cb0d7a37-45c5-4645-b5ef-ba097d92fc20 English ISO/IEC 8859-1 (also known as Latin 1) nonGeographicDataset nonGeographicDataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:18:58 UK GEMINI 2.3 Growth rates of grass species with contrasting photosynthetic pathways and life histories 2020-08-04 publication https://catalogue.ceh.ac.uk/id/cb0d7a37-45c5-4645-b5ef-ba097d92fc20 10.5285/cb0d7a37-45c5-4645-b5ef-ba097d92fc20 doi: Wade, R.N., Seed, P., McLaren, E., Wood, E., Christin, P.A., Thompson, K., Rees, M., Osborne, C.P. (2020). Growth rates of grass species with contrasting photosynthetic pathways and life histories. NERC Environmental Information Data Centre 10.5285/cb0d7a37-45c5-4645-b5ef-ba097d92fc20 This dataset contains sequential biomass harvests from a plant growth experiment carried out under controlled environmental conditions in Sheffield. The experiment was carried out in three parts in 2016 and 2017, and was designed to investigate differences in growth among grasses with the C3 and C4 photosynthetic pathways, and with annual and perennial life histories. Plants were harvested approximately weekly over a period of five weeks. The data include information on the dry biomass of roots and leaves, and the numbers of roots, leaves and shoot branches. Also included is an independent dataset of leaf anatomical characteristics derived from herbarium specimens, which was used to test how mechanical support scales with leaf size. Finally, the data include the phylogenetic relationships among species, which were used in analyses. The work was funded by NERC standard grant NE/N003152/1. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/cb0d7a37-45c5-4645-b5ef-ba097d92fc20 Wade, R.N. University of Sheffield Ruth.Wade@adas.co.uk https://orcid.org/0000-0001-9572-8990 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Seed, P. University of Sheffield Patrick.Seed@nottingham.ac.uk author McLaren, E. University of Sheffield mclaren.eleanor@gmail.com https://orcid.org/0000-0002-2716-4721 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Wood, E. University of Sheffield helena.wood@ed.ac.uk https://orcid.org/0000-0002-8447-3766 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Christin, P.A. University of Sheffield p.christin@sheffield.ac.uk https://orcid.org/0000-0001-6292-8734 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Thompson, K. University of Sheffield ken.thompson@sheffield.ac.uk author Rees, M. University of Sheffield m.rees@sheffield.ac.uk https://orcid.org/0000-0001-8513-9906 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Osborne, C.P. University of Sheffield c.p.osborne@sheffield.ac.uk https://orcid.org/0000-0002-7423-3718 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Osborne, C.P. University of Sheffield c.p.osborne@sheffield.ac.uk https://orcid.org/0000-0002-7423-3718 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher University of Sheffield EMAIL NOT PROVIDED owner leaf biomass grass photosynthesis GEMET - Concepts, version 4.1.3 2019-01-28 creation plant growth leaf anatomical characteristics phylogenetic analysis Poaceae growth analysis plant biomass leaf area otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions © University of Sheffield otherRestrictions If you reuse this data, you should cite: Wade, R.N., Seed, P., McLaren, E., Wood, E., Christin, P.A., Thompson, K., Rees, M., Osborne, C.P. (2020). Growth rates of grass species with contrasting photosynthetic pathways and life histories. NERC Environmental Information Data Centre https://doi.org/10.5285/cb0d7a37-45c5-4645-b5ef-ba097d92fc20 English utf8 biota 2016-06-18 2017-07-26 Comma-separated values (CSV) Phylogenetic trees (.tre) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/cb0d7a37-45c5-4645-b5ef-ba097d92fc20.zip Supporting information Supporting information available to assist in re-use of this dataset information https://data-package.ceh.ac.uk/data/cb0d7a37-45c5-4645-b5ef-ba097d92fc20 Download the data Download a copy of this data download nonGeographicDataset nonGeographicDataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 A phylogeny for the species involved in the growth analysis was reconstructed using a set of sequences from four regions of the chloroplast genome that have been widely used in grass phylogenetics: trnKmatK, rbcL, ndhF and trnLtrnF. These markers were retrieved from NCBI databases when available for the species used here, and were amplified and Sanger sequenced using published protocols for species that had never been analysed. Each marker was then aligned using MUSCLE v.3.8.31, and the alignment was manually verified. The four markers were then concatenated, and a time-calibrated phylogenetic tree was inferred using Beast v1.8.4. The GTR+G+I substitution model was used, and the speciation prior was set to a Yule process. A relaxed molecular clock with a log-normal distribution was used. The monophyly of each of the BOP and PACMAD clades was enforced to root the tree, and the split of the two clades was constrained by a normal distribution with a mean of 51.2 and a standard deviation of 0.0001. Two analyses were run for 10,000,000 generations, with sampling frequency of 1,000 generations. Convergence of the runs and effective sampling sizes were monitored with Tracer v1.6, and the burn-in period was set to 5,000,000. Posterior trees from the two analyses were combined, and median ages were mapped on the highest credibility tree, which was used for comparative analyses.