subject: Agronomy type: dataset
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
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
10.4231/FMY9-6966
Daniel W. Wiersma , Jeffrey Volenec , Stanislav Pejša , Sylvie Brouder , Wayne G. Hartman
06/15/2020
A compiled dataset of the metadata for alfalfa varieties and experimental lines from the Alfalfa Variety Performance Database 1986 to 1999.
Agriculture Agronomy Alfalfa Aphid resistance disease fall dormancy Flower color Grazing tolerance insect resistance Leafhopper resistance Lucerne Medicago Nematode resistance parentage Plant Pathology Root rot Winter survival yield improvement
10.4231/02PR-9H36
Daniel Wiersma , Jeffrey Volenec , Stanislav Pejša , Sylvie Brouder , Wayne G. Hartman
06/15/2020
The dataset contains data used to analyze genetic and environmental effects on alfalfa forage quality and corresponding forage yield. Data were compiled from variety tests conducted by University researchers in the US and Canada from 1986 through...
acid detergent fiber ADF Agronomy Alfalfa alfalfa_db crude protein digestibility Forage quality genetic variation Lucerne Medicago NDF neutral detergent fiber Nutritive value variety Yield components
10.4231/KK4K-QD96
Daniel Wiersma , Jeffrey Volenec , Stanislav Pejša , Sylvie Brouder , Wayne G. Hartman
06/15/2020
The dataset contains data used to analyze genetic and environmental effects on alfalfa stand persistence. Data were compiled from alfalfa varieties tests conducted by University researchers in the US and Canada from 1986 through 1999.
Agronomy Alfalfa alfalfa_db Genetic improvement genetic variation Genotype x environment Lucerne Medicago Plant persistence Stand persistence Stress tolerance Variety testing Winter hardiness
10.4231/Y31N-5R10
Daniel Wiersma , Jeffrey Volenec , Stanislav Pejša , Sylvie Brouder , Wayne G. Hartman
06/15/2020
The dataset contains data used to analyze genetic and environmental effects on alfalfa yield and agronomic performance. Data were compiled from alfalfa variety tests conducted by University researchers in the US and Canada from 1986 through 1999.
Agriculture Agronomy Alfalfa alfalfa_db Forage yield Genetic improvement Genotype x environment Germplasm Lucerne Medicago variety Variety testing yield improvement
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
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