Subject
- Crop Science 47
- Agriculture 41
- Plant Pathology 34
- Botany 33
- Soil Science 13
- Geographic Information Systems (GIS) 4
Creator
- Wad D. Crochet 12
- Darrell Schulze, 0000-0001-9278-2457 9
- J.R. Wilcox 9
- Joshua Minai 9
- Mitchell Tuinstra, 0000-0002-5322-6519 9
- Gary Nowling 7
- Jeffrey J. Volenec, 0000-0002-5455-6157 7
- Sara Peel 7
- Stanislav Pejša, 0000-0001-5057-262X 7
- Sylvie M. Brouder, 0000-0002-7785-5336 7
Type
Date
Total is 104 Results
Archived standard tests to characterize stress tolerance and agronomic performance of alfalfa cultivars
10.4231/N24B-MV16
North American Alfalfa Improvement Conference
,
Jeffrey Volenec
,
Stanislav Pejša
07/08/2020
The dataset contains standard test protocols used to characterize alfalfa cultivars compiled by the The North American Alfalfa Improvement Conference.
Abiotic stress Agriculture Agronomy Alfalfa Alfalfa breeding alfalfa_db Bacterial pathogen Biotic Resistance Biotic stress Forage quality Fungal pathogen Grazing tolerance Insect stress Lucerne Medicago Plant Breeding Plant Pathology Resistance score resistance tests Stress tolerance Winter hardiness
Nitrous oxide emissions and field-level nitrogen balance of maize and other field crops: Data for meta-analysis
10.4231/DFB0-F030
Alison J. Eagle
,
Cameron M. Pittelkow
,
Claudia Wagner-Riddle
,
Craig F. Drury
,
David E. Pelster
,
Douglas R. Smith
,
G. Philip Robertson
,
Gustavo Cambareri
,
Martin H. Chantigny
,
Rex A. Omonode
,
Rodney T. Venterea
,
Sylvie M. Brouder
,
Timothy B. Parkin
,
Tony J. Vyn
09/14/2020
Dataset for meta-analysis establishing generalized relationship between N2O emissions and field-crop partial N balance. Quantifying on-farm N2O emissions for food-supply chains.
Agriculture Agronomy Greenhouse Gas Emissions Net Nitrogen Balance Nitrogen Nitrous Oxide row crops Surplus Nitrogen
Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model
10.4231/JE4B-8J88
Cheng-Hsien Lin
,
Cliff Johnston
,
Richard H Grant
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
,
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
Seedling growth and fall armyworm feeding preference influenced by dhurrin production in sorghum
10.4231/3PQE-NP07
Mitchell R Tuinstra
,
Shelby M Gruss
06/15/2021
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.
Agronomy dhurrin High-throughput Phenotyping Spodoptera frugiperda
Stability of dhurrin and HCN release in dried sorghum samples
10.4231/SDJ6-9C84
Keith Johnson
,
Mitchell R Tuinstra
,
Shelby M Gruss
05/31/2022
Dhurrin is a cyanogenic glucoside of sorghum. Dhurrin content is thought to decline when making sorghum hay. Contrary to expectations, this study demonstrated that dhurrin was stable in sorghum tissues during the hay drying and curing process.
Rice imputation files: reference panel and recombination map
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
Environmental Covariate Data for Spatial Prediction of Soil Properties for the Busia Area, Kenya
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
Environmental Covariate Data for the Disaggregation of the Reconnaissance Soil Map of the Busia Area, Kenya
10.4231/4DBT-2W68
Darrell Schulze
,
Joshua Minai
11/18/2019
Enviromental covariate data used to develop a digital model that represents the landscape and environmental conditions of the Busia landscape.
Agronomy Busia Area Digital Soil Mapping Disaggregate Geographic Information Systems (GIS) Kenya Soil Land Rule-Based Approach
Busia Fuzzy Soil Class Map
10.4231/TDN8-PM14
Darrell Schulze
,
Joshua Minai
11/18/2019
Map based on the concept that soil classes can be spatially inferred from soil-related environmental conditions.
Agronomy Busia Area Digital Soil Mapping Fuzzy Membership Values Geographic Information Systems (GIS) Kenya SoLIM
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