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Accelerating Adaptation of Forest Trees to Climate Change Using Individual Tree Response Functions
In forest tree breeding, assisted migration has been proposed to accelerate the adaptive response to climate change. Response functions are currently fitted across multiple populations and environments, enabling selections of the most appropriate seed sources for a specific reforestation site. So fa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650053/ https://www.ncbi.nlm.nih.gov/pubmed/34887888 http://dx.doi.org/10.3389/fpls.2021.758221 |
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author | Poupon, Valérie Chakraborty, Debojyoti Stejskal, Jan Konrad, Heino Schueler, Silvio Lstibůrek, Milan |
author_facet | Poupon, Valérie Chakraborty, Debojyoti Stejskal, Jan Konrad, Heino Schueler, Silvio Lstibůrek, Milan |
author_sort | Poupon, Valérie |
collection | PubMed |
description | In forest tree breeding, assisted migration has been proposed to accelerate the adaptive response to climate change. Response functions are currently fitted across multiple populations and environments, enabling selections of the most appropriate seed sources for a specific reforestation site. So far, the approach has been limited to capturing adaptive variation among populations, neglecting tree-to-tree variation residing within a population. Here, we combined the response function methodology with the in-situ breeding approach, utilizing progeny trials of European larch (Larix decidua) across 21 test sites in Austria ranging from Alpine to lowland regions. We quantified intra-population genetic variance and predicted individual genetic performance along a climatic gradient. This approach can be adopted in most breeding and conservation programs, boosting the speed of adaptation under climate change. |
format | Online Article Text |
id | pubmed-8650053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86500532021-12-08 Accelerating Adaptation of Forest Trees to Climate Change Using Individual Tree Response Functions Poupon, Valérie Chakraborty, Debojyoti Stejskal, Jan Konrad, Heino Schueler, Silvio Lstibůrek, Milan Front Plant Sci Plant Science In forest tree breeding, assisted migration has been proposed to accelerate the adaptive response to climate change. Response functions are currently fitted across multiple populations and environments, enabling selections of the most appropriate seed sources for a specific reforestation site. So far, the approach has been limited to capturing adaptive variation among populations, neglecting tree-to-tree variation residing within a population. Here, we combined the response function methodology with the in-situ breeding approach, utilizing progeny trials of European larch (Larix decidua) across 21 test sites in Austria ranging from Alpine to lowland regions. We quantified intra-population genetic variance and predicted individual genetic performance along a climatic gradient. This approach can be adopted in most breeding and conservation programs, boosting the speed of adaptation under climate change. Frontiers Media S.A. 2021-11-23 /pmc/articles/PMC8650053/ /pubmed/34887888 http://dx.doi.org/10.3389/fpls.2021.758221 Text en Copyright © 2021 Poupon, Chakraborty, Stejskal, Konrad, Schueler and Lstibůrek. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Poupon, Valérie Chakraborty, Debojyoti Stejskal, Jan Konrad, Heino Schueler, Silvio Lstibůrek, Milan Accelerating Adaptation of Forest Trees to Climate Change Using Individual Tree Response Functions |
title | Accelerating Adaptation of Forest Trees to Climate Change Using Individual Tree Response Functions |
title_full | Accelerating Adaptation of Forest Trees to Climate Change Using Individual Tree Response Functions |
title_fullStr | Accelerating Adaptation of Forest Trees to Climate Change Using Individual Tree Response Functions |
title_full_unstemmed | Accelerating Adaptation of Forest Trees to Climate Change Using Individual Tree Response Functions |
title_short | Accelerating Adaptation of Forest Trees to Climate Change Using Individual Tree Response Functions |
title_sort | accelerating adaptation of forest trees to climate change using individual tree response functions |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650053/ https://www.ncbi.nlm.nih.gov/pubmed/34887888 http://dx.doi.org/10.3389/fpls.2021.758221 |
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