Image-based methods for phenotyping growth dynamics and fitness components in Arabidopsis thaliana.

ABSTRACT:

Background

The model species Arabidopsis thaliana has extensive resources to investigate intraspecific trait variability and the genetic bases of ecologically relevant traits. However, the cost of equipment and software required for high-throughput phenotyping is often a bottleneck for large-scale studies, such as mutant screening or quantitative genetics analyses. Simple tools are needed for the measurement of fitness-related traits, like relative growth rate and fruit production, without investment in expensive infrastructures. Here, we describe methods that enable the estimation of biomass accumulation and fruit number from the analysis of rosette and inflorescence images taken with a regular camera.

Results

We developed two models to predict plant dry mass and fru

SUBMITTER: Vasseur F 

PROVIDER: S-EPMC6060534 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature