Datasets

subject: Agronomy

Total is 104 Results
Aerial imagery of the Purdue Agronomy Center for Research and Education (ACRE) – 1963

10.4231/ZBHC-3K73

Darrell G Schulze ORCID logo , Shams Rahman R Rahmani ORCID logo

01/26/2023

Aerial imagery from 1963 of the Purdue Agronomy Center for Research and Education (ACRE), West Lafayette, IN, USA.

ACRE aerial photography Agronomy Remote sensing imagery

Aerial imagery of the Purdue Agronomy Center for Research and Education (ACRE) - 1976

10.4231/V168-XW88

Darrell G Schulze ORCID logo , Shams Rahman R Rahmani ORCID logo

01/26/2023

Aerial imagery from 1976 of the Purdue Agronomy Center for Research and Education (ACRE), West Lafayette, IN.

ACRE aerial photography Agronomy Remote sensing imagery

Aerial imagery of the Purdue Agronomy Center for Research and Education (ACRE) – 2013

10.4231/74KH-8X07

Darrell G Schulze ORCID logo , Shams Rahman R Rahmani ORCID logo

01/27/2023

Aerial imagery from 2013 of the Purdue Agronomy Center for Research and Education (ACRE), West Lafayette, IN.

ACRE aerial photography Agronomy Remote sensing imagery

Genetic and environmental variation in alfalfa forage yield from variety testing experiments conducted in North America between 1986 to 1999

10.4231/QS1J-6J77

Daniel Wiersma , Jeffrey Volenec ORCID logo , Stanislav Pejša ORCID logo , Sylvie Brouder ORCID logo , 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

Investigating the Genomic Background and Predictive Ability of Genotype-by-environment Interactions in Maize Grain Yield Based on Reaction Norm Models

10.4231/0C1Q-2G44

Mitchell R Tuinstra ORCID logo , Seth A Tolley ORCID logo

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

Uniform Soybean Tests Northern Region 2018

10.4231/6MHS-FZ56

Gary Nowling , Guohong Cai

05/01/2019

This dataset contains tables prepared for the 2018 Uniform Soybean Tests Northern Region Report.

Agriculture Agronomy Botany Crop Science Soybeans USDA-ARS

Potential Suitability for Subirrigation in the U.S. Midwest

10.4231/10ES-AH67

Benjamin Reinhart ORCID logo , Feng Yu ORCID logo , Jane Frankenberger ORCID logo , Jason Ackerson ORCID logo

11/08/2019

This series provides shapefiles showing the potential suitability, and limiting factors, for subirrigation in the U.S. Midwest based on gSSURGO soil data from the Natural Resources Conservation Service (NRCS).

Agricultural and Biological Engineering Agriculture Agronomy Drainage Geographic Information Systems (GIS) gSSURGO Irrigation Midwest Subirrigation Water Water Management

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