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Illinois Data Bank Dataset Search Results
Dataset Search Results
published: 2016-12-14
Brown, Patrick (2016): 11IL005. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0094019_V1
published: 2016-12-14
Brown, Patrick (2016): 12IL003-12IL007. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8561435_V1
published: 2016-12-14
Brown, Patrick (2016): 13IL004,13IL011,13IL012. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6530647_V1
published: 2016-12-14
Brown, Patrick (2016): 12IL011-12IL013. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4475836_V1
published: 2016-12-14
Brown, Patrick (2016): 12IL015-12IL023. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3520220_V1
published: 2016-11-30
Spyreas, Greg; Zaya, David N.; Pearse, Ian (2016): Long-term Trends in Midwestern Milkweeds and their Relevance for Monarchs. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5072223_V1
This is the dataset used in the BioScience publication of the same name. More information about this dataset: Interested parties can request data from the Critical Trends Assessment Program, which was the source for the data on natural areas in this study. More information on the program and data requests can be obtained by visiting the program webpage. Critical Trends Assessment Program, Illinois Natural History Survey. http://wwx.inhs.illinois.edu/research/ctap/ These spatial datasets were used for analyses: Illinois Natural History Survey. 2003. Illinois GAP analysis land cover classification 1999-2000, 1:100 000 Scale, Raster Digital Data, Version 2.0. Champaign, IL, USA. Illinois State Geological Survey. 1995. Illinois Landcover Thematic Map Coverage Map 1991-1995. Champaign, IL, USA. Illinois State Geological Survey. 2001. Illinois Landcover Thematic Map Coverage Map 1999-2000. Champaign, IL, USA. USDA National Agricultural Statistics Service Cropland Data Layer. 1999-2015. Published crop-specific data layer [Online]. Available at https://nassgeodata.gmu.edu/CropScape/. USDA-NASS, Washington, DC. Information on agricultural practices and landcover changes were derived from the following U.S. Department of Agriculture (USDA) resources: USDA Economic Research Service. 2016. Adoption of Genetically Engineered Crops in the U.S. Available at http://www.ers.usda.gov/data-products/. USDA-ERS, Washington, DC. USDA Natural Resources Conservation Service. 2015. Summary Report: 2012 National Resources Inventory. https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcseprd396218.pdf. USDA-NRCS, Washington, DC, and Center for Survey Statistics and Methodology, Iowa State University, Ames, Iowa.
keywords:
Milkweed; Monarch Butterfly; CTAP Critical Trends Assessment Program; BioScience
published: 2016-07-22
Clark, Lindsay V.; Dzyubenko, Elena; Dzyubenko, Nikolay; Bagmet, Larisa; Sabitov, Andrey; Chebukin, Pavel; Johnson, Douglas A.; Kjeldsen, Jens Bonderup; Petersen, Karen Koefoed; Jørgensen, Uffe; Yoo, Ji Hye; Heo, Kweon; Yu, Chang Yeon; Zhao, Hua; Jin, Xiaoli; Peng, Junhua; Yamada, Toshihiko; Sacks, Erik J. (2016): Data from: "Ecological characteristics and in situ genetic associations for yield-component traits of wild Miscanthus from eastern Russia". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4084515_V1
Datasets and R scripts relating to the manuscript "Ecological characteristics and in situ genetic associations for yield-component traits of wild Miscanthus from eastern Russia" published in Annals of Botany, 10.1093/aob/mcw137. Field data, including collection locations, physical and ecological information for each location, and plant phenotypes relating to biomass are included. Genetic data in this repository include single nucleotide polymorphisms (SNPs) derived from restriction site-associated DNA sequencing (RAD-seq), as well as plastid microsatellites. A file is also included listing the DNA sequences of all RAD-seq markers generated to-date by the Sacks lab, including those from this publication.
keywords:
Miscanthus sacchariflorus; Miscanthus sinensis; Russia; germplasm; RAD-seq; SNP