10.4231/SDJ6-9C84
Keith Johnson , Mitchell R Tuinstra , Shelby M Gruss
05/31/2022
Dhurrin is a cyanogenic glucoside of sorghum. Dhurrin content is thought to decline when making sorghum hay. Contrary to expectations, this study demonstrated that dhurrin was stable in sorghum tissues during the hay drying and curing process.
10.4231/1CKS-S381
Diane Ran Wang , Dmytro Chebotarov , Francisco Agosto-Perez , Jonathan Marchini , Kenneth McNally , Melissa Fitzgerald , Nickolai Alexandrov , Susan McCouch , Yuxin Shi
08/19/2021
Files required for imputation of rice genomes using IMPUTE-2 software.
Agronomy Genetic Diversity Genomics imputation reference panel Rice
10.4231/5BQ9-2V23
Jeffrey J. Volenec , Suzanne M. Cunningham , Sylvie M. Brouder , W. Kess Berg
08/13/2021
Concentrations of sugar, starch, protein, amino N, and RNA change in alfalfa taproots as plants acclimate for winter and when shoot growth resumes in spring. The direction and extent of these changes are altered by phosphorus and potassium...
Agriculture Agronomy Alfalfa Amino Acid growth Medicago Nonstructural carbohydrates Phosphorus Fertilizer Plant persistence Potassium Fertilizer Protein Roots Shoot growth Starch reserves Sugar reserves Winter hardiness Yield components
10.4231/D2JJ-Y263
Mitchell R Tuinstra , Seth A Tolley
10/12/2020
Ear photometry was used to characterize 298 ex-PVP inbred lines and 274 Drought Tolerant Maize for Africa (DTMA) inbred lines when crossed to Iodent (PHP02) and/or Stiff Stalk (2FACC) testers for 25 yield-related traits in 2017 and 2018.
Agronomy Ear photometry in maize testcrosses heat-tolerant maize Maize
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/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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