Search

University of Guelph Dataverse Logo
Can application of enhanced efficiency fertilizers at planting reduce N losses from grain corn production in Ontario? Restricted content
Claudia Wagner-Riddle Lab — 2019-12-10 This work was supported through the 4R Research Network with funding provided by Agriculture and Agri-Food Canada’s AgriInnovation Program (Growing Forward 2), contributing Fertilizer Canada member companies to the North American 4R Research Fund and Fertilizer Canada’s Science Cluster program. The Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA)/University of Guelph Partnership provided funding for use of the Elora Research Station fields. This project evaluated a combination of Right Time and Right Product practices aimed at reducing these environmental nitrogen losses from corn. We addressed the following questions: 1) Can application of the Right Product at planting reduce environmental losses compared to the regular fertilizer application? 2) Can application of nitrogen at the Right Time reduce environmental losses compared to the fertilizer application at planting? 3) Can application of a combination of Right Product and Right Time provide additional reduction of environmental nitrogen losses? The Right Product consisted of either an urea-based enhanced efficiency fertilizer (EEF, urea with nitrification and urease inhibitor) or an urea-ammonium-nitrate (UAN)-based EEF (UAN with nitrification and urease inhibitor). The Right Time consisted in delaying application until the 6-8th leaf stage (application as side-dress). Environmental nitrogen losses considered were emissions of the greenhouse gas nitrous oxide and leaching losses in the form of nitrate.
University of Guelph Dataverse Logo
Dataset for: 'The effect of creep feed composition and form on pre- and post-weaning growth performance of pigs and the utilization of low-complexity nursery diets' and 'The effect of creep feed composition and form and nursery diet complexity on small intestinal morphology and jejunal mucosa specific enzyme activities after weaning in pigs'
Christensen, Brenda; Huber, Lee-Anne — 2022-04-21 Sows’ milk as a sole source of nutrients limits growth of piglets and fails to habituate piglets to pelleted, plant-based post-weaning diets. The aim of this project was to evaluate pre- and post-weaning nutritional strategies on piglet growth performance, gut development, and immune response.
University of Guelph Dataverse Logo
Optimization and validation of a cost-effective protocol for biosurveillance of invasive alien species Restricted content
Milián-García, Yoamel; Young, Robert; Madden, Mary; Bullas-Appleton, Erin; Hanner, Robert H. — 2020-11-26 <p><b>NOTES ON BROWSING:</b></p> <p>Click on the "Tree" view to identify folder structure and related files.</p> Environmental DNA (eDNA) metabarcoding has revolutionized biodiversity monitoring and invasive pest biosurveillance programs. The introduction of insect pests considered invasive alien species (IAS) into a non-native range poses a threat to native plant health. The early detection of IAS can allow for prompt actions by regulating authorities, thereby mitigating their impacts. In the present study, we optimized and validated a fast and cost-effective eDNA metabarcoding protocol for biosurveillance of IAS and characterization of insect and microorganism diversity. Forty-eight traps were placed, following the CFIA’s annual forest insect trapping survey, at four locations in southern Ontario that are high risk for forest IAS. We collected insects and eDNA samples using Lindgren funnel traps that contained a saturated salt (NaCl) solution in the collection jar. Using cytochrome c oxidase I (COI) as a molecular marker, a modified Illumina protocol effectively identified 2,535 Barcode Index Numbers (BINs). BINs were distributed among 57 Orders and 304 Families, with the vast majority being arthropods. Two IAS (Agrilus planipennis and Lymantria dispar) are regulated by the Canadian Food Inspection Agency (CFIA) as plant health pests, are known to occur in the study area, and were identified through eDNA in collected traps. Similarly, using 16S ribosomal RNA and nuclear ribosomal internal transcribed spacer (ITS), five bacterial and three fungal genera, which contain species of regulatory concern across several Canadian jurisdictions, were recovered from all sampling locations. Our study results reaffirm the effectiveness and importance of integrating eDNA metabarcoding as part of identification protocols in biosurveillance programs.
University of Guelph Dataverse Logo
Improving fungicide efficacy for management of Cercospora leaf spot in sugarbeet Restricted content
Thornton, Kendra; Schaafsma, Art; Deveau, Jason; Trueman, Cheryl — 2021-06-30 <p><b>NOTES ON BROWSING:</b></p><p>Click on the "Tree" view to identify folder structure and related files.</p> Cercospora leaf spot is a serious disease that reduces sugarbeet yield and sugar quality. Due to fungicide resistance of C. beticola, effective fungicide options are becoming increasingly limited. Improving the efficacy of remaining fungicides is necessary to ensure their use is both effective and contributes to sustainable fungicide practices. The use of deposition aids and optimum carrier volumes to improve fungicide penetration and deposition may provide more effective applications, resulting in improved disease management. The objectives of this research are: (i) to evaluate the effect of a deposition aid on fungicide efficacy at different application carrier volumes, (ii) to evaluate the effect of the deposition aid MVO on spray deposition and penetration within the sugarbeet canopy.
University of Guelph Dataverse Logo
Winter warming effects on overwinter survival, energy use, and spring emergence of the bean leaf beetle Cerotoma trifurcata 2010 to 2013 [South-central Ontario, Canada]
Berzitis, Emily A.; Hunter, Kaelyn; Sinclair, Brent J.; Hallett, Rebecca H.; Hager, Heather A.; Newman, Jonathan A. — 2016 The original publication (see Related Publication) and this data set should both be cited if these data are used; see the original publication for detailed methods. The potential effects of warmer winters and fluctuating thermal regimes on overwintering bean leaf beetle (Cerotoma trifurcata) using field and laboratory experiments was assessed. The 3 year (Winter of 2010-2011, 2011-2012, and 2012-2013) field experiment involved three warming levels: heated ~4 degrees Celsius above ambient, unheated with snow cover left intact, and unheated with snow cover removed. Survival and date of emergence were examined in all years, and beetle lipid content was analyzed in one year to determine rates of energy use. The laboratory experiment assessed effects of frequency and duration of fluctuating thermal regimes on survival.
University of Guelph Dataverse Logo
Ontario soybean prices, 2021 [Canada] Restricted content
University of Guelph, Ridgetown Campus — 2021-06-07 <p><b>Off-campus access for U of G faculty, students, and staff</b></p> <p>Access to these data is restricted to current University of Guelph faculty, students, and staff. If you are a U of G faculty, student, or staff member accessing these data from a U of G campus (including the main U of G campus, Ridgetown campus, or Guelph-Humber campus), you will have immediate access to view and download these data.</p> <p>If you are a U of G faculty, student, or staff member attempting to access these data while off-campus, please use the <a href="https://doi-org.subzero.lib.uoguelph.ca/10.5683/SP2/OHMCXM">Ontario soybean prices, 2021 [Canada] off-campus access dataset link</a> and sign in using your U of G username and password to gain access to these data.</p> <p>This data set contains Ontario soybean grain prices collected by University of Guelph, Ridgetown Campus. The dataset includes daily prices of agricultural commodities at individual elevators in Ontario. Daily highs and lows are given for each commodity, as well as, daily Bank of Canada exchange rates.</p>
University of Guelph Dataverse Logo
Subsamples of ALUS Southern Ontario Insects
ALUS (Alternative Land Use Services); Schneider, Stefan; Fryxell, John — 2021-10-25 Insect biodiversity is a key indicator for ecological well-being when measuring the success of restorative efforts. Malaise insect traps from 32 different restoration, conservation, and high impact farming sites across southern Ontario, Canada have been used to collect 1.4 million individuals. Here we include 505 images (434 sorted, 71 mixed) of approximately 20 individuals per image as a machine learning dataset. We also include a subset of these datasets containing extracted individuals (11,387 sorted, 1,772 mixed). Images were captured using a high resolution camera on a backlit background. <p><b>NOTES ON BROWSING:</b></p><p>Click on the "Tree" view to identify folder structure and related files.</p>
University of Guelph Dataverse Logo
Multiple-object tracking and visually guided touch
Terry, Mallory E.; Trick, Lana M. — 2021-03-23 <p><b>NOTES ON BROWSING:</b></p> <p>Click on the "Tree" view to identify folder structure and related files.</p> The purpose of this project was to investigate if multiple-object tracking (MOT) and visually guided touch rely on a common, limited-capacity resource. To do so, participants completed the MOT task and were required to touch items that changed colour while tracking.
University of Guelph Dataverse Logo
Validation of an effective protocol for Culicoides Latreille (Diptera: Ceratopogonidae) detection using eDNA metabarcoding
Milián-García, Yoamel; Janke, Lauren A. A.; Young, Robert; Ambagala, Aruna; Hanner, Robert H. — 2021-04-19 eDNA metabarcoding is an effective molecular-based identification method for the biosurveillance of flighted insects. An eDNA surveillance approach maintains specimens for secondary morphological identification useful for regulatory applications. This study identified Culicoides species using eDNA metabarcoding and compared these results to morphological identifications of trapped specimens. Insects were collected using ultra-violet (UV) lighted fan traps containing a saturated salt (NaCl) solution from two locations in Guelph, Ontario, Canada. There were forty-two Culicoides specimens collected in total. Molecular identification detected four species, C. biguttatus, C. stellifer, C. obsoletus, and C. mulrennani. Using morphological identification, two out of these four taxonomic ranks were confirmed at the species level (C. biguttatus and C. stellifer), one was confirmed at the subgenus level (Avaritia [C. obsoletus]). No molecular detection of Culicoides species occurred in traps with an abundance of less than three individuals per taxon. The inconsistency in identifying Culicoides specimens to species punctuates the need for curated DNA reference libraries for Culicoides. In conclusion, the saturated salt (NaCl) solution preserved the Culicoides' morphological characters and the eDNA.
University of Guelph Dataverse Logo
Weather Records for the Elora Research Station, Elora, Ontario [Canada]: Meteorological data 1989 to 1993
Agricultural and Forest Meteorology Group. Elora Research Station/Guelph Turfgrass Institute — 1993 The University of Guelph, School of Environmental Sciences, Agricultural and Forest Meteorology Group, in cooperation with Environment Canada, maintains an automatic weather station at the Elora Research Station located a few kilometres south of Elora, Ontario. This station collects hourly climatic data including air temperature, relative humidity, wind direction and speed, solar radiation, net radiation, precipitation, and soil temperature. This data set includes climatic data collected from 1989 to 1993, and is presented as monthly data files broken down into four categories: hourly data, 0800 data (maximum/minimum values for data collected from 1600 yesterday to 0800 today), 1600 data (maximum/minimum values for data collected from 0800 today to 1600 today), and rain (every minute of occurrence) data. Annual files are also available for hourly, 0800 and 1600 data. Supplement data collected by hand, including temperature, humidity and precipitation data, organized by year is included.
University of Guelph Dataverse Logo
Dataset for: Standardized ileal digestible amino acids and net energy contents in full fat and defatted black soldier fly larvae meals (Hermetia illucens) fed to growing pigs
Crosbie, Michelina; Zhu, Cuilan; Shoveller, Anna K.; Huber, Lee-Anne — 2021-03-18 Two experiments were conducted to determine standardized ileal digestibility (SID) of AA (Exp. 1) and net energy (Exp. 2) in two black soldier fly larvae meal (BSFLM) samples [full fat (FF; 42.5% CP, as-fed) and defatted (DF; 40.8% CP; as-fed)] for growing pigs. Two cornstarch-based diets were formulated with FF and DF BSFLM as the sole sources of AA. A nitrogen-free diet was also used and the corn starch:sucrose:oil ratio was kept constant among diets to calculate DE by difference method. In each Exp., pigs were fed 2.8 × estimated maintenance energy requirement. In Exp. 1, 8 ileal-cannulated barrows were used in a replicated 2 × 2 Latin square design (n = 8). In each period, pigs were adapted to diets for 5 days followed by 2 days of continuous ileal digesta collection for 8 hours. The SID of AA were calculated using basal endogenous losses for pigs fed a nitrogen-free diet. In Exp. 2, 8 barrows were used in a partially replicated Latin square design (n = 8). In each period, pigs were adapted to diets for 7 days, followed by 5 days of total urine collection and fecal grab sampling.
University of Guelph Dataverse Logo
Hypoxia-seeking behavior, metabolic depression and skeletal muscle function in an amphibious fish out of water Restricted content
Wright, Patricia A.; Rossi, Giulia S. — 2019 <p><b>Notes on browsing:</b></p> <p>Click on the "Tree" view to identify folder structure and related files.</p> <p><b>Notes on preservation:</b>:</p> <p>The original data files were multi-spreadsheet Excel workbooks. They are presented here as individual spreadsheets. The content of the workbooks have been exported into preservation-friendly formats and stored in the <i>Preservation Files</i> zip archive.</p> Several animals enter a state of dormancy to survive harsh environmental conditions. During dormancy, metabolic depression can be critical for economizing on limited endogenous energy reserves. We used two isogenic strains (strain 1 and strain 2) of a self-fertilizing amphibious fish (Kryptolebias marmoratus) to test the hypothesis that animals seek hypoxic microhabitats that accentuate metabolic depression during dormancy. Fish were placed in custom experimental choice chambers that maintained an O2 gradient (normoxic to hypoxic) to determine the preferred O2 level of fish out of water. We then measured the O2 consumption rate of water- (control) and air-acclimated (21 days) fish in aerial normoxia, as well as the O2 consumption rate of air-acclimated fish acutely exposed to aerial hypoxia. We then tested the hypothesis that chronic hypoxia acclimation in air would protect endogenous energy reserves and skeletal muscle integrity, thereby maintaining locomotor performance. The hypothesis predicts that K. marmoratus acclimated to aerial hypoxia will deplete energy stores more slowly, demonstrate less skeletal muscle atrophy and have better locomotor performance than fish acclimated to aerial normoxia, presumably owing to hypoxic hypometabolism. We measured the whole-body [glycogen] and lipid content in fish acclimated to water (control), air and aerial hypoxia for 21 days. The cross-sectional area of red and white muscle fibers was also measured, as well as terrestrial locomotor performance (tail-flip jumping).
University of Guelph Dataverse Logo
Weather records for the Guelph Turfgrass Institute, Guelph, Ontario [Canada]: Meteorological data 2014
Agrometeorology Group. Elora Research Station/Guelph Turfgrass Institute — 2014 The Agrometeorology Group, School of Environmental Sciences, University of Guelph in cooperation with Environment Canada, maintains an automatic weather station at the Guelph Turfgrass Institute located in Guelph, Ontario. This station collects hourly climatic data including air temperature, relative humidity, wind direction and speed, and precipitation. This data set includes climatic data collected from January 1, 2014 to December 31, 2014, and is presented as an annual file of hourly data and an annual file of precipitation data.
University of Guelph Dataverse Logo
Weather records for the Elora Research Station, Elora, Ontario [Canada]: Meteorological data 2016
Agricultural and Forest Meteorology Group. Elora Research Station/Guelph Turfgrass Institute — 2016 The Agricultural and Forest Meteorology Group, School of Environmental Sciences, University of Guelph in cooperation with Environment Canada, maintains an automatic weather station at the Elora Research Station located a few kilometres south of Elora, Ontario. This station collects hourly climatic data including air temperature, relative humidity, wind direction and speed at 2m and 10m above ground, solar radiation, longwave radiation, precipitation, snow on ground, snowfall, amount of sunshine, and water table height. This data set includes climatic data collected from January 1, 2016 to December 31, 2016, and is presented as an annual file of hourly data.
University of Guelph Dataverse Logo
Assessing environmental attributes and effects of climate change on Sphagnum peatland distributions in North America using single- and multi-species models
Oke, Tobi A.; Hager, Heather A. — 2017-10-18 The data archived here are (1) raw climate data used for current and future global climate projections using the Hadley Centre Global Environmental Model (HadGEM2-ES), the NASA Goddard Institute for Space Studies model (GISS-E2-R), and the Beijing Climate Center Climate System Model (BCC-CSM1-1) for representative concentration pathway +2.6; (2) resulting GIS species distribution maps for several Sphagnum species and species combinations using Maxent. The baseline data covers the time period of 1950 to 2000. The future data covers the time periods 2041 to 2070. Data extraction from databases was conducted in January 2016. The original publication (see Related Publication) and this data set should both be cited if these data are used; see the original publication for detailed methods.
University of Guelph Dataverse Logo
Ontario White Bean Registration and Performance Trials, Blyth, Brussels, Elora, Kippen, Highbury, St. Thomas and Woodstock, Ontario [Canada] 2011 and 2012 Restricted content
Navabi, Dr. Ali; Pauls, Dr. Peter — 2012 This study is part of the Field Bean Breeding Program, a multidisciplinary approach towards developing bean varieties for sustainable dry bean production in Ontario. As part of this program, registration and performance tests are conducted annually at various locations across the main bean growing areas in Ontario. This study provides the results of the 2011 and 2012 White Bean Registration and Performance Trials where several varieties of white beans were evaluated in multi-location yield-trials across Ontario. In 2011, white bean entries were planted in four replicated test plots at six locations across Ontario; Brussels, Elora, Highbury, Kippen, St. Thomas, and Woodstock. In 2012, white bean entries were planted in four replicated test plots at six locations across Ontario; Blyth, Elora, Highbury, Kippen, St. Thomas, and Woodstock. Agronomic data including yield (adjusted to 18% moisture after combine harvest), days to maturity (number of days from planting to maturity), seed weight (estimated for 100 seeds), and seed quality were collected for each plot in each location. Disease resistance data including common bacterial blight, anthracnose, root rot, and white mould is also included.

Map search instructions

1.Turn on the map filter by clicking the “Limit by map area” toggle.
2.Move the map to display your area of interest. Holding the shift key and clicking to draw a box allows for zooming in on a specific area. Search results change as the map moves.
3.Access a record by clicking on an item in the search results or by clicking on a location pin and the linked record title.
Note: Clusters are intended to provide a visual preview of data location. Because there is a maximum of 1000 records displayed on the map, they may not be a completely accurate reflection of the total number of search results.

(Source Repository: University of Guelph Dataverse)

Limit by:

Clear all

to