Metabolic and transcriptomic study of pennycress natural variation identifies targets for oil improvement (open access)

Metabolic and transcriptomic study of pennycress natural variation identifies targets for oil improvement

Article describes how, although pennycress, a winter annual, could be grown as a dedicated bioenergy crop, an increase in its seed oil content is required to improve its economic competitiveness. In this work, the authors combined biomass composition with metabolomic and transcriptomic studies of developing embryos from 22 pennycress natural variants to identify targets for oil improvement.
Date: June 19, 2023
Creator: Arias, Cintia Lucía; García Navarrete, Leidy Tatiana; Mukundi, Eric; Swanson, Tyler; Yang, Fan; Hernandez, Jonathan et al.
System: The UNT Digital Library
A Bayesian Rate Ratio Effect Size to Quantify Intervention Effects for Count Data in Single Case Experimental Research (open access)

A Bayesian Rate Ratio Effect Size to Quantify Intervention Effects for Count Data in Single Case Experimental Research

This article formulates a within-subject Bayesian rate ratio effect size (BRR) for autocorrelated count data that would obviate the need for small sample corrections. The authors illustrate this within-subject effect size using real data for an ABAB design and provide codes for practitioners who may want to compute BRR.
Date: June 19, 2020
Creator: Batley, Pathiba Natesan; Mehta, Smita S. & Hitchcock, John H.
System: The UNT Digital Library