Subject
- Crop Science 46
- Agriculture 40
- Botany 33
- Plant Pathology 33
- Soil Science 12
- 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
- Sara Peel 7
- T. Scott Abney 7
- Guohong Cai 6
- Jeffrey J. Volenec, 0000-0002-5455-6157 6
Type
- Dataset 101
Date
subject: Agronomy type: dataset
Total is 101 Results
Genetic and environmental variation in alfalfa forage quality from variety testing experiments conducted in North America between 1986 and 1999
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
Genetic and environmental variation in alfalfa stand persistence from variety testing experiments conducted in North America between 1986 and 1999
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
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.
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
Expression of Stay-Green in Dhurrin-Free Sorghum
10.4231/4ABA-TW22
Mitchell R Tuinstra
,
Shelby M Gruss
07/15/2022
This data examines the effects dhurrin production has on the stay-green trait by utilizing near isogenic lines, near isogenic backcrosses, and near isogenic hybrids varying in dhurrin production.
Surface boundary layer turbulence measurements: Purdue Agronomy Center for Research and Education
10.4231/JP60-BN82
05/19/2022
Dataset of measurements made between 2013 and 2021
Uniform Soybean Tests Northern Region 2020
10.4231/ZWFR-8Y15
Adam Nicholas Brock , Guohong Cai
05/09/2022
This dataset contains tables prepared for the 2020 Uniform Soybean Tests Northern Region Report.
Agriculture Agronomy Botany Botany and Plant Pathology Crop Science Plant Pathology Soybeans USDA-ARS
Uniform Soybean Tests Northern Region 2021
10.4231/8FTE-B575
Adam Nicholas Brock , Guohong Cai
05/09/2022
This dataset contains tables prepared for the 2021 Uniform Soybean Tests Northern Region Report.
Agriculture Agronomy Botany Crop Science Plant Pathology Soybeans USDA-ARS
Surface boundary layer turbulence on an 11% slope.
10.4231/3PT4-GD65
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
Display #
Results 81 - 90 of 101