Datasets

Subject
Creator
Type
Date

subject: Agronomy date: 2020

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 ORCID logo , Margaret Gitau ORCID logo , Nicole S. De Armond , Pauline Welikhe , Ronald F. Turco ORCID logo , Sylvie M. Brouder ORCID logo

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

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 ORCID logo , 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 ORCID logo , Cliff Johnston , Richard H Grant ORCID logo

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 ORCID logo , Seth A Tolley ORCID logo

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 ORCID logo , 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

Gary Nowling , Guohong Cai

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

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

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