The script used to make the corrections is available on Github ( https://github.com/ManuelLamothe/RapidACi ) it can be used to automatically correct multiple files at a time and to carry out post-measurement corrections to leaf area
Open resource ↗ManuelLamothe/RapidACi · lines:301-307Paper record
Measuring Rapid A-Ci Curves in Boreal Conifers: Black Spruce and Balsam Fir.
Frontiers in plant science · 25 Oct 2019 · 10.3389/fpls.2019.01276
Abstract
Climate change is steering tree breeding programs towards the development of families and genotypes that will be adapted and more resilient to changing environments. Making genotype-phenotype-environment connections is central to these predictions and it requires the evaluation of functional traits such as photosynthetic rates that can be linked to environmental variables. However, the ability to rapidly measure photosynthetic parameters has always been limiting. The estimation of V c,max and J max using CO 2 response curves has traditionally been time consuming, taking anywhere from 30 min to more than an hour, thereby drastically limiting the number of trees that can be assessed per day. Technological advancements have led to the development of a new generation of portable photosynthesis measurement systems offering greater chamber environmental control and automated sampling and, as a result, the proposal of a new, faster, method (RACiR) for measuring V c,max and J max . This method was developed using poplar trees and involves measuring photosynthetic responses to CO 2 over a range of CO 2 concentrations changing at a constant rate. The goal of the present study was to adapt the RACiR method for use on conifers whose measurement usually requires much larger leaf chambers. We demonstrate that the RACiR method can be used to estimate V c,max and J max in conifers and provide recommendations to enhance the method. The use our method in conifers will substantially reduce measurement time, thus greatly improving genotype evaluation and selection capabilities based on photosynthetic traits. This study led to the developpement of an R package (RapidACi, https://github.com/ManuelLamothe/RapidACi) that facilitates the correction of multiple RACiR files and the post-measurement correction of leaf areas.
Code and data availability
The paper's RACiR correction/analysis R package (RapidACi) is publicly available on GitHub, and example raw data (one uncorrected RACiR curve with its corresponding ECRC and A-Ci-TRAD) are provided in a second public GitHub repository for use with the supplementary example analysis. The full measurement datasets are on
data from one uncorrected RACiR curve and its corresponding ECRC and ACi-TRAD are provided at https://github.com/GuillaumeOtisPrudhomme/TestFiles for use with the example analyses in Data Sheet 1
Open resource ↗GuillaumeOtisPrudhomme/TestFiles · lines:480-531