Leaf Angle eXtractor: A high-throughput image processing framework for leaf angle measurements in maize and sorghum.

ABSTRACT:

Premise

Maize yields have significantly increased over the past half-century owing to advances in breeding and agronomic practices. Plants have been grown in increasingly higher densities due to changes in plant architecture resulting in plants with more upright leaves, which allows more efficient light interception for photosynthesis. Natural variation for leaf angle has been identified in maize and sorghum using multiple mapping populations. However, conventional phenotyping techniques for leaf angle are low throughput and labor intensive, and therefore hinder a mechanistic understanding of how the leaf angle of individual leaves changes over time in response to the environment.

Methods

High-throughput time series image data from water-deprived maize (Zea mays subsp

SUBMITTER: Kenchanmane Raju SK 

PROVIDER: S-EPMC7507698 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature