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
Application of Open Path Fourier Transform Infrared Spectroscopy (OP-FTIR) to Measure Greenhouse Gas Concentrations from Agricultural Fields
10.4231/06W5-J904
Albert Heber
,
Cheng-Hsien Lin
,
Cliff Johnston
,
Richard Grant
06/06/2019
Application of Open Path Fourier Transform Infrared Spectroscopy (OP-FTIR) to Measure N2O and CO2 Concentrations from Agricultural Fields
Agronomy Atmospheric measurements CO2 Corn Greenhouse gases N2O Open-path FTIR spectroscopy Quality Assurance Quality Control
Southeast Purdue Agricultural Center (SEPAC) drainage research data, 1984-2020
10.4231/CTM1-0Y45
Eileen J Kladivko
,
Giorgi Chighladze
,
Laura C Bowling
,
Lori Abendroth
12/16/2022
This dataset contains research data obtained during a long-term subsurface drainage research project conducted at the Southeast Purdue Agricultural Center in Jennings County, Indiana, from 1984 to 2020.
Tile discharge, dissolved reactive phosphorus concentrations and loads for the WQFS (Water year 2011 – 2013).
10.4231/BJHE-3239
Jeffrey J. Volenec
,
Margaret Gitau
,
Nicole S. De Armond
,
Pauline Welikhe
,
Ronald F. Turco
,
Sylvie M. Brouder
11/24/2020
The data included here are for the WQFS tile discharge, DRP concentrations and loads for the Miscanthus x giganteus, continuous maize with residue removal, and switchgrass variety Shawnee treatments only.
Agronomy Dissolved reactive phosphorus P sink soils P source soils Phosphorus loss Tile discharge Water Quality water quality data Water Quality Field Station
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
Potential Suitability for Subirrigation in the U.S. Midwest
10.4231/10ES-AH67
Benjamin Reinhart
,
Feng Yu
,
Jane Frankenberger
,
Jason Ackerson
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
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