Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Forecasting trait responses in novel environments to aid seed provenancing under climate change.

Molecular ecology resources - 1 Apr 2023

Putra Andhika R, Yen Jian D L, Fournier-Level Alexandre

Abstract excerpt

Revegetation projects face the major challenge of sourcing optimal plant material. This is often done with limited information about plant performance and increasingly requires factoring resilience to climate change. Functional traits can be used as quantitative indices of plant performance and guide seed provenancing, but trait values expected under novel conditions are often unknown. To support...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Climate Change
Share to Fertility
Share to Genotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Source

Identifiers

PMID: 36308465
DOI: 10.1111/1755-0998.13728

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Forecasting trait responses in novel environments to aid seed provenancing under climate change.PMID 36308465Read ↗

Association mapping of local climate-sensitive quantitative trait loci in Arabidopsis thaliana.Semantic proximity Read ↗

Plant Breeding in the face of climate changeSemantic proximity Read ↗

A claim for a 'next generation' of multisite range-wide forest genetic trials built on the legacy of ecological genetics to anticipate responses to climate.Semantic proximity Read ↗

The home field advantage of modern plant breeding.Semantic proximity Read ↗

Plants cultivated for ecosystem restoration can evolve towards a domestication syndromeSemantic proximity Read ↗

Genetic and Environmental Determinants Underlying the Dynamics of Soybean Flowering Time.Semantic proximity Read ↗

TraitCapture: genomic and environment modelling of plant phenomic data.Semantic proximity Read ↗

Climate envelope modelling reveals intraspecific relationships among flowering phenology, niche breadth and potential range size in Arabidopsis thaliana.Semantic proximity Read ↗

Towards a New Generation of Trait-Flexible Vegetation Models.Semantic proximity Read ↗

Explainable machine learning models of major crop traits from satellite-monitored continent-wide field trial dataSemantic proximity Read ↗

Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change.Semantic proximity Read ↗

Rapid alignment of functional trait variation with locality across the invaded range of Sahara mustard (Brassica tournefortii).Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.