Subject
- Agriculture 6
- Plant Pathology 3
- Crop Science 2
- Botany 1
- Soil Science 1
Creator
- Kai-Wei Yang 6
- Mitchell Tuinstra, 0000-0002-5322-6519 6
- Scott Chapman 6
- Stanislav Pejša, 0000-0001-5057-262X 6
- Jeffrey Volenec, 0000-0002-5455-6157 5
- Wayne G. Hartman 5
- Daniel Wiersma 4
- Sylvie Brouder, 0000-0002-7785-5336 4
- Sylvie M. Brouder, 0000-0002-7785-5336 3
- Jeffrey J. Volenec, 0000-0002-5455-6157 2
Type
Date
- 2020 18
Total is 18 Results
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
Uniform Soybean Tests Northern Region 2019
10.4231/ASQG-CG68
04/30/2020
This dataset contains tables prepared for the 2019 Uniform Soybean Tests Northern Region Report.
Agriculture Agronomy Botany Crop Science Plant Pathology Soybeans USDA-ARS
Phosphorus and Potassium Influence on Alfalfa Nutrition
10.4231/PPKB-VK18
B. C. Joern
,
Jeffrey J. Volenec
,
K. D. Johnson
,
S. Lissbrant
,
Suzanne M Cunningham
,
Sylvie M. Brouder
,
W. K. Berg
05/27/2020
Data from several studies on the influence of phosphorus and potassium nutrition on alfalfa. It includes numeric data such as yield, plant mass, plant counts, and tissue concentration of various nutrients
Agronomy Crop Science Forage legumes Nutritive value Soil Fertility Soil Science Winter hardiness Yield components
Best linear unbiased predictions (BLUPs) for ear photometry traits of 831 testcross maize hybrids. This dataset was used in ANOVA and tukey testing to differentiate maize heterotic groups.
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
Display #
Results 1 - 10 of 18