subject: Agronomy type: dataset
10.4231/74KH-8X07
Darrell G Schulze
,
Shams Rahman R Rahmani
01/27/2023
Aerial imagery from 2013 of the Purdue Agronomy Center for Research and Education (ACRE), West Lafayette, IN.
10.4231/QS1J-6J77
Daniel Wiersma
,
Jeffrey Volenec
,
Stanislav Pejša
,
Sylvie Brouder
,
Wayne G. Hartman
05/25/2023
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 testing
10.4231/0C1Q-2G44
Mitchell R Tuinstra
,
Seth A Tolley
05/12/2023
Genotype-by-environment interaction (GEI) is among the greatest challenges for maize breeding programs. The main objectives of this study were to evaluate genetic parameters and perform genomic prediction using a reaction norm model.
Agronomy G2F Genome-Wide Association Study Genomes 2 Fields Genomic Prediction Genotype-by-environment Interaction Grain Yield GxE Maize Multi-environment Trial Reaction Norm Model
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
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
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
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
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
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
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
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