensities represent HiN/HiF, HiN/NoF and LoN/NoF, respectively. Details are described in the supplementary Figure 2.The second table (NP2019_ValidationExperiment_adjMeans.csv) presents the adjusted mean yield of 52 elite winter wheat cultivars in the validation experiment.

Contact: Dr. Tsu-Wei Chen (ORCID: 0000-0001-6698-563X), Leibniz Universität Hannover.

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Keywords

climate change, wheat, breeding history, food security, agriculture

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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