High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach.

ABSTRACT: Leaf senescence is influenced by its life history, comprising a series of developmental and physiological experiences. Exploration of the biological principles underlying leaf lifespan and senescence requires a schema to trace leaf phenotypes, based on the interaction of genetic and environmental factors. We developed a new approach and concept that will facilitate systemic biological understanding of leaf lifespan and senescence, utilizing the phenome high-throughput investigator (PHI) with a single-leaf-basis phenotyping platform. Our pilot tests showed empirical evidence for the feasibility of PHI for quantitative measurement of leaf senescence responses and improved performance in order to dissect the progression of senescence triggered by different senescence-inducing factors as well

SUBMITTER: Lyu JI 

PROVIDER: S-EPMC5322180 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature