PURR Registry

Kathleen Latz Soils Study (801901 and 801902)

10.4231/R7G73BMR

05/05/2015

Kathy Latz Soils Study

Agriculture Agronomy Exotech 20C-SW Laboratory for Applications of Remote Sensing (LARS) LARS Remote Sensing soil Soil Science

MEIGS Soil Ecology Project - Turco Lab 2014-2015

10.4231/R79W0CG7

Andrea Clavijo , Jacob D Widner , Lori A Hoagland , Marianne Bischoff Gray , Ronald F. Turco Jr.

12/12/2016

The purpose of this project was to study the effects of organic and conventional farming methods on soil microbial ecosystems by monitoring greenhouse gas (GHG) emissions from the soil during the planting season.

Agronomy Conventional Farming Crop Science Greenhouse Gas Emissions Organic Farming Soil Ecology Soil Emissions Soil Science

Phosphorus and Potassium Influence on Alfalfa Nutrition

10.4231/D3251FJ7S

Jeffrey J. Volenec

02/22/2012

Data from several studies on the influence of phosphorus and potassium nutrition on alfalfa. It includes numeric data such as yield, plant mass, plant counts, and tissue concentration of various nutrients

Agronomy Crop Science Forage legumes Nutritive value Soil Fertility Soil Science Winter hardiness Yield components

Southeast Purdue Agricultural Center (SEPAC) drainage research data, 1984-2020

10.4231/CTM1-0Y45

Eileen J Kladivko , Giorgi Chighladze , Laura C Bowling , Lori Abendroth

12/16/2022

This dataset contains research data obtained during a long-term subsurface drainage research project conducted at the Southeast Purdue Agricultural Center in Jennings County, Indiana, from 1984 to 2020.

Agronomy Corn Crop yield Drainage Indiana

Surface boundary layer turbulence on an 11% slope.

10.4231/3PT4-GD65

Richard H Grant

05/31/2022

Surface Boundary Layer Turbulence measurements in presence of mesoscale slope flow of 11% slope.

Agronomy Mesoscale Meteorology planetary boundary layer Slope Position wind

Quantifying physiological trait variation with automated hyperspectral imaging in rice

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

Evaluation of water-deficit responses in wild-by-cultivated rice introgression lines

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.

Agronomy Crop Science Drought Rice

Agronomic responses of soybean to long-term implementation of tillage and crop rotation systems in Indiana from 1975 to 2022

10.4231/2KQ5-KR50

D R Griffith , Garrett S Verhagen , J V Mannering , Terry D West , Tony J Vyn

02/02/2023

This dataset includes soybean population, heights, grain moisture at harvest, and grain yield measured in the Long-Term Tillage (LTT) study at the Agronomy Center for Research and Education (ACRE) in West Lafayette, IN, USA from 1975 to 2022.

Agronomy chisel-plow conservation tillage Corn crop rotation grain moisture Grain Yield Maize moldboard-plow no-till plant height plant population planting date Purdue University ridge-till Soybean strip-till

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

10.4231/H1VR-0R08

Mitchell Tuinstra , Shelby M Gruss

12/22/2021

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.

acyanogenic Agronomy dhurrin Fall Armyworm Phenotyping

Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

10.4231/FPHP-0153

Meng-yang Lin , Mitchell R Tuinstra

02/11/2022

High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.

Abiotic stress Agronomy Corn Ecophysiology High-throughput Phenotyping Machine Learning nitrogen content partial least square regression relative water content Remote Sensing Sorghum

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Total is 104 Results