Datasets

Subject
Creator
Type
Date

subject: Agronomy type: dataset

Total is 101 Results
Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2013.

10.4231/R71834GS

Megan Haas , Ronald F. Turco Jr. ORCID logo , Sara Peel

12/09/2016

Water quality data collected from the Lafayette area watershed in 2013. There are five samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.

Agronomy Algae Ammonia Crop Science Discharge Dissolved Oxygen Elliot Ditch Enterococci Escherichia coli Flow Forestry and Natural Resources Indiana Lafayette Little Pine Creek Little Wea Creek Orthophosphate pH Soil Science Specific Conductivity Temperature Total Coliforms Turbidity Wabash River Water Quality Watershed

Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2014.

10.4231/R7WH2N0H

Megan Haas , Ronald F. Turco ORCID logo , Sara Peel

12/09/2016

Water quality data collected from the Lafayette area watershed in 2014. There are five samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.

Agronomy Algae Ammonia Crop Science Discharge Dissolved Oxygen Elliot Ditch Enterococci Escherichia coli Flow Forestry and Natural Resources Indiana Lafayette Little Pine Creek Little Wea Creek Orthophosphate pH Soil Science Specific Conductivity Temperature Total Coliforms Turbidity Wabash River Water Quality Watershed

Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2015.

10.4231/R7RR1W7B

Megan Haas , Ronald Turco ORCID logo , Sara Peel

12/09/2016

Water quality data collected from the Lafayette area watershed in 2015. There are five samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.

Agronomy Algae Ammonia Crop Science Discharge Dissolved Oxygen Elliot Ditch Enterococci Escherichia coli Flow Forestry and Natural Resources Indiana Lafayette Little Pine Creek Little Wea Creek Orthophosphate pH Soil Science Specific Conductivity Temperature Total Coliforms Turbidity Wabash River Water Quality Watershed

Quantifying physiological trait variation with automated hyperspectral imaging in rice

10.4231/SY0A-W347

Augusto Souza , Carmela R. Guadagno , Chris Hoagland , Diane Ran Wang ORCID logo , Rachel Katrina Imel , To-Chia Ting ORCID logo , 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 ORCID logo , 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 ORCID logo

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

Agronomic responses of corn to long-term implementation of tillage and crop rotation systems in the US Corn Belt, from 1975 to 2022

10.4231/E031-BS21

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

02/02/2023

This dataset includes corn 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

Nutrient analysis of corn earleaf at R1 under tillage, crop rotation, nitrogen, and sulfur treatments within a long-term tillage study

10.4231/44K5-EJ32

Alicia West , Garrett S Verhagen , Terry D West , Tony J Vyn ORCID logo

01/11/2023

Nutrient analysis (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn earleaf at R1 under tillage, crop rotation, nitrogen (2017, 2019), and sulfur treatments (2020, 2021). Part of the Long-Term Tillage study in West Lafayette, IN.

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

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

10.4231/H1VR-0R08

Mitchell Tuinstra ORCID logo , 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 ORCID logo

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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