subject: Agronomy type: dataset
10.4231/SY0A-W347
Augusto Souza
,
Carmela R. Guadagno
,
Chris Hoagland
,
Diane Ran Wang
,
Rachel Katrina Imel
,
To-Chia Ting
,
Yang Yang
12/08/2022
To predict rice physiological traits from automated hyperspectral data, 14 physiological traits were collected when the rice plants were six to 13 weeks old. Concurrently, side-view hyperspectral imaging events took place two to three times per week.
Agronomy Genetic Diversity growth traits Hyperspectral imaging Nitrogen Oryza sativa
10.4231/0JP3-WK59
Diane Ran Wang
,
Rachel Katrina Imel
10/04/2022
Rice introgression lines were analyzed for their response to water-deficit conditions under controlled environments at Purdue University as well as a field setting in Stuttgart, Arkansas.
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
10.4231/MY7W-FH43
Ayman F Habib
,
Ed Delp
,
Keith A Cherkauer
,
Larry L. Biehl
,
Melba M Crawford
,
Mitchell Tuinstra
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
10.4231/6MHS-FZ56
05/01/2019
This dataset contains tables prepared for the 2018 Uniform Soybean Tests Northern Region Report.
10.4231/06W5-J904
Albert Heber
,
Cheng-Hsien Lin
,
Cliff Johnston
,
Richard Grant
06/06/2019
Application of Open Path Fourier Transform Infrared Spectroscopy (OP-FTIR) to Measure N2O and CO2 Concentrations from Agricultural Fields
Agronomy Atmospheric measurements CO2 Corn Greenhouse gases N2O Open-path FTIR spectroscopy Quality Assurance Quality Control
10.4231/10ES-AH67
Benjamin Reinhart
,
Feng Yu
,
Jane Frankenberger
,
Jason Ackerson
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
10.4231/6D95-RH34
Darrell Schulze
,
Joshua Minai
11/18/2019
This is a disaggregated soil map of the Busia area.
Agronomy Busia Area Digital Soil Mapping Disaggregate K-Means Clustering Kenya Multiresolution Ridgetop Flatness Multiresolution Valley Bottom Flatness Planform Curvature Profile Curvature Topographic Position Index
10.4231/VA77-JB85
Darrell Schulze
,
Joshua Minai
11/18/2019
These are suitability classes defining the requirements for various crops/ land use types.
Agronomy Beans Busia Area Cabbage Cassava Coffee Corn Cotton Crop Suitability Map Decision Matrix Forage Crops Grazing Guavas Kale Kenya Land Suitability Map Unit Millets Onions Peanuts Rice Sorghum Sugarcane Sunflower Tomato
10.4231/7F9R-4W74
Darrell Schulze
,
Joshua Minai
11/18/2019
Environmental covariates were carefully selected to represent factors of soil formation: climate, relief, organisms, and time.
Agronomy Busia Area Environmental Covariates Kenya Landsat Terrain Attributes WorldClim
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