Correction to "Arabidopsis RNA-Dependent RNA Polymerases and Dicer-Like Proteins in Antiviral Defense and Small Interfering RNA Biogenesis during Turnip Mosaic Virus Infection" by Garcia-Ruiz et al., 2010

<p>The figure depicted in the file Garcia-Ruiz_et_al_2010_PlantCell_Fig3-Corrected.jpg is a corrected version of Figure 3 originally published in Garcia-Ruiz et al., 2010 http://dx.doi.org/10.1105/tpc.109.073056 at The Plant Cell (http://www.plantcell.org), copyright American Society of Plant Biologists. In the original manuscript we determined that the immunoblot panel in Figure 3A does not correspond with the actual experiment that was run. Rather, the panel used corresponds to a blot from a different sample set that was used for Figure 3B. In tracing down the cause of the error, we determined that it occurred during final figure construction in which we used an incorrect blot panel from the same experiment. The file Garcia-Ruiz_et_al_2010_PlantCell_Fig3-Corrected.jpg now shows the correct blog image. For full transparency we are providing scans of the full coat protein blot films for Figure 3A and B. In the file Garcia-Ruiz_et_al_2010_PlantCell_Exp30-G1F-10Sec.tif, the left side of the blot has the samples for the inoculated leaf 7 days after infection (DAI) experiment (Figure 3A). The right side of the blot has unrelated samples that were not used in the experiment. In the file Garcia-Ruiz_et_al_2010_PlantCell_Exp30-G2F-15Sec.tif, the left side of the blot has the samples for the inflorescence 7 DAI experiment (Figure 3B). The right side of the blot has the samples for the inflorescence 15 DAI experiment (Figure 3B). We have contacted The Plant Cell regarding the error and submitted the corrected figure. We apologize for the mistake and regret that it was not detected prior to publication.</p

tiller-test_set2-A versatile phenotyping system and analytics platform reveals diverse temporal responses to water limitation in Setaria

<p>Set of images with manual tiller measurementments</p

biomass_set1_A versatile phenotyping system and analytics platform reveals diverse temporal responses to water limitation in Setaria

<p>This is the set of images that we have manual fresh weight biomass measurements for.</p

PlantCV release v1.0: Plant image analysis using Open Computer Vision (OpenCV)

<p>PlantCV is an imaging processing package specific for plants that is built upon open-source software platforms OpenCV, NumPy, and MatPlotLib. PlantCV was created at the Donald Danforth Plant Science Center in 2014 to analyze data from high-throughput plant phenotyping systems. PlantCV release v1.0 marks the final commit used in our manuscript [1]. If you want to repeat an analysis from the paper, checkout tag v1.0 after cloning the repository. This Figshare repository is an archival record of release v1.0.</p> <p>1. Fahlgren N, Feldman M, Gehan MA, Wilson MS, Shyu C, Bryant DW, Hill ST, McEntee CJ, Warnasooriya SN, Kumar I, Ficor T, Turnipseed S, Gilbert KB, Brutnell TP, Carrington JC, Mockler TC, Baxter I (2015) A versatile phenotyping system and analytics platform reveals diverse temporal responses to water availability in Setaria. Molecular Plant, in press.</p

Plant Biology 2015 Poster: Open-source tools for high-throughput plant phenotyping

<p>Demand for food, fuel, and other plant products is expected to increase dramatically over the next century. At the same time, environmental considerations require that increases in agricultural output must occur using less water, land, fertilizer, and other inputs per unit of yield. One strategy to sustainably increase productivity is to develop new crops and cultivars that use resources more efficiently. While decreasing DNA sequencing costs has enabled rapid genetic screening of crop germplasm, only recently has the development of robotic imaging platforms and low-cost sensors led to major improvements in phenotyping throughput. Here we present PlantCV, an open-source framework for analyzing high-throughput plant phenotyping data. We demonstrate the utility of PlantCV and high-throughput phenotyping by analyzing the phenotypic diversity of a population of <em>Camelina sativa</em> natural accessions using the Bellwether Phenotyping Platform at the Donald Danforth Plant Science Center. <em>C. sativa</em> is an oilseed crop from the family <em>Brassicaceae</em> that is an emerging source of oil for fuel and is also being developed as a production platform for high-value compounds. Analysis of images taken daily for five weeks was used to measure natural diversity in above ground biomass, growth rates, days to flowering, and other traits. Additional analysis of seed phenotypes including yield per plant, seed size, and oil content was used to identify <em>C. sativa</em> accessions that could enhance breeding efforts. Although PlantCV was developed for the LemnaTec-based Bellwether Phenotyping Platform, we demonstrate that PlantCV can also be applied to low-cost phenotyping solutions and encourage community input in future development.</p

A versatile phenotyping system and analytics platform reveals diverse temporal responses to water limitation in Setaria

<p>Associated with DOI:X</p