subject: Agronomy creator: Mitchell Tuinstra, 0000-0002-5322-6519
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
10.4231/H1VR-0R08
Mitchell Tuinstra , Shelby M Gruss
12/22/2021
Dhurrin plays a key role in host-plant defense of sorghum. Studies of genetic mutants coupled with nondestructive phenotyping techniques revealed a significant metabolic tradeoff between dhurrin production and plant growth in sorghum seedlings.
10.4231/3GBF-RS75
Adedayo Adeyanju , Bhavesh Patel , Bruce A. Craig , Charles Addo-Quaye , Clifford Weil , Mitchell Tuinstra , Osvaldo H. Campanella , Richard Westerman , Stefanie Griebel , Suzanne M. Cunningham
07/24/2019
Seven novel alleles of SBEIIb and one allele of SSIIa co-segregated with the ASV phenotype and contributed to distinct starch quality traits important for food processing applications.
Agronomy Alkali Spreading Value Amylose Genomics Paste Viscosity Profiles SBEIIb Sorghum SSIIa Starch Gelatinization Variant Call Format (VCF)
10.4231/MY7W-FH43
Ayman F Habib , Ed Delp , Keith A Cherkauer , Larry L. Biehl , Melba M Crawford , Mitchell Tuinstra
05/27/2021
This publication includes sample rgb and hyperspectral image data collected in 2018 by unmanned aerial systems for a Sorghum Phenotying and Trait Analysis project being conducted at Purdue's Agronomy Center for Research and Education (ACRE).
Agronomy hyperspectral Phenotyping Remote Sensing Sorghum UAS
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
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
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
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
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
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