Subject
Creator
- North American Alfalfa Improvement Conference 1
- Jeffrey Volenec, 0000-0002-5455-6157 1
- Meng-yang Lin 1
- Mitchell R Tuinstra, 0000-0002-5322-6519 1
- Stanislav Pejša, 0000-0001-5057-262X 1
Type
Date
subject: Agronomy subject: Abiotic stress
Total is 2 Results
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
Archived standard tests to characterize stress tolerance and agronomic performance of alfalfa cultivars
10.4231/N24B-MV16
North American Alfalfa Improvement Conference
,
Jeffrey Volenec
,
Stanislav Pejša
07/08/2020
The dataset contains standard test protocols used to characterize alfalfa cultivars compiled by the The North American Alfalfa Improvement Conference.
Abiotic stress Agriculture Agronomy Alfalfa Alfalfa breeding alfalfa_db Bacterial pathogen Biotic Resistance Biotic stress Forage quality Fungal pathogen Grazing tolerance Insect stress Lucerne Medicago Plant Breeding Plant Pathology Resistance score resistance tests Stress tolerance Winter hardiness
Display #
Results 1 - 2 of 2