Subject
- Agriculture 5
- Crop Science 2
- Plant Pathology 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 5
- Wayne G. Hartman 5
- Daniel Wiersma 4
- Jeffrey Volenec, 0000-0002-5455-6157 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
- Dataset 17
Date
- 2020 17
subject: Agronomy type: dataset date: 2020
Total is 17 Results
Metadata for alfalfa varieties and experimental lines 1986 to 1999
10.4231/FMY9-6966
Daniel W. Wiersma
,
Jeffrey Volenec
,
Stanislav Pejša
,
Sylvie Brouder
,
Wayne G. Hartman
06/15/2020
A compiled dataset of the metadata for alfalfa varieties and experimental lines from the Alfalfa Variety Performance Database 1986 to 1999.
Agriculture Agronomy Alfalfa Aphid resistance disease fall dormancy Flower color Grazing tolerance insect resistance Leafhopper resistance Lucerne Medicago Nematode resistance parentage Plant Pathology Root rot Winter survival yield improvement
Genetic and environmental variation in alfalfa forage quality from variety testing experiments conducted in North America between 1986 and 1999
10.4231/02PR-9H36
Daniel Wiersma
,
Jeffrey Volenec
,
Stanislav Pejša
,
Sylvie Brouder
,
Wayne G. Hartman
06/15/2020
The dataset contains data used to analyze genetic and environmental effects on alfalfa forage quality and corresponding forage yield. Data were compiled from variety tests conducted by University researchers in the US and Canada from 1986 through...
acid detergent fiber ADF Agronomy Alfalfa alfalfa_db crude protein digestibility Forage quality genetic variation Lucerne Medicago NDF neutral detergent fiber Nutritive value variety Yield components
Genetic and environmental variation in alfalfa stand persistence from variety testing experiments conducted in North America between 1986 and 1999
10.4231/KK4K-QD96
Daniel Wiersma
,
Jeffrey Volenec
,
Stanislav Pejša
,
Sylvie Brouder
,
Wayne G. Hartman
06/15/2020
The dataset contains data used to analyze genetic and environmental effects on alfalfa stand persistence. Data were compiled from alfalfa varieties tests conducted by University researchers in the US and Canada from 1986 through 1999.
Agronomy Alfalfa alfalfa_db Genetic improvement genetic variation Genotype x environment Lucerne Medicago Plant persistence Stand persistence Stress tolerance Variety testing Winter hardiness
Genetic and environmental variation in alfalfa forage yield from variety testing experiments conducted in North America between 1986 to 1999
10.4231/Y31N-5R10
Daniel Wiersma
,
Jeffrey Volenec
,
Stanislav Pejša
,
Sylvie Brouder
,
Wayne G. Hartman
06/15/2020
The dataset contains data used to analyze genetic and environmental effects on alfalfa yield and agronomic performance. Data were compiled from alfalfa variety tests conducted by University researchers in the US and Canada from 1986 through 1999.
Agriculture Agronomy Alfalfa alfalfa_db Forage yield Genetic improvement Genotype x environment Germplasm Lucerne Medicago variety Variety testing yield improvement
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
,
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
,
Cliff Johnston
,
Richard H Grant
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
Alfalfa Variety Trial Database, 1986-1999
10.4231/PHKH-4334
Daniel Wiersma
,
Jeffrey Volenec
,
Stanislav Pejša
,
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
Tile discharge, dissolved reactive phosphorus concentrations and loads for the WQFS (Water year 2011 – 2013).
10.4231/BJHE-3239
Jeffrey J. Volenec
,
Margaret Gitau
,
Nicole S. De Armond
,
Pauline Welikhe
,
Ronald F. Turco
,
Sylvie M. Brouder
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
,
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
,
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
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Results 1 - 10 of 17