Data and R code: Towards sustainable maize production in the U.S. upper Midwest with interseeded cover crops
2019-07-17
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2016-06-15
2019-06-15
2019-06-15
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2019-07-15
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Title
Data and R code: Towards sustainable maize production in the U.S. upper Midwest with interseeded cover crops
Published Date
2019-07-17
Author Contact
Garcia y Garcia, Axel
axel@umn.edu
axel@umn.edu
Type
Dataset
Abstract
Six cover crop treatments were interseeded into maize at two distinct timings: at the four to six-leaf collar stage and at physiological maturity. The canopy cover and biomass of cover crops, soil moisture at planting maize, and maize biomass and yield were evaluated to determine the potential impacts of interseeded cover crops on maize productivity.
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The data is saved as .csv files and can be viewed in Microsoft Excel workbook and/or R statistical software. The data was collected at field and entered into master files, from which the data to create the .csv files was taken.
Referenced by
Rusch, H. L., Coulter, J. A., Grossman, J. M., Johnson, G. A., Porter, P. M., & Garcia y Garcia, A. (2020). Towards sustainable maize production in the US upper Midwest with interseeded cover crops. Plos one, 15(4), e0231032.
https://doi.org/10.1371/journal.pone.0231032
https://doi.org/10.1371/journal.pone.0231032
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Minnesota Corn Researh & Promotion Council
MnDRIVE Global Food Ventures Fellowship
MnDRIVE Global Food Ventures Fellowship
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Rusch, Hannah L; Garcia y Garcia, Axel; Coulter, Jeffrey A; Johnson, Gregg A; Grossman, Julie M; Porter, Paul M. (2019). Data and R code: Towards sustainable maize production in the U.S. upper Midwest with interseeded cover crops. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/v7fs-9589.
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Rusch_DRUM_files.zip
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rusch2019-ReadmeF_Codebook.txt
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(23.57 KB)
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