Datasets

subject: Agronomy date: 2019

Total is 21 Results
Reducing Nitrous Oxide Emissions with Enhanced Efficiency Nitrogen Fertilizers in Wheat Production in Manitoba, Canada

10.4231/FXR5-F070

Mario Tenuta , Matthew Wood , Xiaopeng Gao ORCID logo

02/18/2019

This project was conducted to quantify and compare the application time (fall, spring) and source (EEF, non-EEF) effects of nitrogen fertilizers on nitrous oxide emissions and agronomic measurements of spring wheat in southern Manitoba, Canada.

4R 4R Nutrient Management Agronomy Canada Enhanced Efficiency Fertilizers Fall Application Hard Red Spring Wheat IPNI Manitoba N Timing N2O emission Nitrogen Fertilizer Nitrogen Use Efficiency Nitrous Oxide

Evaluation of nitrogen stabilizers - nitrogen use efficiency and greenhouse gas emissions in Alberta cereal crops

10.4231/MDJM-0529

Dick Puurveen , Len Kryzanowski , Miles Dyck , Yuanpei Gao

02/08/2019

These data files summarize spring wheat yields and annual soil N2O emissions (non-steady-state chamber measurements) at two sites in Alberta, Canada (Lethbridge and Ellerslie) over 2016 and 2017.

4R Agronomy IPNI Nitrogen Fertilizer Nitrous Oxide Soil Emissions

Uniform Soybean Tests Northern Region 2018

10.4231/6MHS-FZ56

Gary Nowling , Guohong Cai

05/01/2019

This dataset contains tables prepared for the 2018 Uniform Soybean Tests Northern Region Report.

Agriculture Agronomy Botany Crop Science Soybeans USDA-ARS

Potential Suitability for Subirrigation in the U.S. Midwest

10.4231/10ES-AH67

Benjamin Reinhart ORCID logo , Feng Yu ORCID logo , Jane Frankenberger ORCID logo , Jason Ackerson ORCID logo

11/08/2019

This series provides shapefiles showing the potential suitability, and limiting factors, for subirrigation in the U.S. Midwest based on gSSURGO soil data from the Natural Resources Conservation Service (NRCS).

Agricultural and Biological Engineering Agriculture Agronomy Drainage Geographic Information Systems (GIS) gSSURGO Irrigation Midwest Subirrigation Water Water Management

Environmental Covariate Data for Spatial Prediction of Soil Properties for the Busia Area, Kenya

10.4231/7F9R-4W74

Darrell Schulze ORCID logo , Joshua Minai

11/18/2019

Environmental covariates were carefully selected to represent factors of soil formation: climate, relief, organisms, and time.

Agronomy Busia Area Environmental Covariates Kenya Landsat Terrain Attributes WorldClim

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