10.4231/R71834GS
Megan Haas
,
Ronald F. Turco Jr.
,
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
10.4231/R7WH2N0H
Megan Haas
,
Ronald F. Turco
,
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
10.4231/R7RR1W7B
Megan Haas
,
Ronald Turco
,
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
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
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
10.4231/D3251FJ7S
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
10.4231/1CKS-S381
Diane Ran Wang
,
Dmytro Chebotarov
,
Francisco Agosto-Perez
,
Jonathan Marchini
,
Kenneth McNally
,
Melissa Fitzgerald
,
Nickolai Alexandrov
,
Susan McCouch
,
Yuxin Shi
08/19/2021
Files required for imputation of rice genomes using IMPUTE-2 software.
Agronomy Genetic Diversity Genomics imputation reference panel Rice
10.4231/5BQ9-2V23
Jeffrey J. Volenec
,
Suzanne M. Cunningham
,
Sylvie M. Brouder
,
W. Kess Berg
08/13/2021
Concentrations of sugar, starch, protein, amino N, and RNA change in alfalfa taproots as plants acclimate for winter and when shoot growth resumes in spring. The direction and extent of these changes are altered by phosphorus and potassium...
Agriculture Agronomy Alfalfa Amino Acid growth Medicago Nonstructural carbohydrates Phosphorus Fertilizer Plant persistence Potassium Fertilizer Protein Roots Shoot growth Starch reserves Sugar reserves Winter hardiness Yield components
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.
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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