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
Tile discharge, dissolved reactive phosphorus concentrations and loads for the WQFS (Water year 2011 – 2013).
10.4231/BJHE-3239
Jeffrey J. Volenec, 0000-0002-5455-6157, Margaret Gitau, 0000-0002-4931-7047, Nicole S. De Armond, Pauline Welikhe, Ronald F. Turco, 0000-0002-1794-1486, Sylvie M. Brouder, 0000-0002-7785-5336
11/24/2020
The data included here are for the WQFS tile discharge, DRP concentrations and loads for the Miscanthus x giganteus, continuous maize with residue removal, and switchgrass variety Shawnee treatments only.
Agronomy Dissolved reactive phosphorus P sink soils P source soils Phosphorus loss Tile discharge Water Quality water quality data Water Quality Field Station
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
Nitrous oxide emissions and field-level nitrogen balance of maize and other field crops: Data for meta-analysis
10.4231/DFB0-F030
Alison J. Eagle, Cameron M. Pittelkow, Claudia Wagner-Riddle, Craig F. Drury, David E. Pelster, Douglas R. Smith, G. Philip Robertson, Gustavo Cambareri, Martin H. Chantigny, Rex A. Omonode, Rodney T. Venterea, Sylvie M. Brouder, 0000-0002-7785-5336, Timothy B. Parkin, Tony J. Vyn
09/14/2020
Dataset for meta-analysis establishing generalized relationship between N2O emissions and field-crop partial N balance. Quantifying on-farm N2O emissions for food-supply chains.
Agriculture Agronomy Greenhouse Gas Emissions Net Nitrogen Balance Nitrogen Nitrous Oxide row crops Surplus Nitrogen
Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model
10.4231/JE4B-8J88
Cheng-Hsien Lin, 0000-0001-6580-5457, Cliff Johnston, Richard H Grant, 0000-0001-9464-6942
09/21/2020
This file includes the data used in the figures of the manuscript entitled 'Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model'.
A backward Lagrangian stochastic (bLS) dispersion model Agronomy Atmospheric measurements Greenhouse Gas Emissions Maize multiple emission sources N2O OP-FTIR
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
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
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, 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
Display #
Results 1 - 10 of 18