Large dataset analyses advance knowledge of seed ecology and evolutionary biology
New Phytol
.
2024 Jun;242(6):2399-2400.
doi: 10.1111/nph.19752.
Epub 2024 Apr 21.
Authors
Sergey Rosbakh
1
,
Angelino Carta
2
,
Eduardo Fernández-Pascual
3
,
Shyam S Phartyal
4
,
Roberta L C Dayrell
5
,
Efisio Mattana
5
,
Arne Saatkamp
6
,
Filip Vandelook
7
,
Jerry M Baskin
8
,
Carol C Baskin
8
9
Affiliations
1
Department of Plant and Environmental Sciences, University of Copenhagen, Denmark, 1871, Frederiksberg, Denmark.
2
Department of Biology, Botany Unit, University of Pisa, Pisa, 56126, Italy.
3
IMIB Biodiversity Research Institute (University of Oviedo - CSIC - Principality of Asturias), University of Oviedo, 33600, Mieres, Spain.
4
School of Ecology and Environment Studies, Nalanda University, 803116, Rajgir, India.
5
Royal Botanic Gardens, Kew, Wakehurst, RH17 6TN, Ardingly, UK.
6
Aix Marseille Université, IMBE, Avignon Univ, CNRS, IRD, 13397, Marseille, France.
7
Meise Botanic Garden, Nieuwelaan 38, Meise, 1860, Belgium.
8
Department of Biology, University of Kentucky, Lexington, Kentucky, 40506-022, USA.
9
Department of Plants and Soil Sciences, University of Kentucky, Lexington, Kentucky, 40506-022, USA.
PMID:
38643978
DOI:
10.1111/nph.19752
No abstract available
Keywords:
ecology; methodology of science; open science; seed dormancy; seed traits.
Publication types
Letter
MeSH terms
Biological Evolution*
Datasets as Topic
Ecology*
Seeds* / genetics
Seeds* / physiology
Grants and funding
Novo Nordisk Foundation