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

Seedling growth and fall armyworm feeding preference influenced by dhurrin production in sorghum

10.4231/3PQE-NP07

Mitchell R Tuinstra ORCID logo , Shelby M Gruss

06/15/2021

Dhurrin plays a key role in host-plant defense of sorghum. Studies of genetic mutants coupled with nondestructive phenotyping techniques revealed a significant metabolic tradeoff between dhurrin production and plant growth in sorghum seedlings.

Agronomy dhurrin High-throughput Phenotyping Spodoptera frugiperda

Stability of dhurrin and HCN release in dried sorghum samples

10.4231/SDJ6-9C84

Keith Johnson , Mitchell R Tuinstra ORCID logo , Shelby M Gruss

05/31/2022

Dhurrin is a cyanogenic glucoside of sorghum. Dhurrin content is thought to decline when making sorghum hay. Contrary to expectations, this study demonstrated that dhurrin was stable in sorghum tissues during the hay drying and curing process.

Agronomy dhurrin Forage quality Sorghum

Geospatial Image Data for Sorghum Phenotyping

10.4231/MY7W-FH43

Ayman F Habib ORCID logo , Ed Delp ORCID logo , Keith A Cherkauer ORCID logo , Larry L. Biehl ORCID logo , Melba M Crawford , Mitchell Tuinstra ORCID logo

05/27/2021

This publication includes sample rgb and hyperspectral image data collected in 2018 by unmanned aerial systems for a Sorghum Phenotying and Trait Analysis project being conducted at Purdue's Agronomy Center for Research and Education (ACRE).

Agronomy hyperspectral Phenotyping Remote Sensing Sorghum UAS

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