Description
Manuscript, data, and code associated with a germination experiment using seed enhancement technologies in New South Wales, Australia.
Two scripts provided for use in R
'treatment_comparisons.txt' details treatment-wise comparisons of emergence, survival, and average time to emergence between treatments (1) bare seed and (2) pelletised replicates of native species
'trait_script.txt' details comparisons of seed morphological traits as predictors of species performance using pellets
Three major dataframes provided: Emergence_data.csv - raw emergence data from the experiment seed_traits_no_se.csv - average seed morphological trait information from x-ray images emergence_traits.csv- emergence speed data from species in the experiment
Three supporting dataframes provided: Amenability.csv - characterised amenability results_bin.csv - dataframe based on treatment models to use in plotting results pairwise_letters.csv - dataframe based on treatment models to use in plotting results
Two scripts provided for use in R
'treatment_comparisons.txt' details treatment-wise comparisons of emergence, survival, and average time to emergence between treatments (1) bare seed and (2) pelletised replicates of native species
'trait_script.txt' details comparisons of seed morphological traits as predictors of species performance using pellets
Three major dataframes provided: Emergence_data.csv - raw emergence data from the experiment seed_traits_no_se.csv - average seed morphological trait information from x-ray images emergence_traits.csv- emergence speed data from species in the experiment
Three supporting dataframes provided: Amenability.csv - characterised amenability results_bin.csv - dataframe based on treatment models to use in plotting results pairwise_letters.csv - dataframe based on treatment models to use in plotting results
| Date made available | 7 Jun 2024 |
|---|---|
| Publisher | osf |
| Geospatial polygon | 150.753046,-33.601989 150.742577,-33.61071 150.739831,-33.623576 150.776042,-33.635439 150.778273,-33.633581 150.757164,-33.604134 150.753046,-33.601989 |
UN SDGs
This dataset contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Research output
- 1 Article
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Morphological seed traits predict early performance of native species to pelletized seed enhancement technologies
Andres, S. E., Lieurance, P. E., Mills, C. H., Tetu, S. G. & Gallagher, R. V., Aug 2024, In: Plants. 13, 16, 15 p., 2256.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus)
Cite this
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