Subject
- Crop Science 47
- Agriculture 41
- Plant Pathology 34
- Botany 33
- Soil Science 13
- Geographic Information Systems (GIS) 4
Creator
- Wad D. Crochet 12
- Darrell Schulze, 0000-0001-9278-2457 9
- J.R. Wilcox 9
- Joshua Minai 9
- Mitchell Tuinstra, 0000-0002-5322-6519 9
- Gary Nowling 7
- Jeffrey J. Volenec, 0000-0002-5455-6157 7
- Sara Peel 7
- Stanislav Pejša, 0000-0001-5057-262X 7
- Sylvie M. Brouder, 0000-0002-7785-5336 7
Type
Date
Total is 104 Results
Environmental Covariate Data for Spatial Prediction of Soil Properties for the Busia Area, Kenya
10.4231/7F9R-4W74
Darrell Schulze
,
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
Environmental Covariate Data for the Disaggregation of the Reconnaissance Soil Map of the Busia Area, Kenya
10.4231/4DBT-2W68
Darrell Schulze
,
Joshua Minai
11/18/2019
Enviromental covariate data used to develop a digital model that represents the landscape and environmental conditions of the Busia landscape.
Agronomy Busia Area Digital Soil Mapping Disaggregate Geographic Information Systems (GIS) Kenya Soil Land Rule-Based Approach
Busia Fuzzy Soil Class Map
10.4231/TDN8-PM14
Darrell Schulze
,
Joshua Minai
11/18/2019
Map based on the concept that soil classes can be spatially inferred from soil-related environmental conditions.
Agronomy Busia Area Digital Soil Mapping Fuzzy Membership Values Geographic Information Systems (GIS) Kenya SoLIM
Busia K-Means Cluster Map
10.4231/4Q9T-FT90
Darrell Schulze
,
Joshua Minai
11/18/2019
Map that mimics the geometry of 'fully developed slopes'.
Agronomy Geographic Information Systems (GIS) K-Means Clustering Multiresolution Ridgetop Flatness Multiresolution Valley Bottom Flatness Planform Curvature Profile Curvature Slope Position Terrain Attributes Topographic Position Index
Busia Land Quality Maps
10.4231/KYJ5-S732
Darrell Schulze
,
Joshua Minai
11/18/2019
Independent diagnostic criteria reflecting limitations for land use.
Agronomy Busia Area Decision Matrix Kenya Land Evaluation Key Map Unit
Principal Components for Stepwise Multiple Linear Regression
10.4231/0FGR-Z715
Darrell Schulze
,
Joshua Minai
11/18/2019
Independent predictor variables for stepwise multiple linear regression.
Agronomy Environmental Covariates PCA Raster Stack RStoolbox Package RStudio Soil-Landscape Modelling Stepwise Multiple linear Regression
Soil Property Data for Spatial Prediction of Soil Properties for the Busia Area, Kenya
10.4231/00R1-HM25
Darrell Schulze
,
Joshua Minai
11/18/2019
Soil property data mined from the Reconnaissance Soil Survey of the Busia Area (quarter degree sheet No. 101) for digital soil mapping.
Agronomy Busia Area Digital Soil Mapping Equal Area Quadratic Smoothing Spline Function Kenya R ithir Package RStudio
Nitrous oxide emissions and field-level nitrogen balance of maize and other field crops: Data for meta-analysis
10.4231/DFB0-F030
Alison J. Eagle
,
Cameron M. Pittelkow
,
Claudia Wagner-Riddle
,
Craig F. Drury
,
David E. Pelster
,
Douglas R. Smith
,
G. Philip Robertson
,
Gustavo Cambareri
,
Martin H. Chantigny
,
Rex A. Omonode
,
Rodney T. Venterea
,
Sylvie M. Brouder
,
Timothy B. Parkin
,
Tony J. Vyn
09/14/2020
Dataset for meta-analysis establishing generalized relationship between N2O emissions and field-crop partial N balance. Quantifying on-farm N2O emissions for food-supply chains.
Agriculture Agronomy Greenhouse Gas Emissions Net Nitrogen Balance Nitrogen Nitrous Oxide row crops Surplus Nitrogen
Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model
10.4231/JE4B-8J88
Cheng-Hsien Lin
,
Cliff Johnston
,
Richard H Grant
09/21/2020
This file includes the data used in the figures of the manuscript entitled 'Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model'.
A backward Lagrangian stochastic (bLS) dispersion model Agronomy Atmospheric measurements Greenhouse Gas Emissions Maize multiple emission sources N2O OP-FTIR
Best linear unbiased predictions (BLUPs) for ear photometry traits of 831 testcross maize hybrids. This dataset was used in ANOVA and tukey testing to differentiate maize heterotic groups.
10.4231/D2JJ-Y263
Mitchell R Tuinstra
,
Seth A Tolley
10/12/2020
Ear photometry was used to characterize 298 ex-PVP inbred lines and 274 Drought Tolerant Maize for Africa (DTMA) inbred lines when crossed to Iodent (PHP02) and/or Stiff Stalk (2FACC) testers for 25 yield-related traits in 2017 and 2018.
Agronomy Ear photometry in maize testcrosses heat-tolerant maize Maize
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Results 51 - 60 of 104