PURR Registry

Subject

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

2023 10
2022 10
2021 5
2020 17
2019 20
2018 28
2016 4
2015 2
2014 4
2012 1

subject: Agronomy type: dataset

Total is 101 Results

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.

Agronomy Corn Crop yield Drainage Indiana

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