Datasets

subject: Agronomy

Total is 104 Results
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

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

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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