Datasets

subject: Agronomy subject: High-throughput Phenotyping creator: Mitchell R Tuinstra, 0000-0002-5322-6519

Total is 2 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

Seedling growth and fall armyworm feeding preference influenced by dhurrin production in sorghum

10.4231/3PQE-NP07

Mitchell R Tuinstra ORCID logo , 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

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