Datasets

subject: Agronomy type: dataset date: 2020

Total is 17 Results
R Pipeline for Calculation of APSIM Parameters and Generating the XML File

10.4231/69H7-CV75

Kai-Wei Yang, Mitchell Tuinstra, 0000-0002-5322-6519, 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, 0000-0002-5322-6519, 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, 0000-0002-5322-6519, 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, 0000-0002-5322-6519, 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, 0000-0002-5322-6519, 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, 0000-0002-5322-6519, 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

Alfalfa Variety Trial Database, 1986-1999

10.4231/PHKH-4334

Daniel Wiersma, Jeffrey Volenec, Stanislav Pejša, 0000-0001-5057-262X, Sylvie Brouder, Wayne G. Hartman

07/08/2020

An archived copy of the Alfalfa Variety Performance Database originally compiled in 2000 by Daniel W. Wiersma and Wayne G. Hartman. It contains data on yield, quality, and plant stand for over 2900 varieties from 700+ experiments conducted from...

Agriculture Agronomy Alfalfa alfalfa_db Biotic stress Crop yield Forage quality Genotype x environment insect resistance Lucerne Medicago Pathogen resistance performance persistence Winter hardiness yield improvement

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, 0000-0002-5322-6519, Seth A Tolley, 0000-0001-9664-3534

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

Phosphorus and Potassium Influence on Alfalfa Nutrition

10.4231/PPKB-VK18

B. C. Joern, Jeffrey J. Volenec, 0000-0002-5455-6157, K. D. Johnson, S. Lissbrant, Suzanne M Cunningham, Sylvie M. Brouder, 0000-0002-7785-5336, 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

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