Datasets

subject: Agronomy type: dataset

Total is 101 Results
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

Expression of Stay-Green in Dhurrin-Free Sorghum

10.4231/4ABA-TW22

Mitchell R Tuinstra ORCID logo , 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.

Agronomy dhurrin NDVI Plant Breeding Sorghum stay-green

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

Richard H Grant ORCID logo

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 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

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