A Novel High-Throughput Phenotyping Hydroponic System for Nitrogen Deficiency Studies in Arabidopsis thaliana
Document Type
Article
Publication Title
Methods in molecular biology (Clifton, N.J.)
PubMed ID
35895192
MeSH Headings (Medical Subject Headings)
Arabidopsis (genetics); Hydroponics; Nitrogen; Phenotype; Plant Development; Plants
Abstract
High-throughput phenotyping enables the temporal detection of subtle changes in plant plasticity and adaptation to different conditions, such as nitrogen deficiency, in an accurate, nondestructive, and unbiased way. Here, we describe a protocol to assess the contribution of nitrogen addition or deprival using an image-based system to analyze plant phenotype. Thousands of images can be captured throughout the life cycle of Arabidopsis, and those images can be used to quantify parameters such as plant growth (area, caliper length, diameter, etc.), in planta chlorophyll fluorescence, and in planta relative water content.
First Page
19
Last Page
24
DOI
10.1007/978-1-0716-2537-8_3
Publication Date
1-1-2022
E-ISSN
1940-6029
Recommended Citation
Acosta-Gamboa, Lucia M.; Campbell, Zachary C.; Gao, Fei; Babst, Benjamin; and Lorence, Argelia, "A Novel High-Throughput Phenotyping Hydroponic System for Nitrogen Deficiency Studies in Arabidopsis thaliana" (2022). Arkansas Biosciences Institute. 38.
https://arch.astate.edu/abi/38
