Subject
- Crop Science 46
- Agriculture 40
- Botany 33
- Plant Pathology 33
- Soil Science 12
- 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
- Sara Peel 7
- T. Scott Abney 7
- Guohong Cai 6
- Jeffrey J. Volenec, 0000-0002-5455-6157 6
Type
- Dataset 101
Date
subject: Agronomy type: dataset
Total is 101 Results
R Pipeline for Calculation of APSIM Parameters and Generating the XML File
10.4231/69H7-CV75
Kai-Wei Yang
,
Mitchell Tuinstra
,
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
,
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
,
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
,
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
Texas Scenario Simulation of Sorghum Hybrids Using Historical Weather Data
10.4231/PRS2-AC22
Kai-Wei Yang
,
Mitchell Tuinstra
,
Scott Chapman
12/15/2020
In the Texas scenario simulations, the physiology parameters from 2018 West Lafayette were used to run APSIM simulations in Bushland, TX using multi-year historical weather data.
Agronomy APSIM Forage sorghum crop models Texas Scenario Simulation
West Lafayette Scenario Simulation of Sorghum Hybrids Using Historical Weather Data
10.4231/63GJ-CJ23
Kai-Wei Yang
,
Mitchell Tuinstra
,
Scott Chapman
12/15/2020
In the West Lafayette scenario simulations, the physiology parameters from 2018 West Lafayette were used to run APSIM simulations in West Lafayette using multi-year historical weather data.
Agronomy APSIM Forage sorghum modelling West Lafayette Scenario Simulation
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
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
Purdue Agronomy Farm Calibration (781806)
10.4231/R76T0JK1
05/04/2015
Calibration data
Agronomy calibration Crop Science Crops Exotech 20C-SW LARS reflectance references Remote Sensing Soil Science solar illumination spectral observations spectrometer
MEIGS Soil Ecology Project - Turco Lab 2014-2015
10.4231/R79W0CG7
Andrea Clavijo
,
Jacob D Widner
,
Lori A Hoagland
,
Marianne Bischoff Gray
,
Ronald F. Turco Jr.
12/12/2016
The purpose of this project was to study the effects of organic and conventional farming methods on soil microbial ecosystems by monitoring greenhouse gas (GHG) emissions from the soil during the planting season.
Agronomy Conventional Farming Crop Science Greenhouse Gas Emissions Organic Farming Soil Ecology Soil Emissions Soil Science
Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2013.
10.4231/R71834GS
Megan Haas
,
Ronald F. Turco Jr.
,
Sara Peel
12/09/2016
Water quality data collected from the Lafayette area watershed in 2013. There are five samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.
Agronomy Algae Ammonia Crop Science Discharge Dissolved Oxygen Elliot Ditch Enterococci Escherichia coli Flow Forestry and Natural Resources Indiana Lafayette Little Pine Creek Little Wea Creek Orthophosphate pH Soil Science Specific Conductivity Temperature Total Coliforms Turbidity Wabash River Water Quality Watershed
Display #
Results 1 - 10 of 101