Datasets

Subject
Creator
Type
Date

subject: Agronomy type: dataset

Total is 101 Results
Busia Fuzzy Soil Class Map

10.4231/TDN8-PM14

Darrell Schulze ORCID logo , 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 ORCID logo , 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 ORCID logo , 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 ORCID logo , 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 ORCID logo , 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

Maize Response to P and K in 2006. Experiment 1 at Throckmorton Purdue Agricultural Center: Yield, Soil and Tissue P and K, and Seed and Stover Composition

10.4231/C1W0-8F75

Jeffrey J. Volenec ORCID logo , Sylvie M. Brouder ORCID logo

12/18/2019

Grain and stover yield and composition were determined for maize grown in soil previously fertilized annually for 8 years with potassium (K, 0 to 400 kg K/ha) and phosphorus (P, 0 to 75 kg P/ha) resulting in large differences in soil test P and K.

Agronomy Biomass Corn Grain Yield Indiana Maize Phosphorus Fertilizer Plant Nutrition Potassium Fertilizer Seed Composition Soil Fertility Stover Composition

R Pipeline for Calculation of APSIM Parameters and Generating the XML File

10.4231/69H7-CV75

Kai-Wei Yang , Mitchell Tuinstra ORCID logo , Scott Chapman

12/15/2020

A pipeline to generate the XML parameter file for APSIM was developed in R. The files and R codes are reported in "R Pipeline for Calculation of APSIM Parameters and Generating the XML File".

Agronomy APSIM Crop Growth Models APSIM Pipeline Remote Sensing

2018 West Lafayette Simulation of 18 Sorghum Hybrids

10.4231/KMK0-J993

Kai-Wei Yang , Mitchell Tuinstra ORCID logo , Scott Chapman

12/15/2020

The model calibration step compares the APSIM simulated results with measured phenotypes in field trials. Parameter adjustments are reported in “SorghumXMLOutputUQ”.

2018 Sorghum Simulation Agronomy APSIM Crop Model Remote Sensing

2015 West Lafayette Simulation of 18 Sorghum Hybrids

10.4231/0NX5-RT34

Kai-Wei Yang , Mitchell Tuinstra ORCID logo , Scott Chapman

12/15/2020

The APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2015 West Lafayette.

2015 Sorghum Crop Simulation Agronomy Biophysical crop models Remote Sensing

2017 West Lafayette Simulation of 18 Sorghum Hybrids

10.4231/6NW4-TB31

Kai-Wei Yang , Mitchell Tuinstra ORCID logo , Scott Chapman

12/15/2020

The calibrated APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2017 West Lafayette.

2017 Sorghum simulation Agronomy APSIM Crop Model Remote Sensing

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Results 81 - 90 of 101