Datasets

subject: Agronomy date: 2022

Total is 10 Results
Southeast Purdue Agricultural Center (SEPAC) drainage research data, 1984-2020

10.4231/CTM1-0Y45

Eileen J Kladivko ORCID logo , Giorgi Chighladze ORCID logo , Laura C Bowling ORCID logo , Lori Abendroth ORCID logo

12/16/2022

This dataset contains research data obtained during a long-term subsurface drainage research project conducted at the Southeast Purdue Agricultural Center in Jennings County, Indiana, from 1984 to 2020.

Agronomy Corn Crop yield Drainage Indiana

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

Evaluation of water-deficit responses in wild-by-cultivated rice introgression lines

10.4231/0JP3-WK59

Diane Ran Wang ORCID logo , Rachel Katrina Imel

10/04/2022

Rice introgression lines were analyzed for their response to water-deficit conditions under controlled environments at Purdue University as well as a field setting in Stuttgart, Arkansas.

Agronomy Crop Science Drought Rice

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

Stability of dhurrin and HCN release in dried sorghum samples

10.4231/SDJ6-9C84

Keith Johnson , Mitchell R Tuinstra ORCID logo , 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.

Agronomy dhurrin Forage quality Sorghum

Display #

Results 1 - 10 of 10