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subject: Agronomy creator: Mitchell Tuinstra, 0000-0002-5322-6519

Total is 9 Results
Seedling growth and fall armyworm feeding preference influenced by dhurrin production in sorghum

10.4231/H1VR-0R08

Mitchell Tuinstra ORCID logo , 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.

acyanogenic Agronomy dhurrin Fall Armyworm Phenotyping

Mutations in sorghum SBEIIb and SSIIa affect alkali spreading value, starch composition, thermal properties and flour viscosity

10.4231/3GBF-RS75

Adedayo Adeyanju ORCID logo , Bhavesh Patel , Bruce A. Craig ORCID logo , Charles Addo-Quaye , Clifford Weil , Mitchell Tuinstra ORCID logo , 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)

Geospatial Image Data for Sorghum Phenotyping

10.4231/MY7W-FH43

Ayman F Habib ORCID logo , Ed Delp ORCID logo , Keith A Cherkauer ORCID logo , Larry L. Biehl ORCID logo , Melba M Crawford , Mitchell Tuinstra ORCID logo

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

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

Texas Scenario Simulation of Sorghum Hybrids Using Historical Weather Data

10.4231/PRS2-AC22

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