Data and code from: The Impacts of Parental Choice and Intrapopulation Selection for Seed Size on the Uprightness of Progeny Derived from Interspecific Hybridization between Glycine max and Glycine soja
This dataset contains all data and code necessary to reproduce the analysis described under the heading "Experiment 3" in the manuscript:
Taliercio, E., Eickholt, D., Read, Q. D., Carter, T., Waldeck, N., & Fallen, B. (2023). Parental choice and seed size impact the uprightness of progeny from interspecific Glycine hybridizations. Crop Science. https://doi.org/10.1002/csc2.21015
Included are .Rmd notebook containing code, HTML rendered output of notebook, and .xlsx data files required to reproduce analyses described in notebook.
UGA Variety Testing Soybean Evaluations 2016-2019: ARDN products
ARDN (Agricultural Research Data Network) annotations for UGA Variety Testing Soybean Evaluations 2016-2019. This data was collected and published by University of Georgia's Statewide Variety Testing program from 2016-2019. It consists of experimental (non-regulated) and commercially-released soybean germplasm entered by seed companies, universities and USDA breeding programs.
UGA Variety Testing Corn Silage Evaluations 2016-2019: ARDN products
ARDN (Agricultural Research Data Network) annotations for UGA Variety Testing Corn Silage Evaluations 2016-2019. This data was collected and published by University of Georgia's Statewide Variety Testing program from 2014-2019. It consists of experimental (non-regulated) and commercially-released corn hybrids entered by seed companies.
UGA Variety Testing Corn Grain Evaluations 2014-2019: ARDN products
ARDN (Agricultural Research Data Network) annotations for UGA Variety Testing Corn Grain Evaluations 2014-2019. This data was collected and published by University of Georgia's Statewide Variety Testing program from 2014-2019. It consists of experimental (non-regulated) and commercially-released corn hybrids entered by seed companies.
Data from: Genetic mapping and QTL analysis for peanut smut resistance
This collection contains supplementary information for the manuscript “Genetic mapping and QTL analysis for peanut smut resistance”, which reports the genetic map and quantitative trait loci associated with resistance to peanut smut, a disease caused by the fungus *Thecaphora frezii*. The information includes genotyping data of a 103 recombinant inbred line (RIL) population {susceptible *Arachis hypogaea* subsp. *hypogaea* × resistant synthetic amphidiploid [(*A. correntina* × *A. cardenasii*) × *A. batizocoi*]4×} and parental lines, generated with the Axiom_Arachis2 SNP array.
LTAR Upper Mississippi River Basin - Morris - Swan Lake Research Farm Phenocam
NAL Geospatial Catalog
The PhenoCam network is collecting color and near infrared images year-round using cameras in fixed positions on agricultural lands including a site located on the Swan Lake Research Farm. The network effort was initiated in 2015 at this long-term, plot-scale research site. The camera at the research farm on focused a plot-scale, replicated research study that was established in 1997 to assess the long-term impacts of various tillage management options on soil organic carbon
UGA Variety Testing Soybean Evaluations 2016-2019
This data was collected and published by University of Georgia's Statewide Variety Testing program from 2016-2019. It consists of experimental (non-regulated) and commercially-released soybean germplasm entered by seed companies and public institutions.
UGA Variety Testing Corn Silage Evaluations 2016-2019
This data was collected and published by University of Georgia's Statewide Variety Testing program from 2016-2019. It consists of experimental (non-regulated) and commercially-released corn hybrids entered by seed companies.
Irrigation Residue Removal Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network and Resilient Economic Agricultural Practices in Lincoln, Nebraska
USDA-ARS REAP Study (Ithaca, NE) - NEMEIRR Sustainable intensification of high-yielding production systems may help meet increasing demands for food, fuel, and fiber worldwide. Specifically, corn stover is being removed by producers for livestock purposes, and stover is also targeted as a primary 2nd generation biofuel feedstock. The NEMEIRR experimental objectives are to quantify how stover removal (no removal, moderate removal, high removal) and tillage management (no-till, disk) affect crop yields, soil organic carbon, soil greenhouse gas emissions, and other soil responses (microbial community structure, function; soil health). This experiment is conducted in a fully irrigated continuous corn system in the western Corn Belt, and soil and plant measurements have been taken since study establishment in 2001.